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As AI raises the stakes for scale, independent businesses face an ownership choice
As AI raises the value of scale, independent businesses weigh outside investment against shared ownership models that preserve control.
The Israel debate reshaping Jewish American politics
“There are plenty of people who believe, as I do, that Israel has a right to protect itself,” says David to Lauren, both pictured below, over the dinner table. Subscribe “How does starving children protect Israel?” she replies. “I don’t think Israel is intentionally starving children.” “It’s a little bit absurd to be sitting here talking about all of these very specific things,” Lauren says, “as opposed to looking at the totality of him as a candidate, and the 90% of things that you agree with him on.” This is a snapshot from a conversation between a Jewish father and daughter in Michigan ahead of the crucial Senate race. Lauren supports the Democratic candidate, Abdul El-Sayed. Her father is undecided. That is mainly because of El-Sayed’s stance on Israel, one that mirrors a growing wing of the party that has become critical of the US-Israel relationship following the war in Gaza. You’re reading FourSight, a newsletter from Channel 4 News’ expert journalists explaining the complexities of the biggest global stories Could that alienate Jewish American voters who have a strong connection to Israel - and the majority of whom have voted Democratic? A shifting stance on Israel “An ally that takes your money to push you into wars you shouldn’t be fighting is not an ally,” El-Sayed recently told ABC News, referring to the Iran war and how some Americans believe that Israel pushed President Trump into the conflict. Foreign policy has become an economic issue that’s hitting Americans’ pockets, with the soaring cost of petrol and diesel. El-Sayed, pictured below, has opposed military aid for Israel and accused the nation of genocide in Gaza. That led to the pro-Israel lobby group, AIPAC, funding his opponent, Hayley Stevens, to the tune of $30m during the Democratic primary here. “I frequently criticise AIPAC because I think the way that they are pouring dollars into defeating Abdul and others around the country… is really corrosive to American democracy,” Brad Lander says at a canvassing event in Detroit. Lander, a Jewish Democratic congressional candidate in New York, is an ally of Mayor Zohran Mamdani and has come to campaign for El-Sayed. “Democrats and Americans don’t want to keep paying for Netanyahu’s wars,” he says. “They want a reset in the US relationship with Israel.” The 2026 election has clearly been a bruising one for AIPAC; the Wall Street Journal reported that, in an unpublished letter, the group described the cycle as one of the “most challenging environments in recent memory”. Share And significantly, after the midterms, the group will stop direct contributions to candidates through one of its political action committees. Voters’ concerns We followed a group of Jewish canvassers around one suburb in Detroit. They think that among the 130,000 Jewish voters in Michigan, between 20 and 30,000 are undecided. In a swing state where El-Sayed beat his primary rival by just 13,000, that could prove pivotal. We meet one voter, Jen Friedman, pictured below, who has a “Democrats for Rogers” sign, referring to the Republican candidate. The issue of Israel is very important to her because “having a safe haven is crucial”, she tells me. “What I see is one candidate, Mike Rogers, who is associating himself with people who are very proudly American,” says Jen. “Abdul, on the other hand, is associating with people who say they are anti-American.” Friedman raises two issues. Firstly, Hasan Piker, a left-wing streamer who has campaigned alongside El-Sayed and has been criticised for his comments on the US and Israel. [ ](https://channel4news.substack.com/p/who-is-hasan-piker-the-socialist) [ Why Hasan Piker thinks the US needs a socialist Trump ](https://channel4news.substack.com/p/who-is-hasan-piker-the-socialist) Anushka Asthana · Aug 19 [ Read full story ](https://channel4news.substack.com/p/who-is-hasan-piker-the-socialist) The other concern regards an attack on a Michigan synagogue back in March. The FBI said the man was inspired by Hezbollah and had lost relatives in an Israeli airstrike on Lebanon. El-Sayed condemned the antisemitic attack, but also said “hurt people hurt people”. That upset many here, with El-Sayed apologising numerous times for his choice of language. Jews for Abdul As we follow the canvassers, there are still plenty of lawn signs supporting El-Sayed. Elissa Driker, pictured below, runs out of her house wearing a “Jews for Abdul” t-shirt. “I feel like the values that Abdul has align with how I live my Judaism,” she tells me. She says “Abdul is not Hasan Piker, so I don’t conflate them”. I ask why Piker keeps coming up. “It gets weaponised. I don’t know if you watched the debate the other night, but talk about… weaponising fear and weaponising anxiety and all that Islamophobic dog-whistling that was coming towards Abdul.” I also talk to Elissa about how Americans more broadly appear to be questioning the US-Israel relationship and whether American Jews were ready to do that too. “A lot of American Jews are. My experience is absolutely the tide is turning.” For the first time, Gallup found this year that Americans now sympathise more with the Palestinians than the Israelis. In another poll of