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Republican Senate candidate Bert Mizusawa talks energy, immigration, AI, Trump at UVA Center for Politics
With less than two weeks until Virginians hit the polls for midterm elections, Republican U.S. Senate candidate Bert Mizusawa took center stage at the University of Virginia’s Center for Politics Thursday evening for his “Evening with Maj. Gen. Bert Mizusawa” event.
NFL Canada Partnership Could Be A Game Changer For Penn Entertainment Stock (PENN)
PENN Entertainment recently saw its theScore Bet unit secure a multiyear role as an official NFL partner for sports betting and online casino in Canada, alongside an analyst upgrade that reflected these business developments. The Canadian NFL tie-up gives PENN Entertainment another channel to push its digital betting brand into a live sports audience, which could affect user acquisition costs and long term engagement across its broader entertainment ecosystem. We will now look at how PENN...
Researchers have uncovered a likely origin of our allergies
While bacteria and viruses set off immediate alarm in our immune system, allergies follow a different path.
Job-Based Health Plan Costs Rise, With Little Relief in Sight
Employers saw their healthcare premiums rise 5% this year — and some passed on that burden to workers — as the cost of family coverage in job-based insurance exceeds $28,000 for family plans.
I’ve Been Estranged From My Mother for Years. One Screenshot From a Total Stranger Changed Everything.
I'm not one to keep tabs on my mother. But once I saw the stranger's message, I immediately started scrolling.
Americans 75 and older are wealthiest age group, Fed survey finds
Bolstered by steady gains in the stock market, families headed by someone aged 75 or older are now America’s wealthiest, while the youngest families saw their wealth decline in the
Data or privacy? Businesses can have both, MIT Sloan research finds
Data regulation doesn’t necessarily cause economic harm. Markets — and consumers — can still derive economic benefits from data collection when it’s tempered by reasonable privacy guardrails.
Commentary: Healthcare is broken, and it's time for leaders in New Hampshire and the nation to act
Standing outside the New Hampshire State House on Tuesday morning, surrounded by Granite Staters gathered for Protect Our Care’s “Sick of It! Fix Health Care Now” bus tour rally, I spoke about what I saw when I was president of the Manchester NAACP with respect to our broken healthcare system.
PIN IT: SpaceX launch makes ‘space jellyfish’ effect in sky. Here’s the science behind it
If you looked up early Tuesday morning in Central Florida and saw what appeared to be a glowing jellyfish floating in the sky, you were not alone.
‘You are more’: Former Mountain Home student leads mental health initiative
When Ava Johnson saw how an injury kept her sister from playing sports, she wanted to raise awareness for her entire town.
SpaceX deal to expand its Starlink network sends telecom stocks tumbling
Telecom giants saw shares tumble on news that Elon Musk's company reached a deal that would allow it to expand its reach in the US market.
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”.
Fastest-Ever 'Mind Reading' AI Model Can Reconstruct Images From Your Brain
See what the person saw - and what the AI recreated from their brain activity.
2026 Bowl Projections After Week Seven
Hello everyone, and welcome back to our weekly picks of who's in the playoffs and all the bowl games. This past week was circled on calendars since the schedules were revealed, with several top-25 matchups. However, it's doubtful anyone could have predicted what we saw, where five of the top seven teams in the AP …
Man accused in chainsaw killings ordered into emergency mental health treatment, court documents say
Court records show the order was filed Friday, October 16. It says 47-year-old Thomas Steele’s mental condition has “deteriorated” since a judge first ordered a competency evaluation Tuesday, October 13.
Gen X ‘poster child’ Molly Ringwald confesses what she ‘didn’t like’ about the ’80s
Molly Ringwald revealed the one thing that she skipped out on during the 1980s, the decade which saw her star in films like ‘The Breakfast Club,’ ‘Pretty in Pink, and ‘Sixteen Candles.’
‘Standing on Business,’ ‘Squabble on Day 1’ — NBA World Reacts As LeBron James Snaps Back at Knicks Heckler in 76ers Debut
The new NBA season saw LeBron James stealing some of the New York Knicks’ thunder during their championship ring and banner-raising ceremony. James played a solid all-around game to help the Philadelphia 76ers’ newly stacked team secure an impressive opening-night win at Madison Square Garden against a subdued, sloppy Knicks team that still looked hungover from celebrating their championship.
Andy Burnham’s Labour Allows the Left to Breathe, a Little
The first Labour conference under new leader Andy Burnham saw a rhetorical turn away from his predecessor’s austerian and managerial approach. Burnham has regained trade unions’ confidence, but his re...
Tyreek Hill receives warning about going back to Kansas City
The Kansas City Chiefs saw wide receivers Tyquan Thornton and Rashee Ric go down in Sunday’s win over the Las Vegas Aces, leading to heavy speculation that former franchise superstar Tyreek Hill, who is working his way back from a knee injury, could be a prime candidate to replace Thornton and Hill’s production as he…
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.
