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Antje Graupe Pryor Cancer Data Science Award 2026 - Oncology News, Insights, Stories by OncoDaily
The Antje Graupe Pryor Cancer Data Science Award 2026, administered by the Arnie Charbonneau Cancer Institute, provides C$40,000 for a Calgary-led project
Can RegTech close the blind spots in business verification?
Can RegTech close the blind spots in business verification? Hear some of the key insights from industry leaders here.
Regional business leaders share their perspectives on giving back
This month we asked: In what ways does your organization give back to the community?
The Last Disney+ Original?
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get going, I wanted to remind readers about how I plan to keep your trust while I add advertising to this newsletter. As you’ve no doubt noticed, I’m running ads now, but the danger is that it could impact my analysis and writing. I have a list of sponsors on my About Page, so if you think I’m biased, you can check out who’s sponsored this newsletter! This is something that I’m not sure anyone else in digital media does (if you’re a writer or media outlet and you do this, let me know and I’ll shout you out!) but it’s something I’d love to see embraced by the entire industry. Sunlight, i.e. transparency, is often the best disinfectant. Okay, on to this week’s issue. We (finally) have another major Disney+ TV show to talk about, so that’s my main focus for today. Plus, we had a lot of new shows come out, including the fourth seasons of The Diplomat and Tulsa King! And Love is Blind! The Lowdown! Also, four (four!) straight-to-streaming films came out this week, featuring a lot of big names and celebrities, so I’m going to look at those. All that, mixed news for the WNBA, Reacher ends its run on the charts, Skydance does well in September viewership, NYU’s Sundance dominance, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of October 12th to October 18th, 2026. You can find a link to my terminology here.) Subscribe Television - Disney+’s Porridge Problem Listen, per my headline, VisionQuest isn’t the last Disney+ Original. At least, I’m pretty sure it’s not. They have other MCU shows in development. Well, maybe one: But it sure feels like the end of an era. I’d call it their “porridge too hot” era, to quote myself from The Ringer. I told Ben Lindbergh that Disney+ seemingly couldn’t figure out the right amount of content. In the heights of the Streaming Bubble Era (circa 2019 to 2022), they started releasing an insane amount of TV shows. After their growth slowed, they’re down to two or three shows a year, and that might be down to 1 by 2027. Here’s my TV shows by year chart: Even at the time, I thought Disney was making too many shows (that cost too much). Today? They’re definitely making too few shows (though the budgets are more in check, at least according to the reporting). Porridge too hot, porridge too cold; too many shows, now not enough. Which makes evaluating VisionQuest so interesting. This show didn’t have a great lead-in, whether it be a Marvel Cinematic Universe film (the last non-Sony-produced-Spider-Man flick came out The Fantastic Four from July of 2025) or Marvel Cinematic Universe TV show (the two this year were Wonder Man back in January and _Daredevil: Born Again_in May, both of which underwhelmed). And so far, VisionQuest hasn’t quite recaptured the MCU Originals glory, but it has some signs of sparks. First, it made Samba TV, though at a lowly ninth place. At least it made it, a feat some other Marvel shows didn’t accomplish. (Ironheart landed on the Samba TV charts one week at tenth place, but Wonder Man and Daredevil: Born Again both missed.) VisionQuest also made Luminate, though with only 3.0 and 7.6 million hours. But it missed Nielsen in its first week. The best news might be its 7.8 on IMDb, on 12K reviews so far, great numbers, even for a superhero show. Looking at those numbers, this show will really need to pick up in future weeks—and it may since it’s coming out weekly—or Disney will have another disappointment on its hands. Disney+ binge-released their last few shows to try to boost numbers, but that meant shows like Iron Heart and Wonder Man didn’t last long on the charts. _Daredevil: Born Again’s_last season missed entirely (though it came out weekly). Here’s the Disney+ Originals by totals: And for a fun new look, here are those same shows, rearranged by the years they came out: That really shows that, in addition to Disney+ releasing fewer shows, those shows just don’t hit like they once did. If I had to offer one main explanation, it’s that Marvel Studios moved away from characters who starred in the Avengersmovies (The Scarlett Witch, Vision, Hawkeye, Loki, Falcon, Winter Soldier) to characters who didn’t (Moon Knight, She-Hulk, Iron Heart, Wonder Man, Daredevil). It sounds trite, but more popular IP tends to do better than less popular IP. In Marvel’s case, beloved, decades-old characters trump newer ones. And yes, I think this is a problem for Disney. The failure of Marvel TV shows to linger for weeks on the charts, unlike in 2021 and 2022, explains why Disney’s share of the charts has plummeted: That’s a strategic issue. Yes, these shows are really expensive, but without them, Disney+ will struggle, especially if Disney+ keeps raising prices AND licenses out its shows non-exclusively. My recommendation? Return to the core value proposition, which is Disney+ as “genre HBO”. The goal is six shows a year, coming out weekly, spaced out throughout the year. When a show hits, keep it coming back. Make three to four of those shows Marvel or Star Wars, and fill out the rest with IP swings like Percy Jackson, Goosebumps or something like National Treasure. And make YA-skewing shows like Coven Academy to fill out the schedule. Disney, you can get this porridge just right, er, make the right number of shows. Quick Notes on TV Netflix’s sophomore, er, junior, er, senior season slump abated very, very slightly this week. I speak of The Diplomat, which returned for its fourth season on 15-Oct. Credit where credit is due, this show debuted in April of 2023, and has put out new seasons every year since. Has that helped the viewership? Not really. This season opened to 16.4 million hours, which is down significantly from the first season (21.7 million hours) and down somewhat from the second season (18.0 million hours), but it is up from last year’s 14.2 million hours opening. On Samba TV, it opened to third place; that’s also very good. On Luminate, it opened to 25.0 million hours, which is good, but over thirty million hours is a hit on that platform. Netflix wisely renewed it, since it’s steady and, frankly, Netflix needs hits.1 Paramount+ put out Tulsa King’s fourth season on a Friday. After putting out most of their big, usually-Taylor Sheridan-scripted shows out on Sundays last year, they’ve clearly moved to Fridays going forward. Was this a thought-out strategic change, Netflix mimicry, or a data-inspired move? Tough to say. Fridays are crowded with new movies, but so are Sundays with new shows. Anyways, this one is coming out weekly, and we haven’t seen it hit the Nielsen or Luminate charts yet. But it did make Samba TV at fifth place, which is a good opening. Still, if this doesn’t make Luminate or Nielsen next week, I’d call it a disappointment. Netflix had two unscripted shows hit the charts this week, one a docu-series and one a reality competition show. Tyson is a four-episode docu-series about one of boxing’s most popular fighters, and it made both the Samba TV and Luminate charts, but not Nielsen. That’s a solid run for only four episodes (assuming it didn’t cost an arm and a leg to produce). Netflix’s latest season of Love Is Blind also returned for its eleventh season, which opened to 10.0 million hours, down from previous seasons. It also had 11.0 million hours according to Luminate, roughly in line with the Nielsen numbers. Last issue, I analyzed the triple successes of Below, Carrie and Crystal Lake, noting that all three have done well. I mostly used Nielsen, but all three shows also made Samba TV (see above). Crystal Lake in particular did very well on Luminate, getting 35.0 million hours, top for Peacock among first seasons: The top “show” of the week would have been Thursday Night Football again, at 41.7 million hours. This is still above last year’s game, but it continues the season’s overall downward trend, which happens every year. (Though a big week is coming, based on the news stories I’ve seen.) As I said before, I’ll do a deeper dive on all the October games later this month, with comparisons to previous years. One company is quietly on a roll, when you consider the shows it makes and streams. I speak of Skydance—a point Variety made—noting that it produces Neagley and Reacher for Amazon, along with Paramount+’s Lioness, which means it produced three of the top four shows of September according to Nielsen. By the way, Neagley fell off the Nielsen charts after four weeks, which is a pinch short for how well it started, but it’s still a huge success. (Interestingly, it finished just 7.3 million hours ahead of the cancelled Ride or Die.) The point, though, which I’ve made before, is that Prime Video still has a problem with how many co-productions it buys, most notably _The Boys_from Sony and Reacher/Jack Ryan from Skydance. It’s not a critical flaw—everyone licenses shows—but Amazon still struggles to make its own hits. Reacher finally fell off the Nielsen charts, so here’s its final rank for season four: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… ...An example of the algorithm NOT picking a film… …whether or not Netflix buys shows simply for the movie poster… ...if East of Eden is above the Obliterated Line... ...what four star-studded straight-to-streaming films didn’t chart... ...and a whole lot more... ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue.
AMD beats Q3 estimates with data center business booming
Patrick Moorhead, Moor Insights & Strategy Founder, CEO, and Chief Analyst, joins Yahoo Finance Breaking Business News Reporter Jake Conley to discuss AMD's (AMD) third quarter earnings beating estimates, with data center revenue nearly doubling to $8.55 billion.
iOS 27.3 Beta Brings Back Apple's Redesigned Health App
iOS 27.3 reintroduces the redesigned Health app previewed in September. Apple tested the new Health app in the iOS 27.2 beta, but it was removed before the update launched. The Health app has been updated, and there are new Insights and Longevity tabs that show more information about your health and fitness metrics. The Insights tab includes your most recent health data, like Activity Rings, heart rate, sleep score, and vitals. Apple Intelligence will use that information to offer Personal Guidance.
