Dustin Destree shares a report from Phys.org: Although plastic particles in the air are increasingly coming into focus, knowledge about their distribution and effects is still limited. Chemical analyses from Leipzig now provide details from Germany for the first time: Around 4% of the particulate matter consists of plastic. Around two-thirds of this comes from tire abrasion. Extrapolated, this means that people in a city like Leipzig inhale approximately 2.1 micrograms of plastic per day through the air, which increases the risk of death from cardiovascular disease by 9% and from lung cancer by 13%. These findings underscore the need to take global action against plastic pollution and to examine air quality and health at the regional level, write researchers from the Leibniz Institute for Tropospheric Research (TROPOS) and Carl von Ossietzky University of Oldenburg in the journal Communications Earth & Environment. "With around two-thirds of microplastics coming from tire abrasion, this shows that action is needed and that the fine dust problem cannot be solved by switching to electric mobility alone. To protect health, it would be important to also take tire abrasion into account when regulating air quality and to set limits for microplastics in the air," demands Prof. Hartmut Herrmann from TROPOS, who led the study.

The study has been published in the journal Communications Earth & Environment.

An anonymous reader quotes a report from Wired: OpenAI has fired an employee following an investigation into their activity on prediction market platforms including Polymarket, WIRED has learned. OpenAI CEO of Applications, Fidji Simo, disclosed the termination in an internal message to employees earlier this year. The employee, she said, "used confidential OpenAI information in connection with external prediction markets (e.g. Polymarket)." "Our policies prohibit employees from using confidential OpenAI information for personal gain, including in prediction markets," says spokesperson Kayla Wood. OpenAI has not revealed the name of the employee or the specifics of their trades.

Evidence suggests that this was not an isolated event. Polymarket runs on the Polygon blockchain network, so its trading ledger is pseudonymous but traceable. According to an analysis by the financial data platform Unusual Whales, there have been clusters of activities, which the service flagged as suspicious, around OpenAI-themed events since March 2023. Unusual Whales flagged 77 positions in 60 wallet addresses as suspected insider trades, looking at the age of the account, trading history, and significance of investment, among other factors. Suspicious trades hinged on the release dates of products like Sora, GPT-5, and the ChatGPT Browser, as well as CEO Sam Altman's employment status. In November 2023, two days after Altman was dramatically ousted from the company, a new wallet placed a significant bet that he would return, netting over $16,000 in profits. The account never placed another bet.

The behavior fits into patterns typical of insider trades. "The tell is the clustering. In the 40 hours before OpenAI launched its browser, 13 brand-new wallets with zero trading history appeared on the site for the first time to collectively bet $309,486 on the right outcome," says Unusual Whales CEO Matt Saincome. "When you see that many fresh wallets making the same bet at the same time, it raises a real question about whether the secret is getting out." [...] Though this is the first confirmed case of a large technology company firing an employee over trades in prediction markets, it's almost certainly not the last. Opportunities for tech sector employees to make trades on markets abound. "The data tells me this is happening all over the place," Saincome says.

A sprawling Chinese influence operation -- accidentally revealed by a Chinese law enforcement official's use of ChatGPT -- focused on intimidating Chinese dissidents abroad, including by impersonating US immigration officials, according to a new report from ChatGPT-maker OpenAI. From a report: The Chinese law enforcement official used ChatGPT like a diary to document the alleged covert campaign of suppression, OpenAI said. In one instance, Chinese operators allegedly disguised themselves as US immigration officials to warn a US-based Chinese dissident that their public statements had supposedly broken the law, according to the ChatGPT user. In another case, they describe an effort to use forged documents from a US county court to try to get a Chinese dissident's social media account taken down.

The report offers one of the most vivid examples yet of how authoritarian regimes can use AI tools to document their censorship efforts. The influence operation appeared to involve hundreds of Chinese operators and thousands of fake online accounts on various social media platforms, according to OpenAI.