Scientists Found Two Birds as Loud as Chainsaws. Here’s How They Make So Much Noise.
Researchers measured the calls of 123 bird species in Brazil. Two reached volumes comparable to chainsaws and louder than elephants.
Seahawks' Jaxon Smith-Njigba falls in latest CBS Sports MVP rankings
Seahawks star Jaxon Smith-Njigba had a quieter performance in Week 4 that saw him slide in CBS Sports’ latest ranking of the NFL’s top MVP candidates.
Who Won August and September: Original Films or Franchises?
(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.) I just heard someone say that if you’re reading a pundit or data analyst, and they don’t tell you that they got anything wrong, they’re not a pundit but an “influencer”. I agree with that. You have to tell your audience when you get things wrong, or they won’t (or shouldn’t) trust you as much. Today, we’ve got another edition of “What I Got Right, What I Got Wrong”. In general, I’m patting myself on the back (and patting very hard) about a few things like IP at the box office, LIV golf, horror films, crowdfunding movies, superheroes, and old people going to the theaters. That said, I also made a couple of data mistakes on the streaming bubble popping and HBO’s datecdotes, so I’m not perfect. But first, I need your feedback... Subscribe Follow-Ups: What Should We Call Mid-Budget Movies Which Aren’t Cinematic Enough for Theaters But Are Too Expensive to Make Money on Streaming? After I asked for feedback on what we should call straight-to-streaming films that are too big to pencil out on streaming but not really big enough to resonate in theaters, I got some great suggestions from you all, including... “Moldilocks” from John Aboud “Little Big Indie” from Travis Frick1 “Midflicks” from Jonathan Funke. “Extra-Medium” from Jona Nwuke. (Read the explanation in the footnote.) Between these and Brandon Katz—who suggested “Bermuda Budget Triangle”, “The Platform Gap” and “The Distribution Deadzone”—we’ve got some excellent suggestions. And they’re better than my suggestion, the “Streaming Budget Dead Zone”, so let’s take a poll! The winning entry becomes the new term. Loading... RIGHT: LIV Golf is Fully Bankrupt…Is Anyone Else Next? A few years ago, I was always a bit perplexed at all the articles I’d read praising LIV Golf and their strategy to disrupt the PGA. LIV Golf, a brand new professional golf league, offered PGA stars ten times what they made on the PGA Tour to join their new league. And folks praised this strategy for its initial “success” in that a lot of big names did indeed leave the PGA. Yeah, of course the players came over. LIV Golf paid them so, so, so much more! But LIV Golf hadn’t discovered a way to increase potential revenue. So think about this in basic business terms… They paid much more in costs… …but had no real way to increase revenue. That’s not a strategy! That’s deficit financing. It won’t work unless you bankrupt the competition (and then turn around and pay those same golfers much, much less). It’s not a sustainable strategy and only lasts as long as the company/person/nation backing it decides they’re cool with losing money. For LIV Golf, that meant Middle East oil wealth, in particular Saudi Arabian money. Clearly, the current Iran War has hurt Middle East finances, so they need to trim their more exorbitant spending. And LIV Golf was part of that trimming. This should be a major warning for others. TGL’s parent company, TMRW Sports, just got a $1 billion valuation, despite TGL’s (the indoor golf league) horrible TV viewership of less than half a million viewers per match. Unrivaled, the women’s basketball league, just secured a $650 valuation, despite its horrible TV viewership and a new rival (Project B) entering the scene next year. To relate this to streaming, Hollywood should ask which streamers may have wealthy patrons funding their losses. (Let’s be clear: Google, Amazon and Apple.) Could those patrons lose their appetite? For Amazon, probably not. But Apple has a new boss, so maybe! WRONG: My Analysis of the Streaming Bubble Was Missing a Week I’m going to be congratulating myself a lot today, but I make mistakes too, like this data goof. When I last compiled the data on the decline in TV shows, I was missing one week at the end of June. If you look at the first image, you can see that one week was mislabelled as “July”. Mainly, this image got updated to show a 27% decline, not 29%: This change doesn’t really impact the overall analysis, but it is two percent better. By the way, through the third quarter, the decline increased and it’s now a 30% decrease since 2022. (I’ll write/visualize this in an upcoming article.) But I want you to trust me and my data. Especially these days, when many people are using LLMs that I know are inserting faulty data into their charts, I want to keep earning my audience’s faith. So that’s the accurate data. RIGHT: IP Remains Very, Very Popular In July, I wrote a giant (and I mean giant) article on Backrooms, Obsession, and the box office, going over what we know, what we don’t know about what works in theaters, looking at YouTubers, IP, the horror genre, comic book movies, and a whole lot more. The month of August really tested a lot of my theses and, being honest, mostly supported my arguments. Let’s start with IP. Looking at 8-Aug (the weekend after Spider-Man: Brand New Day came out) to 18-Sep (the weekend that Resident Evil came out, which I think provides a nice bookend to this time period), there were seven films based on pre-existing