Phantom Blade Zero made $223M on Steam and PS5 in five days
Phantom Blade Zero was always going to be a hit. We’ve been banging on about it for months now. Well, the results are in, and Phantom Blade Zero has indeed been a hit. Yesterday, S-Game reported that Phantom Blade Zero has sold 4M copies. As of this morning, our estimates show that Phantom Blade Zero has generated $223M via 4.3M copies sold across Steam (3.1M) and PlayStation (1.2M). This instantly makes Phantom Blade Zero this year’s #10 new 2026 game by premium revenue across Steam, Xbox, and PlayStation – and without an Xbox release to boot. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Combined, China, Taiwan, and Hong Kong account for 55% of Phantom Blade Zero’s copies sold – 56% of copies on Steam and 50% on PlayStation. But revenue is slightly different. Phantom Blade Zero actually made more revenue outside of China However, due to regional pricing, China, Taiwan, and Hong Kong account for a lower share of revenue, 45%. The three countries account for 40% of Phantom Blade Zero’s revenue on PlayStation, and 47% on Steam. This is due to regional pricing, which you can easily check in our platform: Using the $59.99 USD base price as a starting point, we can see that Phantom Blade Zero costs the equivalent of $40.31 in China (-32.8% of the US price) and $41.80 in Hong Kong (-30.3%). So while Chinese culture is at the heart of Phantom Blade Zero (in terms of theme and player base), it’s actually making more money in non-China markets. In fact, markets outside of China, Hong Kong, and Taiwan account for $123M in Phantom Blade Zero revenues via 2M copies. Even when we remove revenues from these markets from the analysis, Phantom Blade Zero remains a top 20 new 2026 title by revenue across Steam, Xbox, and PlayStation. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe In other words, Phantom Blade Zero is a global hit. It’s not all China – or even majority China, when it comes to revenues. The China spring board helped, but a successful State of Play and – more importantly – positive reviews helped this one land in other markets. Quality sells. China was hyped from the start, but Western players needed more convincing As we wrote back in August, China was always going to show up early for Phantom Blade Zero. Our daily Steam revenue data shows just that, and we can see when S-Game’s banging RPG won over players outside of China: On the day Phantom Blade Zero’s Steam pre-order button went live in mid-August, China accounted for nearly 70% of Phantom Blade Zero’s Steam revenue. The shares hovered around 68% throughout August. This is the hometown-hero effect we’ve covered in the past, with the home market committing first – almost sight unseen – on national pride and a lush-looking trailer alone. Then things get even more interesting. Following the State of Play on August 18, US daily revenue more than doubled (from $72K to $146K), China’s daily take nearly quadrupled ($237K to $892K), and the rest of the world’s revenues also more than doubled. As China spiked so much harder than the others, its share of revenue hardly moved, holding at around 68%. So the by-all-counts-awesome State of Play got non-China markets and the West interested (you can see daily spend jump), but it didn’t move the needle for overall revenue shares. Positive reviews were the Western tipping point. US daily revenue went from $106K on October 25 to $230K when the embargo lifted on the 26th, to $463K on the 27th, to $899K on the 28th. So nearly 8.5x more revenue in four days, boosted by the positive reviews and subsequent word of mouth. When Phantom Blade Zero launched on the 29th, things hit critical mass. On launch day, the US and the rest of the world combined out-earned China for the first time in Phantom Blade Zero’s whole pre-order history. You can see this unfolding pretty nicely in the revenue shifting shares, too. China’s lifetime revenue share sat at 68% in August and was still 65% as late as October 25th, but it dropped to 45% by November 2. Over that same period, the US nearly doubled its share from 10% to 18%, and the rest of the world climbed from 25% to 38%. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe That’s not to say that China sold less – far from it. The West and non-China markets just showed up later, won over by the reviews and word of mouth. However you look at it, Phantom Blade Zero has become one of this year’s highest-grossing premium games. Daily volume seems to be decelerating a bit (which is natural), so subscribe below for more updates on performance. Speaking of performance and deceleration… Gran Turismo 7 is one of PlayStation’s biggest earners While games like Ghost of Yotei, Helldivers 2, Astro Bot, Wolverine (2.7M now, by the way), and even Marathon and Saros tend to get all the headlines (we hold our hand up there, too!), there’s one PlayStation game from the past five years that’s earned more than all of these games: and it’s one that’s rarely talked about in enthusiast circles. Gran Turismo 7, which launched in March 2022, has sold 12.7M copies. This amounts to $840M in revenue, second only to Spider-Man 2’s $1.3B – if we’re talking PlayStation first-party for this generation. Gran Turismo 7 still brings in around 3M players every month (and between 400K and 700K active players per day). It’s also an evergreen seller every year. For example, Gran Turismo 7 generated: $189.7M in 2023 via 2.9M copies $161.3M in 2024 via 2.7M copies $119.1M in 2025 via 1.7M copies This year, Gran Turismo 7 has already sold 1.3M copies, generating $74.7M And there’s more laps to come Every December is comfortably GT7’s biggest month of the year (except launch), and the gap is widening there. December generated 2.1x a normal month in 2023, and by 2025 that had grown to 2.8x. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe As the typical months cool off with age, Christmas always holds strong, so the holiday period is becoming a bigger slice of Gran Turismo 7 yearly revenue. For Gran Turismo 7, the week around Christmas does 3x to 5x a typical week – three years running: Christmas week 2023: $14.7M (4.6x the year’s median week) Christmas week 2024: $9.3M (3.3x) Christmas week 2025: $8.5M (4.6x) These Christmas peaks happened at the full $59.99 (Gran Turismo 7 wasn’t discounted at all in December 2023 or December 2025). And although there was a discount late in December 2024, GT7’s peak week that year still happened at full price. You can really see why PlayStation hasn’t added this one to PlayStation Plus, eh? Say it after me: Subscriptions cannibalise premium revenue! On that note… Let’s take a quick look at how Gran Turismo 7 is doing versus its nearest competitor, Xbox console exclusive and long-running sim racer Forza Motorsport (released in 2023 as a reboot for the franchise, about 19 months after GT7). Forza Motorsport has sold around 1.3M copies across Xbox (75.4% for Xbox console and PC) and Steam (24.6%), grossing $89.9M across those platforms. Launch aligned, and on just PlayStation, Gran Turismo 7 had sold 10.2M copies, generating $676.1M, by that point. In other words, Gran Turismo 7 has sold the same number of copies this year as Forza Motorsport has sold since launch. When all is said and done, Gran Turismo 7’s 2026 revenues will have lapped Motorsport’s lifetime, too. It’s worth noting that Forza Motorsport was not released on last-gen consoles, and under a quarter of Gran Turismo 7’s revenue has come from PS4 consoles. Critically, Forza Motorsport is also on Game Pass, where nearly 7M players have accessed it. Meanwhile, the Forza Horizon series has been performing incredibly in terms of revenue. This year’s Forza Horizon 6 has generated $583.7M across Xbox and Steam despite Game Pass cannibalisation, and last year’s Forza Horizon 5 PlayStation port has generated $383.5M on PS5 alone. So two questions, then: How well is Forza Horizon 6 going to do when it launches on PS5 in January? Hit subscribe to get that in your inbox in January (which is in two months somehow!?) Subscribe 2. Open-world arcade Gran Turismo when? Also, if you like arcade racers, go and play Star Wars Galactic Racer. It rules. Like GOTY material, seriously. The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Snowflake expands agentic AI platform with business context and governance tools
Snowflake expands agentic AI platform with business context and governance tools - SiliconANGLE
Live Q&A on Wednesday: Andrew Marchand on Aikman-Buck tension, ESPN personalities and more
Andrew will take your questions on Wednesday at 11 a.m. ET, and share insights on the personalities shaping how we watch sports.
These 20 local projects are 2026 Excellence in Construction winners
Photos and insights into the 20 winners of North Bay Business Journal’s 2026 Excellence in Construction Awards celebrating new healthcare and education facilities, housing, hospitality, office and transportation improvement projects.
Meet the Notable Leaders in Communications for 2026
These leaders are experts in their fields, helping clients and customers with their insights into marketing, public relations and fundraising.
Real-World Weight Journeys: Exploring Health Experiences to Improve Care
(Feature Impact) A number on a scale tells only part of the story. Living well is also about having energy, feeling your best and enjoying a good quality of life. Yet each person’s path is different, and lifestyle changes, medicines and other approaches to managing weight can affect health in different ways. TNCMS.AdManager.render({region: 'fixed-big-ad-top-asset', slot: 1, fold: "above"}); No two weight-management journeys look the same. Some people are taking their first steps toward healthier habits. Others are balancing health conditions, caring for family members, coping with stress or exploring new treatment options. Along the way, they may find support that helps them succeed or encounter obstacles that make progress more difficult.These stories provide valuable insights into what it takes to improve health in everyday life.That’s the idea behind the American Heart Association’s Healthy Living BEYOND Weight Study. By learning directly from adults across the country, researchers aim to better understand the challenges, motivations and factors that shape weight and health outcomes over time. The goal is to generate insights that can help improve support, inform care and empower more people to live healthier lives.What Factors Influence WeightNearly 1 in 3 U.S. adults are overweight and 2 in 5 are obese, according to the National Institutes of Health. Weight is shaped by many factors, including:Genetics and hormonesAccess to healthy food, safe places to exercise and healthcareChronic stress and mental healthMedications and metabolismCommunity conditions, as where you live can influence your ability to live a healthy lifeHow Joining a Study Can Make a Difference Led by the American Heart Association, the Healthy Living BEYOND Weight Study is open to U.S. adults with a BMI of 25 or higher, including those who have tried lifestyle changes, weight-management medicines or weight-loss surgery. By sharing information about their health and daily lives, participants can help researchers better understand how to improve care.Interest in newer weight-loss medicines, such as GLP-1s, has grown rapidly. While these treatments are helping many people, researchers are still learning about their long-term effects and how they fit into everyday life. People who currently use or previously used a GLP-1 may be eligible to participate and help generate insights that could improve care for others.Reasons to Join This StudyBy joining this study, participants can help researchers better understand the long-term impact of treatments, identify what helps people succeed and uncover the challenges they face along the way. The information they share can help fill important gaps in research, shape better and more compassionate care and guide future health recommendations.According to the Pew Research Center, 31% of U.S. adults report they’re online “almost constantly.” The study is conducted entirely online, making participation convenient and easy. It can be completed from home on a schedule that works best for each participant.Consider these reasons to participate:Your story matters. By participating, you may help build knowledge that can improve care, guide health recommendations and help people live healthier lives.It’s easy. The study is conducted entirely online, making it simple to join and stay involved at your own pace.It’s safe and respectful. All data is collected with your informed consent, protected by privacy safeguards and handled according to rigorous ethical and scientific standards.You won’t be alone. Millions of people are navigating weight and health challenges. By sharing your journey, you can help researchers better understand what works, what support is needed and how to shape better and more compassionate care for others.Learn more and consider signing up at Heart.org/GoBeyond.Photo courtesy of Shutterstock
Here is how CNN’s Sightline real-time election insights tool works
The new election tool designed to surface insights from CNN’s Decision Desk, can translate results into an understandable, real-time read on what’s happening.
From Business Emails to XLoader: An Order Lure That Led to In-Memory Injection
Get expert insights into technology trends, the cybersecurity landscape and new and emerging threats.
Midterm elections: Political analyst breaks down key races to watch
With voters heading to the polls this Tuesday, Rider University political professor Micah Rasmussen joins FOX 5 NY's Sharon Crowley to analyze the critical midterm matchups. Rasmussen shares insights on the New York governor's race, early voting and more.
New York’s Laws on Voting Leave and Political Speech: Key Workplace Laws
With midterm elections scheduled for November 3, 2026, and early voting already underway in New York, employers may be facing an uptick in questions regarding voting leave or incidents involving political speech. This article outlines state and federal laws concerning employees’ paid time off to vote and political speech in the workplace.
SebastianStrong Foundation Discovery Science Award 2027 - Oncology News, Insights, Stories by OncoDaily
The SebastianStrong Foundation Discovery Science Award 2027 supports research developing more targeted, less toxic treatments for childhood cancers. The
Contract Projections for top Rays free agents
Former General Manger Jim Bowden’s annual free agency column at the Athletic offers the keenest insights into contract projections out there. Usually this exercise is something skippable for Rays fans, as the likelihood the team will be spending top dollar is fairly low, but there’s an unusually high number of Rays-related free agents on the […]
NYC Marathon boosts sales for IndiCo Coffee and local spots
IndiCo Coffee Co. thrives during NYC Marathon using Mastercard's insights to adapt and grow amidst marathon day crowds.
