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How to watch the Hurricanes on Fubo: Prices, plans, features for new Carolina NHL streaming home
There's a new way to watch the Stanley Cup champs this season. Here's all you need to know.
Museum of Life and Science names red wolf pups in honor of Carolina Hurricanes
The Museum of Life and Science has named five new red wolf pups in honor of the Carolina Hurricanes’ 2026 Stanley Cup Championship.
Jerome ‘Big Duck’ Smith had a vision for New Orleans' youth. This group wants to bring it back.
Robert Stanley’s friends all tell him: He's got big shoes to fill.
Mike Babcock Sends Strong Message About Oilers’ Biggest Stars
One of the major storylines from the offseason was the hiring of Mike Babcock by the Edmonton Oilers to replace the fired Kris Knoblauch, the coach that had led them to consecutive berths in the Stanley Cup Final. Knoblauch was terminated along with assistant coach Mark Stuart, and replaced by Babcock and DJ Smith. Babcock […] The post Mike Babcock Sends Strong Message About Oilers’ Biggest Stars appeared first on HEAVY.
Panthers Have Little Room for Error After 2025-26 Collapse
The market is hardly bullish on the Florida Panthers getting back to its Stanley Cup-winning form this season. The post Panthers Have Little Room for Error After 2025-26 Collapse appeared first on HEAVY.
John Tortorella not returning as Golden Knights head coach after run to Stanley Cup Final
‘Bigger than any team’: Legendary hockey broadcaster Barry Melrose dies at 70
Barry Melrose, a hockey player-turned-coach who led the Los Angeles Kings to the 1993 Stanley Cup Final before going on to a long career in broadcasting the sport, has died
Child health is the national security crisis we keep ignoring
“National security begins in childhood,” write Tina L. Cheng, Stanley McChrystal, and James M. Perrin.
PHOTOS: Fans and Hurricanes celebrate in Raleigh victory parade
A victory parade Saturday morning celebrated the Carolina Hurricanes' Stanley Cup win.
Aho scores 2, Hurricanes beat Flyers 3-2 in OT for first win of season
The win was Carolina's first of the season after the Stanley Cup champions opened with a pair of losses.
NHL to produce games for Hurricanes, Blue Jackets, Wild, Blues
The Stanley Cup champion Carolina Hurricanes, along with the Columbus Blue Jackets, Minnesota Wild and St. Louis Blues, have their games produced and distributed by the NHL for the upcoming season, as the league branches out into centralized production.
In 1924, the Montreal Canadiens left the Stanley Cup on the side of the road
The roadside mishap isn’t even the craziest thing to happen to hockey’s ultimate prize.
Panthers’ Brad Marchand Announces Worrying Update On Social Media
Despite not making the Stanley Cup Playoffs because of numerous injuries to so many key players, one of the positive aspects for the Florida Panthers in 2025-26 was the play of veteran forward Brad Marchand.Marchand, who was acquired at the 2025 NHL Trade Deadline from the divisional rival Boston Bruins and later helped Florida repeat […] The post Panthers’ Brad Marchand Announces Worrying Update On Social Media appeared first on HEAVY.
Sell this Chinese internet name that is struggling to turn around its core business, Morgan Stanley says
Baidu has shown that it's still struggling to turn around its core ads business, so it looks like it's time to sell the stock, per Morgan Stanley.
Bruins GM Don Sweeney Announces Extension For Young Forward
The Boston Bruins have made several moves so far during the offseason that they hope will help further propel them in the Stanley Cup Playoffs this season; they returned to the playoffs after missing in 2025, though they’d be eliminated in the opening round by the divisional rival Buffalo Sabres.The Bruins, who lost forward Viktor […] The post Bruins GM Don Sweeney Announces Extension For Young Forward appeared first on HEAVY.
Don't fear an AI-driven wipeout of white-collar jobs, Morgan Stanley says
Economists at Morgan Stanley say that veterans of the white-collar labor force actually stand to benefit most from the productivity gains delivered by AI.
More than 100 Tennessee workers laid off amid closure of Gallatin business
More than 100 people will lose their jobs amid the closure of Stanley Black and Decker in Gallatin.