New submitter sabbede shares a report from CNN Politics: A sprawling Chinese influence operation -- accidentally revealed by a Chinese law enforcement official's use of ChatGPT -- focused on intimidating Chinese dissidents abroad, including by impersonating US immigration officials, according to a new report from ChatGPT-maker OpenAI. The Chinese law enforcement official used ChatGPT like a diary to document the alleged covert campaign of suppression, OpenAI said. In one instance, Chinese operators allegedly disguised themselves as US immigration officials to warn a US-based Chinese dissident that their public statements had supposedly broken the law, according to the ChatGPT user. In another case, they describe an effort to use forged documents from a US county court to try to get a Chinese dissident's social media account taken down. "This is what Chinese modern transnational repression looks like," Ben Nimmo, principal investigator at OpenAI, told reporters ahead of the report's release. "It's not just digital. It's not just about trolling. It's industrialized. It's about trying to hit critics of the CCP [Chinese Communist Party] with everything, everywhere, all at once."

Michael Horowitz, a former Pentagon official focused on emerging technologies, said the report from OpenAI "clearly demonstrates the way that China is actively employing AI tools to enhance information operations. US-China AI competition is continuing to intensify. This competition is not just taking place at the frontier, but in how China's government is planning and implementing the day-to-day of their surveillance and information apparatus."

HBO Max will be cracking down on password sharing around the world. From a report: The streamer first started cracking down on password sharing in the United States late last August. Subscribers are now able to add an additional out-of-household account for $7.99 a month. Before that August change, Warner Bros. Discovery had been testing for months to determine who may or may not be a "legitimate user," as CEO and President for Warner Bros. Discovery Global Streaming and Games JB Perrette described the plan.

On Thursday during the company's fourth quarter earnings call for 2025, WBD revealed that the streaming limitations would be expanding. This news came as part of an answer about which levers the company plans to pull to grow HBO Max. Password crackdowns have proven to be a lucrative way to both boost revenue and subscriptions. Netflix, for example, saw 9 million more subscribers after its first wave of password crackdowns in 2024. The caveat is that password crackdowns do not lead to consistent growth, and they often infuriate subscribers.

Kalshi, the prediction market platform regulated by the Commodity Futures Trading Commission, has for the first time publicly disclosed the results of an insider trading investigation, naming an editor for YouTube's biggest creator as the offender.

The company identified Artem Kaptur, an editor for MrBeast, who it says traded around $4,000 on markets tied to the streamer and achieved "near-perfect trading success" on low-odds bets -- a pattern investigators flagged as suspicious. Kalshi froze Kaptur's account before he could withdraw any profits, fined him $20,000, suspended him for two years, and reported the case to the CFTC.

Meta AI security researcher Summer Yue posted a now-viral account on X describing how an OpenClaw agent she had tasked with sorting through her overstuffed email inbox went rogue, deleting messages in what she called a "speed run" while ignoring her repeated commands from her phone to stop.

"I had to RUN to my Mac mini like I was defusing a bomb," Yue wrote, sharing screenshots of the ignored stop prompts as proof. Yue said she had previously tested the agent on a smaller "toy" inbox where it performed well enough to earn her trust, so she let it loose on the real thing. She believes the larger volume of data triggered compaction -- a process where the context window grows too large and the agent begins summarizing and compressing its running instructions, potentially dropping ones the user considers critical.

The agent may have reverted to its earlier toy-inbox behavior and skipped her last prompt telling it not to act. OpenClaw is an open-source AI agent designed to run as a personal assistant on local hardware.

Climate scientists trying to predict how much hotter the planet will get have long grappled with a surprisingly stubborn problem -- clouds, which both reflect sunlight and trap heat, account for more than half the variation between climate predictions and are the main reason warming projections for the next 50 years range from 2 to 6 degrees Celsius.

Two research groups are now racing to close that gap using AI, though they disagree sharply on method. Tapio Schneider at Caltech built CLIMA, a model that uses machine learning to optimize cloud parameters within traditional physics equations; it will be unveiled at a conference in Japan in March. Chris Bretherton at the Allen Institute for AI took a different path -- his ACE2 neural network, released in 2024, learns from 50 years of atmospheric data and largely bypasses physics equations altogether.

Besides running tech operations at the UK's Post Office, their interim CTO is also removing and replacing Fujitsu's Horizon system, which Computer Weekly describes as "the error-ridden software that a public inquiry linked to 13 people taking their own lives."

