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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:
Watch the newest commercials from Ninja, Meta Muse, AT&T Business and more
Ninja shows off its HydraSense Intelligent Water Filtration System in a spot starring Tom Brady.
Call of Duty’s Metacritic celebration highlights a bizarre Xbox problem — nobody is reviewing games on Xbox
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High metal exposures after wildfires may affect lung function
After the Maui wildfires, researchers found a link between participants exposed to higher levels of metal mixtures and worse lung function.
Nvidia, AMD Get Their Jollies Hooking Up With Meta's Muse
Nvidia and AMD separately announced deals with Meta Platforms to power the social media company's AI endeavors. Nvidia stock rose.
Exclusive: Meta director Rohit Patel departs after 8 years to take on Microsoft Office Suite
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Why are Meta and TikTok censoring women’s health content?
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Giving quantum computers a way to pick up where they left off
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John Goblikon wants to fire his ghostwriter. The problem? He is his ghostwriter
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I Tested Every Major AI Agent for a Day. Here’s the Best One
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Vice President holds rally at Kansas born business
United States Vice President JD Vance visits Haas Metal Engineering Inc. ahead of midterm election.
Moving past outdated models: a seminar exploring religion and public health
Editors of the Handbook on Religion and Health: Pathways for a Turbulent Future Gary Gunderson and Teresa Cutts (“TC”), visited the Bloomberg School of Public Health on Thursday, Oct. 22 to give their talk “Watersheds: Moving beyond Downstream/Upstream Metaphors to Advance Public Health.”
The vaginal microbiome may relate to more than reproductive health
Researchers analyzed vaginal microbiota, metabolites, and psychological questionnaire scores in 105 young Italian women and found associations between microbial community types and reward responsiveness, motivational drive, and behavioral inhibition. Exploratory models identified statistical links involving vaginal GABA and valine, but the cross-sectional study could not establish whether microbiome changes influence psychological functioning or the reverse.
iPhone AI Images and Edits Now Have a Hidden Watermark
Images generated with Image Playground and some photos edited with Apple Intelligence will now include a SynthID watermark. Apple announced plans to add SynthID support back in June, and the feature is live in iOS 27.2. SynthID is a Google-created tool that identifies AI-generated content. It watermarks images and videos at the pixel level instead of adding metadata. Google says it does not affect image quality and is meant to survive cropping, filters, and compression.
MSG Entertainment Paid New Legal Chief $2.6M in First Three Months
Allen Lo, the former Meta deputy general counsel, took over as MSG Entertainment's chief legal officer in March, months before the company was hit with litigation over a massive data breach and launched a defamation suit against Wired.
Meta Plans To Raise Up To $95 Billion In Equity To Power AI
Meta stock was lower premarket after the tech giant announced plans to raise $95 billion in equity.
One Radio Source In Our Galaxy Has Been Producing Signals For At Least 20 Years That No One Can Explain
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Meta looks to raise up to $95 billion from stock sales for AI build out
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How to Manage Symptoms of Heart Failure
(Feature Impact) Americans are facing a growing health challenge, with 1 in 4 adults at risk of heart failure, according to the Heart Failure Society of America. Additionally, approximately 6.7 million U.S. adults who are 20 years old or older are currently living with heart failure, and that number is projected to reach 8.7 million by 2030. googletag.cmd.push(function() { googletag.display('JGFI_Article_300x250'); }); Managing heart failure is a significant expense to the U.S. healthcare system, costing the nation approximately $40 billion in 2020 and expected to increase to approximately $142 billion a year by 2050.If you (or a loved one) are living with the condition, consider these tips to help manage it.Adhere to the Treatment and Follow-Up PlanOngoing outpatient care is important when managing heart failure. Understand the treatment plan provided by your healthcare team, make diet and lifestyle changes, take medications as directed and keep recommended follow-up appointments.Pay attention to changes in symptoms and communicate with your healthcare provider if treatment does not seem to be working as expected. If their conditions are left unmanaged, patients can experience a range of heart-failure-related symptoms such as shortness of