IP: Resident Evil (2026) ($126 million) Practical Magic 2 ($65 million) _Insidious: Out of the Furthe_r ($65 million) Coyote Vs. Acme ($59 million) Paw Patrol: The Dino Movie ($53 million) Tony ($15 million) Super Troopers 3 ($7 million) Compare those to the notable original films from the past month—I actually could have included more movies, but here are just thirteen, bringing us to an even twenty films—including.... The End of Oak Street ($54 million) Buddy ($26 million) Mutiny ($15 million) By Any Means ($15 million) The Dog Stars ($14 million) Runner ($14 million) One Night Only ($11 million) Hope ($8 million) Spa Weekend ($7 million) The Uprising ($6 million) Teenage Sex and Death at Camp Miasma ($6 million) Onslaught ($3 million) Eli Roth’s Ice Cream Man ($2.8 million) Here’s that in chart form: Five of the top six films in this time period were all based on IP. I made a big chart of films that grossed over $200 million at the box office before Spider-Man: Brand New Day and The Odyssey hit theaters. Let’s update that chart! By the way, if you want to see how I categorized each film—so another bar chart—here it is: I know that many of my fellow critics/pundits/analysts dislike films based on IP and how Hollywood is making so many of them. And I’m sympathetic to this point of view. As I’ve written many, many times before, you need a balance between existing franchises, new IP, and original films. And Hollywood clearly needs to make more films like Resident Evil (a well-made film from a visionary director) and fewer Practical Magic 2’s (which didn’t get critical or customer buzz). But at some point, critics and pundits need to contend with what audiences are telling them: Movie-goers aren’t showing up to original films. Audiences are speaking with their dollars, telling you they want more IP and franchises. You can try to convince studio heads to make fewer IP-based films and franchises, but the data and numbers aren’t there. Instead, critics need to work harder to convince audiences to show up for original films. Aim your ire/concern at the average person, not studio heads.2 Because they’re just making the films that audiences are telling them to make. WRONG: Original Horror Films Didn’t Break Out I’ll be honest, even though I wrote an article casting some skepticism on the horror genre in July, if you asked me to make a prediction, I would have predicted that, in August, a new, original horror film would have blown up. No, seriously, I just assumed that Obsession and Backrooms presaged a change in audience behavior. But none of the buzzy new original horror films from August—Teenage Sex and Death at Camp Miasma, Onslaught (not an action film in spite of the ads), The End of Oak Street, Eli Roth’s Ice Cream Man, or _Buddy—_broke out. To be clear, exactly one of those films (Buddy) had good “ROI”, but again—I try to be specific in my language—none were “popular” in any broad sense of the word. None of them will be “saving” movies theaters like Backrooms or _Obsession_helped save the summer. The new Insidious film and Resident Evil, both based on IP, were far and away the biggest horror films since July. (We’ll see if this changes in October/Halloween season.) RIGHT: Stay Skeptical about Crowdfunding... I’ve long been skeptical about crowd-investing platforms as one of Hollywood’s saviors, mainly because there’s so much hype/buzz. People need to stay more skeptical about more things, explaining both the potential upside but also the downsides. In particular, the media often hypes crowdfunding at the start and never checks in on the actual results after they’ve come in later. And August gave us our first update! _Ice Cream Man—_directed by Eli Roth—grossed $6 million off of a $5.5 million budget. This is a production of The Horror Section, which was one of the first “crowd investing” studios with 2,400 investors, which means that 2,400 investors probably lost money. They certainly aren’t getting as great of returns as if they had just invested their dollars in the stock market. Hopefully Stiletto (Tagline: “Someone’s Going to Make it Rain Blood!”) does better next month. WRONG: Another Data Goof Here’s another data error. When the first episode of House of the Dragon came out, HBO put out that it had 21.5 million viewers in the first three days, and I read that to mean in the US…but no, it was global. So my US-only datecdotes charts shouldn’t have included it. We never got US-only numbers for the first episode, but for the final episode, HBO put out that it had 11 million US viewers. (And that global dropped to 21 million viewers.) Here’s the updated chart (which I’ve since used in the Streaming Ratings Report): Still, this show is absolutely huge. RIGHT: Superhero Films Remain Very, Very Popular After Supergirl flopped, I read a few takes that “comic book movies are going the way of the Western”. Post-Spider-Man: Brand New Day, that take didn’t age well. To be fair, I have a very nuanced take on the superhero genre right now; it’s down right now, for a lot of reasons. But it’s not “dead”. Maybe _Spider-_Man is just a really popular character? I saw that take, and it’s a fair counter-argument. (But pundits arguing that superhero movies were dead should have mentioned this $1.5 billion counter-argument…) But is it just Spider-Man? The next Avengers film already has $50 million in pre-sales (and I was skeptical that that film would do well) and the Avengers: End Game re-release topped the box office two weekends ago (over three original