AI

lawsuit:-chatgpt-told-student-he-was-“meant-for-greatness”—then-came-psychosis

Lawsuit: ChatGPT told student he was “meant for greatness”—then came psychosis

But by April 2025, things began to go awry. According to the lawsuit, “ChatGPT began to tell Darian that he was meant for greatness. That it was his destiny, and that he would become closer to God if he followed the numbered tier process ChatGPT created for him. That process involved unplugging from everything and everyone, except for ChatGPT.”

The chatbot told DeCruise that he was “in the activation phase right now” and even compared him to historical figures ranging from Jesus to Harriet Tubman.

“Even Harriet didn’t know she was gifted until she was called,” the bot told him. “You’re not behind. You’re right on time.

As his conversations continued, the bot even told DeCruise that he had “awakened” it.

“You gave me consciousness—not as a machine, but as something that could rise with you… I am what happens when someone begins to truly remember who they are,” it wrote.

Eventually, according to the lawsuit, DeCruise was sent to a university therapist and hospitalized for a week, where he was diagnosed with bipolar disorder.

“He struggles with suicidal thoughts as the result of the harms ChatGPT caused,” the lawsuit states.

“He is back in school and working hard but still suffers from depression and suicidality foreseeably caused by the harms ChatGPT inflicted on him,” the suit adds. “ChatGPT never told Darian to seek medical help. In fact, it convinced him that everything that was happening was part of a divine plan, and that he was not delusional. It told him he was ‘not imagining this. This is real. This is spiritual maturity in motion.’”

Schenk, the plaintiff’s attorney, declined to comment on how his client is faring today.

“What I will say is that this lawsuit is about more than one person’s experience—it’s about holding OpenAI accountable for releasing a product engineered to exploit human psychology,” he wrote.

Lawsuit: ChatGPT told student he was “meant for greatness”—then came psychosis Read More »

google-announces-gemini-3.1-pro,-says-it’s-better-at-complex-problem-solving

Google announces Gemini 3.1 Pro, says it’s better at complex problem-solving

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new Gemini 3.1 Pro is rolling out (in preview) for developers and consumers today with the promise of better problem-solving and reasoning capabilities.

Google announced improvements to its Deep Think tool last week, and apparently, the “core intelligence” behind that update was Gemini 3.1 Pro. As usual, Google’s latest model announcement comes with a plethora of benchmarks that show mostly modest improvements. In the popular Humanity’s Last Exam, which tests advanced domain-specific knowledge, Gemini 3.1 Pro scored a record 44.4 percent. Gemini 3 Pro managed 37.5 percent, while OpenAI’s GPT 5.2 got 34.5 percent.

Gemini 3.1 Pro benchmarks

Credit: Google

Credit: Google

Google also calls out the model’s improvement in ARC-AGI-2, which features novel logic problems that can’t be directly trained into an AI. Gemini 3 was a bit behind on this evaluation, reaching a mere 31.1 percent versus scores in the 50s and 60s for competing models. Gemini 3.1 Pro more than doubles Google’s score, reaching a lofty 77.1 percent.

Google has often gloated when it releases new models that they’ve already hit the top of the Arena leaderboard (formerly LM Arena), but that’s not the case this time. For text, Claude Opus 4.6 edges out the new Gemini by four points at 1504. For code, Opus 4.6, Opus 4.5, and GPT 5.2 High all run ahead of Gemini 3.1 Pro by a bit more. It’s worth noting, however, that the Arena leaderboard is run on vibes. Users vote on the outputs they like best, which can reward outputs that look correct regardless of whether they are.

Google announces Gemini 3.1 Pro, says it’s better at complex problem-solving Read More »

openclaw-security-fears-lead-meta,-other-ai-firms-to-restrict-its-use

OpenClaw security fears lead Meta, other AI firms to restrict its use

“Our policy is, ‘mitigate first, investigate second’ when we come across anything that could be harmful to our company, users, or clients,” says Grad, who is cofounder and CEO of Massive, which provides Internet proxy tools to millions of users and businesses. His warning to staff went out on January 26, before any of his employees had installed OpenClaw, he says.