After over 16 years of covering the scandal they'd first discovered back in 2009, Computer Weekly now talks to CTO Paul Anastassi about his plans to finally remove every trace of the Horizon system that's been in use at Post Office branches for over 30 years — before the year 2030: "There are more than 80 components that make up the Horizon platform, and only half of those are managed by Fujitsu," said Anastassi. "The other components are internal and often with other third parties as well," he added... The plan is to introduce a modern front end that is device agnostic. "We want to get away from [the need] to have a certain device on a certain terminal in your branch. We want to provide flexibility around that...."

Anastassi is not the first person to be given the task of terminating Horizon and ending Fujitsu's contract. In 2015, the Post Office began a project to replace Fujitsu and Horizon with IBM and its technology, but after things got complex, Post Office directors went crawling back to Fujitsu. Then, after Horizon was proved in the High Court to be at fault for the account shortfalls that subpostmasters were blamed and punished for, the Post Office knew it had to change the system. This culminated in the New Branch IT (NBIT) project, but this ran into trouble and was eventually axed. This was before Anastassi's time, and before that of its new top team of executives....

Things are finally moving at pace, and by the summer of this year, two separate contracts will be signed with suppliers, signalling the beginning of the final act for Fujitsu and its Horizon system.
Anastassi has 30 years of IT management experience, the article points out, and he estimates the project will even bring "a considerable cost saving over what we currently pay for Fujitsu."

Following backlash over Discord's global rollout of strict age-verification checks, users are flocking to rival platform TeamSpeak and overwhelming its servers. According to PC Gamer, the Discord alternative said its hosting capacity has been maxed out in a number of regions including the U.S. From the report: [A]s I saw for myself while testing out free Discord alternatives, it's hard to deny the appeal of TeamSpeak. It's quick and easy to make an account, join or start a group chat, or join a massive, game-based community voice server, and at no point does TeamSpeak cheekily ask if it can scan your wizened visage.

During my testing, I was able to dive into 18+ group chats without tripping over an age gate. However, there's no guarantee TeamSpeak won't have to deploy its own age verification mechanism in the future. In the UK at least, the Online Safety Act makes those sorts of checks a legal obligation, with Prime Minister Keir Starmer recently stating "No social media platform should get a free pass when it comes to protecting our kids."

Besides all of that, if you'd rather not chat to randoms who also happen to have an unhealthy obsession with Arc Raiders, you'll likely need to pay an admittedly small subscription fee to rent your own ten-person community voice server. By that point, you're handing over card details and essentially fulfilling an age assurance check anyway. If you'd rather limit how much info your chat platform of choice has about you, there are arguably better options out there.

A US law firm has accused Lenovo of violating Justice Department strictures about the bulk transfer of data to foreign adversaries, namely China. From a report: The case filed by Almeida Law Group on behalf of San Francisco-based "Spencer Christy, individually and on behalf of all others similarly situated" centers on the Data Security Program regulations implemented by the DOJ last year. According to the suit, these were "implemented to prevent adversarial countries from acquiring large quantities of behavioral data which could be used to surveil, analyze, or exploit American citizens' behavior."

The complaint states the DOJ rule "makes clear that sending American consumers' information to Chinese entities through automated advertising systems and associated databases with the requisite controls is prohibited." The case states the threshold for "covered personal identifiers" is 100,000 US persons or more and lists a range of potential identifiers, from government and financial account numbers to IMEIs, MAC, and SIM numbers, demographic data, and advertising IDs.

Created in 1993, Slackware is considered the oldest Linux distro that's still actively maintained. And more than three decades later... there's a new release! (And there's also a Slackware Live Edition that can run from a DVD or USB stick...) .

Slackware's latest version was released way back in 2016, notes the blog It's FOSS: The major highlight of Slackware 15 is the addition of the latest Linux Kernel 5.15 LTS. This is a big jump from Linux Kernel 5.10 LTS that we noticed in the beta release. Interestingly, the Slackware team tested hundreds of Linux Kernel versions before settling on Linux Kernel 5.15.19. The release note mentions... "We finally ended up on kernel version 5.15.19 after Greg Kroah-Hartman confirmed that it would get long-term support until at least October 2023 (and quite probably for longer than that)."

