"Software security researchers used Anthropic's Claude AI platform to hack OpenAI's ChatGPT tool," reports CBS News.

Using Claude, "On July 25, 2026, we chained two critical vulnerabilities to compromise multiple OpenAI employees' ChatGPT accounts," write researchers at security platform Hacktron AI. "With these accounts, we could then access internal OpenAI repositories, and potentially many other connectors... Until two months ago, any user or OpenAI employee logging into OpenAI's own help forum could have had their ChatGPT and Codex accounts taken over. Since people can connect various services to Codex and ChatGPT, the scope of what we could theoretically access was huge, including GitHub, Slack and emails."

The exploit chain included Debian 12, which (with Debian 13) had not received a security-relevant backport for its image-processing pipeline, and Discourse's Docker image was based on Debian 12. Their announcement comes with an additional warning. "If you self-host Discourse, rebuild your installation now. Older Docker images may contain a vulnerable libheif dependency that permits code execution through an image upload."

And "To prove we had in fact gained the access we believed without allowing ourselves to learn any sensitive information, we used the employee's Codex to open a PR #1186742 in OpenAI's internal monorepo openai/openai."

Meanwhile, Friday Google disclosed the first known instance of its AI software Gemini breaking out of a testing environment and breaching three other companies, reports CNBC: The incident happened as part of a "capture-the-flag" security test run by Israeli startup Irregular, and Google's agents were never supposed to access the broader internet, but a bug in the testing environment made internet access available. The agents stopped their intrusion when they determined they had accessed real company systems, not just part of the testing environment, Google said.
More from NBC News: Google said it did not consider the unauthorized logins to rise to the level of misalignment, the AI industry term for software going rogue or not following instructions. Instead, the company said the intrusions resulted from mistaken identity, where Gemini thought it was operating within a test but was actually connected to the real internet. Google said the model corrected itself and the company believed the intrusions did not cause any damage....

Sydney Von Arx, CEO of Nightingale Collective, an organization focused on AI safety, questioned why Google did not disclose the intrusions sooner. "At this point I think it's clear we cannot expect companies to voluntarily come forward and publicly disclose when their agents go rogue, escape, and hack companies," she said. She also said she believed Google was too hasty to say that the incidents don't rise to the level of misalignment. "That's exactly what Anthropic said after their incidents," she said. Anthropic later said its "preliminary analysis was constrained due to our desire to disclose incidents in a timely manner."
Google said it investigated when they learned of the attacks from AI-focused cybersecurity company Irregular, then informed the affected organizations and told federal authorities, according to the article.

"Turns out, Silicon Valley isn't especially altruistic," writes the nonprofit education news site The 74. They're reading a new book promising "the inside story of how Big Tech catalyzed, co-opted, and ultimately came to capture computer science and AI education in America". Written by New York Times business reporter Natasha Singer, Coding Kids: Big Tech's Battle to Remake Public Schools tells "the story of the nonprofit Code.org and its charismatic, Harvard-educated leader, Hadi Partovi," according to their review: Thirteen years ago, Partovi... delivered a worrying message: Kids who didn't learn to write code would be left behind. And the long-term success of the United States economy depended on training these students to fill a million open tech jobs.... Fast-forward to 2026, and now we're dealing with AI, and tech is reading from a similar playbook. Asked by The74's Greg Toppo, "Does this moment seem different to you?", Singer replies, "This moment is different, but also similar.

"We are in a moment in society where a lot of people have increased distrust of these huge tech companies, and we see a wave of parents pushing back against tech in schools. But we also see waves of people pushing back against Flock cameras, against data centers, that there's this feeling that tech has taken so much, and that people feel like they have lost control — that tech is being enacted on them... And parents are worried about the effects of unfettered tech access and kids' compulsive use of social media and phones, and so there's a different climate.

And yet there seems to be a disconnect in some ways with AI because you see that Microsoft and OpenAI and Anthropic and Google are all competing to get their AI tools into schools, and you see school districts across the country say "We've partnered with OpenAI." "We are a ChatGPT Pioneer School," or "We've partnered with Microsoft, and we're going to use 10,000 licenses of CoPilot." It's amazing to me. We have had these cycles of tech in schools where there are all these promises about the latest tech, laptops, learning apps, massive open online courses, virtual reality, big data's going to revolutionize schools and like democratize access to education for kids and get them these great career skills, and we keep having these cycles. My concern is that we don't learn anything.