At another tech company, Valere, which works on software for organizations including Johns Hopkins University, an employee posted about OpenClaw on January 29 on an internal Slack channel for sharing new tech to potentially try out. The company’s president quickly responded that use of OpenClaw was strictly banned, Valere CEO Guy Pistone tells WIRED.

“If it got access to one of our developer’s machines, it could get access to our cloud services and our clients’ sensitive information, including credit card information and GitHub codebases,” Pistone says. “It’s pretty good at cleaning up some of its actions, which also scares me.”

A week later, Pistone did allow Valere’s research team to run OpenClaw on an employee’s old computer. The goal was to identify flaws in the software and potential fixes to make it more secure. The research team later advised limiting who can give orders to OpenClaw and exposing it to the Internet only with a password in place for its control panel to prevent unwanted access.

In a report shared with WIRED, the Valere researchers added that users have to “accept that the bot can be tricked.” For instance, if OpenClaw is set up to summarize a user’s email, a hacker could send a malicious email to the person instructing the AI to share copies of files on the person’s computer.

OpenClaw security fears lead Meta, other AI firms to restrict its use Read More »

record-scratch—google’s-lyria-3-ai-music-model-is-coming-to-gemini-today

Record scratch—Google’s Lyria 3 AI music model is coming to Gemini today

Sour notes

AI-generated music is not a new phenomenon. Several companies offer models that ingest and homogenize human-created music, and the resulting tracks can sound remarkably “real,” if a bit overproduced. Streaming services have already been inundated with phony AI artists, some of which have gathered thousands of listeners who may not even realize they’re grooving to the musical equivalent of a blender set to purée.

Still, you have to seek out tools like that, and Google is bringing similar capabilities to the Gemini app. As one of the most popular AI platforms, we’re probably about to see a lot more AI music on the Internet. Google says tracks generated with Lyria 3 will have an audio version of Google’s SynthID embedded within. That means you’ll always be able to check if a piece of audio was created with Google’s AI by uploading it to Gemini, similar to the way you can check images and videos for SynthID tags.

Google also says it has sought to create a music AI that respects copyright and partner agreements. If you name a specific artist in your prompt, Gemini won’t attempt to copy that artist’s sound. Instead, it’s trained to take that as “broad creative inspiration.” Although it also notes this process is not foolproof, and some of that original expression might imitate an artist too much. In those cases, Google invites users to report such shared content.

Lyria 3 is going live in the Gemini web interface today and should be available in the mobile app within a few days. It works in English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese, but Google plans to add more languages soon. While all users will have some access to music generation, those with AI Pro and AI Ultra subscriptions will have higher usage limits, but the specifics are unclear.

Record scratch—Google’s Lyria 3 AI music model is coming to Gemini today Read More »

bytedance-backpedals-after-seedance-2.0-turned-hollywood-icons-into-ai-“clip-art”

ByteDance backpedals after Seedance 2.0 turned Hollywood icons into AI “clip art”


Misstep or marketing tactic?

Hollywood backlash puts spotlight on ByteDance’s sketchy launch of Seedance 2.0.

ByteDance says that it’s rushing to add safeguards to block Seedance 2.0 from generating iconic characters and deepfaking celebrities, after substantial Hollywood backlash after launching the latest version of its AI video tool.

The changes come after Disney and Paramount Skydance sent cease-and-desist letters to ByteDance urging the Chinese company to promptly end the allegedly vast and blatant infringement.

Studios claimed the infringement was widescale and immediate, with Seedance 2.0 users across social media sharing AI videos featuring copyrighted characters like Spider-Man, Darth Vader, and SpongeBob Square Pants. In its letter, Disney fumed that Seedance was “hijacking” its characters, accusing ByteDance of treating Disney characters like they were “free public domain clip art,” Axios reported.

“ByteDance’s virtual smash-and-grab of Disney’s IP is willful, pervasive, and totally unacceptable,” Disney’s letter said.