Golden Knights’ Stanley Cup Final Decision Named Among NHL’s Worst
The Vegas Golden Knights came within two victories of another Stanley Cup championship last season.One decision from that run is drawing considerably less praise.Bleacher Report’s Adam Gretz included former coach John Tortorella’s playoff choices on his list of the eight worst decisions from the 2025-26 NHL season, with his handling of the goaltending situation during […] The post Golden Knights’ Stanley Cup Final Decision Named Among NHL’s Worst appeared first on HEAVY.
Wild GM Bill Guerin’s contract reportedly has been extended
Minnesota Wild general manager Bill Guerin reportedly has signed a contract extension, another sign of the organization’s all-in pursuit of a Stanley Cup title.
Morgan Stanley Raises PT on International Business Machines (IBM) Stock
International Business Machines Corporation (NYSE:IBM) is one of the Best Cloud Computing Stocks to Buy According to Hedge Funds. On June 23, Morgan Stanley lifted its price objective on the company’s stock to $267 from $225, and maintained an “Equal Weight” rating on the shares. As per the analyst, Dell and HPE earnings demonstrate that the enterprise server demand […]
Former Anaheim Duck Ryan Getzlaf to have jersey number retired
Former Anaheim Ducks captain Ryan Getzlaf is having his jersey number retired this season on January 30, 2027, against the Nashville Predators.He’ll be honored during what is the 20th anniversary season since the Ducks won the Stanley Cup in 2007. Anaheim is having Legacy Nights to celebrate their lone championship.“Thank you guys, I appreciate it […] The post Former Anaheim Duck Ryan Getzlaf to have jersey number retired appeared first on HEAVY.
Drew Doughty named captain of the Kings, succeeding Anze Kopitar
Drew Doughty was named captain of the Los Angeles Kings on Wednesday, inheriting the leadership position left vacant by Anze Kopitar's retirement. The 36-year-old Doughty is the franchise leader among defensemen in numerous categories, including goals, assists, points and games played and was a key piece in their Stanley Cup victories in 2012 and 2014. “Being named captain of an NHL team is something I’m truly honored by, and it’s something I take great pride in,” Doughty said in a statement released by the team.
Your Voice, Your Vote: Stanley Langlow, Chelan County sheriff candidate
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Grief and mental health - The real reasons for Stanley Nwabali's exit from, and return to, Chippa United
Five months after his surprise departure from Chippa United without much explanation, Nigeria goalkeeper Stanley Nwabali has returned to the South African Premiership club, in equally unexpected fashion.
Hurricanes win first Stanley Cup for 20 years
The Carolina Hurricanes win the NHL's Stanley Cup for the first time in 20 years by beating the Vegas Golden Knights in Las Vegas.
Worrying Warning Given To Maple Leafs Despite Offseason Moves
Among the busiest teams in the NHL so far this offseason have been the Toronto Maple Leafs, who not only made monumental changes to their roster, but to their front office and coaching staff.The Leafs, who missed the Stanley Cup Playoffs for the first time in a decade, lucked out by winning the NHL Draft […] The post Worrying Warning Given To Maple Leafs Despite Offseason Moves appeared first on HEAVY.
Major CT manufacturer among companies facing consumer lawsuits over tariff refunds
Stanley Black & Decker faces lawsuits alleging it unfairly kept tariff refunds after raising prices, testing a new legal theory in Connecticut.
I vibe coded a 7-figure tool for my startup; the 4 steps I followed
John Hu left a banking career and his MBA program to build Stan. He and his cofounder went on to vibe code Stanley, an AI tool, in just 14 days.
Three upcoming shows offer variety at Stanley Theatre
UTICA — From the music of Phil Collins to a popular television game show and a Halloween-themed circus, The Stanley Theatre has a variety of entertainment lined up.
Panthers Star Named Public Enemy No. 1 For Maple Leafs
The Toronto Maple Leafs and Florida Panthers not only play in the heavily competitive Atlantic Division, but they’ve also had two run-ins during the Stanley Cup Playoffs in recent years, both of which went the way of the Panthers.And during each of those series, multiple Panthers players became the bane of Toronto’s existence, including Matthew […] The post Panthers Star Named Public Enemy No. 1 For Maple Leafs appeared first on HEAVY.