breath, fatigue, buildup of fluid and more.Understand Challenges with Diuretic TreatmentDiuretics help the body remove excess fluid and are commonly used to treat swelling, or edema, associated with heart failure. Your provider may try different diuretics, sometimes referred to as “water pills,” to manage your heart failure symptoms. However, intravenous (IV) diuretic therapy may be required for some patients if symptoms continue.Ask About Treatment Options Before IV Care Is NeededFor some adults, a healthcare provider may consider recommending an at-home, non-oral diuretic option prior to escalating to IV therapy.For example, ENBUMYST™ (bumetanide nasal spray) is a prescription diuretic used in adults to treat edema associated with congestive heart failure. It’s administered as a nasal spray for short-term use to manage excess fluid with the goal of transitioning to oral diuretic therapy when appropriate.Talk with your healthcare provider to learn more and visit enbumyst.com. Read the full Prescribing Information and Patient Information.Photo courtesy of Shutterstock googletag.cmd.push(function() { googletag.display('JGFI_Article2_300x250'); }); Important Safety InformationWhat is ENBUMYST?ENBUMYST is a prescription medicine used in adults to treat swelling caused by excess fluid in the body (edema) from congestive heart failure, liver disease, and kidney disease.What is the most important information I should know about ENBUMYST?ENBUMYST is a diuretic that helps your body remove fluid. Losing too much fluid can cause dehydration, low blood volume, and increase the risk of blood clots. Blood abnormalities may include decreased salts (electrolytes), and increased nitrogen, glucose and uric acid. The risk of these abnormalities is higher in elderly people, those using higher doses, or those who do not get enough electrolytes by mouth.You should not use ENBUMYST if you have severe electrolyte loss. Tell your healthcare provider if you experience unusual thirst; dizziness or lightheadedness; weakness or tiredness; fast heart rate; dry mouth or tongue; sudden pain; redness or swelling in your joints; pain, swelling, redness, or warmth in your leg; shortness of breath or fast breathing; high blood sugar; dark urine; pale, tight, cool or clammy skin; muscle cramps; confusion.Do not use ENBUMYST if you have low or no urine production or are allergic to bumetanide or to any of the ingredients in ENBUMYST.Before using ENBUMYST, tell your healthcare provider if you have low electrolytes, are on a low-salt diet, have diarrhea, diabetes, nasal problems such as a runny or stuffy nose or polyps, a history of nasal injury or surgery, are or plan to become pregnant, are or plan to breastfeed.Tell your healthcare provider about all the medicines you take, including prescriptions, over-the-counter medicines, vitamins, and herbal supplements.ENBUMYST may cause serious side effects, such as worsening kidney function and ringing in the ears or hearing loss.The most common side effects of ENBUMYST include dehydration, headache, muscle cramps, dizziness, low blood pressure, nausea, and abnormal brain functioning with certain liver problems.These are not all the possible side effects of ENBUMYST. Talk to your healthcare provider for more information.Call your healthcare provider for medical advice about side effects. You may report side effects to FDA at 1-800-FDA-1088.US-ENBU-2600110 googletag.cmd.push(function() { googletag.display('JGFI_Article3_300x250'); });
ESMO: Roche touts ‘convincing’ phase 3 KRAS data after win over rivals
Roche has shed more light on its investigational KRAS G12C inhibitor's phase 3 victory over Amgen’s Lumakras and Bristol Myers Squibb’s Krazati. The open-label Krascendo 1 trial enrolled 338 people with previously treated KRAS G12C-mutated non-small cell lung cancer (NSCLC). Patients who had already received a KRAS G12C inhibitor or pan-KRAS/RAS inhibitor were excluded from the trial. Participants received either divarasib once daily, Lumakras once daily or Krazati twice daily. Roche announced back in July that divarasib had demonstrated statistically significant improvements in progression-free survival (PFS) and overall survival (OS), meeting the trial’s primary and key secondary endpoints. But the Swiss pharma had been holding back the detailed data until now. At the European Society for Medical Oncology (ESMO) Congress in Madrid, Roche revealed that median OS for the 167 patients who received divarasib was 17.7 months, compared to 12 months for the 171 patients who received Lumakras or Krazati. The benefit was similarly clear when it came to median PFS, which stood at 9.8 months versus 5.7 months, respectively. A total of 44% of patients receiving divarasib were alive without disease progression at one year, compared to 24% of the control group, according to Roche’s presentation. It was a similar story for the objective response rate, which came in at 58% for divarasib versus 32% for the control group, while median duration of response was 11.9 months versus 6.9 months. Stefan