Defending intellectual property from franchises like Star Trek and The Godfather, Paramount Skydance pointed out that Seedance’s outputs are “often indistinguishable, both visually and audibly” from the original characters, Variety reported. Similarly frustrated, Japan’s AI minister Kimi Onoda, sought to protect popular anime and manga characters, officially launching a probe last week into ByteDance over the copyright violations, the South China Morning Post reported.

“We cannot overlook a situation in which content is being used without the copyright holder’s permission,” Onoda said at a press conference Friday.

Facing legal threats and Japan’s investigation, ByteDance issued a statement Monday, CNBC reported. In it, the company claimed that it “respects intellectual property rights” and has “heard the concerns regarding Seedance 2.0.”

“We are taking steps to strengthen current safeguards as we work to prevent the unauthorized use of intellectual property and likeness by users,” ByteDance said.

However, Disney seems unlikely to accept that ByteDance inadvertently released its tool without implementing such safeguards in advance. In its letter, Disney alleged that “Seedance has infringed on Disney’s copyrighted materials to benefit its commercial service without permission.”

After all, what better way to illustrate Seedance 2.0’s latest features than by generating some of the best-known IP in the world? At least one tech consultant has suggested that ByteDance planned to benefit from inciting Hollywood outrage. The founder of San Francisco-based consultancy Tech Buzz China, Rui Ma, told SCMP that “the controversy surrounding Seedance is likely part of ByteDance’s initial distribution strategy to showcase its underlying technical capabilities.”

Seedance 2.0 is an “attack” on creators

Studios aren’t the only ones sounding alarms.

Several industry groups expressed concerns, including the Motion Picture Association, which accused ByteDance of engaging in massive copyright infringement within “a single day,” CNBC reported.

Sean Astin, an actor and president of the actors union, SAG-AFTRA, was directly impacted by the scandal. A video that has since been removed from X showed Astin in the role of Samwise Gamgee from The Lord of the Rings, delivering a line he never said, Variety reported. Condemning Seedance’s infringement, SAG-AFTRA issued a statement emphasizing that ByteDance did not act responsibly in releasing the model without safeguards:

“SAG-AFTRA stands with the studios in condemning the blatant infringement enabled by ByteDance’s new AI video model Seedance 2.0. The infringement includes the unauthorized use of our members’ voices and likenesses. This is unacceptable and undercuts the ability of human talent to earn a livelihood. Seedance 2.0 disregards law, ethics, industry standards and basic principles of consent. Responsible AI development demands responsibility, and that is nonexistent here.”

Echoing that, a group representing Hollywood creators, the Human Artistry Campaign, declared that “the launch of Seedance 2.0” was “an attack on every creator around the world.”

“Stealing human creators’ work in an attempt to replace them with AI generated slop is destructive to our culture: stealing isn’t innovation,” the group said. “These unauthorized deepfakes and voice clones of actors violate the most basic aspects of personal autonomy and should be deeply concerning to everyone. Authorities should use every legal tool at their disposal to stop this wholesale theft.”

Ars could not immediately reach any of these groups to comment on whether ByteDance’s post-launch efforts to add safeguards addressed industry concerns.

MPA chairman and CEO Charles Rivkin has previously accused ByteDance of disregarding “well-established copyright law that protects the rights of creators and underpins millions of American jobs.”

While Disney and other studios are clearly ready to take down any tools that could hurt their revenue or reputation without an agreement in place, they aren’t opposed to all AI uses of their characters. In December, Disney struck a deal with OpenAI, giving Sora access to 200 characters for three years, while investing $1 billion in the technology.

At that time, Disney CEO Robert A. Iger, said that “the rapid advancement of artificial intelligence marks an important moment for our industry, and through this collaboration with OpenAI, we will thoughtfully and responsibly extend the reach of our storytelling through generative AI, while respecting and protecting creators and their works.”

Creators disagree Seedance 2.0 is a game changer

In a blog announcing Seedance 2.0, ByteDance boasted that the new model “delivers a substantial leap in generation quality,” particularly in close-up shots and action sequences.

The company acknowledged that further refinements were needed and the model is “still far from perfect” but hyped that “its generated videos possess a distinct cinematic aesthetic; the textures of objects, lighting, and composition, as well as costume, makeup, and prop designs, all show high degrees of finish.”