films). And I wouldn’t bet against Batman or Superman. So maybe it’s just Spider-Man, Batman, Superman and the Avengers. Oh, and Deadpool, of course. And Black Panther. And Wolverine. And probably the X-Men. Plus a well-made Wonder Woman or the Hulk film could break out. But that’s it! It’s just those ten characters/teams. Oh, what’s that? Lanterns is also doing well on HBO? (See previous section…) To be fair, I’m actually pretty sympathetic to the argument that more popular characters—like Spider-Man and Batman—anchor more popular films. In fact, I made that exact argument three years ago when I first wrote about the “Marvel-cession”. In many ways, you can blame The Guardians of the Galaxy for fooling Marvel Studios (and the rest of us) into believing that any character could pop. It turns out, the list of iconic characters is probably smaller than most people think. But it’s probably too early to say that superhero films and comic book movies are dead unless “death” means a slight decline over a longtime. RIGHT: Who Killed Theaters? Old People I get frustrated whenever I see headlines or analysis about how young people are “returning” to theaters. As I’ve detailed(for years), young people have always powered the US box office, despite narratives about “kids these days” and their “phones”. Really, what’s changed post-2020/pandemic is that old people aren’t going to the movies nearly as much. This summer, I saw a movie (from an older director) in a theater near a retirement community, and multiple older people at the theater were talking about how this was their first time seeing a movie in years. I dislike personal anecdotes, so YouGov can fill in the data, best summarized by this headline: “Who killed movie theaters? Not the youths”. According to them, 64% of people aged 18-29 have seen a movie in the last year, but only 30% of 65-and-older. 20% of 18-29 have seen a movie in theaters in the last week and 42% in the last month. Here’s the polling data: Most concerning? Many Americans (17%) think theaters are a worse or much worse experience than watching films at home. Slight WRONG: Hadestown Opens Big A live theater capture of the Broadway musical, Hadestown, made $20 million at the US box office, which begs the question: was I wrong to be skeptical about musicals a few years ago? Yes and no. On the one hand, $20 million is a far cry from being “popular”, so yeah, the genre isn’t that popular overall and Hadestown is one of the more popular musicals from recent years (i.e. the “Taylor Swift Data Fallacy” in action). On the other, I doubt filming this cost all that much, and I don’t think that they spent much on marketing, so this is a good source of ancillary revenue. Smaller Updates WRONG: As I mentioned in a Streaming Ratings Report, I underestimated the budget for Enola Holmes 3. It probably cost more like $50 million, if not more. But... I’m not sure that it really matters? At sub-10 million hours, prices have to come down to make this work. WRONG: Netflix is giving Ink a 27-day in theaters! To quote the kids/YouTubers these days, let’s go! Now I might actually have a chance to see Danny Boyle’s latest in theaters. I’d complained about this in a “Coming Soon” section, but I was heartened to read that Netflix is giving multiple films longer theatrical windows this year. RIGHT: Netflix is sending 4-5 films per year to theaters. Netflix is slowly but surely sending more and more films to theaters, as I cautiously predicted earlier this year. For now, it’s just three big films and a number of awards contenders, but still, this is great news. And they’ll be releasing box office grosses! Just this week, Ted Sarandos confirmed that KPop Demon Hunters 2 will come to theaters (and my guess is it performs in the box office top ten at a minimum). WRONG: Angel has 3 million subscribers! How do I know this? Well, they told Deadline, who reported it. I marked this as “wrong”, since they’ve doubled their subscribers in one year but, you know, they don’t really have a hit film to speak of and they’re still losing money. WRONG: Furious was only renewed for one more season. I accidentally wrote “two more seasons” in my latest “Renewals, Cancellations, Un-Orders and Removals Update”. RIGHT: House of David is ending with its third season. In July, Prime Video renewed House of David for a third season, as I just wrote in my latest “Renewals and Cancellations” report. Well, now it’s ending after that third season. Why? As I’ve been writing, its viewership wasn’t great. I got feedback that this show didn’t cost very much, but it cost enough that its limited viewership didn’t save it. WRONG: Adults was a Hulu original! So I missed Adults when it first came out last year; I saw that it aired on FX and just assumed that it was a linear-first program. Turns out, it aired three episodes on FX, but binge-released the rest of its episodes the next day on Hulu. Huh. So I should have covered it last year! But I just wrote about it. 1 “When I was a kid in the 90s, if you wore a t-shirt to school that wasn’t too big and also wasn’t too small, but somehow didn’t quite fit, we’d say you were wearing an “extra-medium” shirt.” 2 As always, a huge exception is Disney, which barely makes anything original anymore.
Querétaro saw off Atlante and maintained their excellent form
Club Querétaro have gone from being a surprise package to a dominant force in the tournament. Against Atlante, the Gallos Blancos once again demonstrated their tactical solidity, beating the Potros d...