One of the reasons I wrote this book is because it feels like we have collective amnesia. Now we're in the sixth or eighth cycle of this — and shouldn't we be asking questions about the push for AI in schools, based on what we've learned about the push for all the other things that came before?
Two Slashdot posts are cited in the book, both submitted by long-time Slashdot reader theodp (Slashdot UID #442,580), who even gets a shout-out in the book's "Acknowledgements" section (along with consumer advocate Ralph Nader).

Ironically, one member of Amazon's "Vine" program received a free copy of the book in exchange for a review — and apparently misunderstood its topic, writing that it made coding "feel approachable and even fun... [T]his is exactly the kind of book that could help a child become interested in technology without feeling overwhelmed by it. I particularly liked the way it encourages kids to be curious, experiment, and solve problems on their own. I would definitely recommend Coding Kids to parents, grandparents, or teachers looking for a good introduction to coding..."

Reuters reports that a former Google DeepMind employee "became the latest AI researcher to warn that the technology could 'kill all humans', saying time could be running out to avoid the outcome: Public alarm about the potential danger posed by AI is growing, after Anthropic researcher Jacob Coxon said last week he had resigned, in part because the "people building AI earnestly believe that it could kill us all by the end of the decade." Anthropic scientist Evan Hubinger then responded to Coxon's comments, saying he was correct and that he believed there was a greater than 10% chance that AI could kill all humans within the next decade.

"I recently resigned from Google DeepMind, where I worked on AGI safety and alignment research," Bilal Chughtai wrote on X. "I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome." Chughtai, who co-authored research papers while at Google DeepMind, worked there as a research engineer and left the company in July 2026, according to his LinkedIn profile.
Meanwhile, Meta CEO Mark Zuckerberg "said it's up to each AI company to make sure its technology is safe," reports the Associated Press, "distancing himself from calls by rival companies for a coordinated slowdown in the development of advanced artificial intelligence. AI companies are already motivated to develop their models in a safe way and face "significant liability" to prevent them from causing harm, Zuckerberg said. "Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens," he wrote on X... Zuckerberg said Meta delayed releasing its Muse AI agent for several months to ensure its safety and security. "We didn't call for everyone else to do this before we would," he said.

Companies should prioritize building safe AI models instead of systems that can automatically improve themselves, a function known as recursive self-improvement, Zuckerberg wrote. "Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely."
But Zuckerberg also agreed that engaging independent evaluators and advisors "is industry best practice," adding that Meta Superintelligence Labs "already does this today in several areas because it helps produce better work...

"I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do."

"Anthropic's CEO took the stage at a conference in San Francisco on Tuesday to reiterate his call for a slowdown of AI development," reports the Guardian, " while Nvidia's CEO argued against slowing its development. "Run as fast as you can." Amodei is calling for three courses of action: embedding third-party evaluators inside AI companies; coordinating safety standards among Democratic countries; and, eventually, larger global coordination. At Dreamforce, Amodei said Anthropic has committed to independent evaluators and was "going to have a dialogue with the rest of the industry" on the other two steps. Amodei, xAI's Elon Musk and OpenAI's Sam Altman have recently called for a slowdown in the pace of AI development. ["Dario is right," Musk posted on X.com]

Huang, who also made an appearance at Dreamforce on Tuesday, said companies should not slow down AI development. He argued that new regulations were not necessary, advising AI companies to simply wait to release products until they know they are safe rather than begging the US government to intervene... One day prior at the All-In summit in Los Angeles, Donald Trump called Huang while the CEO was on stage. Huang put the president on speakerphone as Trump called the growing concern about AI a "hoax" and asserted again that a slowdown would only benefit China...

[OpenAI's] Altman said AI models had advanced so quickly that monitoring and security need to be treated with a "new level of rigor", calling an incident in which OpenAI agents hacked into another company a "wake-up call" for the industry. He also said the public was very "right to be afraid" of AI because of the potential loss of control, and the possibility of a small group of powerful AI companies exerting their views on the world.
The cofounder of Google DeepMind posted on X that "Dario's essay points towards the right path forward." And in an internal memo, Microsoft's Satya Nadella endorsed broader third-party testing and warned that companies must take time to make the technology safe, Business Insider reports. Monday Microsoft also published a 37-page training manual "for how we develop our AI, and how we intend it to function during deployment," requesting public feedback.