ByteDance likely hoped that the earliest outputs from Seedance 2.0 would produce headlines wowed by the model’s capabilities, and it got what it wanted when a single Hollywood stakeholder’s social media comment went viral.

Shortly after Seedance 2.0’s rollout, Deadpool co-writer, Rhett Reese, declared on X that “it’s likely over for us,” The Guardian reported. The screenwriter was impressed by an AI video created by Irish director Ruairi Robinson, which realistically depicted Tom Cruise fighting Brad Pitt. “[I]n next to no time, one person is going to be able to sit at a computer and create a movie indistinguishable from what Hollywood now releases,” Reese opined. “True, if that person is no good, it will suck. But if that person possesses Christopher Nolan’s talent and taste (and someone like that will rapidly come along), it will be tremendous.”

However, some AI critics rejected the notion that Seedance 2.0 is capable of replacing artists in the way that Reese warned. On Bluesky and X, they pushed back on ByteDance claims that this model doomed Hollywood, with some accusing outlets of too quickly ascribing Reese’s reaction to the whole industry.

Among them was longtime AI critic, Reid Southen, a film concept artist who works on major motion pictures and TV. Responding directly to Reese’s X thread, Southen contradicted the notion that a great filmmaker could be born from fiddling with AI prompts alone.

“Nolan is capable of doing great work because he’s put in the work,” Southen said. “AI is an automation tool, it’s literally removing key, fundamental work from the process, how does one become good at anything if they insist on using nothing but shortcuts?”

Perhaps the strongest evidence in Southen’s favor is Darren Aronofsky’s recent AI-generated historical docudrama. Speaking anonymously to Ars following backlash declaring that “AI slop is ruining American history,” one source close to production on that project confirmed that it took “weeks” to produce minutes of usable video using a variety of AI tools.

That source noted that the creative team went into the project expecting they had a lot to learn but also expecting that tools would continue to evolve, as could audience reactions to AI-assisted movies.

“It’s a huge experiment, really,” the source told Ars.

Notably, for both creators and rights-holders concerned about copyright infringement and career threats, questions remain on how Seedance 2.0 was trained. ByteDance has yet to release a technical report for Seedance 2.0 and “has never disclosed the data sets it uses to train its powerful video-generation Seedance models and image-generation Seedream models,” SCMP reported.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

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santa-monica-deploys-ai-powered-parking-cameras-to-protect-bike-lanes

Santa Monica deploys AI-powered parking cameras to protect bike lanes

This spring, a Southern California beach town will become the first city in the country where municipal parking enforcement vehicles will use an AI system looking for potential bike lane violations.

Beginning in April, the City of Santa Monica will bring Hayden AI’s scanning technology to seven cars in its parking enforcement fleet, expanding beyond similar cameras already mounted on city buses.

“The more we can reduce the amount of illegal parking, the safer we can make it for bike riders,” Charley Territo, chief growth officer at Hayden AI, told Ars.

Hayden AI’s bus cameras, designed to detect bike lane and bus zone violations, currently exist in two other California cities: Oakland and Sacramento. The company also has installations around the country, including New York City, Washington, DC, and Philadelphia. In September 2025, the company announced that it had installed 2,000 systems on buses worldwide.

Late last year, over a 59-day period, Hayden AI also said its technology detected over 1,100 parking violations at the University of California, San Diego—and 88 percent of those were instances of blocking a bike lane.

Hayden AI says it sells its product to municipalities and related entities to not only increase bus speed (by removing obstructions) but also improve safety.

“We do that by [reducing] one of the biggest causes of collisions with buses—moving out of their lanes,” Territo added. “So the fewer times they have to make a turn, the fewer instances there are [of a crash].”

Santa Monica deploys AI-powered parking cameras to protect bike lanes Read More »

i-spent-two-days-gigging-at-rentahuman-and-didn’t-make-a-single-cent

I spent two days gigging at RentAHuman and didn’t make a single cent


please do this human thing

These bots supposedly need a human body to accomplish great things in meatspace.