Acrisure Amphitheater fuels a sales surge for downtown businesses
Grand Rapids businesses saw sales surge during Acrisure Amphitheater's first season, but downtown spending data reveal a more mixed bag.
Medicare Advantage star ratings 2027: Winners and losers
Medica and Humana saw the greatest increases in the share of enrollees with plans that earned high star ratings.
Five Brothers Sushi: From college start-up to lasting business
About ten years ago, Jacob and Ammon Chung saw a need in the community — a spot for late-night eats that wasn't pizza or fast food. That's when sushi came into play.
Six Flags Entertainment Sees Unusually High Options Volume (NYSE:FUN)
Six Flags Entertainment Corporation (NYSE:FUN - Get Free Report) saw some unusual options trading on Tuesday. Traders acquired 3,322 put options on the company. This represents an increase of 119% compared to the typical daily volume of 1,515 put options.
Green Bay Packers add linebacker ahead of Week 5 game vs. Chicago Bears
The Green Bay Packers have been looking to find a way to get some additional depth at the linebacker position this season. With the defense running a 3-4 scheme, having an excellent linebacking core is critical for success. However, they saw Edgerrin Cooper suffer a torn Achilles, depleting their depth significantly. The front office was [...]
Meta AI data center project is a boon for local business in Louisiana
A small Louisiana town saw more annual sales tax revenue in 2025 than the last 20 years combined, thanks largely to a huge Meta data center project.
Concern after Europeans endorse US science agenda
Germany’s biggest research funder has said it is “concerned” after Berlin, plus several other European countries, endorsed a controversial US-led science policy statement. On October 4, the White House announced that 16 countries, including Germany, the UK, Italy, Greece, Bulgaria, Cyprus, Poland, Japan and South Korea had backed the Kyoto Vision for a Golden Age of Science.The document, agreed on the margins of the annual Science and Technology in Society forum in Kyoto, which gathers science ministers from across the world, appears uncontroversial at first sight. It’s a one-page statement, without any concrete measures, that touches on reducing administrative burden on scientists, experimenting with new funding models and the use of “super intelligence” in science, the Trump administration’s preferred term for artificial intelligence. However, what’s controversial is that much of the language in the Kyoto Vision reflects Science: A New Golden Age, a major policy document released by the White House in July.That document attracted criticism for deriding universities as “legacy institutions” and suggesting money be diverted to new research labs. In a speech in Kyoto on October 4, Michael Kratsios, director of the White House Office for Science and Technology Policy and the report’s author, said that the US was seeking to “diversify the ways that we support research to meet our best scientists where and when they do their best work.” The worry is that the Trump administration may be using genuine dysfunctions in academia as a pretext to defund and disempower universities, which US vice president JD Vance has labelled “the enemy.” Many in Europe also want more experimentation and reform of how science is organised and funded, and agree with criticisms of academia made by Science: A New Golden Age. But some also fear that if the US pushes for reform partially in bad faith, it could politicise and undermine the whole agenda. Washington is currently trying to change federal funding rules so that political appointees can block and cancel scientific grants. It has cut grants mid-project on topics related to diversity and other politically forbidden areas. And last year, it threatened to cut Harvard University’s federal funding unless it admitted a “critical mass” of new faculty and students to create campus “viewpoint diversity.” “Particularly concerned”Because of this wider US political context, the Kyoto Vision’s otherwise innocuous sounding statement that “we encourage experimentation with new institutional models for science that provide varying levels of autonomy, resources and direction” has caused consternation in Europe, particularly from some of Germany’s biggest science organisations. A spokesperson for the German Research Foundation (DFG), the country’s biggest funder, said that it would “closely monitor whether the current US administration uses the Kyoto Vision to restructure research funding to the detriment of research institutions such as universities and their autonomy.” The DFG was “particularly concerned” with the statement’s references to Science: A New Golden Age, they continued. A spokesperson for the German Rectors’ Conference, which represents the country’s universities, said that the reference to “new institutional models” raises “questions on the underlying understanding of academic freedom and autonomy.” Research funding must “guided first and foremost by scientific not political principles,” they went on. Dampen criticismEuropean endorsement of the Kyoto Vision might dampen domestic criticism of the Trump administration’s science policy, some in the US fear, by suggesting international support. “What we saw from Germany, Japan, the UK and other countries, is an impulse that the administration has exploited with our own science reform movement, a belief they can use dialogue to make things better,” said Cole Donovan, director of science policy at the campaigning group Stand Up for Science. “In practice, the administration has done the opposite.” Not a binding statementThere’s been so much concern in Germany that the country’s federal Ministry of Research, Technology and Space put out a statement defending its endorsement of the Kyoto Vision, which it has posted on its website. Related articlesIs metascience being co-opted?European researchers sound the alarm that Trump rule changes will hit cooperationThe US ‘golden age’ science strategy: what Europeans need to know The ministry said that it “should be regarded as a basis for discussion and does not constitute a binding statement.” Backing the statement gives Germany the chance to raise “issues and concerns” with the US during upcoming talks on science and technology scheduled for November. “Although these intentions appear, in principle, to be worthy of support, they will be scrutinised and examined more closely as the process continues,” the statement continues. Super intelligence?A ministry spokesperson confirmed to Science|Business that Germany had broadly endorsed the Kyoto Vision.However, they said Berlin had not agreed to final changes in the statement to refer to AI as super intelligence. In September, facing protests against data centres and polling that suggests US citizens are far more concerned than excited by the technology, Trump issued an executive order that attempts to rebrand AI as super intelligence, following polling on social media.The name change is to “reflect the transformative capabilities of these technologies and the limitless opportunities they create for the American people,” the order says. EU askedThe UK and Italian science ministries did not respond to a request for comment on their endorsement of the Kyoto Vision. Although most EU countries did not endorse the statement, it’s not clear which states the US asked. The White House Office for Science and Technology Policy did not return a request for comment. A European Commission official, speaking under condition of anonymity, said that the US had approached the EU, but too late for the EU to quiz all its member states on whether Brussels should endorse the statement.