Jewish American voters, 65% said they were pro-Israel but also critical of Israeli government policies, 52% support cutting or eliminating aid to Israel. Father and daughter Back at the dinner table, I bring up those polls with David Fink. Why does he think Americans sympathise less with Israelis? [ ](https://channel4news.substack.com/p/how-support-for-israel-in-us-is-declining) [ How support for Israel in US is declining ](https://channel4news.substack.com/p/how-support-for-israel-in-us-is-declining) Kiran Moodley · May 4 [ Read full story ](https://channel4news.substack.com/p/how-support-for-israel-in-us-is-declining) “Because the news media and the extremes of both parties are so willing to tell what I think is a false narrative.” Lauren chimes in: “Do you really think the actions of Israel have nothing to do with the shift in the sympathies?” “I think that’s very relevant,” he replies. “I just don’t think that people really have a full understanding.” Lauren again: “It sounds like you’re saying that the shift is due to how the atrocities are being described, as opposed to what the actual atrocities are.” “There have been some things that shouldn’t have happened,” David says. “I think the polling is being driven by politicians who are taking advantage of this issue.” Lauren then asks, “I’m curious what your response would be if my children were killed in an Israeli airstrike and someone said there have been some things that shouldn’t have happened?” A long pause from her father. “Any reference to my grandchildren has a very deep emotional impact on me. Well done,” he says. “I have an empathy for any civilian in war and I don’t mean to belittle those losses. The loss of any one life is a horrible thing. But it doesn’t make it a war crime and it doesn’t make it genocide.” Lauren and David cannot agree but tell me how proud they are of one another for sticking to their convictions and for agreeing to let me sit in on their conversation. I cannot thank them enough for their time, and hope their honesty informs and educates many people during such a fraught election. Abdul El-Sayed: The candidate testing the US - Israel relationship Thanks for reading our latest FourSight newsletter. Subscribe to receive free weekly newsletters from Channel 4 News. Subscribe Share Channel 4 News Leave a comment
Jaren Jackson Jr. Injury Leaves Jazz Facing a Dangerous Temptation
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A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
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Animals Starves while the Kardashians Miss the Charts Again
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Before we get going, I’d like to offer congratulations to Jonathan Funke, whose suggestion “midflicks” won the poll for what I should call straight-to-streaming films which aren’t big or cinematic enough to go to theaters but seem too expensive for a TV movie. It’s so useful a term, I just used it last week! Now I just need to add this term to my data dictionary! Okay, on to this week’s issue. We’re starting out looking at Netflix/Ben Affleck’s latest crime thriller, Animals. I’ll also look at Disclosure Day heading to Peacock (it did better than you’d remember in theaters...) and a new movie based on toys. Plus, a long-time streaming flop returns for its eighth season...will it finally chart? (No.) Will anyone at Disney care? Probably not. All that, plus another look at new shows landing on streaming on 1-Oct from Reelgood, what streamer hasn’t had a film make the Luminate charts since August, Reacher’s long run on the charts, M_onster: The Lizzie Borden Story’s_ short run, the top shows in 2026 according to Samba TV, all the flops, bombs and misses, and a whole lot more. And I mean that last part: putting this week’s issue together, I assembled OVER 25 images, most of which are bespoke looks I made just for this report. Really, publishing articles like this takes the work of writing two articles: one is the narrative and the other is making charts/graphs. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the week of October 5th to October 11th, 2026. You can find a link to my terminology here.) Subscribe Film - Netflix’s Latest Star-Studded Thriller Goes For Glory The tempting angle for anyone writing about streaming film this month, like yours truly, is to ask, “Is this why Dan Lin lost his job at Netflix?” Take Animals, the Ben Affleck-starring-and-directing, Artists Equity-produced crime thriller that opened on 9-Oct. (Kerry Washington and Gillian Anderson are also in it.) If it did really well, then one could argue that Lin has another success on his resume. If it underperformed, then it’s another example of a Netflix underperformance this year. So where did Animals fall? Kinda in the middle, but that means it’s more “not a hit” than “big hit”. On Nielsen, it opened to 12.0 million hours, and here’s how that stacks up for 2026 films so far this year: Obviously, that’s not great. It’s both under my 15 million opening bar for “fine” for a Netflix film and 20 million bar for “great” opening. It did a bit better on Samba TV, getting to first place. That’s very, very good, though again, looking at the Nielsen data, it probably means that it was a light week overall. Luminate’s data is a bit closer to Samba TV’s, tied for 17th all time for single weeks since May of 2024: To top it off, no one seemed to like it. It has a 33 on Metacritic and only a 5.7 on IMDb. Both of these numbers could have been impacted