3 Ways ProgenyHealth Can Transform Maternity and Infant Health, Claims Management
Pregnancy and NICU admissions are among the most complex areas in healthcare. A new report from ProgenyHealth highlights how the company can work with Medicaid and commercial health plans to uncover insights and hidden risks critical to improving maternal and infant care and reducing costs.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
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Animals Starves while the Kardashians Miss the Charts Again
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get going, I’d like to offer congratulations to Jonathan Funke, whose suggestion “midflicks” won the poll for what I should call straight-to-streaming films which aren’t big or cinematic enough to go to theaters but seem too expensive for a TV movie. It’s so useful a term, I just used it last week! Now I just need to add this term to my data dictionary! Okay, on to this week’s issue. We’re starting out looking at Netflix/Ben Affleck’s latest crime thriller, Animals. I’ll also look at Disclosure Day heading to Peacock (it did better than you’d remember in theaters...) and a new movie based on toys. Plus, a long-time streaming flop returns for its eighth season...will it finally chart? (No.) Will anyone at Disney care? Probably not. All that, plus another look at new shows landing on streaming on 1-Oct from Reelgood, what streamer hasn’t had a film make the Luminate charts since August, Reacher’s long run on the charts, M_onster: The Lizzie Borden Story’s_ short run, the top shows in 2026 according to Samba TV, all the flops, bombs and misses, and a whole lot more. And I mean that last part: putting this week’s issue together, I assembled OVER 25 images, most of which are bespoke looks I made just for this report. Really, publishing articles like this takes the work of writing two articles: one is the narrative and the other is making charts/graphs. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the week of October 5th to October 11th, 2026. You can find a link to my terminology here.) Subscribe Film - Netflix’s Latest Star-Studded Thriller Goes For Glory The tempting angle for anyone writing about streaming film this month, like yours truly, is to ask, “Is this why Dan Lin lost his job at Netflix?” Take Animals, the Ben Affleck-starring-and-directing, Artists Equity-produced crime thriller that opened on 9-Oct. (Kerry Washington and Gillian Anderson are also in it.) If it did really well, then one could argue that Lin has another success on his resume. If it underperformed, then it’s another example of a Netflix underperformance this year. So where did Animals fall? Kinda in the middle, but that means it’s more “not a hit” than “big hit”. On Nielsen, it opened to 12.0 million hours, and here’s how that stacks up for 2026 films so far this year: Obviously, that’s not great. It’s both under my 15 million opening bar for “fine” for a Netflix film and 20 million bar for “great” opening. It did a bit better on Samba TV, getting to first place. That’s very, very good, though again, looking at the Nielsen data, it probably means that it was a light week overall. Luminate’s data is a bit closer to Samba TV’s, tied for 17th all time for single weeks since May of 2024: To top it off, no one seemed to like it. It has a 33 on Metacritic and only a 5.7 on IMDb. Both of these numbers could have been impacted by the stories about Affleck’s comments about using AI to make the film. Given the controversy, the film might not have been as bad as the ratings suggest, but it’s also not a bullish sign. All to say…yeah, on net this film isn’t a point in Dan Lin’s favor. At this point, Netflix’s slide has been long enough—going on since February—that I’m almost tempted to lower the bar for what a “hit” is on streaming. Post-February of 2026 or so, it seems like straight-to-streaming films just haven’t hit the same heights as they did from 2022 to 2025. Before we head onto the “Quick Hits” for film, I want to shout out a fellow newsletter whose articles I’ve been loving this year, LA Material, a new LA-based news outlet. For just a highlight of my favorite articles since July... I loved this article on Ghost Town, a group on Venice that clears homeless encampments. As a Los Angeleno, obviously I adore their articles on LA parking issues. Their article on illegal parking tickets got the City Council to address the issue! Also check out their article on people parking in medians. Check out their deep dive on what went wrong with the LA Jazz Festival and how it fell apart, or what’s wrong with USC’s finances. Finally, they wrote up a voter guide on voter guides for the LA General Election. So meta! In search of a city? L.A. Material is an independent news outlet covering the people, politics, culture and glorious chaos shaping Los Angeles. L.A. Material brings you intel on the city you can’t get anywhere else. From exploring how Reddit short stories became Hollywood’s hottest commodity to reporting on the survival jobs keeping entertainment workers afloat. And answering, once and for all, why the AMC Burbank escalator is always broken. Through their newsletters, podcast, videos, events, and member community, L.A. Material is designed to help Angelenos connect to Los Angeles and each other. Sign up now for the free weekday newsletter. Quick Notes on Film Steven Spielberg’s latest film, Disclosure Day, came to Peacock on 9-Oct, and I’ll admit that, after pulling its stats, I did a pinch of a double take. As I wrote throughout my deep, deep, deep dive on summer box office/Obsession/Backrooms/IP/superheroes, oftentimes the film media discusses films as “flops” or “misses” or “hits” without clarifying what they specifically mean. Since Disclosure Day didn’t make $250 million in the US or $500 million globally, it was definitely a disappointment by Spielbergian standards, who is the highest-grossing director of all time, and arguably even more ahead in adjusted grosses. But it did make $245 million globally on a $115 million budget, so it isn’t as big of a miss as I remember. That’s still probably not enough to break even in the theatrical window, when you factor in marketing costs…but it’s close. And it grossed a lot more even in the US than some titles with about ten times more coverage. Anyways, lots of preamble to say this one only did 4.5 million hours according to Nielsen, so it did make the charts, but on the low end. Here’s how it stacks up to other Peacock titles: Apple TV (née +) followed up their “success for them” Mayday with Matchbox The Movie. This one doesn’t look like a success even for them, but at least it’s not a miss. Apple/Skydance clearly tried to take advantage of the success of Barbie at the box office—let’s greenlight all the toy properties!!!—but of course, this didn’t make it to theaters. And it stars John Cena, who, as I argued earlier this summer, NEEDS to get his movies back in theaters. Anyways, this one has mixed-to-bad numbers. It missed the Samba TV and Nielsen charts in its first week, but did make Luminate with 7.1 million hours. That’s just enough to not be an outright miss, and about half what Mayday did earlier this summer. Speaking of Apple Studio’s Mayday, it ended up lasting five weeks on Luminate, which isn’t bad for Apple TV. On Nielsen, it had a three-week run, racking up 13.5 million hours total. Again, like Matchbox, the issue is the budget; I doubt that this viewership earned enough to justify that budget. Also, to be clear, neither of these films are “midflicks”; both should have gone to theaters. Toy Story 5 is not hanging around on the streaming charts on Disney+, so it’s not as leggy as either Zootopia 2 or Moana 2, and definitely not in the same class as Encanto. (It did make all the money at the box office, so Disney is going to be fine…) The Breadwinner on Netflix (from Sony) is down to 3.9 million hours in its third week. It only lasted for one week on the Samba TV charts. Netflix’s Doing Life had a smaller-than-normal binge release curve bounce, only going to 7.1 million hours from 6.0 to start, but it made Samba TV at fifth place in its second week. The Netflix documentary, The Widower: Til’ Death Do Us Part, also had a small binge release curve bounce to 6.5 million hours, but did make a second week on Samba TV. Meanwhile, Netflix’s Unabomber fell off after two weeks on Nielsen—which is not great at all—and Demon Slayer fell off after just one week. Over on Luminate, the two smaller titles The Swan: Behind the Mirror and Kill. Bury. Print both fell out of the Luminate top ten charts. The story of library film at the first of the month is the arrival of the Ice Age films on Netflix. Now, here’s a small example of optimizing your library that even Netflix could do better. Say you want to rent/license a new film series from Disney**.** A streamer could pay a big paycheck and then drop each Ice Age film on the exact same day of the month, the fourth of October. That’s one choice. In contrast, the streamer could have released each film one week apart, and make each one a mini-event for folks watching Ice Age films. Or even roll them out monthly. Netflix opted for the former strategy, and as a result, only three of the films made the Nielsen charts this week. The “Miss of the Week” goes to Tubi’s YA-ish horror film_, R.L. Stine’s Pumpkinhead 2_, which didn’t even make the Luminate charts like Tubi films usually do, or, should I say, “used to”? Tubi films, most of which are straight-to-streaming, used to reliably make the Luminate film charts (which only covers straight-to-streaming films), but a Tubi film hasn’t made it since August. The first Pumpkinhead got 1.4 million hours last year according to Luminate. As I wrote about this film before, it seems to be a bit muddled in terms of age: too scary for young kids but probably not scary enough for older kids. Speaking of Luminate, Netflix’s latest doc about a comic (expect more docs about comedians all month), Who Is Martin Mull?, flopped, getting just 200K and 700K hours according to Luminate. Three other film/special misses belonged to Hulu, including a standup special, Jamie Foxx: Take Care of Yourself, Neon’s latest horror film, Hokum, which made $17 million in the US, and a Family Guy Halloween special. (That last one was only 22 minutes, so it’s not a surprise it missed.) Finally, another Netflix standup special missed the charts, Mojo Brookzz: I Know You Lying missed too. I can confirm last week’s misses, most notably Paramount+’s Jackass: Best and Last, MUBI’s Teenage Sex and Death at Camp Miasma and HBO Max’s Evil Dead Burn. Television - I Can’t Visualize Nothing: The Kardashians Story Normally, in the mini-dive essays that open the Streaming Ratings Report, I focus on shows that do well or, at the very least, make the charts. Why? Because as I’ve said time and again, I can’t visualize nothing like, say, the Kardashians’ TV shows. Here’s the TV debuts chart for this week with a missing spot for The Kardashians, whose eighth season just landed on Hulu:
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The One Chart That Explains Why Netflix Cleaned House
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Yeah, I’ll be honest: I went with a clickbait-y headline today. One chart? That explains everything? That’s as clickbait-y as it gets. But let’s be real. I’m analyzing a dataset that I’ve built over six years, and c’mon, I never write articles which feature just one chart! If you think this article—which includes a level of data detail unheard of in journalism twenty years ago—is clickbait, fine by me. Really, what I’m doing is using data to explain Netflix’s recent strategy changes, since the story of the month is the turbulence at Netflix. First, head of content Bela Bajaria was fired. Then head of film Dan Lin followed her to the unemployment ranks. (Along with, sadly, 1,000 other Netflix workers.) And then Netflix delivered a “sub-optimal” earnings report, which continued their year-long stock price slide. Then came a flood of articles explaining why all this is happening. (Mine’s coming shortly, rest assured.) I realized I had the perfect chart to explain Netflix’s woes. Specifically, Nielsen’s weekly top ten charts. Usually I focus on one or two weeks in my Streaming Ratings Reports, but sometimes it’s worth stepping back to look at the larger story. And hoo boy, what a story. This article is my annual (plus three months) follow-up to one of my most popular articles of last year. (And a topic I’ve been visualizing for the last half decade.) Subscribe Netflix’s Share of The Nielsen Charts Continues to Decline
How well have past GOTY winners sold?