Column: How the brotherhood among Chicago’s young stars fuels our great sports town’s next wave
Caleb Williams leading the “PCA” chants from behind the Cubs dugout Thursday night at Wrigley Field reminded us of a time when the starting quarterback of the Bears was not so beloved. It was 14 years ago next week that TMZ reported angry Bears fans at Stanley’s Kitchen & Tap, a North Side restaurant, lit a Jay Cutler jersey on fire. The video showed former Blackhawks star Chris Chelios as one ...
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Morgan Stanley breaks down elections it's with impact on data centers
Data center developers have run into local opposition across the US this year. Market pros say the bottleneck could be a threat to the AI trade.
Kim Stanley Robinson won't read aloud his climate disaster scene from 'The Ministry for the Future'
In the opening chapter of Kim Stanley Robinson's “The Ministry for the Future,” a prolonged heat wave grips northern India | WWL
Museum of Life and Science names red wolf pups in honor of Carolina Hurricanes
The Museum of Life and Science has named five new red wolf pups in honor of the Carolina Hurricanes’ 2026 Stanley Cup Championship.
KISS looks ahead as sons rise, Vegas avatar show looms
NEW YORK - When Gene Simmons and Paul Stanley enter a room, people pay attention.
Dolly Parton’s first posthumous song ‘Bound to Ride’ released
Dolly Parton continues to share her voice with fans, even after her death. Parton will be featured on an upcoming all-star tribute album titled “Where the Soul Never Dies: Celebrating 80 Years of The Stanley Brothers.”
Bad News For Former Bruins Captain Brad Marchand
Former Boston Bruins captain Brad Marchand enjoyed personal success in what was his first full campaign with the divisional rival Florida Panthers, to whom he was dealt at the 2025 NHL Trade Deadline and helped win the Stanley Cup.While the Panthers would ultimately miss the Stanley Cup Playoffs in 2025-26 because of numerous injuries to […] The post Bad News For Former Bruins Captain Brad Marchand appeared first on HEAVY.
Stars Sign Veteran Winger David Perron to Pro-Rated Deal
Dallas bolsters its forward depth with a low-risk gamble, betting that the seasoned Stanley Cup champion still has enough offensive spark to provide a cheap scoring punch.
Connor McDavid Teams Up With Maple Leafs Defenseman In Offseason
The Edmonton Oilers are essentially in “win now” mode considering that star captain Connor McDavid is entering the first of the two-year extension that he agreed to in October of last season.McDavid, regarded as the NHL’s top player and who has now lost twice in the Stanley Cup Final, has essentially declared that the Oilers […] The post Connor McDavid Teams Up With Maple Leafs Defenseman In Offseason appeared first on HEAVY.
Red Wings Stanley Cup Odds Following Shawn Horcoff Promotion
Red Wings Stanley Cup odds sit at +15000 following Shawn Horcoff’s promotion. Detroit also has the longest Eastern Conference title odds on the board.
Elanco to Participate in Morgan Stanley 24th Annual Global Healthcare Conference
/PRNewswire/ -- Elanco Animal Health Incorporated (NYSE: ELAN) will attend the Morgan Stanley 24th Annual Global Healthcare Conference on September 15, 2026....
Golden Knights open camp with 'unfinished business' after 2 wins short of the Cup
Life is seldom dull around the Golden Knights, and that was certainly the case at the end of last season when Vegas fired its championship coach, hired another title-winning coach and then moved on to a third after an unlikely Stanley Cup Final run. What truly matters to the Golden Knights is not so much the process, but the end. “You don’t forget coming two games short of winning the Stanley Cup,” center Jack Eichel said Thursday on the first day of training camp.
Ohio State women's hockey adds Jack Johnson to coaching staff
The 2022 Stanley Cup winner is joining the women’s ice hockey coaching staff as associate head coach.
Ravens-Titans inactives: Ronnie Stanley, Zay Flowers to play
The Ravens deactivated four players for their Week 4 matchup with the Titans.
Carolina Hurricanes Announce Eric Robinson News During Training Camp
Thursday, September 17, is an important day on the NHL calendar, as teams across the league have begun the training camp portion of their season. That is the case for the defending Stanley Cup champion Carolina Hurricanes. After the lengthy title run, the Canes are dealing with a handful of injuries, but all things considered, […] The post Carolina Hurricanes Announce Eric Robinson News During Training Camp appeared first on HEAVY.