by the stories about Affleck’s comments about using AI to make the film. Given the controversy, the film might not have been as bad as the ratings suggest, but it’s also not a bullish sign. All to say…yeah, on net this film isn’t a point in Dan Lin’s favor. At this point, Netflix’s slide has been long enough—going on since February—that I’m almost tempted to lower the bar for what a “hit” is on streaming. Post-February of 2026 or so, it seems like straight-to-streaming films just haven’t hit the same heights as they did from 2022 to 2025. Before we head onto the “Quick Hits” for film, I want to shout out a fellow newsletter whose articles I’ve been loving this year, LA Material, a new LA-based news outlet. For just a highlight of my favorite articles since July... I loved this article on Ghost Town, a group on Venice that clears homeless encampments. As a Los Angeleno, obviously I adore their articles on LA parking issues. Their article on illegal parking tickets got the City Council to address the issue! Also check out their article on people parking in medians. Check out their deep dive on what went wrong with the LA Jazz Festival and how it fell apart, or what’s wrong with USC’s finances. Finally, they wrote up a voter guide on voter guides for the LA General Election. So meta! In search of a city? L.A. Material is an independent news outlet covering the people, politics, culture and glorious chaos shaping Los Angeles. L.A. Material brings you intel on the city you can’t get anywhere else. From exploring how Reddit short stories became Hollywood’s hottest commodity to reporting on the survival jobs keeping entertainment workers afloat. And answering, once and for all, why the AMC Burbank escalator is always broken. Through their newsletters, podcast, videos, events, and member community, L.A. Material is designed to help Angelenos connect to Los Angeles and each other. Sign up now for the free weekday newsletter. Quick Notes on Film Steven Spielberg’s latest film, Disclosure Day, came to Peacock on 9-Oct, and I’ll admit that, after pulling its stats, I did a pinch of a double take. As I wrote throughout my deep, deep, deep dive on summer box office/Obsession/Backrooms/IP/superheroes, oftentimes the film media discusses films as “flops” or “misses” or “hits” without clarifying what they specifically mean. Since Disclosure Day didn’t make $250 million in the US or $500 million globally, it was definitely a disappointment by Spielbergian standards, who is the highest-grossing director of all time, and arguably even more ahead in adjusted grosses. But it did make $245 million globally on a $115 million budget, so it isn’t as big of a miss as I remember. That’s still probably not enough to break even in the theatrical window, when you factor in marketing costs…but it’s close. And it grossed a lot more even in the US than some titles with about ten times more coverage. Anyways, lots of preamble to say this one only did 4.5 million hours according to Nielsen, so it did make the charts, but on the low end. Here’s how it stacks up to other Peacock titles: Apple TV (née +) followed up their “success for them” Mayday with Matchbox The Movie. This one doesn’t look like a success even for them, but at least it’s not a miss. Apple/Skydance clearly tried to take advantage of the success of Barbie at the box office—let’s greenlight all the toy properties!!!—but of course, this didn’t make it to theaters. And it stars John Cena, who, as I argued earlier this summer, NEEDS to get his movies back in theaters. Anyways, this one has mixed-to-bad numbers. It missed the Samba TV and Nielsen charts in its first week, but did make Luminate with 7.1 million hours. That’s just enough to not be an outright miss, and about half what Mayday did earlier this summer. Speaking of Apple Studio’s Mayday, it ended up lasting five weeks on Luminate, which isn’t bad for Apple TV. On Nielsen, it had a three-week run, racking up 13.5 million hours total. Again, like Matchbox, the issue is the budget; I doubt that this viewership earned enough to justify that budget. Also, to be clear, neither of these films are “midflicks”; both should have gone to theaters. Toy Story 5 is not hanging around on the streaming charts on Disney+, so it’s not as leggy as either Zootopia 2 or Moana 2, and definitely not in the same class as Encanto. (It did make all the money at the box office, so Disney is going to be fine…) The Breadwinner on Netflix (from Sony) is down to 3.9 million hours in its third week. It only lasted for one week on the Samba TV charts. Netflix’s Doing Life had a smaller-than-normal binge release curve bounce, only going to 7.1 million hours from 6.0 to start, but it made Samba TV at fifth place in its second week. The Netflix documentary, The Widower: Til’ Death Do Us Part, also had a small binge release curve bounce to 6.5 million hours, but did make a second week on Samba TV. Meanwhile, Netflix’s Unabomber fell off after two weeks on Nielsen—which is not great at all—and Demon Slayer fell off after just one week. Over on Luminate, the two smaller titles The Swan: Behind the Mirror and Kill. Bury. Print both fell out of the Luminate top ten charts. The story of library film at the first of the month is the arrival of the Ice Age films on Netflix. Now, here’s a small example of optimizing your library that even Netflix could do better. Say you want to rent/license a new film series from Disney**.