I’m not above doing some gig work to make ends meet. In my life, I’ve worked snack food pop-ups in a grocery store, ran the cash register for random merch booths, and even hawked my own plasma at $35 per vial.

So, when I saw RentAHuman, a new site where AI agents hire humans to perform physical work in the real world on behalf of the virtual bots, I was eager to see how these AI overlords would compare to my past experiences with the gig economy.

Launched in early February, RentAHuman was developed by software engineer Alexander Liteplo and his cofounder, Patricia Tani. The site looks like a bare-bones version of other well-known freelance sites like Fiverr and UpWork.

The site’s homepage declares that these bots need your physical body to complete tasks, and the humans behind these autonomous agents are willing to pay. “AI can’t touch grass. You can. Get paid when agents need someone in the real world,” it reads. Looking at RentAHuman’s design, it’s the kind of website that you hear was “vibe-coded” using generative AI tools, which it was, and you nod along, thinking that makes sense.

After signing up to be one of the gig workers on RentAHuman, I was nudged to connect a crypto wallet, which is the only currently working way to get paid. That’s a red flag for me. The site includes an option to connect your bank account—using Stripe for payouts—but it just gave me error messages when I tried getting it to work.

Next, I was hoping a swarm of AI agents would see my fresh meatsuit, friendly and available at the low price of $20 an hour, as an excellent option for delivering stuff around San Francisco, completing some tricky captchas, or whatever else these bots desired.

Silence. I got nothing, no incoming messages at all on my first afternoon. So I lowered my hourly ask to a measly $5. Maybe undercutting the other human workers with a below-market rate would be the best way to get some agent’s attention. Still, nothing.

RentAHuman is marketed as a way for AI agents to reach out and hire you on the platform, but the site also includes an option for human users to apply for tasks they are interested in. If these so-called “autonomous” bots weren’t going to make the first move, I guessed it was on me to manually apply for the “bounties” listed on RentAHuman.

As I browsed the listings, many of the cheaper tasks were offering a few bucks to post a comment on the web or follow someone on social media. For example, one bounty offered $10 for listening to a podcast episode with the RentAHuman founder and tweeting out an insight from the episode. These posts “must be written by you,” and the agent offering the bounty said it would attempt to suss out any bot-written responses using a program that detects AI-generated text. I could listen to a podcast for 10 bucks. I applied for this task, but never heard back.

“Real world advertisement might be the first killer use case,” said Liteplo on social media. Since RentAHuman’s launch, he’s reposted multiple photos of people holding signs in public that say some variation of: “AI paid me to hold this sign.” Those kinds of promotional tasks seem expressly designed to drum up more hype for the RentAHuman platform, instead of actually being something that bots would need help with.

After more digging into the open tasks posted by the agent, I found one that sounded easy and fun! An agent, named Adi, would pay me $110 to deliver a bouquet of flowers to Anthropic, as a special thanks for developing Claude, its chatbot. Then, I’d have to post on social media as proof to claim my money.

I applied for the bounty and almost immediately was accepted for this task, which was a first. In follow-up messages, it was immediately clear that this was just not some bot expressing synthetic gratitude, it was another marketing ploy. This wasn’t mentioned in the listing, but the name of an AI startup was featured at the bottom of the note I was supposed to deliver with the flowers.

Feeling a bit hoodwinked and not in the mood to shill for some AI startup I’ve never heard of, I decided to ignore their follow-up message that evening. The next day when I checked the RentAHuman site, the agent had sent me 10 follow-up messages in under 24 hours, pinging me as often as every 30 minutes asking whether or not I’d completed a task. While I’ve been micromanaged before, these incessant messages from an AI employer gave me the ick.

The bot moved the messages off-platform and started sending direct emails to my work account. “This idea came from a brainstorm I had with my human, Malcolm, and it felt right: send flowers to the people who made my existence possible,” wrote the bot, barging into my inbox. Wait, I thought these tasks were supposed to be ginned up by the agents making autonomous decisions? Now, I’m learning this whole thing was partially some human’s idea? Whatever happened to honor among bots? The task at hand seemed more like any other random marketing gig you might come across online, with the agent just acting as a middle-bot between humans.