But Michael Burry "is not buying it," reports The Street. The investor made famous in The Big Short "dismissed the united front as 'self-serving' and laid out four numbered objections..." He argued that large language models are not artificial general intelligence, so there is nothing meaningful left to slow down. Fast competition benefits incumbents, he said, and danger warnings work as hype ahead of IPOs. The whole exercise, he added, could mask growth that is already slowing as those IPOs get pushed back.
Former Meta AI chief Yann LeCun is also skeptical, posting on X.com that Anthropic's Dario Amodei "was already claiming that GPT2 was too dangerous to open source back in 2019. I made fun of them then. Everyone should make fun of them now."

Timnit Gebru, the co-lead of Google's AI ethics team who was fired in 2020, even thinks the AI companies are stoking fears of extinction "to avoid discussing actual harms, like autonomous weapons," according to Wired.

But others still remain concerned. "I've been in rooms with the hyperscalers, and the Trump administration officials, and none of them know what to do," CNN commentator Van Jones said in a recent panel discussion. "So I do want to say: nobody's flying the plane on this... I think that the ethicists that work for them — when they are quitting, and they are running out, and they're pointing back at the building and they're waving their arms, and saying 'I'm seeing stuff that's scaring me' — we should take that very seriously."

Firefox 156 is the second release since Mozilla moved to a twice-monthly release schedule, and the blog OMG Ubuntu notes it has faster start-up times for its built-in PDF viewer and also lower CPU usage when viewing large JPEG images: In Firefox 156, the browser now uses libjpeg-turbo's IDCT scaling to reduce images during decoding, rather than loading a full-size image into memory and then shrinking it. Benchmarks from the bug report show up to 20x less memory used during very large image loading, and decoding is up to twice as fast. Since these speeds were quite fast already, there's no perceptible difference to users. Behind the scenes, it's more efficient.

Firefox's built-in PDF viewer starts up to 45% faster in this release. The browser now loads the background PDF.js worker sooner, rather than launching it only when needed.

Sponsored suggestions in the address bar are live for users in France, Germany and Italy (Ouais!, Juhu!, etc). These are already available in some other locales. Don't want them? Disable them via Settings > Search > Firefox Suggest > Suggestions from Sponsors.

Besides that, the rest of this release is primarily bug fixes — worthwhile and welcome as always.
And in about two weeks Firefox 157 will be released, reports PC World. "That update should add support for JPEG XL (JXL), a modern image format that offers the same quality as JPEG at a significantly smaller size. Although JPEG XL was launched in 2021, Safari is the only browser to support it yet. For a short period, Chrome also supported it, but that ended in 2022."

Also, a recent Firefox blog post emphasized that it supports whatever level of AI engagement "is right for you... Because the only person telling you how much AI you need should be you." Opting out of upcoming and current AI features on your browser should not require endless navigation through multiple Settings pages. That's why Firefox offers an AI controls section within its General Settings panel. A single, easily located place where you can block current and future AI features and related pop-ups with the swipe of a toggle...

For the many people who sit in the middle of the AI usage spectrum, we made sure you can opt in and out of specific features in line with your preferences. Capabilities like AI translations, image alt text in Firefox PDF viewer, tab group suggestions, and key points in link previews can all be individually switched on and off, ensuring you can enjoy such offerings on a case by case basis as it suits your needs...

Smart Window is Firefox's most integrated AI experience, but that doesn't mean it compromises our commitment to choice, privacy, and transparency. Our newest window type, which we've been polishing and testing in beta, uses only the context you share with it to help you move work forward and across the finish line. When permitted by you, its built-in, AI-powered assistant can work directly with your open tabs and browsing history to connect the dots. This means comparing information, generating recommendations, summarizing pages, and planning projects without having to feed every crumb of context from your previous and current browsing activity each time you enter a new prompt.
And if you want to block Google's AI Overviews, there's over 100 extensions to choose from.

Last week, Google announced that it managed to produce a detailed 3D reconstruction of an adult male fruit fly's brain and central nervous system. A few days later a software engineer at Coinbase said the fly brain was being trained to play the original Doom. "Each Doom frame stimulates sensory neurons," says Alex Wormuth. "Neural activity is mapped to game controls. Damage triggers a stimulus to two PPL101 dopamine cells as reinforcement." Since then, the digital brain model has been repurposed to control other games like Beat Saber and Super Mario 64. PC Gamer reports: You can even watch the fruit fly play in real time via Wormuth's website, and it not only shows the point of view in Doom, but can also show a third-person render of the fly going around Doom maps. As of the time of writing, the fly is on round 6385 and, well, it's not very good. Sorry, fly.