Frings, M.D., Ph.D., deputy chief medical officer at Roche Pharma, told Fierce that the data made for a “very comprehensive, strong package, which should be convincing to health authorities.” “It’s an important advance for patients with lung cancer,” Frings said in an interview at a Madrid hotel during the conference. “It's a second-line setting, and patients who receive divarasib benefit compared to the current first-generation KRAS G12C inhibitors by having far longer overall survival,” he continued. “They live longer. They have better progression-free survival, better response rates, and with a safety profile which is—if [anything]—even better,” he said. According to Roche, 4.8% of patients receiving divarasib discontinued treatment due to treatment-related adverse events, compared to 11.7% in the control group. Serious treatment-related adverse events were also less common with divarasib, at 7.8% versus 15.2%. Roche’s confidence in divarasib had been building even before this phase 3 success. The candidate had already shown better potency and selectivity than the incumbent KRAS G12C inhibitors Krazati and Lumakras in preclinical tests. After cross-trial comparisons suggested that the edge translated into better clinical outcomes, Roche axed a study comparing divarasib to the chemotherapy docetaxel and went toe-to-toe with Lumakras and Krazati. “We designed the drug on purpose with higher potency and better selectivity,” Frings explained. “So, based on preclinical models, we clearly knew it would be superior to the first generation.” “It’s honestly not so frequent that pharma companies go head-to-head,” he added. “But if you want to make a point, if you want to convince payers, prescribers and patients … then a head-to-head win is rather rewarding.” While Amgen and BMS reached the regulatory finish line first for KRAS G12C-mutated, locally advanced or metastatic NSCLC in 2021 and 2022, respectively, they have struggled to capitalize on their head start. Krazati brought in $55 million for BMS in the second quarter, while Lumakras delivered $111 million to Amgen. For its part, Roche is aiming for peak divarasib sales of 1 billion to 2 billion Swiss francs ($1.2 billion to $2.5 billion), according to Frings. The Big Pharma is currently recruiting patients into a phase 3 trial comparing divarasib plus Keytruda against Keytruda plus chemotherapy in previously untreated advanced or metastatic nonsquamous KRAS G12C-mutated NSCLC. Roche has previously suggested that sales in metastatic disease would account for most of the forecast. Frings was tight-lipped on the exact timeline for a regulatory filing but said the Swiss pharma is “certainly keen to get this to as many patients as possible around the world.” Roche has more RAS drugs coming up behind divarasib. The pharma has already launched phase 1 trials of a pan-RAS inhibitor called RG6505 and a KRAS G12D inhibitor dubbed RG6620 in solid tumors. Roche’s partner Chugai Pharmaceutical is also testing a pan-KRAS inhibitor called AUBE00. Roche has made a “deliberate effort” to test a range of RAS drugs, Frings said. “If you have many rare mutations and you are scrambling to find sufficient patients, a pan-RAS inhibitor makes a lot of sense,” he explained.
New Instagam app on Apple TV brings reels, long-form video and live shows
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When a teen posts a selfie, how much filter is 'too much' filter?
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Physicists Hold A Positron Captive For Months, Odd Correlation Found In Reincarnation Reports, And Much More This Week
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AI image generator test: Canva Craft vs. ChatGPT, Gemini, Meta Muse
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The connection between diabetes, cardio-kidney-metabolic health
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Senator says planned Meta commercial terms update could harm US businesses
WASHINGTON, Oct 23 (Reuters) - US Senator Marsha Blackburn, a Tennessee Republican, on Friday raised concerns about Facebook parent Meta Platforms' plan to update its commercial terms, saying it coul...
Political ads on Facebook, after the Meta ban
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Meta delays new business terms after publisher pushback on AI scraping
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Commissioner Lahbib visits Ottawa for discussions on preparedness for health emergencies
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Goldman Sachs CEO David Solomon on AI’s economic impact: ‘There’s very little that we do where we need frontier models’
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Sixth in Kona: Sam Long's Performance and the Science Behind the Build
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Three Of The Earth’s Five Mass Extinctions May Not Have Been What We Thought
While more gradual processes may reduce how dramatic these events look in hindsight, it also makes human-induced extinction stick out more severely.