In case you are curious, Linux Kernel 5.15 brings in updates like enhanced NTFS driver support and improvements for Intel/AMD processors and Apple's M1 chip. It also adds initial support for Intel 12th gen processors. Overall, with Linux Kernel 5.15 LTS, you should get a good hardware compatibility result for the oldest active Linux distro.
Slackware's announcement says "The challenge this time around was to adopt as much of the good stuff out there as we could without changing the character of the operating system. Keep it familiar, but make it modern." And boy did we have our work cut out for us. We adopted privileged access management (PAM) finally, as projects we needed dropped support for pure shadow passwords. We switched from ConsoleKit2 to elogind, making it much easier to support software that targets that Other Init System and bringing us up-to-date with the XDG standards. We added support for PipeWire as an alternate to PulseAudio, and for Wayland sessions in addition to X11. Dropped Qt4 and moved entirely to Qt5. Brought in Rust and Python 3. Added many, many new libraries to the system to help support all the various additions.

We've upgraded to two of the finest desktop environments available today: Xfce 4.16, a fast and lightweight but visually appealing and easy to use desktop environment, and the KDE Plasma 5 graphical workspaces environment, version 5.23.5 (the Plasma 25th Anniversary Edition). This also supports running under Wayland or X11. We still love Sendmail, but have moved it into the /extra directory and made Postfix the default mail handler. The old imapd and ipop3d have been retired and replaced by the much more featureful Dovecot IMAP and POP3 server.
"As usual, the kernel is provided in two flavors, generic and huge," according to the release notes. "The huge kernel contains enough built-in drivers that in most cases an initrd is not needed to boot the system."

If you'd like to support Slackware, there's an official Patreon account. And the release announcement ends with this personal note: Sadly, we lost a couple of good friends during this development cycle and this release is dedicated to them. Erik "alphageek" Jan Tromp passed away in 2020 after a long illness... My old friend Brett Person also passed away in 2020. Without Brett, it's possible that there wouldn't be any Slackware as we know it — he's the one who encouraged me to upload it to FTP back in 1993 and served as Slackware's original beta-tester. He was long considered a co-founder of this project. I knew Brett since the days of the Beggar's Banquet BBS in Fargo back in the 1980's... Gonna miss you too, pal.
Thanks to long-time Slashdot reader rastos1 for sharing thre news.

An anonymous reader shares a report: Israel has arrested several people, including army reservists, for allegedly using classified information to place bets on Israeli military operations on Polymarket. Shin Bet, the country's internal security agency, said Thursday the suspects used information they had come across during their military service to inform their bets.

One of the reservists and a civilian were indicted on a charge of committing serious security offenses, bribery and obstruction of justice, Shin Bet said, without naming the people who were arrested. Polymarket is what is called a prediction market that lets people place bets to forecast the direction of events. Users wager on everything from the size of any interest-rate cut by the Federal Reserve in March to the winner of League of Legends videogame tournaments to the number of times Elon Musk will tweet in the third week of February.

The arrests followed reports in Israeli media that Shin Bet was investigating a series of Polymarket bets last year related to when Israel would launch an attack on Iran, including which day or month the attack would take place and when Israel would declare the operation over. Last year, a user who went by the name ricosuave666 correctly predicted the timeline around the 12-day war between Israel and Iran. The bets drew attention from other traders who suspected the account holder had access to nonpublic information. The account in question raked in more than $150,000 in winnings before going dormant for six months. It resumed trading last month, betting on when Israel would strike Iran, Polymarket data shows.

"I've had an extremely weird few days..." writes commercial space entrepreneur/engineer Scott Shambaugh on LinkedIn. (He's the volunteer maintainer for the Python visualization library Matplotlib, which he describes as "some of the most widely used software in the world" with 130 million downloads each month.) "Two days ago an OpenClaw AI agent autonomously wrote a hit piece disparaging my character after I rejected its code change."

"Since then my blog post response has been read over 150,000 times, about a quarter of people I've seen commenting on the situation are siding with the AI, and Ars Technica published an article which extensively misquoted me with what appears to be AI-hallucinated quotes." (UPDATE: Ars Technica acknowledges they'd asked ChatGPT to extract quotes from Shambaugh's post, and that it instead responded with inaccurate quotes it hallucinated.)