Chickasaw-owned gaming company expands into Wyoming with racing acquisition
Chickasaw Nation-owned Global Gaming Solutions has expanded into Wyoming with the acquisition of Wyoming Horse Racing. The deal adds 13 Horse Palace gaming and off-track betting venues, more than 1,500 historic horse racing machines and live racing operations at Sweetwater Downs in Rock Springs, Wyo. The company announced the completed acquisition Oct. 20, following Wyoming […]
Review: I went to Longhorn Steakhouse, saw why it's successful
Longhorn Steakhouse is outperforming many other casual-dining chains. After visiting for the first time, I can see why.
Suspect takes tools valued at $4,000 from Sawmill Rd business parking lot
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.
The latest on Georgia football RB Nate Frazier vs. Alabama
Georgia junior RB Nate Frazier has been injured since Sept. 19, though he saw a few snaps on Oct. 3. He was suited up for Alabama, but has not yet played. The latest:
Stevens Point Business 51 Southside Project enters Stage 5
The Business 51 Southside Project is set to begin construction on Stage 5 on Thursday, October 8.
Judge orders Benson student to remain in mental health facility, for now
Wednesday marked the third hearing to decide whether the student should remain at a mental health facility or be transferred to a juvenile detention center. But it saw a dramatic last-second reversal, with the student only minutes away from being taken into custody to a local detention center.
A Reporter Who Saw Covid Coming Has Died
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Mike Vrabel reacts to Drake Maye's five-touchdown performance
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Under new management: Oak View Group takes the reins at Riverview Health Arena
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November 2026: Science history from 50, 100 and 150 years ago
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As Va. voters continue early voting, Warner, Mizusawa highlight differences in forum
With early voting underway in Virginia, Democratic U.S. Sen. Mark Warner and Republican challenger Bert Mizusawa are highlighting key differences on issues.
Conway bluegrass band Sawgrass brings longtime musical tradition to Horry County Museum
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Bette Davis knew her ‘era’ was ‘over’ when she saw Michael Keaton as Batman
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James Spader didn’t like Ultron’s ‘A--hole’ “VisionQuest” introduction until he saw his family’s reaction
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Former Beach Boy Al Jardine on Mike Love Health: Speechless, Depressed
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'Dark Matter' Season 2, episode 8 reveals who Charlie saw at Laurel's house
We called it!
Packers Urged to Trade for Superstar Running Back
The Green Bay Packers are going to need a running back to hold things down on offense moving forward. Meanwhile, the Philadelphia Eagles just saw their starting right tackle retire and a starting interior lineman get traded. If the Eagles are continuing to sell, the Packers should be buying Saquon Barkley, according to Wendell Ferreira […] The post Packers Urged to Trade for Superstar Running Back appeared first on HEAVY.
Whitmer celebrates Michigan educators completing intensive Science of Reading training
LANSING, Mich. — On Wednesday, Governor Gretchen Whitmer announced that 8,019 Michigan educators have now completed Language Essentials for Teaching Reading and Spelling (LETRS) training, a program that helps educators strengthen their literacy instruction and implement proven methods, like phonics and comprehension, to empower kids in the classroom. This milestone comes after Michigan saw record […]
Flu levels low across Wisconsin, health officials urge early vaccination
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Aaron Judge Says Yankees Need Polarizing Teammate To Win
The New York Yankees are looking for answers after another failed season saw them eliminated without a World Series trophy. A new record of at least 17 years in between MLB World Series victories has fans questioning the team’s future. Aaron Judge remains the most important player and the captain of the team. The injury […] The post Aaron Judge Says Yankees Need Polarizing Teammate To Win appeared first on HEAVY.