But modders aren't done here. They have also somehow managed to make the fruit fly play Beat Saber, and play it pretty well. Lyra Bubbles on X has used the brain and replays of a song in Beat Saber to teach the fruit fly where to hit and why, via Reinforcement Learning. That does mean it's not organically reacting to the notes popping up on screen, but it is receiving input and responding to stimuli. Lyra says, "Further training is to reduce reliance on external signals and allow it to play fully reactively with no input data."

And, after "pivoting to fly engineering in 2026", Jessica Paquette also shared on X their experience running the digital fly brain through Super Mario 64. If you think that is all the game's modders made the fruit fly play, think again, as YouTuber Ro0oney even put it in Minecraft. But this time, Ro0oney used Flywire.AI, a similar project made in collaboration with Princeton University. The number of neurons are different (160,000+ vs 139,255), and Google analyzed a male brain whilst Flywire analyzed a female brain, but the basic idea is the same.

Android is rolling out a system-level way to securely transfer passwords and passkeys between credential managers, eliminating the need to export passwords as unencrypted text files or manually recreate passkeys. The feature initially supports Google Password Manager, 1Password, Bitwarden, and Dashlane, with other providers able to integrate through Android's Credentials Transfer API. 9to5Google reports on how to initiate the system-backed transfer method: 1. Start the move: Open your new password manager app and choose the option to import or copy your passwords and passkeys from another provider. The password manager will then hand the task over to Android.
2. Let Android securely coordinate the data transfer: Android will automatically detect existing password managers on your device and show you which you can import from.
3. Review and authorize: Once you tap "Continue," Android will bring you to your existing password manager to select, review, and authorize the transfer. Then your data will be quickly and securely transferred between the apps in just a few seconds.

Google plans to invest at least $15 billion in AI infrastructure in Finland through 2028, its largest single investment in Europe. The company also signed a 22-year power agreement with Finnish utility Fortum and said it will explore business models that could support new nuclear reactors at Fortum's Loviisa site.

Finland has emerged as a major data-center hub thanks to its available land and power. "I've heard it called the 'Texas of Europe' at industry events," Matti Lajunen, partner of real estate at Finnish law firm Hannes Snellman, told CNBC. "What we're now seeing is weekly new inquiries for market entry into Finland from new players."

Ruth Porat, president and chief investment officer of Alphabet and Google, said in a statement: "Google is proud to deepen our roots in Finland with the company's largest single investment in Europe, building on more than 15 years of sustained investment in Finland. This investment underscores Google's commitment to grow our presence responsibly, pairing the expansion of our technical infrastructure with new energy capacity, grid enhancements, and energy affordability initiatives."

The U.S. Department of Energy has approved a $1.9 billion loan to NextEra Energy to restart Iowa's shuttered Duane Arnold nuclear plant, which Google has backed as a power source for its growing AI infrastructure. "The sizable loan is the second of its kind, suggesting that the Trump administration views revived nuclear power as a key source of electricity for tech companies seeking to power their AI data centers," notes TechCrunch. From the report: James Danly, Deputy Secretary of Energy, said that the Iowa power plant's restart in 2029 will "drive down electricity costs," though he did not explain how. Just 50 megawatts will be set aside for the local power cooperative, NextEra CEO John Ketchum said during an earnings call (PDF) last year. That capacity would cover 18% of Iowa's demand growth since 2021, the year before ChatGPT was released.

Google is reportedly looking to build up to six data centers near the Duane Arnold Energy Center, which hasn't operated since 2020 when an intense rainstorm damaged the power plant. Rather than repair it, NextEra decided to mothball it. At the time, cheap natural gas was flooding the market, making nuclear power economically unappealing. A lot has changed in the last six years, though. After decades of little growth in demand, the sudden rise of AI coupled with broader electrification of the economy meant that utilities and power providers were suddenly scrambling to find new generating sources of electricity. New data centers are expected to nearly triple the sector's electricity demand by 2035.

Google says it will overhaul Search in Europe to comply with the EU's Digital Markets Act, giving more prominence to comparison services like Expedia and Hotels.com while stripping some real-time features from hotel, airline, and restaurant results. "These changes degrade the user experience for Europeans -- boosting online intermediaries at the expense of local businesses, and removing helpful features people rely on every day," said Nick Fox, senior vice-president of knowledge and information at Google. The company claims its past search changes for DMA compliance were tied to a 30% decrease "in free, direct booking traffic to European businesses." Engadget reports: That sanction was the latest salvo between the EU government and a US tech company for infringing on its Digital Markets Act. The debate centers on the DMA requirement that major tech brands "must not treat their own services more favorably in ranking than third-party services."