Bridging Climate Science and Cardiometabolic Health from Radiative Forcing to Disease Risk
Cardiovascular disease remains a dominant cause of global morbidity and mortality, yet conventional prevention...
Postpartum recovery may influence long-term maternal aging and health
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Meta's board thinks keeping Zuckerberg at its California office is key
The tech giant's effort to dissuade its CEO from relocating reflects a common belief that the best work happens when everyone is together in person.
Pedal to the Metal: NASA’s Psyche Heads Toward Asteroid Belt
With a successful Mars gravity assist in its rearview mirror, NASA’s Psyche spacecraft has fired up its thrusters and is accelerating to the metal-rich
Goldman Sachs spends big to give small businesses an AI boost
The Wall Street giant is committing $500 million to expand its 10,000 Small Businesses program and launch an AI institute, partnering with Google, Meta, OpenAI and Anthropic to bring AI know-how to Main Street. NBC's Christine Romans spoke exclusively with Goldman Sachs CEO David Solomon and with small businesses figuring out how to make AI work for them.
How To Tame An Antimatter Particle: Physicists Hold A Positron Captive For Months
It might not sound like a big deal until you remember what happens when antimatter meets matter.
How a Legal Backlash Against Big Tech Is Forcing Big Changes
A series of lawsuits has created a new de facto regulatory regime as courts order companies like Meta and Google to change their business practices — and pay up.
How Systems Biology Is Adopting an Engineering Framework
Everything from metabolic pathways optimized for efficiency to brain blood vessels designed as protective shock absorbers demonstrates multi-level planning.
Metamora, Creve Coeur look to expand business development
East Peoria has already purchased the land on Route 24 and Centennial Drive to expand housing development, while Metamora is developing housing, and possible business development, on 135 acres on Route 116.
Bruce Willis, We May Have A Job For You: Scientists Simulate Nuking An Asteroid, And The Results Are Pretty Encouraging
If an asteroid were heading in our direction, a nuclear blast may not be such a bad idea after all.
Istios Health Expands Clinical Research Network into Texas Through Kidney Care Associates Partnership
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Ryan Gootee General Contractors grows from historic, passion projects
A general contractor in Metairie has become a go-to company for handling historic projects in New Orleans, including work on the St. Louis Cathedral.
On Main Street, Goldman Sachs makes a big bet on AI
The Wall Street giant says it’s teaming up with OpenAI, Google, Meta and Anthropic to help small businesses embrace artificial intelligence.
Meta's Mark Zuckerberg weighed leaving California over billionaire tax
Meta CEO Mark Zuckerberg considered leaving California. He's staying on after Meta offered him a new class of shares.
Meta Slams New Mexico Business Climate After $25 Billion Verdict
Meta’s chief legal officer said Wednesday (Oct. 21) that it is “all but impossible to do business” in New Mexico after a court ordered the company to pay
Meta to pay historic $25 billion in New Mexico deception case
Meta Platforms Inc. was ordered to pay a groundbreaking $25 billion civil penalty to the state of New Mexico in a consumer deception case spurred by the Cambridge Analytica scandal.
James Webb telescope discovers surprising trove of metals around the Milky Way's supermassive black hole
New observations from the James Webb Space Telescope reveal a concentration of heavy metals near the Milky Way's central black hole. The discovery deepens a mystery about why our black hole behaves the way it does.
Meta earnings: Mark Zuckerberg says Muse AI app hits over 10M users
CEO Mark Zuckerberg announces 10M users for Meta's Muse AI app since September. Meta's stock was up after its third-quarter earnings report.
Meta ordered to pay New Mexico $25 billion over Cambridge Analytica breach
A judge has ordered Meta to pay New Mexico $25 billion after a jury found the company liable for deceiving users about privacy and content moderation on Facebook.