Stanley Parable Co-Designer Perfectly Explains Why People Play 1,600 Hours Of Dota 2 And Still Hate It
This is exactly how I've felt
Penguins Already Dealing With Injury Concerns
Last season, the Pittsburgh Penguins returned to the Stanley Cup Playoffs for the first time since 2022, and they managed to put a scare into the in-state rival Philadelphia Flyers despite falling into a three-games-to-none hole.But now, the new season is right around the corner, and the Penguins, having wrapped up training camp, will host […] The post Penguins Already Dealing With Injury Concerns appeared first on HEAVY.
Hurricanes fans jam into downtown Raleigh for team's Stanley Cup parade
Thousands of fans arrived hours early to line sidewalks for the team’s victory parade or packed in near the rally stage.
Senior Center this week: Games galore and health checks
Waltham’s Council on Aging operates out of the William F. Stanley Senior Center at 488 Main St. The spacious, well-equipped center offers abundant
Hurricanes follow Stanley Cup title by looking at how to improve roster
Carolina doesn't have a lot of free-agency decisions after winning the team's first Stanley Cup title in 20 years.
Fire destroys Clymer barn, business
CLYMER – Fire destroyed a tarp business and barn on Ravlin Hill Road in Clymer on Tuesday – though the family’s home was saved. Firefighters from six area volunteer fire departments responded to the fire around 5 a.m. after Clymer firefighters called for mutual aid. Surrounding departments, starting with the Stanley Hose Company from Sherman, […]
Canes TV? Hurricanes to launch own sports network for 2026-27 season
The Hurricanes, who won the Stanley Cup in June, were among the professional sports franchises left without a television partner when Main Street Sports Group ceased operations at the end of the 2025-26 season.
Alabama Politics This Week with Dale Jackson & Mecca Musick | Special Guest Assoc Atty Gen. Stanley Woodward, Jr.
Billionaire family offices back health care and biotech startups in August
The personal investment firms of titans like Stanley Druckenmiller are backing innovations in gene editing, drug discovery and more.
Tom Cruise is best part of ambitious but sterile 'Digger'
Alejandro Iñárritu's surreal, over-the-top environmental satire is part Wes Anderson, part Stanley Kubrick and all frustrating.
NSE Closing Auction Session, Yen intervention, Q1 results, $20 billion IPL Business and more
Hello and Welcome to the CNBC-TV18 Newsletter. Today, we take a look at NSE's Closing Auction, Japanese Yen's intervention, Q1 results, IPL's $20 billion business, Morgan Stanley bets on KOSPI, LEAP India IPO and more.
Dolly Parton’s first posthumous song released
The late country singer recorded a rendition of “Bound to Ride” as a tribute to the Stanley Brothers.
SpaceX Is $15 Away From A ‘Worthless’ AI Business Says Morgan Stanley
Some analysts at the bank looked at the falling price of the stock and said it implies investors assign to SpaceXAI, the Grok chatbot division.
Unfinished Business
“I’m invested in this group,” said Wild forward Nick Foligno last season after Minnesota lost to Colorado in five games in the Second Round of the Stanley Cup Playoffs. On the eve of the season opener in Nashville, Foligno is true to his word and is gearing up for what
Toy Story 5, Backrooms and The Breadwinner Vie to Become the Second Biggest Film This Year...