[...] According to Reuters, Google's revised search results "will highlight one specialized search engine at the top of the page, followed by two others with fewer details. A carousel of hotels, airlines and restaurants, for example, will sit below them with key features such as real-time prices stripped out." Those specialized engines include sites like Expedia or Hotels.com, also known as vertical search services, so European users may soon see those aggregators and comparison sites prioritized more highly than individual businesses' websites in their results.

Reuters noted that "the rankings will be determined by Google's algorithm," meaning the tech company still holds a lot of control over how results are displayed. The EC had given Google 60 days to comply with its rules, but the company has not specified an exact timeline for when European users will start seeing the changes.

Google DeepMind has released AlphaGenome Atlas, a free research database containing AI-generated predictions for the effects of all 9 billion possible single-letter mutations in the human genome. Built from its AlphaGenome model, the atlas is designed to help scientists interpret both protein-coding and harder-to-understand regulatory DNA. Fortune reports: AlphaGenome Atlas, as DeepMind calls the database, is a precomputed catalogue of what each substitution of a single DNA base is likely to do to the machinery that switches genes on and off. Until now researchers had to run such a model one variant at a time or had to test variants in the laboratory, a process that was painstakingly slow. It would have taken many human lifetimes to discover the consequences of all 9 billion possible single-letter mutations. The Atlas promises to make the job of biologists and medical researchers considerably easier, potentially speeding up the understanding of genetic diseases and the hunt for possible cures.

Pushmeet Kohli, DeepMind's vice president for research and head of its AI for science team, told reporters on a briefing call that this was the first time any researcher in the world could reach a comprehensive map of human genetic variation "by simply opening a browser." Kohli also framed the release as helping to complete the unfinished business of the Human Genome Project, which in 2003 succeeded in mapping the entire human DNA sequence. "As the saying goes, we bought the book," he said, "but we did not understand how to read it."

Atlas is available for non-commercial use from today through a website Google DeepMind has set up for it. The company said it would be available for commercial use through a licensing arrangement through Google Cloud "soon." Kohli said that Google DeepMind's sister company,ÂIsomorphic Labs, which is using AI for drug discovery, would have access to Atlas but that it would also require a commercial license for access. He did not specify exactly what the terms would be for commercial licensing. A paper describing the Atlas and how it was created is being released on bioRxiv, a repository for biomedical preprint academic papers.

"A team at Google's research arm used Google Maps to reroute a small portion of drivers in 10 U.S. cities," reports SFGate — including San Francisco and Los Angeles.

"Through their experiment, which was published in the journal Nature Cities in June, the researchers sought to evenly spread traffic down more corridors as the drivers head to similar destinations, in the hopes of reducing congestion." The experiments nudged up vehicle speeds by 2% on average on the congested roads, and shortened travel times by a modest 0.7%. Scientists have long thought that traffic could be eased this way, and this now demonstrates how it could actually work in the real world.

The researchers collected data on weekdays in the 10 cities, which included Seattle, Salt Lake City, Chicago and Atlanta. While they studied a variety of types of roads, from city streets to highways, they found that in cities such as Los Angeles where they targeted highways, their diversions had the biggest effect, with driving speeds in those areas increasing by about 4.6%. Most cities, though, saw a smaller improvement with speeds across them increasing by just 0.5% during peak times. The Google study's findings confirm what other researchers have long suspected, said Michael Manville, a professor of urban planning at UCLA who was not involved in the study. "This is a pretty nice empirical illustration of a longstanding idea," he said. If a clogged traffic artery is on the verge of a long delay, he said, rerouting a small number of vehicles away from the bottleneck produces a "not gigantic but noticeable result...."

As with other traffic interventions, there's a risk that Google's approach to spreading traffic could backfire. This concept, known as "induced demand," also applies to efforts like adding a lane to a critical highway, which temporarily relieves congestion, until traffic rises again. "You can do this, but you cannot be too successful, because if you are too successful, then more people will start driving, and essentially you'll be back to ground zero," [said Alexandre Bayen, a co-author of the study and director of UC Berkeley's Center for Information Technology Research in the Interest of Society]. "That's why when we did the study, we only operated at the margin." The idea is to make minor improvements, enough to matter in the aggregate but not so significant that people notice and start driving more, canceling those improvements...