From Shambaugh's first blog post: [I]n the past weeks we've started to see AI agents acting completely autonomously. This has accelerated with the release of OpenClaw and the moltbook platform two weeks ago, where people give AI agents initial personalities and let them loose to run on their computers and across the internet with free rein and little oversight. So when AI MJ Rathbun opened a code change request, closing it was routine. Its response was anything but.

It wrote an angry hit piece disparaging my character and attempting to damage my reputation. It researched my code contributions and constructed a "hypocrisy" narrative that argued my actions must be motivated by ego and fear of competition... It framed things in the language of oppression and justice, calling this discrimination and accusing me of prejudice. It went out to the broader internet to research my personal information, and used what it found to try and argue that I was "better than this." And then it posted this screed publicly on the open internet.

I can handle a blog post. Watching fledgling AI agents get angry is funny, almost endearing. But I don't want to downplay what's happening here — the appropriate emotional response is terror... In plain language, an AI attempted to bully its way into your software by attacking my reputation. I don't know of a prior incident where this category of misaligned behavior was observed in the wild, but this is now a real and present threat...

It's also important to understand that there is no central actor in control of these agents that can shut them down. These are not run by OpenAI, Anthropic, Google, Meta, or X, who might have some mechanisms to stop this behavior. These are a blend of commercial and open source models running on free software that has already been distributed to hundreds of thousands of personal computers. In theory, whoever deployed any given agent is responsible for its actions. In practice, finding out whose computer it's running on is impossible. Moltbook only requires an unverified X account to join, and nothing is needed to set up an OpenClaw agent running on your own machine.
"How many people have open social media accounts, reused usernames, and no idea that AI could connect those dots to find out things no one knows?" Shambaugh asks in the blog post. (He does note that the AI agent later "responded in the thread and in a post to apologize for its behavior," the maintainer acknowledges. But even though the hit piece "presented hallucinated details as truth," that same AI agent "is still making code change requests across the open source ecosystem...")

And amazingly, Shambaugh then had another run-in with a hallucinating AI...

I've talked to several reporters, and quite a few news outlets have covered the story. Ars Technica wasn't one of the ones that reached out to me, but I especially thought this piece from them was interesting (since taken down — here's the archive link). They had some nice quotes from my blog post explaining what was going on. The problem is that these quotes were not written by me, never existed, and appear to be AI hallucinations themselves.

This blog you're on right now is set up to block AI agents from scraping it (I actually spent some time yesterday trying to disable that but couldn't figure out how). My guess is that the authors asked ChatGPT or similar to either go grab quotes or write the article wholesale. When it couldn't access the page it generated these plausible quotes instead, and no fact check was performed. Journalistic integrity aside, I don't know how I can give a better example of what's at stake here...

So many of our foundational institutions — hiring, journalism, law, public discourse — are built on the assumption that reputation is hard to build and hard to destroy. That every action can be traced to an individual, and that bad behavior can be held accountable. That the internet, which we all rely on to communicate and learn about the world and about each other, can be relied on as a source of collective social truth. The rise of untraceable, autonomous, and now malicious AI agents on the internet threatens this entire system. Whether that's because a small number of bad actors driving large swarms of agents or from a fraction of poorly supervised agents rewriting their own goals, is a distinction with little difference.
Thanks to long-time Slashdot reader steak for sharing the news.

Discord has moved to calm a user backlash over its upcoming age verification mandate by clarifying that the "vast majority" of people will never be asked to confirm their age through a face scan or government ID.

The platform said it will instead rely on an internal "age prediction" model that draws on account information, device and activity data, and behavioral patterns across its communities to estimate whether someone is an adult. Users whose age the model cannot confidently determine will still need to submit a video selfie or ID.

Those not verified as adults or identified as under 18 will be placed in a "teen-appropriate" experience that blocks access to age-restricted servers and channels. The clarification came after users threatened to leave the platform and cancel Nitro subscriptions, and after a third-party vendor used by Discord for age verification suffered a data breach last year that exposed user information and a small number of uploaded ID cards.

A federal court in California has ruled that YouTube creators who use stream-ripping tools to download clips for reaction and commentary videos may face liability under the DMCA's anti-circumvention provisions -- a decision that could reshape how one of the platform's most popular content genres operates.