** A streamer could pay a big paycheck and then drop each Ice Age film on the exact same day of the month, the fourth of October. That’s one choice. In contrast, the streamer could have released each film one week apart, and make each one a mini-event for folks watching Ice Age films. Or even roll them out monthly. Netflix opted for the former strategy, and as a result, only three of the films made the Nielsen charts this week. The “Miss of the Week” goes to Tubi’s YA-ish horror film_, R.L. Stine’s Pumpkinhead 2_, which didn’t even make the Luminate charts like Tubi films usually do, or, should I say, “used to”? Tubi films, most of which are straight-to-streaming, used to reliably make the Luminate film charts (which only covers straight-to-streaming films), but a Tubi film hasn’t made it since August. The first Pumpkinhead got 1.4 million hours last year according to Luminate. As I wrote about this film before, it seems to be a bit muddled in terms of age: too scary for young kids but probably not scary enough for older kids. Speaking of Luminate, Netflix’s latest doc about a comic (expect more docs about comedians all month), Who Is Martin Mull?, flopped, getting just 200K and 700K hours according to Luminate. Three other film/special misses belonged to Hulu, including a standup special, Jamie Foxx: Take Care of Yourself, Neon’s latest horror film, Hokum, which made $17 million in the US, and a Family Guy Halloween special. (That last one was only 22 minutes, so it’s not a surprise it missed.) Finally, another Netflix standup special missed the charts, Mojo Brookzz: I Know You Lying missed too. I can confirm last week’s misses, most notably Paramount+’s Jackass: Best and Last, MUBI’s Teenage Sex and Death at Camp Miasma and HBO Max’s Evil Dead Burn. Television - I Can’t Visualize Nothing: The Kardashians Story Normally, in the mini-dive essays that open the Streaming Ratings Report, I focus on shows that do well or, at the very least, make the charts. Why? Because as I’ve said time and again, I can’t visualize nothing like, say, the Kardashians’ TV shows. Here’s the TV debuts chart for this week with a missing spot for The Kardashians, whose eighth season just landed on Hulu:
Neonatal intensive care unit at Penn State Health Lancaster Medical Center to open Saturday
Beginning Saturday, parents with babies born at 32 weeks and above in Lancaster County will have another choice of hospitals as Penn State Health Lancaster Medical Center’s three-bed level II
Cheesecake Factory's longtime designer calls Obama White House jab 'pettiness of politics'
Trump fired back on Monday, defending his renovations and design choices while accusing Obama of failing to properly care for the historic residence.
Cheesecake Factory's longtime designer calls Obama White House jab 'pettiness of politics'
Trump fired back on Monday, defending his renovations and design choices while accusing Obama of failing to properly care for the historic residence.
Cheesecake Factory's longtime designer calls Obama White House jab 'pettiness of politics'
Trump fired back on Monday, defending his renovations and design choices while accusing Obama of failing to properly care for the historic residence.
Vocal Art Ensemble spins fairytale with ‘Bluebird’
This December, the Davis-based adult a capella choir Vocal Art Ensemble, will present a weekend of concerts designed to immerse audiences in an enchanted fairy tale.
‘Nocturne’ review: Series with strong cast weighed down by plot choices
The degree to which you enjoy “Nocturne” may depend significantly on your ability to suspend disbelief. Debuting with the first two of its 10 episodes this week on Apple TV,
Speech-based clock captures aging
Researchers found that many speech features such as pitch, timing, and word choice can help detect accelerated aging and dementia.
Health Insurance Markets Provide Fewer Choices For Enrollees
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New Paterson pantry serves freshness, health, and hope
The “supermarket experience” is back at the People’s Choice Father English Food Pantry in Paterson, N.J. Thanks to a recent two-year, more than $600,000 renovation, this essential social-services facility is brighter and more welcoming, with a larger — and fresher — food selection to benefit local families and individuals in need. On Oct. 19, Bishop Kevin J. Sweeney blessed the refurbished 4,000-square-foot food pantry. The improvements have allowed the facility to return to its approach of restoring the dignity of clients experiencing food insecurity by enabling them to shop as they would in a commercial supermarket. Guests receive “shopping points”
These Are Lifehacker's 2026 'Gift of the Year' Award Winners
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Referee Defends Controversial Decision After Badé Head Injury
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Key Israeli health committee faces tough choices as funding increase stays flat for fourth year
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Jill On Money: Sticker shock season — Picking your 2027 health plan
Knowing just how big the dollars are, it’s important to spend some time focusing on your choices.
Oct. 26, 2026: 911 dispatch tax, impact of health officer’s resignation, jail population below 200
This morning’s edition includes a reports about Bloomington’s choice between imposing higher taxes and using dispatch reserves. Monroe County’s health department remains closed to walk-in service amid a leadership shakeup. Plus, the a jail population dipped below 200.