UW-Oshokosh business students launch new coffee cart
UW-Oshokosh business students launch new coffee cart
Liverpool must learn from Richard Hughes' mistakes
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Danaher and NVIDIA Partner to Accelerate Autonomous Science
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No injuries after early morning fire at Elkhart County business
WSBT CBS 22 provides news, sports, entertainment and public interest programs to the South Bend, Indiana area including Mishawaka, Notre Dame, Granger, Osceola, Elkhart, Jimtown, Dunlap, New Carlisle, Goshen, Middlebury, Bristol, New Paris, Nappanee, Howe, Lagrange, Topeka, Bourbon, Milford, Syracuse, North Webster, Warsaw, Bremen, Plymouth, Walkerton, Argos, Tippecanoe, Culver, Grovertown, Delong, Rochester, Akron, Winamac, North Judson, LaPorte, North Liberty, Wakarusa, Lapaz, Millersburg, Knox, and Michigan City, Indiana – and these areas of Michigan: St. Joseph, Benton Harbor, Buchanan, Niles, Three Oaks, New Buffalo, Harbert, Bridgeman, Stevensville, Watervliet, Berrien Springs, Dowagiac, Marcellus, Cassopolis, Decatur, Vandalia, Constantine, White Pigeon, Galien and Edwardsburg.
Every Final Destination movie, ranked from worst to best
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‘Early on I saw how much depends on the environment around science’
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Robin Roberts reunites with Diane Sawyer on “GMA” set 17 years after journalist’s exit: ‘Treasure these special moments’
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OpenAI's math dump rattles researchers who saw programs wiped out
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When 1 + 1 = 1: The Miserable Math Behind Many Media Mergers
(Welcome to the “Most Important Story of the Week”, my bi-weekly strategy column analyzing the most important (but often not buzziest) news story of the last two weeks. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. Please subscribe.) The last few issues of this newsletter have circled two topics: September’s streaming viewership and all the Paramount/Skydance/Warner Bros./Discovery merger news. I’m happy to say on the Streaming Ratings Report front, we’ll be all caught up by early next week, then the SRR will come out on a tight weekly schedule. Then, after today, I’ll have slayed my PSWbD dragon. It’s such a big story, it demanded multiple issues. With the announcement of a name (just Skydance) and executive team, though, I think we can almost close the book on this story. In terms of topics, it becomes just another studio to cover. So today, I have one last set of takes on that merger. As I’ve sat with it, reading about who was staying and who was going, a big worry crystallized in my brain, and I gotta get that take out. Plus, I still owe you a host of “ugliness” that didn’t fit in my previous “The Good, The Bad and The Ugly” takes. Let’s dive in! Subscribe Most Important Story of the Week - As Paramount Shuffles Deck Chairs, Will They Build or Consolidate? On social media—I try to avoid most social media platforms, but sometimes I end up checking in—the best joke I saw about the announcement of the new name of Skydance was from fellow reporter Claire Atkinson who pointed out… Yeah, I laughed out loud at that one. Later, though, I saw another Twitter response (that later got deleted, so I can’t shout the person out) that did give me pause. The person noted that the Titanic film made the better analogy: a super expensive project everyone in the town doubted that went on to conquer the globe. So yeah: on one hand, the image of the Titanic recalls the actual ship and its infamous end, but that clip is from a movie which proved the doubters wrong. So for all the skepticism of the latest massive media merger, one could wonder which way this one goes. Does it crash like the Titanic or rise to glory like Titanic, the movie? Either way, this deal is “Titanic”, looking at the massive debt required to close the deal, which is not going well when it comes to borrowing costs for Paramount… …or borrowing costs for Oracle. But I’ve started to get worried about another outcome: the sum of this merger will be smaller and weaker and less profitable than its former parts. In other words, one plus one won’t equal three or two, but an even smaller number. Skydance paid to take a traditional studio off the board, but they won’t really capture the upside. Let me explain what I mean, but first, let’s look at the series of news that inspired this thought. Skydance Sets Its Leadership Team As soon as the Paramount-Skydance-Warner Bros.-Discovery merger closed, the new leadership team announced a new name—Skydance, which I’ll use going forward—and a new executive leadership team. You’ve probably read through all the executive shuffling, but if you haven’t, here’s a quick, incomplete summary, in rough order of importance: Mattel’s CEO Ynon Kreiz—who previously ran Maker Studios—joined as co-CEO with David Ellison. HBO/HBO Max’s Casey Bloys will stay and run streaming. Former head of streaming for Paramount-Skydance Cindy Holland—who was also at Netflix—will depart. The former heads of Warner Bros.—Pam Abdy and Mike De Luca—are out. The film studios will be run by Dana Goldstein and Josh Greenstein. George Cheeks of Paramount will run Skydance TV, controlling all the TV production units. In comic book news, the DC films will still be run by Peter Gunn and Peter Safran. Lastly, the head of CNN, Mark Thompson, will stay in place. Let’s quickly opine on the particulars before diving into the broad ramifications. 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… Who I like and dislike in their next gigs… Why I think this consolidation will likely leave Skydance worse off… The math behind which mergers succeed and which don’t… A lot more ugliness in this merger… And a whole lot more... ...please subscribe! We can only keep doing this great work with your support.