We’re less than two months away from 2026’s The Game Awards, and what a year it’s been for fantastic games, including Resident Evil Requiem, Forza Horizon 6, Slay the Spire II, the Blood of Dawnwalker, and Control Resonant – just to name a few. So as we approach the end of the year, we thought we’d look back on our estimates for the GOTY winners of the past four years. In terms of revenue, Elden Ring (2022 winner), Baldur’s Gate 3 (2023), Astro Bot (2024), and Expedition 33 (2025) have generated a combined $3.8B via 73M copies sold: Let’s have a look, then. Elden Ring has generated $2B in revenue Elden Ring is a phenomenon in every sense. It’s sold a whopping 36.4M copies across Steam (50%), PS5 (35%), and Xbox (15% across console and PC). Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring also just passed an astronomical milestone: $2B in revenue. While PlayStation and Xbox account for half of Elden Ring’s copies sold across these three platforms, they account for 57.5% of revenue. This – as ever – is due to regional pricing and the higher relative share of PC gamers in lower-priced markets. For example, around 17.4% of Elden Ring’s Steam copies sold were in China, where the game costs about 26% less than the price in the States. There’s an … interesting narrative going around these days that console gamers are only interested in ball-and-gun games and have the patience for little else. Well, Elden Ring’s impressive sales prove that is simply not true, and across all platforms. What’s more, over 9.8M people have played Elden Ring for over 100 hours, with nearly 3.5M people getting all of the achievements and trophies. For reference, 10.9% of Elden Ring’s PlayStation players have the platinum trophy, while 10.5% of players on Steam and 3.9% of Xbox players unlocked all the achievements. Git gud, Xbox players! Of the 1.5M people who played Elden Ring on PlayStation last month, 4% also played Dark Souls 3 last month, 4% played Bloodborne, and 3% played Sekiro. There’s those Soulsborne diehards for you. By many accounts, including my own, Elden Ring is one of the best games of all time. It’s an evergreen seller that will continue to be a cash cow for Bandai and FromSoftware for years to come. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring has sold another 2M copies across Steam, PlayStation, and Xbox this year, generating almost $110M. This means it’s outperforming many of this year’s high-profile releases. Even Elden Ring’s standalone run-based PvE spinoff, 2025’s Nightreign, has sold 7.8M copies and generated $282M in revenue. Baldur’s Gate 3 is another billion-dollar-plus banger Another cross-platform phenomenon is Baldur’s Gate 3, which has sold 23.2M copies and generated over $1.2B in revenue. About 18.7M of these copies (80.6%) are via Steam, 2.9M via PS5 (12.7%), and 1.6M (6.8%) via Xbox. Around 1.3M folks on Steam bought BG3 before it hit 1.0. The PlayStation version launched about a month after the PC 1.0 release, while the Xbox version came four months later due to technical issues around developing local co-op on the Series S. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Across platforms, Baldur’s Gate 3’s monthly active users have never dropped below 2M, including 2.2M MAUs last month (68.5% on Steam, 21.9% on PS5, and 9.6% on Xbox). And it still regularly brings in 280K to 400K players every day: About 1% of BG3’s Steam player base has played for over 500 hours! That’s a little under 200K people. Astro Bot is also an evergreen seller, albeit a more niche, family one Astro Bot, 2024’s winner, has now sold 4.7M copies and generated $291M in revenue. The budget, including marketing, is almost certainly under $100M, given the small Japan-based core team and three-year dev timeline. You can really see why the tides are changing toward less expensive hubs. Astro Bot is the only first-party winner on this list, but follows other first-party winners of The Last of Us Part II (2020’s winner), God of War (2018), and Breath of the Wild (2017). Around 46.6% of Astro Bot’s copies sold have been physical, which is far higher than the typical game. This makes sense for a couple of reasons: There’s a large family audience for this one, and physical boxes are an item to wrap when giving Astro as a gift. Astro has collector value for the PlayStation core (this is nostalgia-fueled platformer celebrating PlayStation’s history) Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Astro is another one of those games that continues selling over time, regularly selling more than 100K a month. It’s sold around 1M more copies this year ($60M in revenue) and is a popular title with families. We can see this using the Alinea platform’s MAU crossover tool: Astro Bot’s top #2, #3, and #4 games by crossover in any given month this year are Minecraft, Fortnite, and Roblox – without fail. The #1 title every month, though, is Astro’s Playroom, a pack-in with all PS5 consoles. For every month this year, between 20% and 30% of Astro Bot players also played Astro’s Playroom that month. So the free pack-in is a noice funnel for converting players to a full paid product. Expedition 33 sells 8.7M despite Game Pass cannibalisation Finally, we have last year’s winner – Expedition 33. The turn-based-RPG banger has generated $366M via 8.7M copies sold, with 58.8% on Steam, 35.7% on PS5, and 5.5% on Xbox. Xbox’s share of copies sold is this low due to Expedition 33 launching on Game Pass, where 4.3M people across console and PC accessed the game. A little under 700K Xbox players used their subscription to play Expedition 33 this year. That said, the game’s 1.5-year Game Pass deal ended last week on October 16, and we’re already beginning to see a positive trend on Expedition 33’s copies sold via Xbox (but the jury’s still out!). There’s understandably a lot of French pride behind this one, as France is the game’s #3 market on both Steam and PlayStation. Vive la France! One thing that stood out to me is that the GOTY winners aren’t $300M Hollywood productions made in the US. They’re mostly mid-budget studios outside the traditional AAA cost centres. Lots to think about there. Also, good games sell well; who’d have thunk it!? And there’s a whole load of them this year, with GTA 6 still to come, too. GTA just made the cutoff point for the VGAs this year. What a coincidence! Loading... Cool links and other stuff Our physical games newsletter from Tuesday was picked up by GameSpot, Eurogamer, TweakTown, and a bunch of others. We’re offering a free trial of our platform for games companies. Send us a message here, or reply right here on Substack/email, and we’ll set you up. Next week, we’ve got some exciting news regarding the future of our newsletter, so stay tuned! The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. Want to see why these companies (and many others) are subscribed to Alinea? Get a free platform trial! [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Tom Alvarez celebrates 14 years of ‘On the Aisle’ entertainment picks on ‘Life.Style.Live!’
Celebrate 14 years of Tom Alvarez and his entertainment insights for Indianapolis viewers on WISH-TV.
Leaker reveals larger iPhone Duo details, possible Telephoto camera
Today on Mark Gurman’s Power On podcast, the prolific leaker offered fresh insights into several features in the works for...
BTA Sports Expands into Prediction Markets With AI-Powered Analytics
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10X Health Launches Metabolism Genetic Test
A saliva-based test provides genetic insights to help inform personalized nutrition and weight-management plansSCOTTSDALE, Ariz., Oct. 21, 2026 (GLOBE NEWSWIRE) -- 10X Health, a leader in personalized health optimization and performance-driven wellness solutions, today announced the launch of its Metabolism Genetic Test. For individuals looking to optimize their wellness routines, 10X Health’s Metabolism Genetic Test gets at the root of why and how your body responds to food, exercise and appeti
QED Science launches Insights Feed to filter research papers
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Toy Story 5, Backrooms and The Breadwinner Vie to Become the Second Biggest Film This Year...
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Often, people blame “data” for ruining Hollywood, when I’d argue that hype (which can often be debunked by data) is often worse, as you can see in these two headlines. To use a common meme, here’s how it started: and how it’s going: Earlier this year, I read countless (and I mean countless) articles (in almost every mainstream media outlet) about how Heated Rivalry was a huge hit and that it “heated” interest in hockey. But Heated Rivalry wasn’t a huge viewership hit compared to the hype: [ ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) [ You Can’t Eat Buzz…Did Heated Rivalry’s Buzz Translate into Actual Viewership? ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) Entertainment Strategy Guy · Jan 22 [ Read full story ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) In this case, the hype (Heated Rivalry is really popular) belied the data (It didn’t make the top ten charts, meaning it wasn’t a huge hit.1) Even worse, every time I write about this, I get a lot of negative feedback, hence why I only sparingly mention the show these days or add lots of caveats when I write about it, but this just further cements the hype. But companies, and the executives leading them, have to determine strategy based on reality, not media coverage. The NHL committed real marketing dollars to a campaign that didn’t work. Sure enough, the latest NHL season opened to under a million viewers. At some point, you have to focus on what the data says, because real dollars are at stake. And that’s why we have the Streaming Ratings Report! To provide and analyze cold, hard data. Luckily, this week, I can be positive and take a look at a huge opening on streaming, along with a very buzzy horror film that customers kind of like, but don’t really love. And a comedy that tried to rebound on streaming. Today, I’m covering two weeks—21-Sep and 28-Sep—so we have a lot to discuss (nearly 5,000 words worth), including a series of film misses for Netflix, another argument for weekly-released TV shows on streaming, another sitcom tries to avoid the comedy curse, Netflix has two new game shows (one powered by AI), Reacher falling off the charts after a huge run, Prime Video tries its hands at the romcom game**,** a look at the WNBA’s big season, a big night for the VMAs on CBS and MTV, all the flops, bombs and misses, and a whole lot more. (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of September 14th to October 4th, 2026. You can find a link to my terminology here.) Subscribe Film - Two Hits and a Miss Come to Streaming… Three very interesting films came to streaming in one week, and I like comparing them since they show the range of theatrical films. One was a huge blockbuster, one was popular, and one was neither. One is a horror film, a buzzy genre; one is a comedy, a struggling genre; and one is an animated family film, the king of the box office. One went to a tiny streamer (HBO Max), one went to a second-tier streamer (Disney+), and one went to the biggest (Netflix). So… If you just went by box office, you’d expect Backrooms—the $197 million grosser, and partner of Obsession for “YouTube Horror Summer”—to dominate on streaming. If you read this report, though, you know that horror films don’t do great on streaming, and that’s the case again. Backrooms opened at 3.8 million hours according to Nielsen, and had 3.9 million hours in its second week. Here’s how that stacks up to other HBO Max films: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… ...why I don’t buy Backrooms budget… …two new games shows arrive on streaming… …another sitcom struggles… ...another argument for putting out shows weekly on Netflix... ...and a whole lot more, nearly 5,000 words more... ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, I’ll be taking a look at the eighth season of Hulu’s The Kardashians, answering the question: will this show ever make the charts? If Mormon wives can make it, surely one of social media’s most popular families can as well. Also, Prime Video has a new horror show based on popular IP, Carrie, Netflix has a horror show starring Josh Hartnett, Below, and Apple TV has a UK import, Small Prophets. Plus a bunch of movies like Disclosure Day heading to Peacock, The Housemaid coming to HBO Max, Ben Affleck’s latest on Apple TV, Animals, and Matchbox the Movie on Apple TV, a John Cena action comedy inspired by Hasbro’s toy cars. The week after is even busier! I’ll look at another IP-based horror show, Crystal Lake, a new MCU show on Disney+, VisionQuest, season two of The Lowdown on FX/Hulu, the fourth seasons of The Diplomat on Netflix and Tulsa King on Paramount+, another season of Love is Blind, and four straight-to-streaming films: Netflix’s Sacrifice (starring Chris Evens, Anya-Taylor-Joy, Vincent Cassel, John Malkovich, Salma Hayek. Charlie XCX), Apple TV’s Tenzing (starring Tom Hiddleston and Willem Defoe), Prime Video’s Love of Your Life (Margaret Qualley) and Masterplan (Stanley Tucci) and a whole lot more, somehow. Long term, here’s some huge IP news: a Game of Thrones movie is coming to theaters, Game of Thrones: Aegon’s Conquest in 2029, while Jon Watts (who helmed three of the most recent Spider-Man movies) is directing the next Star Wars trilogy, to be written by Simon Kinberg. I’m cautiously optimistic for both. It feels obvious to say that making good movies matters, but for bets this big (Star Wars is on a swoon, Game of Thrones hasn’t been to theaters yet), the quality has to be there.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
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Streaming’s Biggest Show Returns…and a Buzzy Genre Struggles
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Obviously, the big news of the week (if not month) is Netflix letting go of executive Bela Bajaria, their chief content officer. I’m going to cover this in my next “Most Important Story of the Week”, but I also have a data angle that I might publish before then. (Too much news this month, am I right?) But first, I have a bonus Streaming Ratings Report issue for you. Today’s article is a bit of a grab bag of topics I’ve wanted to write about, but couldn’t squeeze into the (already very long) Streaming Ratings Report issues. The NFL drives huge viewership numbers, so I’ve got a look at that. A whole bunch of TV shows returned to the traditional broadcast channels, and I have thoughts. And I have a quick look at adult animated shows, since a couple flopped earlier this month. Plus, the Emmys aired earlier this month, and we got some fun data bout how popular those nominated shows are and why I’m not optimistic about the show’s future. That’s a lot, so let’s dive right in. Subscribe Sports - Football Remains the King of Streaming Over the last two Streaming Ratings Reports, I sorta ignored the biggest “show” each week. (I was tempted to say “piece of content” but I know that word bugs folks.) In my database, I call these “specials”, and they sure are special. I speak of the king of American TV: football!!! Streaming football is back and, unlike some other sports, it routinely dominates all viewership. Probably the best way to show this is to update one of my favorite graphics, the “40 Million Hour Club”1 since football games have joined that club each week they’ve premiered: (Yep, that’s the data through 28-Sep, the first four weeks of the season. As a reminder, I take the average minute audience provided by Nielsen, factor out a percentage of linear TV viewers in home markets, and multiply the run time by the three-hour runtime.) Again, the numbers are huge. Let’s start with Netflix. They grabbed the rights to the bonus opening week NFL Kickoff game (which was on YouTube last year) and it put up 18.5 million viewers on average. That nets out to 47.4 million hours of estimated streaming hours. That’s good! Though, notably, it’s well below Christmas Day games from previous years. Compared to other streamers/broadcasters, that’s a bit of a mixed result. On one hand, Netflix’s 18.5 million average is about what YouTube claimed last year, though Nielsen used a bespoke methodology at that time, so I trust this viewership figure more. So that’s good. (The game also shifted from a Friday to a Thursday and that could have helped the viewership as well.) And Netflix continues to best Prime Video in total viewership—as you’ll see next—though Netflix has had much higher-profile (opening week and Christmas Day) games. NBC/Peacock’s opening game the night before averaged 25.1 million average viewers, which is just much bigger than Netflix (or Prime Video). That’s the big caveat to all streaming viewership records: even in success, they can’t compete with traditional linear TV. Previously, I called this my “hierarchy of viewership”, and the data keeps supporting that thesis. The downside for NBC is that this game’s viewership was down compared to previous years, though it may be a counting issue. Here’s a great chart from Sports Media Watch: Indeed, looking at all the opening week games across all windows, Netflix still lags the other primetime windows, but does well compared to the afternoon games: I saw a few folks make the case that streamers still lag traditional broadcasters in reach, and I’d add they really lag compared to “broadcast plus streaming” options like NBC/Peacock, ESPN/Disney+ and CBS/Paramount+. The best data I saw for this came from Samba TV, who charted reach through the 2025 season, and, wow. (Samba TV’s numbers are historically lower than Nielsen’s, so don’t compare their household figures to Nielsen’s hours, but use them as a proxy for the relative reach of the streamers.) The good news is Prime Video is NOT having a down year. Their opening Thursday Night Football game reached 18.6 million viewers (about what Netflix got), but that’s a high for Prime Video on Thursdays and the biggest Thursday night game since 2015. The TNF games the weeks of 21-Sep and 28-Sep continued this streak, getting 43.1 (16.8 million average viewers) and 42.5 total hours (16.6 million average viewers), which were both up from last year. Still, that continues the (typical) season slide: (For those new-to-streaming-football-numbers folks, the viewership declines for Thursday Night Football as the year goes along.) Overall, it appears as if Prime Video is now part of the “football habit”, be it for customers at home or out at places like bars and restaurants. And its viewership is slowly catching up to broadcast. One last chart shows this. Last season, Nielsen started adding out-of-home viewership to the charts, so I try not to do season-to-season comparisons as I did for the first few years. And while Nielsen added Big Data viewing this year, I’m going to compare the last two seasons. Here’s that chart, which shows the season-over-season gains: When it comes to streaming football, we have to keep a few seemingly contradictory thoughts in our head… First, streaming doesn’t come close to matching broadcast’s reach and, thus, viewership. Second, even with that gap, football is still the biggest “thing” on streaming. It’s very, very popular. Third, while some methodology changes have likely helped Prime Video’s numbers, their viewership does appear to be growing. Lastly, yeah, the NFL started the season off poorly, with week one dragging down the numbers in year-over-year comparisons. However—and again, methodology changes may have helped this—the viewership grew compared to previous seasons over the next couple of weeks. So football is still king. On streaming and off. Television - Adult Animation Continues to NOT Make the Streaming Charts In the last two reports, two adult-animated shows whiffed: Netflix’s animated comedy, Dang! Paramount+’s Sega-video-game-inspired fantasy/comedy, Golden Axe. Neither made the charts, but that’s usually the case for animated shows. I mean, here’s literally every animated show that’s made the Nielsen Original charts since the start of 2025: And one of those shows is G_abby’s Dollhouse_! A kids show! The problem with charts like this is that they don’t give you a sense of how many shows miss the charts. Netflix had at least eleven animated flops, including comedies like Big Mouth (a show everyone assumed was popular in the pre-Streaming Ratings Era), Long Story Short, Haunted Hotel, Mating Season, Strip Law, and Alley Cats, and action shows like Blood of Zeus, Castlevania: Nocturne, Devil May Cry, Splinter Cell: Deathwatch, and Tomb Raider: The Legend of Lara Croft. Prime Video had at least six animated misses, two in the same universe (Hazbin Hotel, Helluva Boss), three more comedies (#1 Happy Family USA, The Second Best Hospital in the Galaxy and Kevin) and an action show (The Mighty Nein). Disney+ had MCU and Star Wars animated misses (Eyes of Wakanda, Marvel Zombies, Star Wars: Visions, Star Wars: Maul – Shadow Lord, and Star Wars: Tales of the Underworld) but I can’t tell how many of those shows were geared towards adults. HBO Max had Harley Quinn and Hulu had Solar Opposites. None of these shows made the charts! That’s a lot of misses! If I remade the chart with all those misses, here’s how it would look: Listen, I know the counter arguments. First, it’s cheaper to produce animated shows than live action. Fair enough, but with viewership this low, even that cheaper price point starts to not matter. Second, just look at the acquired charts. Hit animated comedies can generate viewership for years! Shows like The Simpsons, South Park, Family Guy, and Bob’s Burgers do really, really well. Fair enough, but streaming has failed to recreate the dynamic that Fox has mastered so well. That’s a problem for streaming still. Television - Emmys! The annual Emmys broadcast was a few weeks ago, and I’ve got data on how the nominees performed on streaming, plus hot takes on this year’s viewership (and the big news about the broadcast’s, er, streamcast’s future). We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… The top Emmy-nominated shows… ...why I’m worried about the future of the Emmys telecast... ...the pros of broadcast television ...and the cons... ...please subscribe! We can only keep doing this great work with your support. Coming Soon! Next week, we’ve got a double issue (since the weeks of 21-Sep and 28-Sep were so light), but then I’ll be all caught up after a deluge of streaming ratings data from Nielsen in September. In the meantime, I’m going to try to take a look at Netflix’s stats to explain why Bela Bajaria is out. But even light weeks give me plenty to talk about. The Great British Baking Show returns to Netflix and Apple TV has a buzzy new star-studded comedy. And Netflix has a controversial-but-appears-to-be-popular new game show. Plus big films like Toy Story 5, Backrooms and The Breadwinner head to streaming. And is East of Eden a hit? After that, The Kardashians return to Hulu, Prime Video has a reboot of Carrie, and Netflix has a horror show, Below. Disclosure Day heads to Peacock, The Housemaid heads to HBO Max_,_ a new Ben Affleck film, Animals, lands on Netflix, and Apple TV has a new John Cena action film based on, checks notes, Hasbro’s Matchbox toys. Okay. Longterm, some interesting TV production news. HBO Max ordered How to Survive Without Me, starring Kaley Cuoco, Joshua Jackson, Ray Romano and Rita Wilson, for fifteen episodes! I love that some streamers (or, at least, HBO Max) are finally ordering TV shows with more than eight episodes. In less wise production news, Landman does not appear to be coming back this year, since it just started production. Frankly, I don’t love this (get your shows out on time) but Landman is so popular, I doubt it matters.