Live Nation Entertainment (LYV) Stock Trades Near Fair Value Following Its 121% Run
Live Nation Entertainment has rewarded long term holders, and the stock now trades around US$173.44, which puts its cash generation in sharp focus. With that kind of share price level, the question is whether the current market value can be backed up by the cash flows the business is expected to produce. Over the past 3 years the stock has returned 120.7%, so a lot of future cash flow strength is already being reflected in the price. The company leans heavily on converting concert promotion...
Sleep in total darkness to maintain heart health, researchers say
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Phantom Blade Zero review: dark wuxia martial arts masters with an apprentice's execution
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Instacart Stock What Health Benefits Deal And $5 Million Settlement Mean
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READERS' CHOICE | Impact Realty Group makes its mark with Best Small Business win
A locally owned and operated real estate brokerage has been named Best Small Business in the 2026 Texarkana Gazette Readers' Choice Awards.
Cubs Have Easy Decision To Make About Jacob Webb
Coming off another dominant season as a reliable high-leverage arm, the veteran right-hander’s affordable $2.5 million club option makes retaining him a clear-cut choice for Chicago's bullpen.
South Texas Health System (@stxhealthsystem)
1 likes, 1 comments - stxhealthsystem on October 24, 2026: "Lower Your Risk, Prioritize Your Breast Health: Breast cancer is one of the most commonly diagnosed cancers among women worldwide. While some risk factors, such as age and family history, can't be changed, there are lifestyle choices that may help reduce your risk and support overall breast health. ✅ Maintain a healthy weight ✅ Stay physically active ✅ Eat a balanced, nutritious diet ✅ Avoid tobacco & limit alcohol consumption ✅ Talk with your doctor about hormone replacement therapy Just as important, don't delay routine checkups and recommended screenings. When breast cancer is detected early, treatment is often more effective and outcomes can be significantly improved. For more on breast cancer, watch the latest South Texas Health Minute on ValleyCentral.com at the link in our bio.".
Philadelphia Phillies May Have No Choice With Alec Bohm
Meghan Markle responds to child pornography allegations against father
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Friedman Floats a Theory on Larkin’s New Jersey Choice
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Liev Schreiber has choice words for Apple TV reporter
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Poll: Low-information voters have turned hardest against Trump and the GOP
In 2024, the voters who knew the least about politics were some of Donald Trump’s strongest supporters. A Data for Progress poll released just before the election found Americans who didn’t consume any news at all said they’d vote for Trump over Kamala Harris by a 20-point margin, 60%1 to 40%. In February, we reported that many of these voters had soured on Trump. Voters who couldn’t name the party in control of Congress moved away from Trump at about twice the rate as high-information voters. But approval isn’t vote choice. With the midterms less than two weeks away, it is worth asking if these voters are turning against the president’s party in federal elections, too. In our October Strength In Numbers/Verasight poll, conducted Oct. 13–19 among 2,028 U.S. adults, we asked respondents two factual questions about politics: which party has the most members in the House, and which has the most members in the Senate. I classified anyone who got at least one of these questions wrong as “low-knowledge.” About 30% of adults miss at least one question, including 25% of 2024 Trump voters, 22% of Harris voters, and more than half of people who didn’t vote in 2024. In this article, I do two things with this data. First, I repeat my February analysis and compare how these two groups feel about Trump’s job as president; then I look at each group’s voting behavior in the upcoming House midterms. Register for free to read the rest of this piece.
You Are What You Eat: An Alternative to MAHA for Healthy Food and Fewer Chemicals
CAP’s science-based plan would remove corporate and political influence from regulatory agencies, guarantee food safety, protect Americans from harmful chemicals in everyday products, and empower families to make healthy choices.
MU still discussing possible hotel, entertainment district and student housing to enhance game-day experience
COLUMBIA, Mo. (KMIZ) The University of Missouri is still exploring several commercial development options on university-owned property as it looks to enhance the game-day experience and provide more amenities for students, faculty and staff. UM System President Mun Choi said during a faculty council meeting on Thursday that the university is considering an entertainment district,
The Collaboration Economy: Independent Contractors Are Essential to Small Business Growth - Small Business & Entrepreneurship Council
SBE Council Small Business Check Up Survey: Nearly half of small business employers use independent contractors, highlighting their role as a force multiplier for growth and the importance of policies that protect flexibility, choice, and entrepreneurship. By Karen Kerrigan – Independent contractors are an essential part of America’s economy, providing specialized expertise, flexibility, and the […]
Your Choice, Your Voice: how taxes and tariffs impact Maine businesses
Michael Knight is the co-owner of Smiling Hill Farm and Hillside Lumber. He said the tariffs are not impacting his product, as much is they're impacting other business costs.