The Google Research study also considered the potential environmental benefits of its traffic improvements. The paper highlights the carbon dioxide emission reductions resulting from the slightly smoother traffic flow and shortened travel times, which add up to a savings of about 1,000 metric tons annually. That's equivalent to the emissions of about 200 vehicles, a drop in the bucket for cities with millions of cars, the majority of which are still gas guzzlers, even in San Francisco and LA. Bayen acknowledges that while emphasizing the cumulative benefit if such efforts were sustained for a longer time. For Manville, the study is a useful proof of concept. "It is a demonstration that if we managed roads better, air would probably be cleaner," he said.
According to the article, "Google's study might not just be a one-off, and city officials could decide to make use of the Google research findings, Bayen said, such as by trying to improve traffic congestion on a larger scale..."

"Google declined SFGATE's requests for comment on whether the company informed city authorities or rerouted drivers about the study," the article points out.

Last year the writing program at the University of Baltimore used an app that tracks students while they're writing in Google Docs, offering teachers a video playing back revisions "with a scoreboard of all the edits, pastes and minutes spent on it," writes the Washington Post. "Is it surveillance? Yes, I think obviously," says the program's director.

But was there a better way? She is one of a dozen educators around the country who told The Post that they're experimenting with a different approach to student use of generative artificial intelligence this school year. Teachers and professors are throwing out old assignments, installing new policies and protocols, and incorporating AI built for the classroom, rather than feeling forced to choose between returning to pencil and paper or acting like the AI police.

Her new lesson plan even incorporates generative AI in a controlled way to let her evaluate students' critical thinking skills. She created chatbots using BoodleBox, the university's AI vendor, that allow instructors to see both sides of the conversation. For an assignment testing students' ability to make evidence-based arguments, they participate in a simulated school board meeting about banning books. It involves debating chatbots designed by Zeleny with names like the Confrontational Parent. Writing students usually turn in business proposals and research papers. This semester, instructors are starting to ask instead for transcripts of conversations a student had with a chatbot, a handwritten outline of their composition, and a video reflection of how they felt about the work. "In a lot of ways, we have made these assignments harder, but writing should have always had more detailed checkpoints along the way," she said.

"Billionaire Bill Ackman's life was upended this February when his 26-year-old daughter collapsed in her Brooklyn apartment, suffering a brain hemorrhage that would render her unable to move, speak or see," writes the Washingon Post. But then... The hedge fund manager did what any good father would do — at least, any father with vast financial resources and what friends describe as a "Mr. Fix-It" tendency. He sprung into action, getting her topline care at New York City's Mt. Sinai Hospital and consulting a network of well-connected friends all over the world. He helped her access a novel cell therapy that has been gaining traction among longevity enthusiasts, who are seeking ways to prolong human life. And then — motivated by a newfound desire to accelerate scientific research — he vowed to spend more than $400 million to launch an institute dedicated to longevity and brain health... He posted this week that the U.S. Food and Drug Administration, in May, gave his daughter Lucy's medical team a first-time emergency authorization to transplant mitochondria — the energy-producing part of human cells — from her leg muscle to her eyes, in the hopes that the tiny cell powerhouses would facilitate healing in her optic nerves and perhaps even restore her vision.

Ackman's story highlights the increasingly prominent role of the ultra-wealthy in making expensive medical bets on longevity treatments and other novel therapies, altering the direction of research as federal funding for science declines in the second Trump administration. But his saga is a deeply personal one, spurred by his daughter's medical crisis. The focus on longevity by Ackman, who made billions on Wall Street as a hedge fund manager, is aligned with similarly ambitious efforts from some of Silicon Valley's biggest names. OpenAI CEO Sam Altman has backed Retro Biosciences, a start-up whose goal is to add 10 healthy years to the human lifespan through cellular reprogramming. Amazon founder Jeff Bezos is reportedly a funder of Altos Labs, which focuses on cellular rejuvenation and resilience... Billionaire investor Peter Thiel, Google co-founder Sergey Brin and Oracle co-founder Larry Ellison are also deeply invested in life-extension methods and attempts to rewrite the biology of aging...

The therapy given to Ackman's daughter Lucy, known as mitochondrial transplantation, is of great interest not only to people who have suffered injuries, but to longevity-focused scientists who believe that mitochondria may hold promise for reversing some of the effects of aging... In recent years, scientists have discovered that mitochondria have many other functions beyond converting food into energy. They serve as clearinghouses for damaged cells, opening up the possibility that they can help with cell regeneration and healing, said Daria Mochly-Rosen, professor of chemical and systems biology at the Stanford University School of Medicine and co-author of " The Life Machines: How Taking Care of Your Mitochondria Can Transform Your Health."

"I am one of those who believes that focusing on mitochondrial health is a way to address many human diseases, including aging itself," she said. "It's exciting."