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IP Saves the Day On Streaming
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get started, I wanted to highlight a new idea I saw from Real Good AI, proposing a ratings system for AI use. (H/T to Anthony Kaufman’s article highlighting this.) It would look something like this: In general, I think that this is a solid, middle-ground solution that should appease both the pro-AI camp (who love AI) and the anti-AI camp (who wants to know if what they’re watching didn’t come from humans). Regardless of your feelings on AI/LLMs—I’ll never use it for my writing—transparency is often the best solution to many problems. In general, I think way more media outlets need to be using way more AI disclosures. My quick “Yes and...” to this idea: what about ads? In particular, I hate it when I see or hear ads that are obviously AI-generated, but a person or voice says, “I used this product”. AI doesn’t use products! Just today, I watched a YouTube ad where a “person” said they use some sort of rain wind chime...but that’s not a real person! They didn’t use this product. (Especially since the video of the wind chime itself also appeared to be AI-generated...) I believe most traditional advertising already has standards like this anyway.1 Okay, on to this week’s issue. We’re covering the week of 14-Sep, and then next issue, I’ll be fully caught up with Nielsen’s new release schedule. In the future, I plan to put out Streaming Ratings Reports each Monday after Nielsen’s Thursday releases. Overall, we had some big new shows this week, like Prime Video’s Reacher spinoff_, Neagley_, which is off to a big, big start, and Netflix’s latest in its Monster anthology, which is their largest opening since June and the second-largest since One Piece came out in March. All that, plus Slow Horses returns, the trio of returning shows (Lioness, Reacher and Ted Lasso) continue to dominate the top tens, Paramount+’s latest crime drama, a big whiff for a Netflix original film and a precipitous drop for Netflix film charts, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of September 14th to September 20th 2026. You can find a link to my terminology here.) Subscribe Television - IP For the TV Win Can I use the dirty word of entertainment journalism right now? IP. Shhh. Don’t tell anyone I said it. But IP works at the box office, and we’ve seen some evidence it works in TV too. Not as well, and not all the time—no absolutes here!—but often enough. And glancing at the Nielsen top ten…it worked this week! Take Prime Video, who has a monster hit in the crime drama Reacher. Would a spinoff work for that show? Yep! They binge-released Neagley, about a detective from the original Reacher series, and its eight episodes debuted to 29.6 million hours. Here’s how it stacks up to Reacher, one of Prime Video’s biggest shows: That’s great. Nearly as strong as Reacher’s opening! (Both shows started with eight, binge-released episodes, so this comparison is apples-to-apples.) Notably, Prime Video scheduled the debut of Neagley to overlap with Reacher’s most recent season, to help drive tune-in. Obviously, I love smart release strategies like that. And even though I wrote “obviously”, it’s not really that obvious, since streamers don’t often take advantage of natural overlaps like this_._2 Other data backs how well Neagley performed. It opened at second place on Samba TV for two weeks and got 51.7 million hours on Luminate. That’s the eleventh biggest opening on Luminate since May of 2024 and tied with Bridgerton’s third season opening. That’s a huge opening! Its IMDb is solid too, a 7.7 on 24K reviews. Netflix’s latest edition in the “Monster” series—which started with Jeffrey Dahmer and comes from Ryan Murphy—did well too, opening to 24.7 million hours. That’s the biggest opening for Netflix since I Will Find You in June, and second biggest since March. Unlike the Reacher series, this franchise is trending downward, though. The first Monster show—Dahmer - Monster—was giant. More than anything, I think this reflects that Netflix running out of extremely popular—if that’s the right word?—serial killers to feature. Still, the data says this is a very good opening. It made it to third place on Samba TV for two weeks. It also opened to 40.0 million hours on Luminate. That’s not quite as elite as Neagley, but still very, very strong. I’ll be honest: my priors coming into any given week are that IP works to help drive buzz for new shows, but TV shows need to stand on their own even more than movies, so they will succeed or fail based on their quality. But these two spinoffs definitely worked. Quick Notes on TV The top show, film or special this week? Football, again. Specifically, Prime Video’s season opener of Thursday Night Football. The games run long (three hours) but mainly a lot of people watch each game. That adds up to a lot of viewership. Paramount released the second season of MobLand on an unusual day for that service, a Friday! Often, they put their new shows out on a Sunday, as they did last year with a run of shows (Lioness, Tulsa King and Landman). MobLand didn’t make Nielsen in its first week, but on Samba TV it got to eighth and seventh place. Luminate had a smaller opening too, only 5.3 million hours. MobLand missed the Nielsen charts for its first eight weeks, so this season is off to a stronger start. (Bonus note: the first season streams on both Prime Video and The Roku Channel, but I only have it as Paramount+ on those charts.) I’ve mentioned a few times that foreign-language originals do lower numbers than English-language originals on Netflix most of the time. But I don’t usually emphasize what country those originals come from, and observationally, they tend to be from Western or Northern European countries, in general. So credit to Not a Stranger, a Turkish Netflix original, for breaking through on Luminate, getting to 7.9 million hours in its first full week on those charts. As I mentioned last issue, Crew Girl ended up making the Nielsen charts in its second week. That’s still a soft performance compared to many shows, but again this, one looks affordable. And if you’re curious, here’s how it stacks up to some other sports romance shows: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… …about a new data source and how it drives streaming viewership… ...what reality show is struggling in its latest season…. ...what Netflix film bombed…. ...How Reacher, Ted Lasso, and Lioness are doing on the charts… ...what obscure sport put up great viewership numbers… …how far streaming films are falling… …all the flops, bombs and misses for the last week… …and more… ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, we’ve got a double issue, then we’ll be all caught up with Nielsen’s data. Yes! The goal is to have my report out on the Monday after I get Nielsen’s data. So next issue, I’m looking at East of Eden, The Great British Baking Show, a Willy Wonka game show (that people are upset uses AI, but viewers might not care), and a Cosby show spinoff reboot on Netflix, and Brothers on Apple TV (starring Woody Harrelson and Matthew McConaughey). That’s about it for TV, but who’s going to win the streaming week, The Breadwinner or Backrooms on streaming? Answer: Toy Story 5. Plus Netflix has a Unabomber film and a new Tyler Perry film, Teenage Sex and Death at Camp Miasma tries to repeat The Substance’s run on MUBI, and Paramount+ has Jackass: Best and Last. Long term, Netflix is remaking Lonesome Dove. I love this choice, but man, there are a lot of westerns on TV right now. And they’re making Sega TV shows, including a Crazy Taxi TV show and Sonic show with an “edge”.
Your Business Probably Has More Data Than Insight by Nathan Tayloe
Most businesses know more about themselves than they ever have. Leaders have access to financial reports, sales pipelines, customer data, employee metrics, website analytics, and dashboards for almost every part of the organization. CRMs track every stage of the sales process. Marketing platforms report results in real time. AI can analyze and summarize enormous amounts of information in seconds. Yet I've sat in plenty of meetings where all of that information is available, and some of the most important questions are still surprisingly difficult to answer. What's actually working? Why are customers choosing us? Where are we losing opportunities? What should we do differently? Having the data and understanding what it means are two very different things. More Information Doesn't Always Create More Clarity Over the past decade, businesses have invested heavily in visibility, and that's a good thing. We can understand performance with a level of detail that would have been unimaginable not long ago. But there's an unintended consequence. The easier something becomes to measure, the easier it is to assume it must be important. Website traffic goes up, so that looks positive. Leads increase, so marketing appears to be working. Sales activity climbs, so the pipeline looks healthy. Maybe. The numbers tell us what happened. Understanding why it happened, whether it matters, and what we should do next still requires judgment. Not Everything That Matters Fits on a Dashboard Consider a customer who ultimately contacts your company through Google. The data may attribute that lead to search. What it may not show is that the customer heard about you from a colleague six months earlier, saw your company mentioned in an industry publication, followed one of your employees on LinkedIn, and read several reviews before finally searching for your company. Google may have produced the click. It didn't necessarily create the decision. This happens throughout a business. Some of the things that matter most are difficult to reduce to a single metric: Why your best customers stay Why talented employees choose your company Why a prospect trusts one provider over another Why one service is gaining momentum while another isn't Why the market perceives your business the way it does Data can help answer those questions, but it needs context. Better Decisions Start With Better Questions One of the easiest traps for leaders is starting with the information in front of them rather than the decision they're trying to make. Instead of opening a dashboard and asking, "What does the data show?" it can be more useful to start with a different set of questions: What are we trying to understand? What decision are we trying to make? What would we need to know to make that decision confidently? That changes the role of data. Instead of looking at every number available and searching for meaning, you're using information to understand something specific about the business. Information Still Requires Judgment More sophisticated analytics and AI will continue to give leaders access to better information, faster. That's valuable, but I don't think it reduces the importance of experience and judgment. If anything, it increases it. Someone still has to decide which numbers deserve attention, which patterns matter, what context might be missing, and when the data isn't telling the whole story. The goal isn't to know more about your business simply because you can. It's to understand your business well enough to make better decisions. Good data can tell you what happened. Good leadership has to decide what it means. — Learn more about how we help organizations turn business, customer, and marketing insights into smarter strategies at tayloegray.com, or reach out directly at nathan@tayloegray.com.
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QED Science Launches Insights Feed to Help Researchers Find Science Worth Their Attention
AI-powered feed delivers personalized recommendations across scientific papers, preprints and conference abstractsTEL AVIV, Israel, Oct. 14, 2026 (GLOBE NEWSWIRE) -- QED Science, a science validity engine and modern infrastructure for researchers, funders, institutions and life science organizations, today launched Insights Feed, a personalized research discovery tool that helps life-science researchers identify the literature most relevant to their work. Updated daily, Insights Feed recommends
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AI-powered feed delivers personalized recommendations across scientific papers, preprints and conference abstracts...
*POSTPONED* Behind the Science with Paleontologist and Curator of Dinosauria Dr. Matthew Carrano
***Due to speaker illness, this event has been postponed. A new date will be announced in two weeks. If you registered for this program, please check your email for more information. We apologize for the inconvenience.*** Is the 21st Century the real Age of Dinosaurs? Today, more paleontologists are discovering more dinosaur fossils from more places in the world than ever before. Our understanding of these amazing creatures has leapt forward while their popularity has surged. Museums sit at the junction of these phenomena. The Smithsonian has been a center for dinosaur research for more than a century, and its collections include many iconic and scientifically important specimens. Today, Smithsonian researchers continue to discover new dinosaurs, but they are also uncovering more information about the ones we already know and love. New techniques and approaches allow them to investigate aspects of dinosaur biology, ecology, and evolution in ways that would have been inconceivable to early paleontologists. The result is an ever-improving understanding of dinosaurs as living, breathing, and thriving animals. This month, go behind the science with paleontologist Dr. Matthew Carrano, Curator of Dinosauria at the National Museum of Natural History as he discusses new discoveries at home and abroad, in the field and in the museum. Registration is encouraged. Space is filled on a first come first served basis. ---------------- About the Series: Behind the Science A monthly after-hours series featuring NMNH scientists and researchers Each month, join the National Museum of Natural History for the new series, Behind the Science, where NMNH researchers share insights into their latest discoveries and explore the fascinating questions driving their work—from the origins of life to the future of our planet. Come learn what’s happening behind the scenes and how science shapes our understanding of the natural world. Programs take place in Q?rius, the Coralyn W. Whitney Science Education Center. Topics and speakers announced on a rolling basis, but save the dates now!