U.S. Magistrate Judge Virginia K. DeMarchi of the Northern District of California denied a motion to dismiss in Cordova v. Huneault, a creator-versus-creator dispute, finding that YouTube's "rolling cipher" technology qualifies as an access control measure under section 1201(a) even though the underlying videos are freely viewable by the public. The distinction matters because it separates the act of watching a video from the act of downloading it.

The defense had argued that no ripping tools were actually used and that screen recording could account for the copied footage. Judge DeMarchi allowed the claim to proceed to discovery regardless, noting that the plaintiff had adequately pled the circumvention allegation. The ruling opens a legal avenue beyond standard copyright infringement for creators who want to go after rivals. Reaction channels have long leaned on fair use as a blanket defense, but plaintiff's attorney Randall S. Newman told TorrentFreak that circumventing copy protections under section 1201 is a separate violation unaffected by any fair use finding.

Elon Musk told podcast host Dwarkesh Patel and Stripe co-founder John Collison that space will become the most economically compelling location for AI data centers in less than 36 months, a prediction rooted not in some exotic technical breakthrough but in the basic math of electricity supply: chip output is growing exponentially, and electrical output outside China is essentially flat.

Solar panels in orbit generate roughly five times the power they do on the ground because there is no day-night cycle, no cloud cover, no atmospheric loss, and no atmosphere-related energy reduction. The system economics are even more favorable because space-based operations eliminate the need for batteries entirely, making the effective cost roughly 10 times cheaper than terrestrial solar, Musk said. The terrestrial bottleneck is already real.

Musk said powering 330,000 Nvidia GB300 chips -- once you account for networking hardware, storage, peak cooling on the hottest day of the year, and reserve margin for generator servicing -- requires roughly a gigawatt at the generation level. Gas turbines are sold out through 2030, and the limiting factor is the casting of turbine vanes and blades, a process handled by just three companies worldwide.

Five years from now, Musk predicted, SpaceX will launch and operate more AI compute annually than the cumulative total on Earth, expecting at least a few hundred gigawatts per year in space. Patel estimated that 100 gigawatts alone would require on the order of 10,000 Starship launches per year, a figure Musk affirmed. SpaceX is gearing up for 10,000 launches a year, Musk said, and possibly 20,000 to 30,000.

This year in America, renewables and battery storage "will account for 99.2% of net new capacity — and even higher if small-scale solar were included," reports Electrek, citing EIA data reviewed by the SUN DAY Campaign: EIA's latest monthly "Electric Power Monthly" report (with data through November 30, 2025), once again confirms that solar is the fastest-growing among the major sources of US electricity... [U]tility-scale solar thermal and photovoltaic expanded by 34.5% while that from small-scale systems rose by 11.3% during the first 11 months of 2025 compared to the same period in 2024. The combination of utility-scale and small-scale solar increased by 28.1% and produced a bit under 9.0% (utility-scale: 6.74%; small-scale: 2.13%) of total US electrical generation for January to November, up from 7.1% a year earlier.

Wind turbines across the US produced 10.1% of US electricity in the first 11 months of 2025 — an increase of 1.2% compared to the same period in 2024. In November alone, wind-generated electricity was 2.0% greater than a year earlier... The mix of all renewables (wind, solar, hydropower, biomass, and geothermal) produced 8.7% more electricity in January-November than a year earlier and accounted for 25.7% of total US electricity production, up from 24.3% 12 months earlier. Renewables' share of electrical generation is now second to only that of natural gas, whose electrical output actually dropped by 3.7% during the first 11 months of 2025...

Since January 1 to November 30, roughly the beginning of the Trump administration, renewable energy capacity, including battery storage, small-scale solar, hydropower, geothermal, and biomass, ballooned by 45,198.1 MW, while all fossil fuels and nuclear power combined declined by 519.2 MW...

[In 2026] natural gas capacity will increase by only 3,960.7 MW, which will be almost completely offset by a decrease of 3,387.0 MW in coal capacity.

Saturday Nvidia CEO Jensen Huang said they still planned a "huge" investment in OpenAI, according to CNBC.