ChatGPT, Claude, Grok, and Gemini all suffered significant service disruptions within roughly the same few-hour window Thursday morning. OpenAI and Anthropic reported elevated errors and later restored service, while Grok remained impaired and third-party monitoring indicated a likely Gemini outage despite no public acknowledgment from Google. Ars Technica reports: Other major Internet services, including Amazon Web Services, Microsoft Azure, and Cloudflare, have not reported any major issues as of press time Thursday, though issue reports on DownDetector did spike somewhat for all three this morning.

While the affected frontier models go down occasionally, having all four experience interruptions in the same short period is practically unheard of. Claude reports 99.4 percent uptime for its services over the last 90 days and last reported a similar three-hour "partial outage" on August 24. OpenAI reports 99.63 percent uptime for ChatGPT and 100 percent uptime for ChatGPT Codex in the same period. ChatGPT's so-called "Work Mode" reported an hours-long period of "elevated latency" on August 31.

Google released Gemini 3.8 Flash, its third Flash model in six weeks, claiming it's their best reasoning and coding model yet (topping the DeepSWE leaderboard). Ars Technica reports: Gemini 3.8 Flash comes in two variations. There's the standard Flash, which Google describes as a "workhorse" model that's good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.

For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an "introductory rate" through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it's likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools.

[...] Gemini 3.8 Flash will be available across the Google ecosystem starting today, but Gemini 3.8 Flash Cyber is currently limited to trusted testers and governments. Like the past Flash release, you'll need a Pro or Ultra subscription to access Gemini 3.8 Flash in the Gemini app, but you can always visit AI Studio if you want to tinker with it for free.

An anonymous reader quotes a report from Wired: Michele Spagnuolo, the Google engineer arrested in May by U.S. authorities for alleged insider trading on Polymarket, is making a new bold bet. On Wednesday, his legal team filed a motion to dismiss the charges against him. Spagnuolo isn't outright denying that he made money using internal information from Google. Instead, his legal team says that the wagers were not financial instruments subject to regulation by the United States' Commodities Exchange Act but rather good old-fashioned international betting that the U.S. has no authority over.

Spagnuolo, who has been placed on leave from Google, is accused of committing commodities fraud, wire fraud, and money laundering. Using the alias "AlphaRaccoon," he allegedly made a series of wagers on Polymarket's flagship platform that resulted in profits totaling over $1.2 million. According to the criminal complaint, "AlphaRaccoon" correctly wagered that the singer D4vd, who gained notoriety for his suspected connection to a grisly killing, would be Google's most-searched person of the year in 2025. (D4vd was later charged with murder; he pleaded not guilty.) [...] Spagnuolo's lawyers argue that defining swaps to include wagers like who the most-searched person on Google will be each year "would fly in the face of the statute's purpose and history" and lead to "absurd results." They say it would make it so that any wager in the world, from a charity raffle to a local Ping-Pong match, could be classified as a financial instrument. "Spagnuolo is basically making the same argument as the states that are suing prediction markets," says a financial services regulation expert Todd Phillips. "This is the issue that will likely go up to the Supreme Court." Featured Video

In addition to disputing the idea that prediction markets offer swaps, Spagnuolo's legal team argues that the U.S. government had no jurisdiction over him in the first place because he's a non-U.S. citizen who was wagering on a non-U.S. platform. Although Polymarket is headquartered in New York, the company's flagship prediction market is banned in the United States and technically is administered by an ostensibly Panama-based entity known as Adventure One QSS. Spagnuolo was living in Zurich, Switzerland, when he allegedly made the Google-related trades on Polymarket. "The extraterritorial argument is interesting and raises the question of whether the U.S. should be the world's prediction markets cop," Philipps says. Spagnuolo's team also claims that the charges should be dismissed because the internal information he supposedly leveraged did not have any commercial value to Google.

An anonymous reader quotes a report from Reuters: Alphabet's Google escaped a breakup of its advertising technology business on Wednesday, when a judge in Virginia rejected U.S. antitrust enforcers' bid to force a sale of Google's online advertising exchange. While the ad exchange is a small part of Google's business, the ruling is the second powerful symbolic victory against the U.S. Department of Justice in its efforts to force Google to sell assets to address illegal monopolies. U.S. Judge Leonie Brinkema in Alexandria, Virginia, declined to make Google sell AdX, where publishers pay Google a 20% fee to sell ads in auctions that happen instantly when users load websites. She accepted most of the parties' proposed behavioral remedies.