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Often, people blame “data” for ruining Hollywood, when I’d argue that hype (which can often be debunked by data) is often worse, as you can see in these two headlines. To use a common meme, here’s how it started: and how it’s going: Earlier this year, I read countless (and I mean countless) articles (in almost every mainstream media outlet) about how Heated Rivalry was a huge hit and that it “heated” interest in hockey. But Heated Rivalry wasn’t a huge viewership hit compared to the hype: [ ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) [ You Can’t Eat Buzz…Did Heated Rivalry’s Buzz Translate into Actual Viewership? ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) Entertainment Strategy Guy · Jan 22 [ Read full story ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) In this case, the hype (Heated Rivalry is really popular) belied the data (It didn’t make the top ten charts, meaning it wasn’t a huge hit.1) Even worse, every time I write about this, I get a lot of negative feedback, hence why I only sparingly mention the show these days or add lots of caveats when I write about it, but this just further cements the hype. But companies, and the executives leading them, have to determine strategy based on reality, not media coverage. The NHL committed real marketing dollars to a campaign that didn’t work. Sure enough, the latest NHL season opened to under a million viewers. At some point, you have to focus on what the data says, because real dollars are at stake. And that’s why we have the Streaming Ratings Report! To provide and analyze cold, hard data. Luckily, this week, I can be positive and take a look at a huge opening on streaming, along with a very buzzy horror film that customers kind of like, but don’t really love. And a comedy that tried to rebound on streaming. Today, I’m covering two weeks—21-Sep and 28-Sep—so we have a lot to discuss (nearly 5,000 words worth), including a series of film misses for Netflix, another argument for weekly-released TV shows on streaming, another sitcom tries to avoid the comedy curse, Netflix has two new game shows (one powered by AI), Reacher falling off the charts after a huge run, Prime Video tries its hands at the romcom game**,** a look at the WNBA’s big season, a big night for the VMAs on CBS and MTV, all the flops, bombs and misses, and a whole lot more. (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of September 14th to October 4th, 2026. You can find a link to my terminology here.) Subscribe Film - Two Hits and a Miss Come to Streaming… Three very interesting films came to streaming in one week, and I like comparing them since they show the range of theatrical films. One was a huge blockbuster, one was popular, and one was neither. One is a horror film, a buzzy genre; one is a comedy, a struggling genre; and one is an animated family film, the king of the box office. One went to a tiny streamer (HBO Max), one went to a second-tier streamer (Disney+), and one went to the biggest (Netflix). So… If you just went by box office, you’d expect Backrooms—the $197 million grosser, and partner of Obsession for “YouTube Horror Summer”—to dominate on streaming. If you read this report, though, you know that horror films don’t do great on streaming, and that’s the case again. Backrooms opened at 3.8 million hours according to Nielsen, and had 3.9 million hours in its second week. Here’s how that stacks up to other HBO Max films: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… ...why I don’t buy Backrooms budget… …two new games shows arrive on streaming… …another sitcom struggles… ...another argument for putting out shows weekly on Netflix... ...and a whole lot more, nearly 5,000 words more... ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, I’ll be taking a look at the eighth season of Hulu’s The Kardashians, answering the question: will this show ever make the charts? If Mormon wives can make it, surely one of social media’s most popular families can as well. Also, Prime Video has a new horror show based on popular IP, Carrie, Netflix has a horror show starring Josh Hartnett, Below, and Apple TV has a UK import, Small Prophets. Plus a bunch of movies like Disclosure Day heading to Peacock, The Housemaid coming to HBO Max, Ben Affleck’s latest on Apple TV, Animals, and Matchbox the Movie on Apple TV, a John Cena action comedy inspired by Hasbro’s toy cars. The week after is even busier! I’ll look at another IP-based horror show, Crystal Lake, a new MCU show on Disney+, VisionQuest, season two of The Lowdown on FX/Hulu, the fourth seasons of The Diplomat on Netflix and Tulsa King on Paramount+, another season of Love is Blind, and four straight-to-streaming films: Netflix’s Sacrifice (starring Chris Evens, Anya-Taylor-Joy, Vincent Cassel, John Malkovich, Salma Hayek. Charlie XCX), Apple TV’s Tenzing (starring Tom Hiddleston and Willem Defoe), Prime Video’s Love of Your Life (Margaret Qualley) and Masterplan (Stanley Tucci) and a whole lot more, somehow. Long term, here’s some huge IP news: a Game of Thrones movie is coming to theaters, Game of Thrones: Aegon’s Conquest in 2029, while Jon Watts (who helmed three of the most recent Spider-Man movies) is directing the next Star Wars trilogy, to be written by Simon Kinberg. I’m cautiously optimistic for both. It feels obvious to say that making good movies matters, but for bets this big (Star Wars is on a swoon, Game of Thrones hasn’t been to theaters yet), the quality has to be there.
SGMC Health Welcomes Pulmonologist Dawn Stanley, MD
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Hurricanes' repeat bid, superstar trade requests, who will win the Stanley Cup and other 2026-27 NHL season storylines
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Penguins Trade Proposal Sends Sidney Crosby To Eastern Rival
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Maple Leafs release former Stanley Cup champion right before season
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Palmetto Sports Daily: Hurricanes win Stanley Cup, USC-Coastal baseball rivalry brewing?