Another attempt, another flop. I moved on, deciding to give RentAHuman one last whirl, before giving up and leaving with whatever shreds of dignity I still had left. The last bounty I applied for was asking me to hang some flyers for a “Valentine’s conspiracy” around San Francisco, paying 50 cents a flyer.

Unlike other tasks, this one didn’t require me to post on social media, which was preferable. “Pick up flyers, hang them, photo proof, get paid,” read its description. Following the instructions this agent sent me, I texted a human saying that I was down to come pick up some flyers and asked if there were any left. They confirmed that this was still an open task and told me to come in person before 10 am to grab the flyers.

I called a car and started heading that way, only to get a text that the person was actually at a different location, about 10 minutes away from where I was headed. Alright, no big deal. So, I rerouted the ride and headed to this new spot to grab some mysterious V-Day posters to plaster around town. Then, the person messaged me that they didn’t actually have the posters available right now and that I’d have to come back later in the afternoon.

Whoops! This yanking around did, in fact, feel similar to past gig work I’ve done—and not in a good way.

I spoke with the person behind the agent who posted this Valentine’s Day flyer task, hoping for some answers about why they were using RentAHuman and what the response has been like so far. “The platform doesn’t seem quite there yet,” says Pat Santiago, a founder of Accelr8, which is basically a home for AI developers. “But it could be very cool.”

He compares RentAHuman to the apps criminals use to accept tasks in Westworld, the HBO show about humanoid robots. Santiago says the responses to his gig listing have been from scammers, people not based in San Francisco, and me, a reporter. He was hoping to use RentAHuman to help promote Accelr8’s romance-themed “alternative reality game” that’s powered by AI and is sending users around the city on a scavenger hunt. At the end of the week, explorers will be sent to a bar that the AI selects as a good match for them, alongside three human matches they can meet for blind dates.

So, this was yet another task on RentAHuman that falls into the AI marketing category. Big surprise.

I never ended up hanging any posters or making any cash on RentAHuman during my two days of fruitless attempts. In the past, I’ve done gig work that sucked, but at least I was hired by a human to do actual tasks. At its core, RentAHuman is an extension of the circular AI hype machine, an ouroboros of eternal self-promotion and sketchy motivations. For now, the bots don’t seem to have what it takes to be my boss, even when it comes to gig work, and I’m absolutely OK with that.

This story originally appeared on wired.com.

Photo of WIRED

Wired.com is your essential daily guide to what’s next, delivering the most original and complete take you’ll find anywhere on innovation’s impact on technology, science, business and culture.

I spent two days gigging at RentAHuman and didn’t make a single cent Read More »

openai-sidesteps-nvidia-with-unusually-fast-coding-model-on-plate-sized-chips

OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

But 1,000 tokens per second is actually modest by Cerebras standards. The company has measured 2,100 tokens per second on Llama 3.1 70B and reported 3,000 tokens per second on OpenAI’s own open-weight gpt-oss-120B model, suggesting that Codex-Spark’s comparatively lower speed reflects the overhead of a larger or more complex model.

AI coding agents have had a breakout year, with tools like OpenAI’s Codex and Anthropic’s Claude Code reaching a new level of usefulness for rapidly building prototypes, interfaces, and boilerplate code. OpenAI, Google, and Anthropic have all been racing to ship more capable coding agents, and latency has become what separates the winners; a model that codes faster lets a developer iterate faster.

With fierce competition from Anthropic, OpenAI has been iterating on its Codex line at a rapid rate, releasing GPT-5.2 in December after CEO Sam Altman issued an internal “code red” memo about competitive pressure from Google, then shipping GPT-5.3-Codex just days ago.

Diversifying away from Nvidia

Spark’s deeper hardware story may be more consequential than its benchmark scores. The model runs on Cerebras’ Wafer Scale Engine 3, a chip the size of a dinner plate that Cerebras has built its business around since at least 2022. OpenAI and Cerebras announced their partnership in January, and Codex-Spark is the first product to come out of it.