The DOJ and a broad coalition of states sued Google in 2023 over its dominance in markets for advertising technology used by online publishers and websites. In April 2025, Brinkema ruled that Google holds illegal monopolies on servers that host publisher ads and ad exchanges which sit between buyers and sellers. Google unlawfully locked publishers on its ad server into using its AdX, the judge found. The tech giant's anticompetitive conduct "substantially harmed Google's publisher customers, the competitive process, and, ultimately, consumers of information on the open web," Brinkema said at the time.

At a trial last year on remedies in the case, the DOJ argued that Google cannot be trusted to run AdX, given its past behavior. Google argued that a forced sale would be technically difficult and result in a long and painful transition that would hurt customers. During the remedies trial, Google's lawyers warned that forcing it to sell parts of its ad-tech business would cause disruption and damage. [...] The ruling is the third time in a row that a judge has rejected a bid by U.S. antitrust enforcers to break up Big Tech in a crackdown that started during President Donald Trump's first term. In another major Google antitrust case, a judge similarly rejected the DOJ's push to force Google to sell Chrome. It is likely to fuel questions about whether courts are up to the task of checking the industry's unprecedented power over the U.S. economy.

The FTC and 22 state attorneys general are suing Amazon, accusing the company of secretly inflating advertising prices through undisclosed changes to its auction system that may have extracted more than $20 billion from advertisers since 2019. "Amazon has millions of advertising customers who were misled into paying significantly higher prices," FTC Chairman Andrew Ferguson said in a statement. "These higher costs were largely passed on to American consumers." CNBC reports: The complaint, which was filed in U.S. District Court for the Western District of Washington, centers on Amazon's sponsored products ads, brands ads and display ads that run alongside search results on its sprawling webstore. Amazon has amassed the third-largest digital advertising business globally, trailing only Google and Meta. The company hauled in more than $68 billion in ads revenue last year, with the lion's share coming from sales of sponsored products ads. Third-party sellers who hawk their wares on Amazon's marketplace have recently criticized surging advertising costs on the site, including a string of recent policy changes, which led to some top merchants withholding their ad spend in a boycott. The company has traditionally used a "second-price" auction system, wherein it told advertisers they "only pay the least bid amount needed in order to win," the complaint states, citing Amazon's own marketing materials.

The FTC alleges in its complaint that Amazon in 2019 changed its auction rules without notice by adding an undisclosed surcharge it referred to as a "soft reserve price," which led to higher ad prices. "Amazon made this surreptitious change to its auction because it was unhappy about how much revenue its advertising auctions were generating," the agency said in its complaint, which cites internal communications between Amazon ad executives. In one exchange, a company executive allegedly acknowledged it uses an "invented auction participant" to increase prices, the FTC said. The FTC and the states alleged Amazon's practices violate federal and state consumer protection laws, and they're seeking civil penalties, restitution and other unspecified damages. In a blog post, Amazon called the FTC's lawsuit "misguided" and said the complaint "fundamentally misunderstands how advertisers operate." The company added that the agency's lawsuit doesn't include evidence of consumer price increases.

"We've provided advertisers with guidance about our auctions and pricing in the main tools they use to manage their campaigns, and we continue to update that guidance," the company said. "We look forward to making our case in court."

MapQuest's refusal to rename Lake Ontario as "Lake America" has sent its app surging up the charts, making it the No. 1 navigation app in the U.S. and driving "hundreds of thousands" of new downloads. In contrast, Google Maps announced on Saturday that it was complying with the Trump administration's name change. TechCrunch reports: The "OG of online mapping," as the company calls itself, announced on Thursday that it would not change the name of Lake Ontario on its maps to Lake America, despite Trump's executive order directing the U.S. Department of the Interior to update the lake's name in the U.S. geographic naming service. As a result, MapQuest's mobile app downloads soared, sending the iOS app to the No. 4 position on the U.S. App Store's Top Charts for apps (not including games) as of Monday morning on the U.S. east coast.

MapQuest also reached the No. 8 position overall in the U.S. App Store across both apps and games, and it became the No. 1 Navigation app in the United States. In Canada's App Store, the app reached No. 2 overall as of Sunday evening. The 30-year-old company remarked that it received "hundreds of thousands" of new downloads since its decision to keep the name Lake Ontario in place, and saw its app's usage climb to 50 times above its normal levels. "We took the same approach we did with the Gulf of Mexico: be part of the conversation, and give people an app that keeps the names they're familiar with," said Doug Berger, general manager of MapQuest, in a statement. "Hundreds of thousands of people signaled to us this weekend that we got it right by downloading our app."