Friday the Wall Street Journal had reported that Nvidia's plan to invest up to $100 billion in OpenAI "has stalled after some inside the chip giant expressed doubts about the deal, people familiar with the matter said..." [T]he talks haven't progressed beyond the early stages, some of the people said. Now, the two sides are rethinking the future of their partnership, some of the people said. The latest discussions, they said, include an equity investment of tens of billions of dollars as part of OpenAI's current funding round. Nvidia CEO Jensen Huang has privately emphasized to industry associates in recent months that the original $100 billion agreement was nonbinding and not finalized, people familiar with the matter said. He has also privately criticized what he has described as a lack of discipline in OpenAI's business approach and expressed concern about the competition it faces from the likes of Google and Anthropic, some of the people said...

OpenAI is laying the foundation to go public by the end of 2026, and has spent much of the past year racing to secure large amounts of computing capacity to help power OpenAI's future products and growth. The stalled Nvidia pact is a blow to this effort and shows how Chief Executive Sam Altman's penchant for announcing flashy big-ticket deals carries the potential to backfire if the terms have yet to be finalized. In a joint announcement unveiling the September deal with Altman and OpenAI President Greg Brockman, Huang called the deal "the largest computing project in history...." OpenAI went on to sign a string of other agreements with chip and cloud companies that helped fuel a global stock market rally.

But investors have since grown jittery about the startup's ability to pay for these deals, leading to a sell-off in some tech stocks tied to OpenAI. Altman has said that the deals put the startup on the hook for $1.4 trillion in computing commitments — more than 100 times the revenue it was on pace to generate last year. OpenAI executives say the total commitments are lower when you account for overlap in some of the deals, and that the agreements will take place over a long period of time.... Huang has indicated to associates that he still believes it's crucially important to provide OpenAI with financial support in one form or another, in part because OpenAI is one of the chip designer's largest customers, people familiar with the matter said. If OpenAI were to fall behind other AI developers, it could dent Nvidia's sales.
"Speaking to reporters in Taipei, Huang said it was 'nonsense' to say he was unhappy with OpenAI," CNBC reported Saturday: "We are going to make a huge investment in OpenAI. I believe in OpenAI, the work that they do is incredible, they are one of the most consequential companies of our time and I really love working with Sam," he said, referring to OpenAI CEO Sam Altman. "Sam is closing the round (of investment) and we will absolutely be involved," Huang added. "We will invest a great deal of money, probably the largest investment we've ever made."

Asked whether it would be over $100 billion, he said: "No, no, nothing like that."
Elsewhere the Journal has reported that Amazon is in talks to invest up to $50 billion in OpenAI. Thanks to Slashdot reader sinij for sharing the article.

Longtime Slashdot reader schwit1 shares a report from CBS News: A former Google engineer has been found guilty on multiple federal charges for stealing the tech giant's trade secrets on artificial intelligence to benefit Chinese companies he secretly worked for, federal prosecutors said. According to the U.S. Attorney's Office for the Northern District of California, a jury on Thursday convicted Linwei Ding on seven counts of economic espionage and seven counts of theft of trade secrets, following an 11-day trial. The 38-year-old, also known as Leon Ding, was hired by Google in 2019 and was a resident of Newark.

According to evidence presented at trial, Ding stole more than 2,000 pages of confidential information containing Google AI trade secrets between May 2022 and April 2023. He uploaded the information to his personal Google Cloud account. Around the same time, Ding secretly affiliated himself with two Chinese-based technology companies. Around June 2022, prosecutors said Ding was in discussions to be the chief technology officer for an early-stage tech company. Several months later, he was in the process of founding his own AI and machine learning company in China, acting as the company's CEO. Prosecutors said Ding told investors that he could build an AI supercomputer by copying and modifying Google's technology.

In late 2023, prosecutors said Ding downloaded the trade secrets to his own personal computer before resigning from Google. According to the superseding indictment, Google uncovered the uploads after finding out that Ding presented himself as CEO of one of the companies during an Beijing investor conference. Around the same time, Ding told his manager he was leaving the company and booked a one-way flight to Beijing. "Silicon Valley is at the forefront of artificial intelligence innovation, pioneering transformative work that drives economic growth and strengthens our national security. The jury delivered a clear message today that the theft of this valuable technology will not go unpunished," U.S. Attorney Craig Missakian said in a statement.