Patriots Playmaker Named Potential Trade Chip by FOX Sports
The NFL trade deadline is approaching, and various writers are listing their top candidates who could be traded for their respective teams. For the New England Patriots, Fox Sports’ Henry McKenna had an interesting name. Running back TreVeyon Henderson was his choice for this article. Henderson has 49 carries for 194 yards and a touchdown […] The post Patriots Playmaker Named Potential Trade Chip by FOX Sports appeared first on HEAVY.
Small businesses are getting clobbered by health insurance costs
Health insurance costs have risen for small business workers, who face higher family coverage costs and fewer plan choices than larger firms.
Small businesses are getting clobbered by health insurance costs
Health insurance costs have risen for small business workers, who face higher family coverage costs and fewer plan choices than larger firms.
'Today's' Craig Melvin crowned People's sexiest morning show host
'Today' co-anchor Craig Melvin reluctantly accepts the crown for sexiest morning show host in People's Readers' Choice Poll.
Introspection required if EU Inc fails, says start-up lobbyist
European start-ups have a new voice in Brussels. Startups for Europe, created from the merger of lobby groups Allied for Startups and the European Startup Network, is hoping to harness the momentum behind EU-Inc, a campaign that united start-ups and investors behind demands for a new pan-European company regime.At a launch event for the new association in Brussels on October 1, the mood was remarkably upbeat compared to a typical Eurobubble gathering, more Silicon Valley than Schuman roundabout.When asked whether this reflects a feeling that Europe is on the right track, chief executive Serena Borbotti-Frison said it’s a “scary” moment as the continent looks to boost its competitiveness amid a new technological arms race.“What is at stake is quite intense, and the way we can answer is by delivering, but also with hope,” she told Science|Business. “It’s what our industry does. It’s not about identifying a pain point and then saying it’s too hard.”For many in the start-up community, that sense of hope is dwindling. In March, the European Commission presented its proposal for EU Inc, naming its initiative after the grassroots campaign.EU Inc was meant to be a gamechanger: the ability to incorporate within 48 hours for less than €100 and scale up across Europe; a harmonised stock option regime enabling start-ups to compete for talent; and simplified insolvency procedures for innovative start-ups to reduce the cost of failure.However, haggling by EU governments has raised concerns that EU Inc will be stripped of the very features, including stock option harmonisation, that are meant to make it attractive for companies.“I fear we are proving to ourselves that the model doesn’t work,” Borbotti-Frison said of the policymaking process. “Everyone agrees we should have EU Inc. Everyone agrees it’s hard to scale and we need to scale to answer the competitiveness [challenge], and still we cannot deliver? [. . .] What does that say about ourselves?”The Commission has made EU Inc a cornerstone of its single market reform, and has agreed with the European Parliament and the Council of the EU to target an agreement by the end of 2026. However, several points are currently holding up an agreement, including national rules around employee participation in management decisions, and the provision that employee stock options always be taxed at the point of sale. Some EU governments have reportedly pushed back on the Commission’s choice of legal basis, contending that anything related to taxation requires unanimity in the Council.Trade unions have also protested against EU Inc, fearing it will be exploited by companies looking to undermine workers’ rights.“If this doesn’t work, it’s introspection time, on the way our institutions work, maybe the way our lobbies work, and maybe the way the cooperation between them works,” Borbotti-Frison said.“Is it in the national interest? Is it a gap between political will and technical ability to operate? Is it speed? I don't know, but something needs to be fixed.”Ahead of last week’s European Council meeting, EU-Inc campaigners tried a new strategy: appealing directly to EU presidents and prime ministers. In an open letter, they urged EU leaders to “step in and give your negotiating teams a clear mandate to change course and reverse their objections to the Commission’s original proposal.”Lessons from EU-IncLike its predecessors, Startups for Europe will represent national start-up associations, but it is also targeting investors. The founding sponsors are venture capital firm Atomico and EQT, the investor selected earlier this year to manage the €5 billion Scaleup Europe Fund.It also wants to harness the knowledge and cross-border experience of European success stories. “Take the list of the 100 biggest unicorns in Europe. We are speaking to all of them,” Borbotti-Frison said. The association plans to publish a full list of supporters following the Slush tech conference in Helsinki in November.Andreas Klinger and Simon Schaefer, two key figures in the EU-Inc campaign, are both on the board of the new association, and Startups for Europe wants to take the lessons from their campaign.What was unprecedented about EU-Inc was “how rooted it was, and how strong it was in bringing everyone on board behind one clear pain point and solution to fix it,” Borbotti-Frison said. “This is an inspiration for us, and then we need to turn it into something more systematic, more bridged in Brussels, more connected to the policymaking game, and to scale it.”If it’s possible to unite such a broad coalition, it’s because the European start-up ecosystem is now mature, she said. “Maybe it was not ten years ago. Maybe it was not five years ago. But now, it’s mature to speak with one voice.”Open and liberal EuropeThe association plans to campaign on files related to three “pain points,” Borbotti-Frison said: “start and scale in Europe, fundraise and invest in Europe, and making Europe the most innovative continent.”As well as EU Inc, she cited public procurement, the EU’s simplification push, the Savings and Investments Union, and files related to AI adoption and technological sovereignty as priorities for the coming months.What these files have in common is that they relate not to subsidies but to the framework conditions influencing the availability of mostly private, or in the case of procurement, public, funding.Related articlesEmployee participation disagreement delays MEPs’ vote on EU IncCommission urges EU governments not to water down EU IncEU’s ‘ultra-fast’ €5B scale-up fund is set up to win, says its fund managerThe budget dispute over the next Horizon Europe programme will also impact start-ups, which are supported notably through the European Innovation Council. But EU innovation funding is a drop in the ocean compared to venture capital and public procurement budgets.