10X Health Launches Metabolism Genetic Test
A saliva-based test provides genetic insights to help inform personalized nutrition and weight-management plansSCOTTSDALE, Ariz., Oct. 21, 2026 (GLOBE NEWSWIRE) -- 10X Health, a leader in personalized health optimization and performance-driven wellness solutions, today announced the launch of its Metabolism Genetic Test. For individuals looking to optimize their wellness routines, 10X Health’s Metabolism Genetic Test gets at the root of why and how your body responds to food, exercise and appeti
TikTok pivots ad dollars to YouTube and Pinterest after Meta ban
Meta doesn't want TikTok's ads. ByteDance is putting its money toward YouTube and Pinterest instead.
Meta tells Brazil's electoral court it gives equal treatment to Lula and Flávio Bolsonaro
Meta said it had "completed the implementation of measures to comply with the directive from the electoral court."
Longtime Meta policy head Joel Kaplan is leaving
Joel Kaplan, Meta's chief global affairs officer and a key bridge to Trump, will leave after the midterms and a transition period.
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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SPRINGFIELD, Ore. — PeaceHealth mourns the passing of Sister Monica Heeran, a visionary leader who rose through the ranks of Sacred Heart Medical Center in Eugene and would shape healthcare throughout the Northwest and beyond.Sr. Monica died Oct. 9 at St. Mary on the Lake in Bellevue, Wash. She was 95.She boldly led PeaceHealth through a period of great innovation, guided by her faith, compassion and generosity toward those in need.
Meta updates business terms, sparking AI training fears among news outlets
Tech giant’s revised rules could allow automated scraping across entire websites, legal experts warn
Ray-Ban Meta smart glasses found recording audio without wearers' consent
The bug is fixed, but privacy concerns remain.
Meta Terms Taking Effect Oct. 30 Let It Scrape Business Websites for AI Training
Meta's updated commercial terms, effective October 30, let it crawl websites tied to business accounts and use the content to train AI…
Scientists Kept Finding The Same Mysterious DNA In Their Samples. The Marine Microbe It Belongs To Has The Smallest Genome Ever Identified
This tiny marine organism may demonstrate just how little genetic material a cell needs to survive.
Can social media bans protect young people's mental health? Early research suggests that bans aren't the answer
The year 2026 has been an expensive one for social media platforms. Since March, YouTube and Meta, the parent company of Instagram and Facebook, have settled or paid out in multiple lawsuits totaling ...
Spending More Time With Your Cat May Have Positive Mood Benefits That Correlate With Cat And Their Owner's Hormones
Owning a dog has been shown to consistently offer a range of benefits, but less can be said about cats. This new study may help explain why.
Big Tech and Big Business are spending millions to block progressives on the California ballot
Groups funded by Meta, Google, and cryptocurrency billionaires have spent millions trying to sway voters, especially in races with two Democrats on the ballot
‘LaPolitics’ Q&A: Scrutinizing the costs of powering Meta
LaPolitics: The Louisiana Public Service Commission recently voted down its administrative law judge’s order that would have required Meta to disclose how it calculated job projections and electricity needs for its Richland Parish data center project. Is the PSC overruling an ALJ unusual? Logan Burke, executive director with the Alliance for Affordable Energy: The commission […]
This Overlooked Part Of Your Stress Hormones May Affect Metabolic Health
How the body stores fat goes way beyond calories and macros.
Nigeria: ICRC-supported health facilities see 18 per cent rise in malnutrition cases
In north-east Nigeria, admissions for malnutrition have risen by nearly a fifth in a single year at six health centres and four hospitals supported by the International Committee of the Red Cross (ICRC). They went from around 17,000 cases between January and September 2025 to almost 20,000 cases over the same period this year.
AI study of 101,000 patients links brown fat to heart and mental health
In a retrospective analysis of PET-CT records from 101,243 patients, researchers found that detectable brown fat was associated with lower prevalence of cardiometabolic and psychiatric conditions, while greater activity, particularly in the axillary region, was linked to more favourable metabolic outcomes. Medication screening identified losartan, which increased brown fat thermogenic activity in laboratory experiments and energy expenditure in mice, although its effects on human brown fat remain unproven.
Meta confirms smart glasses were recording without being activated
The company has since fixed the issue.