2027 Workforce, Benefits, and Business Strategy Trends
Explore three workplace trends shaping 2027 and why employers are rethinking workforce, benefits, and business strategy.
egnite's Call for Science Study on M-TEER Device Durability and Long-Term Patient Outcomes to be Featured at TCT 2026
egnite, Inc., a cardiovascular intelligence company that helps clinicians identify and manage patients with untreated heart disease, today announced that Dr. John T. Saxon, Director of the Advanced Cardiac Valve Center at University of Virginia (UVA) Health, has been selected as the winner of its inaugural Call for Science grant program. His study, Long-Term Durability After Successful M-TEER: Insights from a Large, Real-World Imaging Database, will be presented as Featured Clinical Research at
Life Science Tools Market Forecast to 2035: Growth Accelerates on Genomics and Biomanufacturing Demand
The global life science tools market is forecast to expand through 2035, supported by rising genomics research, biomanufacturing scale-up, and lab automation adoption.
On Warhammer TV This Week – Author Insights and Big Battles
New episodes of Scribes and Scriveners and Battle Report are on the way.
DNA of World’s Oldest Tortoise, 194, Reveals Surprising Discovery, According to Scientists Studying Aging
A new look at the genes of Jonathan, who is considered to be the world’s oldest known land animal, reveals interesting insights about longevity
AltFee Wins Clio’s 2026 Integration Award for Best Business of Law App
Canadian legal technology company recognized for helping law firms bring greater consistency, confidence, and data-driven insights to legal pricing. VANCOUVER, BC – October 9, 2026 – AltFee Sol...
Google unveils new Fitbit Edge tracker as tech giant expands health monitoring ambitions
Google on Monday its debuted its second Fitbit tracker of the year, the Fitbit Edge, which sits between the screenless health tracker Fitbit Air and the more advanced Pixel Watch. | The new device also builds on Google’s health tracking ambitions by combining advanced health sensors with AI-powered insights designed to identify changes in a user’s health and translate those signals into personalized guidance.
Google Health: Evolving so you can focus on living better
What’s new from Google Health: Explore the new Fitbit Edge, expanded workout tracking, and dedicated women's health insights.
Coravin Symposium gives sommeliers the business advice they need
Business events in the wine industry are thin on the ground, so when Coravin announced it was to host a day dedicated to providing commercial insights and support for sommeliers the expectations were high. Thankfully those hopes were well and truly met at a highly successful inaugural event held at London’s Savoy Hotel last week. The Buyer’s Richard Siddle was there to not only analyse what was said, but helped chair the opening session on how data is now central to how wine lists are being pulled together - which was typical of the commercially focused issues covered during this much needed and well received day. Here he shares his key takeaways from what will hopefully become an annual fixture in any leading sommelier’s diary.
Growth for Montana Global Health is an easy pill to swallow
It all begins when a client comes forward with an idea for a product. The company sources all of the raw materials, which are tested, then measured and mixed. From there, the product starts to take shape — powders are put into capsules, and drinks are bottled.
Business Insights
How sound judgement and strong relationships help Senior Managing Director, Capital Markets – Private Wealth, Ingrid Filmer lead strategic business growth, be a trusted advisor to clients, and make her mark in the private wealth sector.
Beyond Ideological Blocs: The ICDPP’s New Intercontinental Political Dialogue
Insights from an Interview with Chung Eui-yong on the Origins, Principles, and Future of the ICDPP
Anime News, Top Stories & In-Depth Anime Insights
Stay on top of anime news and updates straight out of Japan with Crunchyroll News. From breaking stories to evergreen content, get all your anime and manga news updates in one place. You heard it here first!
Netflix’s Summer of Bummer
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) Today, I’ve got a guest post from longtime friend of the newsletter, Brandon Katz. I’ve been trying to find time all summer to look at Netflix’s straight-to-streaming film slate, but between a pre-planned trip and Nielsen moving up their streaming data timeline, I’ve been swamped. So I reached out to Brandon, one of my favorite fellow analysts, to write about it. And I feel like he captured the tone and data focus of the newsletter perfectly. You can connect with Brandon on LinkedIn and Twitter. Enjoy! Don’t worry, folks. You’re in safe hands with me. To ease any anxieties about an interloper in ESG’s domain, I’ll start by stealing one of his best framing devices: headlines. Box office flops are covered in the same way the Teenage Mutant Ninja Turtles eye pizza: with cartoonish insatiability. I would know. I’m a former reporter who wrote nearly identical headlines: Yet, intentionally or not, streaming misses get treated with kids gloves, filtered through a rosy lens: In the last six years, U.S. streaming viewership has become nearly as transparent as the box office, but the data often arrives weeks later, in a number of less intuitive metrics, and with nary an official budget to be found. This plays into the Wall Street-whispering narratives major streamers have been cultivating for years. They get a pass in a way that theatrical studios simply don’t. Subscribe Netflix’s Summer Slate Not a single Netflix original film released between May and August this year opened above 20 million U.S. TV hours, per Nielsen. That benchmark usually serves as the EntStrategyGuy’s floor for a streaming hit on Netflix. None of these films enjoyed a hit-cementing single week of 20-plus million hours during their runs. Netflix’s two best films were true crime docs, Maternal Instinct (16.5 million hours) and The Crash (19.7 million), the best overall week for a film this summer. Great for most other streamers, but not necessarily what we’re used to seeing from Netflix. For an overly-dramatic comparison, Happy Gilmore 2 opened last summer to around 47 million hours (celebrity cameos, baby!). Zooming out, the picture looks even worse. In 2026, Netflix’s five biggest scripted summer films posted the lowest average (28.6 million hours) and median (28.8 million hours) eight-week viewership totals of the past four years. Now, it’s unrealistic and unfair to expect Netflix to deliver a _KPop Demon Hunters-_sized hit every year. But it’s also not ideal to see the size of their hits shrinking over the last few summers. Let’s quickly run through some of the notable summer misses. Jennifer Lopez and Brett Goldstein’s perfectly fine romcom, Office Romance, fell off the charts after 20 million hours in its first two weeks. Top films usually last for four-plus weeks. Starry titles ideally don’t decay that fast either. Homegrown star Millie Bobby Brown couldn’t prevent the snappy Enola Holmes franchise from diminishing returns. At 14.3 million U.S. hours, the third film posted roughly half of what the first two films did in their first two weeks. What’s on Netflix calculated that per-day global views were down nearly 60% from the second movie. The Whisper Man did okay with more than 36 million hours over its first four weeks. But I expected a little more juice from a film featuring Robert De Niro, Michelle Monaghan, and Adam Scott. Kevin Hart’s Ladies First collected just 11.2 million hours total across two weeks. That’s a big miss for one of Netflix’s go-to stars. Plopping into the same bucket are Sunny Sandler’s Don’t Say Good Luck (10.3 million in two weeks) and John Cena’s Little Brother (17.5 million). Meanwhile, English-language originals Color Book (June 19), In the Hand of Dante (June 24) and Heartstopper Forever (July 17) never sniffed Nielsen’s Top 10 at all, despite needing only 2 to 5 million hours to land in the top ten most weeks. (By my count, eleven English-language scripted original films released between May and August did chart). It’s only fair to mention that Swapped (1-May) posted nearly 42 million U.S. hours over five weeks (the longest Netflix original run this summer) and is currently their eighth most-watched English-language film ever worldwide. Remarkably Bright Creatures (37 million, 4 weeks) and Voicemails for Isabelle (27 million, 4 weeks) weren’t bombs either. Still, overall, I think it’s fair to say this was a quieter summer season than we’re used to seeing from the market-leader. You might not realize that given the language commonly used in public analysis. The Twist Despite the starkly black-and-white tone of the coverage, here’s the twist: when many box office bombs arrive on streaming, their viewership looks a whole lot like many of Netflix’s supposedly successful summer releases. Hmm, where have we heard that one before? Masters of the Universe topped out at $65 million stateside against a $170 million budget_._ I’ll admit, Skeletor ripping sleeveless curls as a gym bro and bodyslamming Adam’s co-workers was funny. But, much to the chagrin of my bank account, my laughter doesn’t launch franchises. Yet the He-Man reboot opened to 19.6 million hours (from a Wednesday five-day opening instead of just one weekend), on par with Hoppers on Disney+ (19.4 million). It put up nearly 47 million hours over its first six weeks, bigger than all of Netflix’s summer releases. Pretty darn healthy and likely to land among the 25 most-watched movies on streaming this year. Sticking with Amazon, The Sheep Detectives just barely broke even at the box office with $133 million worldwide (and only $66 million domestic). I never expected cloven-hooved, cud-chewing mammals to be able to bring me to tears. Yet that’s exactly how I found myself at the end of this surprisingly affecting movie (#NoShame). It was likely the unexpected quality in a family-friendly film that powered its streaming over-performance. Sheep Detectives delivered a solid run for Prime video netting 26.2 million hours! How about franchise IP? Star Wars: The Mandalorian & Grogu had the lowest opening ($81 million) and lowest-grossing Disney-era live-action Star Wars film ($178 million domestic). One day before release, its Heat score (19.8%)—audiences who list their interest as a 7/7—fell behind blockbusters Wicked (21%), Superman (23%), Fantastic Four: First Steps (23%), Michael (23%), Toy Story 5 (26%) and Avatar: Fire and Ash (27%), according to Greenlight Analytics. The urgent enthusiasm just wasn’t there. On streaming, Mando opened to weeks of 12.1 million, 6.1 million and 2.7 million hours (21 million total) over its first three frames. Not the numbers Lucasfilm was hoping for nor the numbers of a streaming hit. But they’re in the same vicinity as some Netflix summer releases with $345 million at the global box office to offset a smidgen of the pain. Final Thoughts So why oh why does this nuance gap exist? Four key reasons: Data Literacy: A “$100 million opening” just makes sense. After decades of box office reporting, even casual movie fans are well-versed in the benchmarks of hits and home runs. There’s an immediate shorthand. But “16.5 million” hours doesn’t land nearly as cleanly. Despite leaps of progress, the streaming ratings era is still in its infancy compared to theatrical. The EntStrategyGuy and I met thanks to a late 2010s group chat of data nerds hungry to find a shred of certainty in nebulous streaming performance. I’m not surprised to see “No. 1 on Netflix” still getting misconstrued out in the wild. Timing: By Friday morning, we have the box office’s Thursday night previews totaled, allowing us to better project the weekend’s expectations. From there, ticket sales are reported daily. By Sunday, the film’s fate is usually finalized, at least in terms of public perception. In streaming, Nielsen recently improved its delay to…two weeks. The medium isn’t forced to contend with instant gratification as harshly. Financials: Theatrical film budgets are a mere Google away. Profit and loss is calculated in the cold and unforgiving naked light of day for all to see. But finding the vast majority of streaming exclusive movie budgets requires the forensic investigation skills of a Criminal Minds detective. Also, it’s very difficult to calculate how much revenue/value a straight-to-streaming films provides a streamer. This is why there are so few stories about streaming original movies “losing X amount of money”. On top of that, marketing budgets are far greater for theatrical movies than streaming exclusive movies, which leads to earlier and better awareness. This then translates to a wider pool of potential interest. Narrative Control: Netflix is the only major streaming service to publish weekly first-hand viewership data and annual engagement reports. Naturally, some headlines borrow their first-hand framing**.** Other streamers benefit from their comparative lack of transparency. They may occasionally announce vague performance platitudes such as Apple TV’s Mayday becoming its “biggest film debut on the platform to date over its first 18 days,” and that it ranked No. 1 with left-handed viewers in its first weekend. (Fine, I made up that second one). But, for the most part, they keep first-hand viewership shrouded in mystery to avoid bad press. Especially for outlets that demand multiple articles per day from their writers, it’s an easy (and understandable) way for some reporters to hit their daily article quota by just repeating what the streamers have told them. TL:DR version: Streaming-exclusive movies are asked to do different things than theatrical movies, but that doesn’t mean they should escape judgment. Both still need to draw enough eyeballs to justify their cost within the proper performance contexts. The more cleanly we can inject a little nuance into streaming analysis, the better we’ll understand the audience and content trends that drive this industry. And that’s what all of this is really about: knowing what audiences actually want! Brandon Katz is the Director of Insights & Content Strategy at Greenlight Analytics where he focuses on evaluating the ever-fluid media landscape to unearth understanding, opportunity and value. Greenlight Analytics is the entertainment intelligence consulting company redefining how Hollywood finds, understands, and activates audiences. Prior to joining Greenlight Analytics, he served as the senior entertainment industry strategist at Parrot Analytics, and as a full-time entertainment industry reporter covering the Xs and Os of Hollywood, most notably with TheWrap and the Observer.