“If competitiveness and innovation are a priority, then the [EU budget] should reflect it,” Borbotti-Frison said. However, she added that the main question is not how much public money is invested, but “how do we create the right conditions for the market to solve the problem?”The Scaleup Europe Fund mixes both approaches, using €1 billion in EU funding to crowd in private investors and address Europe’s lack of large-scale, late-stage growth funds. “It’s a proof of concept. Ideally, then the market will do it itself,” Borbotti-Frison said.Startups for Europe is also focused on bringing an alternative political narrative. Amid competing visions for open, global markets on the one side and a protectionist Europe on the other, it wants to offer “a third voice, to say we can be proudly European and build a strong continent in a liberal economy, open to the world, and global.”It can be tempting, when thinking about how Europe can better support innovation, to look across the Atlantic. But while it’s important to compare statistics to see where Europe needs to catch up, that’s where the comparison should stop, Borbotti-Frison said. “On everything else, we need to do it our own way. We don't have the same history. We don't have the same political model. We don't have the same way of life.”Many of the key files that could benefit the start-up community, including EU Inc and the Savings and Investments Union, rely on closer integration within Europe, making it easier to operate across borders.While the Commission has made deepening the single market a political priority, support at national level is more precarious. The coming months will see pivotal elections in Spain and France, while the German government has also been coming under pressure domestically. In each country, far-right parties have been gaining ground.When asked if she was concerned the political situation could jeopardise this progress, Borbotti-Frison responded: “Of course. I would be lying if I said I wasn’t.” However, she continues to believe that cooperation is the only way forward. “Doing it alone is not the solution. It’s also not who we are, it’s not the model we are building, and it’s not the scale we need.”
Mississippi Medicaid open enrollment underway as members review health plan options
Mississippi Medicaid members have until Dec. 15 to review their health plan options, including a newer choice offering benefits beyond traditional medical care.
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CNN Poll of Polls: Choice for Congress
CNN tracks a “generic ballot,” a type of survey question that asks voters to choose which party they prefer in the US House of Representatives.
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How Investors May Respond To PENN Entertainment (PENN) Massachusetts Slot Debate
PENN Entertainment has opposed proposed legislation in Massachusetts that would permit historical horse racing devices that function like slot machines. The company argues these terminals could shift up to US$216 million in annual gaming revenue and affect an estimated 1,074 casino jobs across the state. The company has recently reported earnings that exceeded consensus estimates, with an average surprise of 72.86% over the last two quarters. This highlights an operating profile where...
TWICE’s Jihyo Departs JYP Entertainment After 21 Years + Launches New Agency EMITHAUS
Jihyo is beginning a journey with a new company! On October 21, the TWICE member took to her Instagram to share the following handwritten letter: Hello, this is Jihyo. I’m writing today because there’s something I’d like to share with you. After 21 years, my journey with JYP Entertainment, which began when I was just a child, has come to an end. Trying to put 21 years into just a few words is harder than I thought it would be.From childhood through my teenage years and into adulthood, I’ve spent most of my life at JYP.There were good days and difficult ones, but one thing I know for certain is that every one of those moments has shaped who I am today.I want to express my sincere gratitude to everyone at JYP who has been by my side and helped me grow over the years.I will always cherish the time we shared and the memories we made together. To me, independence is not so much a conclusion about the time that has passed, but a choice about how I want to live going forward.As the first step in this new chapter, I have established my own company, EMITHAUS.Just as “EMIT” means to “express or release,” I hope this will be a place where I can freely explore and bring to life even the possibilities within me that I have yet to discover.As I step away from a familiar environment and begin working in new ways, I will approach every decision and every endeavor with even greater thoughtfulness and responsibility. I also want to make it clear that this decision does not mean saying goodbye to the team I’ve been part of for so long.TWICE is an irreplaceable part of my life.Just as I cherish all the years we’ve shared, I look forward to all the moments still ahead of us.I will continue to stand on stage with my members and keep building more memories together for many years to come. Above all, I want to thank ONCE for believing in me and standing by my side for the past 11 years.I know that watching someone grow and change through so many stages of life and continuing to support them along the way is never something to be taken for granted.Thank you for giving me the courage to keep moving forward through your unwavering trust, love, and support.I will continue to fill the years ahead with choices and efforts that stay true to who I am and keep growing as an artist who lives up to all the love and support you’ve given me. Thank you. https://www.instagram.com/p/DevZGTkmTD2/ Jihyo is the third TWICE member to officially leave JYP Entertainment following Jeongyeon and Chaeyoung. Wishing Jihyo all the best on her new start!