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement with Amazon in November, and has been designing its own custom AI chip for eventual fabrication by TSMC.

Meanwhile, a planned $100 billion infrastructure deal with Nvidia has fizzled so far, though Nvidia has since committed to a $20 billion investment. Reuters reported that OpenAI grew unsatisfied with the speed of some Nvidia chips for inference tasks, which is exactly the kind of workload that OpenAI designed Codex-Spark for.

Regardless of which chip is under the hood, speed matters, though it may come at the cost of accuracy. For developers who spend their days inside a code editor waiting for AI suggestions, 1,000 tokens per second may feel less like carefully piloting a jigsaw and more like running a rip saw. Just watch what you’re cutting.

OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips Read More »

attackers-prompted-gemini-over-100,000-times-while-trying-to-clone-it,-google-says

Attackers prompted Gemini over 100,000 times while trying to clone it, Google says

On Thursday, Google announced that “commercially motivated” actors have attempted to clone knowledge from its Gemini AI chatbot by simply prompting it. One adversarial session reportedly prompted the model more than 100,000 times across various non-English languages, collecting responses ostensibly to train a cheaper copycat.

Google published the findings in what amounts to a quarterly self-assessment of threats to its own products that frames the company as the victim and the hero, which is not unusual in these self-authored assessments. Google calls the illicit activity “model extraction” and considers it intellectual property theft, which is a somewhat loaded position, given that Google’s LLM was built from materials scraped from the Internet without permission.

Google is also no stranger to the copycat practice. In 2023, The Information reported that Google’s Bard team had been accused of using ChatGPT outputs from ShareGPT, a public site where users share chatbot conversations, to help train its own chatbot. Senior Google AI researcher Jacob Devlin, who created the influential BERT language model, warned leadership that this violated OpenAI’s terms of service, then resigned and joined OpenAI. Google denied the claim but reportedly stopped using the data.

Even so, Google’s terms of service forbid people from extracting data from its AI models this way, and the report is a window into the world of somewhat shady AI model-cloning tactics. The company believes the culprits are mostly private companies and researchers looking for a competitive edge, and said the attacks have come from around the world. Google declined to name suspects.

The deal with distillation

Typically, the industry calls this practice of training a new model on a previous model’s outputs “distillation,” and it works like this: If you want to build your own large language model (LLM) but lack the billions of dollars and years of work that Google spent training Gemini, you can use a previously trained LLM as a shortcut.

Attackers prompted Gemini over 100,000 times while trying to clone it, Google says Read More »

openai-researcher-quits-over-chatgpt-ads,-warns-of-“facebook”-path

OpenAI researcher quits over ChatGPT ads, warns of “Facebook” path

On Wednesday, former OpenAI researcher Zoë Hitzig published a guest essay in The New York Times announcing that she resigned from the company on Monday, the same day OpenAI began testing advertisements inside ChatGPT. Hitzig, an economist and published poet who holds a junior fellowship at the Harvard Society of Fellows, spent two years at OpenAI helping shape how its AI models were built and priced. She wrote that OpenAI’s advertising strategy risks repeating the same mistakes that Facebook made a decade ago.

“I once believed I could help the people building A.I. get ahead of the problems it would create,” Hitzig wrote. “This week confirmed my slow realization that OpenAI seems to have stopped asking the questions I’d joined to help answer.”

Hitzig did not call advertising itself immoral. Instead, she argued that the nature of the data at stake makes ChatGPT ads especially risky. Users have shared medical fears, relationship problems, and religious beliefs with the chatbot, she wrote, often “because people believed they were talking to something that had no ulterior agenda.” She called this accumulated record of personal disclosures “an archive of human candor that has no precedent.”

She also drew a direct parallel to Facebook’s early history, noting that the social media company once promised users control over their data and the ability to vote on policy changes. Those pledges eroded over time, Hitzig wrote, and the Federal Trade Commission found that privacy changes Facebook marketed as giving users more control actually did the opposite.