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Bruins’s Casey Mittelstadt Gets Honest About 1st Year In Boston
It won’t be long now before the Boston Bruins gather for Training Camp in preparation for the 2026-27 NHL Season, and they’ll be out to prove that they’re better than losing in the opening round of the Stanley Cup Playoffs as they did earlier this spring.One of the key forwards for the Bruins is Casey […] The post Bruins’s Casey Mittelstadt Gets Honest About 1st Year In Boston appeared first on HEAVY.
Pyrex’s $25 Water Bottle Is Gaining Popularity Due to a Cool Feature That Stanleys and Owalas Don’t Have
Pyrex’s water bottle has one very cool feature that Stanleys and Owalas don’t have—it changes color. Plus, it’s made of shatterproof glass and features a locking flip-top that can be accessed with one hand.
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.
Carolina Reportedly Shopping Rookie Defenseman Alexander Nikishin
Stung by high contract demands and defensive inconsistencies, the Stanley Cup champions may trade their offensive blueliner to land a multi-time Vezina winner for the crease.
Buffalo Sabres’ Trade Pitch Could Land $25 Million Veteran Center
The Buffalo Sabres have hope and potential, but is it enough to push them into the Stanley Cup race during their 2026-27 campaign?Some NHL insiders are putting the possibility on the table, but one key player could turn that far-fetched possibility into reality.Buffalo Sabres Named Top Landing Spot for Edmonton Oilers CaptainAdam Gretz of Bleacher […] The post Buffalo Sabres’ Trade Pitch Could Land $25 Million Veteran Center appeared first on HEAVY.
3 burning Blackhawks questions entering 2026-27 NHL season
The Chicago Blackhawks once again missed the Stanley Cup Playoffs in 2026. The Blackhawks did not reach the highs that similar teams such as the San Jose Sharks reached a year ago. But Connor Bedard and his teammates still made progress as a team in 2025-26. The Blackhawks want to turn the corner sooner rather than later. Chicago has some very […] The post 3 burning Blackhawks questions entering 2026-27 NHL season appeared first on ClutchPoints.
Kings news: LA announces new captain after Anze Kopitar's retirement
The Los Angeles Kings are without Anze Kopitar for the first time since his NHL debut in 2006-07. 20 years of reliable leadership and production are no more, with Kopitar having retired after the 2026 Stanley Cup Playoffs. However, Los Angeles has named a new captain, and the honor goes to a longtime teammate of the former captain. The Kings have […] The post Kings news: LA announces new captain after Anze Kopitar's retirement appeared first on ClutchPoints.
Bruins Could Lose Forward Who Hit Career Highs Last Season
The Boston Bruins managed to return to the Stanley Cup Playoffs earlier this spring, marking a return to the annual tournament for the first time since 2024 after having failed to qualify last spring.However, their stay in the postseason was short, as they were eliminated in the Eastern Conference Quarterfinal by the divisional rival Buffalo […] The post Bruins Could Lose Forward Who Hit Career Highs Last Season appeared first on HEAVY.
Sabres Insider Reveals The Goaltender They Could Trade
It’s going to be interesting to watch whether or not the Buffalo Sabres will be able to repeat their tremendous success they enjoyed over the final two-thirds of the 2025-26 NHL season that saw them return to the Stanley Cup Playoffs for the first time since 2011, while also winning their division for the first […] The post Sabres Insider Reveals The Goaltender They Could Trade appeared first on HEAVY.
Stanley Black & Decker to sell $300M mower business
Stanley says the sale is an effort to focus on growing its biggest brands, and it will continue to make and market lawn-mowing equipment.
SpaceX shares can more than double, Morgan Stanley says. The bull thesis isn't based on space business
SpaceX has worked to become a bigger player in AI by acquiring startup Cursor, and that should add considerable value to its shares, Morgan Stanley says.
Sabres Complete Trade With Stanley Cup Champion Hurricanes
The Buffalo Sabres returned to the Stanley Cup Playoffs for the first time since 2011 earlier this spring, enjoying an opening round series victory over the divisional rival Boston Bruins before falling to the Montreal Canadiens, another divisional rival, in the Eastern Conference Semifinal.But Buffalo’s chances of returning to the playoffs for a second straight […] The post Sabres Complete Trade With Stanley Cup Champion Hurricanes appeared first on HEAVY.