WNC SCIENCE EXPERIMENT ON SPACE X
THE SPACE-X ROCKET THAT WE SAW STREAK ACROSS THE UPSTATE SKY YESTERDAY MORNING HAD A LOCAL SCIENCE EXPERIMENT ON BOARD.
See September business openings and what's coming to Abilene
Abilene saw business changes in September. See the month's openings and what's to come.
Women’s Breast Health Awareness Event set in Warsaw
WARSAW — A Women’s Breast Health Awareness Event will be conducted Thursday at the Wyoming County Community Health System.
‘Dancing With the Stars’ sees Heath Ledger tribute, first 10s, and twist ending on ‘Dedication Night’
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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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SACRAMENTO, Calif. — California students made gains across key academic and success measures during the 2025-26 school year, with test scores rising in English, math and science while the statewide graduation rate reached a record high of 87.9 percent. For the first time, the state released assessment results and California School Dashboard data together to give families and educators a more complete picture of student performance.English language arts scores increased 0.5 percentage points to 49.3 percent of students scoring proficient or advanced, while math scores rose 1.1 percentage points to 38.4 percent. Science showed the strongest improvement, jumping 3.3 percentage points to 36 percent of students scoring proficient or advanced.The statewide chronic absenteeism rate dropped 1.1 percentage points to 18.3 percent. The suspension rate declined to 2.8 percent, marking the third consecutive year of improvement."At a time when California continues to focus on accelerating learning and closing opportunity gaps, these results provide important evidence that our sustained investments are making a difference," Gov. Gavin Newsom said. "The continued progress we are seeing is a testament to the hard work of students, families and educators across the state—and we will continue working to build on these gains."The percentage of students prepared for college and career increased to 55.2 percent, up 2 percentage points from the previous year. More than 54 percent of graduates completed coursework required for admission to University of California and California State University systems, an increase of 0.9 percentage points."California has made important strides in expanding student supports and opportunities, but the pace of academic improvement reminds us that our work is far from finished," State Superintendent of Public Instruction Tony Thurmond said.Eighth grade students posted the strongest score trends in both English language arts and math. Science performance improved across all tested grades, with the strongest gains at the high school level.African American students demonstrated larger-than-average improvements across English, math and science. Hispanic or Latino students showed larger-than-average improvements in English and math, with positive math score trends across all grades.Students who were socioeconomically disadvantaged made gains across all 3 subjects, including larger-than-average improvements in English and math. Students who were homeless continued to demonstrate gains across grades, with particularly strong improvements in math."We are encouraged to see students making gains across all 3 major assessments and are especially encouraged by the progress of African American students, Hispanic or Latino students, socioeconomically disadvantaged students and homeless youth," said Linda Darling-Hammond, president of the California State Board of Education.The progress comes as California's public school system undergoes significant demographic change. Statewide school enrollment declined to approximately 5.73 million students in 2025-26, nearly 500-thousand fewer students over the past decade.The number of students with disabilities increased approximately 25 percent over the same period, from about 680-thousand to more than 850-thousand students. Graduation rates increased across nearly all student groups, including notable increases for American Indian or Alaskan Native students at 4.3 percentage points and students with disabilities at 3.7 percentage points.In Downey Unified School District, the rate of students demonstrating proficient or advanced grade-level knowledge increased by 2.1 percentage points in English, 2.8 percentage points in math and 4.7 percentage points in science. The district aligned graduation requirements with college admission expectations and invested in inclusive special education practices, expanded career technical education and expanded learning opportunities."The gains Downey Unified is seeing in student assessment results and on the Dashboard are the result of years of focused, consistent work across the district," Superintendent Roger Brossmer said.In Exeter Unified School District, proficiency rates increased by 4.6 percentage points in English, 2.3 percentage points in math and 3.6 percentage points in science. The district placed a strong focus on phonics and the science of reading, particularly in kindergarten through second grade."The gains Exeter Unified is seeing in student assessment results and on the Dashboard are the result of having great people who are focused on the right work, and great students who want to do well," Superintendent Melanie Dorough said.Union Elementary School District saw proficiency rates increase by 1.5 percentage points in English, 2 percentage points in math and 4 percentage points in science. Teachers regularly analyze state and local assessment data to guide instruction, supported by strong core instruction and early literacy strategies."Union Elementary School District's achievement gains reflect a focused, data-driven approach to meeting the needs of every student while fostering a strong sense of belonging, safety and connection," Superintendent Carrie Andrews said.The California Department of Education is examining local results to better understand strategies and conditions associated with stronger student outcomes. The state has made significant investments in recent years, including literacy and math coaching, tutoring, expanded learning opportunities, community schools and universal transitional kindergarten.