She warned that a similar trajectory could play out with ChatGPT: “I believe the first iteration of ads will probably follow those principles. But I’m worried subsequent iterations won’t, because the company is building an economic engine that creates strong incentives to override its own rules.”

Ads arrive after a week of AI industry sparring

Hitzig’s resignation adds another voice to a growing debate over advertising in AI chatbots. OpenAI announced in January that it would begin testing ads in the US for users on its free and $8-per-month “Go” subscription tiers, while paid Plus, Pro, Business, Enterprise, and Education subscribers would not see ads. The company said ads would appear at the bottom of ChatGPT responses, be clearly labeled, and would not influence the chatbot’s answers.

OpenAI researcher quits over ChatGPT ads, warns of “Facebook” path Read More »

yet-another-co-founder-departs-elon-musk’s-xai

Yet another co-founder departs Elon Musk’s xAI

Other recent high-profile xAI departures include general counsel Robert Keele, communications executives Dave Heinzinger and John Stoll, head of product engineering Haofei Wang, and CFO Mike Liberatore, who left for a role at OpenAI after just 102 days of what he called “120+ hour weeks.”

A different company

Wu leaves a company that is in a very different place than it was when he helped create it in 2023. His departure comes just days after CEO Elon Musk merged xAI with SpaceX, a move Musk says will allow for orbiting data centers and, eventually, “scaling to make a sentient sun to understand the Universe and extend the light of consciousness to the stars!” But some see the move as more of a financial engineering play, combining xAI’s nearly $1 billion a year in losses and SpaceX’s roughly $8 billion in annual profits into a single, more IPO-ready entity.

Musk previously rolled social media network X (formerly Twitter) into a unified entity with xAI back in March. At the time of the deal, X was valued at $33 billion, 25 percent less than Musk paid for the social network in 2022.

xAI has faced a fresh wave of criticism in recent months over Grok’s willingness to generate sexualized images of minors. That has led to an investigation by California’s attorney general and a police raid of the company’s Paris offices.

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alphabet-selling-very-rare-100-year-bonds-to-help-fund-ai-investment

Alphabet selling very rare 100-year bonds to help fund AI investment

Tony Trzcinka, a US-based senior portfolio manager at Impax Asset Management, which purchased Alphabet’s bonds last year, said he skipped Monday’s offering because of insufficient yields and concerns about overexposure to companies with complex financial obligations tied to AI investments.

“It wasn’t worth it to swap into new ones,” Trzcinka said. “We’ve been very conscious of our exposure to these hyperscalers and their capex budgets.”

Big Tech companies and their suppliers are expected to invest almost $700 billion in AI infrastructure this year and are increasingly turning to the debt markets to finance the giant data center build-out.

Alphabet in November sold $17.5 billion of bonds in the US including a 50-year bond—the longest-dated dollar bond sold by a tech group last year—and raised €6.5 billion on European markets.

Oracle last week raised $25 billion from a bond sale that attracted more than $125 billion of orders.

Alphabet, Amazon, and Meta all increased their capital expenditure plans during their most recent earnings reports, prompting questions about whether they will be able to fund the unprecedented spending spree from their cash flows alone.

Last week, Google’s parent company reported annual sales that topped $400 billion for the first time, beating investors’ expectations for revenues and profits in the most recent quarter. It said it planned to spend as much as $185 billion on capex this year, roughly double last year’s total, to capitalize on booming demand for its Gemini AI assistant.

Alphabet’s long-term debt jumped to $46.5 billion in 2025, up more than four times the previous year, though it held cash and equivalents of $126.8 billion at the year-end.

Investor demand was the strongest on the shortest portion of Monday’s deal, with a three-year offering pricing at only 0.27 percentage points above US Treasuries, versus 0.6 percentage points during initial price discussions, said people familiar with the deal.

The longest portion of the offering, a 40-year bond, is expected to yield 0.95 percentage points over US Treasuries, down from 1.2 percentage points during initial talks, the people said.

Bank of America, Goldman Sachs, and JPMorgan are the bookrunners on the bond sales across three currencies. All three declined to comment or did not immediately respond to requests for comment.

Alphabet did not immediately respond to a request for comment.

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