Insider Reveals the Latest on Sidney Crosby’s Penguins Future
For over two decades, Sidney Crosby has been the face of the Pittsburgh Penguins franchise, and in that time, the team have won three Stanley Cups and have consistently competed year in, year out throughout the regular season.Throughout that time, the team have had Evgeni Malkin and Kris Letang leading the charge with Crosby, but […] The post Insider Reveals the Latest on Sidney Crosby’s Penguins Future appeared first on HEAVY.
Morgan Stanley on life after selling your business: a roadmap for entrepreneurs
Selling your company can be the financial win of a lifetime — and one of the most disorienting transitions you'll ever face.
Penguins’ Bill Zonnon Reveals Sidney Crosby’s True Character
Longtime Pittsburgh Penguins captain and future Hall of Fame franchise icon Sidney Crosby is under contract for at least one more season, though he’s openly spoken about how he intends to continue his career with year-to-year contracts.In the meantime, Crosby managed to help lead the Penguins back to the Stanley Cup Playoffs earlier this spring […] The post Penguins’ Bill Zonnon Reveals Sidney Crosby’s True Character appeared first on HEAVY.
Stanley Cup, World Cup lead to big betting in June, last month before tax, distribution changes
Wall Street giants bar staff from finance and politics prediction markets, source says
July 9 (Reuters) - Wall Street giants Goldman Sachs and Morgan Stanley have barred employees from trading on prediction-market contracts linked to financial markets and political events, a source familiar with the matter said on Thursday. A memo was ...
Dan Vladar Leaves Flyers Game After Scary Scene in Boston
The Philadelphia Flyers returned to the Stanley Cup Playoffs earlier this spring and enjoyed a round one series victory over the bitter rival Pittsburgh Penguins – and they had goaltender Dan Vladar, in large part, to thank for that.However, as the Flyers continue preparations for the upcoming 2026-27 NHL campaign, fans everywhere loyal to the […] The post Dan Vladar Leaves Flyers Game After Scary Scene in Boston appeared first on HEAVY.
Stanley Cup cash flow: Downtown Raleigh businesses prepare for big crowds during Saturday's parade
Before Saturday's Stanley Cup championship parade, downtown Raleigh businesses are stocking up for what could be the busiest day of the year.
3 burning Oilers questions entering 2026-27 NHL season
The Edmonton Oilers have one goal in mind this coming season. Connor McDavid and his teammates are looking to bring the Stanley Cup back north of the border to Edmonton. They have come oh-so-close in the past, but have fallen short each time. Last season’s defeat was the worst of them all, in some respects. The Oilers were eliminated in the first […] The post 3 burning Oilers questions entering 2026-27 NHL season appeared first on ClutchPoints.
Cardinal Health Targets 13%-15% EPS Growth as Specialty Momentum Builds
Cardinal Health (NYSE:CAH) CEO Jason Hollar said the company expects fiscal 2027 to extend the broad operating momentum it generated in fiscal 2026, with all five operating segments positioned for what he described as a “constructive” period. Speaking at the Morgan Stanley Global Healthcare Confere
The Carolina Hurricanes Stanley Cup Parade Was Magnificently Unhinged
A Mikko Rantanen sweater was thrown into the parade path (and stomped on by fans), and three of the featured […]
Flyers Make Major Announcement on Second Year NHL Winger
The Philadelphia Flyers took a huge leap forward in 2025/26 in their first season under Head Coach Rick Tocchet, and after a series win in the Stanley Cup Playoffs, they’re hoping to take another step in 2026/27 with this young, ascending core.As evidenced by their moves this off-season, the team are still seeking that young […] The post Flyers Make Major Announcement on Second Year NHL Winger appeared first on HEAVY.
Morgan Stanley turns more hawkish, forecasts two Fed hikes and ECB move
Morgan Stanley has joined other major Wall Street banks in adopting a more hawkish outlook on interest rates, forecasting U.S. Federal Reserve rate hikes and another European Central Bank increase later this year as inflationary pressures persist.
Kim Stanley Robinson won’t read aloud his climate disaster scene from ‘The Ministry for the Future’
In the opening chapter of Kim Stanley Robinson's “The Ministry for the Future,” a prolonged heat wave grips northern India.
4-6 years-old
4-6 years-old – from left, second runner-up Kennedy Shanks, the five year-old daughter of Ethan Shanks and Victoria Stanley, winner, Tinley Mae Brooks, the six year-old daughter of Justin and