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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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
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AMC Entertainment Holdings has launched AMC Movie Trivia Game Show, a free mobile trivia app created with Hoyt Games and puzzle designer David L. Hoyt, featuring daily movie themed puzzles and AMC Stubs integration. The app shifts part of AMC Entertainment Holdings' customer interaction into mobile gaming and extends the loyalty program into everyday engagement beyond theater visits. The next point of consideration is how AMC Entertainment Holdings' investment narrative might be influenced...
PENN Entertainment (PENN) Slides 16% In A Month, Is The Discount To Fair Value Warranted?
PENN Entertainment (PENN) has been drawing attention after a steep share price slide, with the stock down 16% over the past month and 27% over the past 3 months. The recent slide comes after a mixed stretch for PENN Entertainment, with the share price roughly flat year to date, while the 1 year total shareholder return has declined 8.1% and the 5 year total shareholder return has fallen about 80%. This points to fading momentum and a market that is still reassessing the company’s risk and...
Does Debt Refinancing Change The Bull Case For Live Nation Entertainment (LYV)?
Live Nation Entertainment has issued US$730 million of 7.125% senior notes and €600 million of 6.125% senior notes, both due 2032, with guarantees from key restricted subsidiaries and plans to redeem its 6.500% senior secured notes due 2027. The refinancing reshapes Live Nation Entertainment's debt profile by swapping secured 2027 obligations for longer dated unsecured bonds, which can influence interest costs, covenant flexibility, and how much cash stays available for venue investment and...
Enquirer announces Oct. 16 athlete of the week winners
Cincinnati Enquirer readers made their choices for the Oct. 16 Beacon Orthopaedics and Sports Medicine Athletes of the Week.
Sell Rating Could Be A Turning Point For Sphere Entertainment Stock (SPHR)
Argus recently cut its view on Sphere Entertainment to a SELL rating, citing weaker scores on management quality, growth potential, and valuation, while assigning only medium marks to financial strength and the industry backdrop. The downgrade highlights a key tension in Sphere Entertainment’s story: an experience-heavy, capital-intensive model that faces questions about execution discipline and long-run profitability. This raises the question of how Sphere Entertainment's investment...
Music star who attended Berklee College hits Trump with 3-word insult onstage
A Grammy-winning singer with a Berklee College background used some choice words about President Donald Trump during a recent performance.
NFL fans question Donald Trump’s choice of Week 6 game
Ale_Mi/Depositphotos Donald Trump cancels NFL game visit President Donald Trump was reportedly planning to attend the Pittsburgh Steelers game against the Tampa Bay Buccaneers on October 18, 2026. CNN correspondent Kristen Holmes first reported the expected visit on October 13. The game was scheduled for a Sunday afternoon kickoff at Raymond James Stadium in Tampa,…
Caesars Entertainment (CZR) Could Be 8% Undervalued As Cash Flow Hopes Build
Caesars Entertainment (CZR) is back in focus after its recent share performance, with the stock closing at US$29.25. Investors are weighing this price against mixed return figures across different time frames. Short-term momentum for Caesars Entertainment has been soft, with the share price return down over the past month. However, the year-to-date share price return of 24.15% and 1-year total shareholder return of 34.61% contrast sharply with a 5-year total shareholder return that is still...
Vance and El-Sayed trade barbs in Michigan
Vice President JD Vance and Michigan Democratic Senate Candidate Abdul El-Sayed had choice words for one another while on the campaign trail in Michigan.
Healthy lifestyle choices may help lower breast cancer risk
The American Cancer Society estimates that 85% of women diagnosed with breast cancer have no family history of the disease, underscoring the importance of understanding risk factors beyond genetics.
Is Melco Resorts & Entertainment (MLCO) Undervalued Following Its REM Hotel Opening And Buyback?
Texas Capital Securities has zeroed in on Melco Resorts & Entertainment (MLCO) after highlighting drivers such as the REM hotel completion at City of Dreams Macau and a larger share repurchase program. Recent trading shows mixed momentum for Melco Resorts & Entertainment, with a 1-day share price return of 2.86% and a 7-day gain of 3.60%. These gains are offset by a 30-day share price decline of 6.90% and a 90-day drop of 20.73%, as the market weighs the impact of property disruptions against...