2026 CGT Report: From Science to Patient Access
Explore findings from the 2026 Cell and Gene Therapy Report on oncology adoption, emerging specialties, reimbursement and AI-enabled patient access.
Gears of War: E-Day sells 230K copies
Gears of War: E-Day has sold 230K copies since its advance-access launch on October 1 and full release on October 6. Steam accounts for 168K of those, with Xbox (console and PC) selling 62K. But there’s more to this story, as Xbox makes up the bulk of revenue. E-Day is the best-reviewed Gears game in nearly two decades (and the best one ever made, in my opinion). The Coalition has made a banger here (it’s currently in my top 10 of the year). Despite E-Day’s undeniable quality, this is a soft result. And it’s down to the business model, really. E-Day has made $37M so far, thanks to the Premium upgrade On Xbox, Game Pass is cannibalising much of the premium revenue. Our estimates show that 1.7M folks accessed E-Day via their subscription rather than a copy. But Xbox is having it both ways – or having it halfway, at least – via its Premium Edition Game Pass upgrade. Game Pass subscribers could pay $30 (or their local equivalent) for up to five days of early access starting October 1. Our estimates show that of the 1.7M who accessed E-Day through Game Pass, 722K paid for the upgrade. Between the review embargo lifting on October 1 and the full release, E-Day managed to shift another 250K early-access upgrades – no doubt helped by the campaign’s rave reviews. So despite selling far fewer copies on Steam, Xbox accounts for almost three-quarters of the revenue (roughly $26M of the $37M, versus about $11M on Steam). So “230K copies” undersells the paying audience. Including the 722K upgrades, nearly 950K people actually paid something for E-Day. The $30 upgrade is a halfstep from cannibalisation, but will Xbox go all the way? While E-Day is a sublime game, these are soft numbers for a flagship when Xbox badly needs revenue wins. E-Day sold 62K copies on Xbox against 722K Premium upgrades, so for every one copy sold on Xbox, nearly 12 Game Pass upgrades were sold. The $70 premium SKU is – functionally – dead on Xbox. Normally you can’t see what a Game Pass player would have paid, because the game’s just there in the subscription. But the $30 early-access upgrade estimate shows that 722K people demonstrated they’ll spend real money on this game. In a world without day-one Game Pass, many of these folks would have bought E-Day at $70. They paid $30 for five days early access to something they don’t own. Xbox is, in effect, charging its most valuable customers the least, based on a hangover from a tried-and-exhausted strategy from a previous administration. Those 722K willing-to-pay players generated about $21.7M via the upgrade. If three quarters of this group – mostly US and European audiences – bought E-Day outright, that’s nearly $40M. Of course, Game Pass does bring in meaningful recurring revenue, and E-Day is adding value for hundreds of thousands of subscribers. However, Game Pass is no longer growing, so Xbox is at a crossroads. Xbox is reportedly looking to do a Netflix and bolt on an ad-supported tier to pad it further. But that will just set a new floor, and leadership keeps telling us the priority now is revenue growth, which is subscriber-speak for ARPU. Xbox has already pulled Call of Duty from day-one Game Pass after day-one inclusion hammered its sales, with new CoD titles now arriving on the service around a year late. We know that some Microsoft executives believe the service devalues games outright, and rumours (which Microsoft has dismissed so far, to be fair) suggest that day-one releases could be taken off Game Pass. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe When a game this well-reviewed does this softly on its home platform, the model – not the game – gets brought into question. What else E-Day’s early adopters have played (including this month so far) Looking at E-Day‘s players on Xbox, most have played the franchise before (86% have played Gears 5, 76% Gears 4), and every game on the crossover list is either a shooter or a title from an Xbox-owned studio (though Game Pass is inflating those numbers, of course, more on that later): As for what else Xbox’s E-Day players have played this month, the top three are Fortnite (16%), Roblox (7%), and Call of Duty (6%). Another 5% played Minecraft Dungeons II, which is also on Game Pass and launched a couple of days before Gears‘ advance-access date. Many Game Pass players are happy to check out most big new additions. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Over on Steam, the top crossover games are also mostly shooters (slightly more PC-coded ones), including Space Marine 2, which was itself heavily inspired by Gears: Looking at what E-Day‘s Steam players are into this month shows who they are – as subscriptions don’t skew the data. The top three are Wardogs (13%), Deadlock (12%), and CS2 (10%), so you’ve got the restless shooter crowd checking out the new hotness. A little further down are Helldivers 2 and Space Marine 2, your co-op PVE shooter players who’ll feel right at home in Horde mode. Game Pass is skewing the playtime distribution on Xbox Looking at the playtime distribution in our platform, E-Day players on Steam are – relatively speaking – playing for longer: 54% of E-Day players on Xbox have played for five hours or less (versus 32% on Steam) 19% of Xbox players played for over 15 hours (versus 33% on Steam) 14% of Xbox players played for over 20 hours (22% on Steam) The absolute number of people playing for over 15, 20, and 50 hours is, of course, bigger on Xbox, thanks to the sheer volume of folks who came in through Game Pass (upgraders included). None of that is cause for alarm. Game Pass is the reason Xbox playtime skews lower, as when a game is free to try, people try it and bounce without putting in even an hour (17% under an hour on Xbox versus 6% on Steam). Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe The subscription brings in tourists alongside the committed, dragging down the average even when the game is excellent (but also perhaps winning over the uninitiated). It’s standard across every subscription-included title, on PS Plus too. Forza Horizon 6, for instance, had 11% of its Xbox players bounce under an hour, versus just 2% on Steam. So, Xbox’s crossroads So there we have it. Gears of War: E-Day is an incredible game whose revenues have been stifled by subscription inclusion and exclusivity. It’s the best-reviewed entry in the series in fifteen-odd years, but it still turned into one of the year’s softer flagship launches, not because players didn’t want it, but because Xbox’s own storefront gave its most willing buyers a reason not to pay. Which leaves Xbox at a crossroads. Will it keep making Gears games when the financial returns are this thin and the margins this low? And if it does, does the next one arrive off Game Pass at day one – the way CoD now does, or even on PlayStation? I think it should. Alright, back to E-Day for me! The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Regional business leaders share their advice for new team members
This month, we asked: How is artificial intelligence changing the way your organization operates and where do you see the biggest opportunities?
Business interruption claims
Companies are increasingly at risk from surging business interruption losses due to concentrated production, fragile supply chains, geopolitical tensions, inflation, and growing technology dependencies.
IQVIA Launches IQVIA Life Science Models to Help Life Sciences Companies Predict Clinical Trial Outcomes
RESEARCH TRIANGLE PARK, N.C.--(BUSINESS WIRE)--IQVIA (NYSE:IQV), a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries, today at TechIQ 2026 introduced IQVIA Life Science ModelsTM to help predict clinica
IQVIA Launches IQVIA Life Science Models to Help Life Sciences Companies Predict Clinical Trial Outcomes
RESEARCH TRIANGLE PARK, N.C., October 07, 2026--IQVIA (NYSE:IQV), a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries, today at TechIQ 2026 introduced IQVIA Life Science ModelsTM to help predict clinical trial outcomes.
Science on Target: Q3 Research We Conduct
The Target ALS Global Natural History Study (GNHS) is entering a new phase of discovery. As the only international, longitudinal study generating deeply characterized clinical, genomic, and biofluid data to accelerate ALS biomarker discovery and therapeutic development, the GNHS is now beginning to deliver large scale datasets and resources needed to support new insights into […]
KFF Midterms Data Presentation: What Do Voters Think About Health Care Now?
Join KFF for a virtual event at Noon ET on Wednesday, October 14, featuring KFF public opinion and survey experts who will provide analysis and insights on the latest findings from recent public opinion surveys about health care issues in advance of the midterms, including current public sentiment about Medicare-for-All and how it compares historically. After the presentation, experts will take questions from attendees.
Is Your Managed Service Provider Supporting Growth? 5 Signs It’s Time to Upgrade
See how to evaluate whether your managed service provider is still the right fit. Learn 5 warning signs an MSP may no longer support growth.
Transforming a fossil fuel firm into a clean energy leader
Energy companies Ørsted and Moeve offer their insights on how to transform fossil fuel-based businesses around opportunities offered by the clean economy.
Teladoc Health unveils new AI capabilities within Solo platform for hospitals
Teladoc Health announced Wednesday the launch of two new artificial intelligence capabilities within its enterprise smart care platform Solo. | The two new tools aim to help health systems surface timely patient insights into their care environments while reducing technology fragmentation, executives say.
Market Logic's DeepSights MCP scales market insights reach and business impact through enterprise-wide AI workflows
/PRNewswire/ -- Market Logic Software, the company behind DeepSights. the leading AI market intelligence platform, today announced the general availability of...
Riverside has a donkey dilemma. Can science offer clues for coexistence?
Researchers at UC Riverside are studying the Inland Empire's wild donkey herd in hopes of gaining insights that can improve coexistence between humans and burros.
Stripe to Power Small Business Underwriting With FedEx Supply Chain Data
FedEx Dataworks, the insights and intelligence subsidiary of FedEx Corp., and Stripe plan to leverage their respective platforms to expand access to
SI Now Hosts Regional Leadership Breakfast to Boost Southern Illinois Business Growth
SI Now hosted its second Leadership Breakfast, bringing over 100 Southern Illinois leaders together to network, share insights, and drive economic growth.