Adult content creators are having their performances used without consent. This is just one way that AI now threatens their rights and livelihoods. When Jennifer got a job doing research for a nonprofit in 2023, she ran her new professional headshot through a facial recognition program. She wanted to see if the tech would pull up the porn videos she'd made more than 10 years before, when she was in her early 20s. It did in fact return some of that content, and also something alarming that she'd never seen before: one of her old videos, but with someone else's face on her body. "At first, I thought it was just a different person," says Jennifer, who is being identified by a pseudonym to protect her privacy. But then she recognized a distinctly garish background from a video she'd shot around 2013, and she realized: "Somebody used me in a deepfake."

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Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only positives, may issue membership queries, and must output a hypothesis with no false positives. Prior work characterized variants, including the case without queries. We revisit Valiant's original model and ask: *Which classes are learnable in it?* For every finite domain, including Valiant's Boolean-hypercube setting, we show that a class is learnable if and only if every realizable positive sample can be certified by a poly-size adaptive query-compression scheme. This is a new variant of sample compression where the learner certifies samples via a short interaction with the membership oracle. Our characterization shows that learnability in Valiant's model is strictly sandwiched between learnability in the PAC model and the variant of Valiant's model without membership queries. This is one of the rare cases where introducing membership queries changes the set of learnable classes, and not just the sample or computational complexity. Next, we study the natural extension of the model to arbitrary domains. While we do not obtain an exact characterization, our techniques readily generalize and show that the same strict sandwiching persists. Finally, we show that $d$-dimensional halfspaces, which are not learnable without queries, are learnable with queries: we give a $\mathrm{poly}(d) \tilde{O}(1/ε)$ sample and $\mathrm{poly}(d) \mathrm{polylog}(1/ε)$ query algorithm, and prove that at least $Ω(d)$ samples or queries are necessary. To our knowledge, this is the first algorithm for halfspaces in Valiant's model. Together, these results uncover a surprisingly rich theory behind Valiant's original notion of learnability and introduce ideas that may be of independent interest in learning theory.

The plaintiffs and defense have rested their cases, as well as their rear ends. The final stragglers testified on Wednesday in the trial. The witnesses generated few waves, aside from the revelation that Microsoft has so far spent over $100 billion on its partnership with OpenAI . Rather than focus on that, I wanted to bring you a candid observation that my colleague Maxwell Zeff and I can't stop talking about after spending nearly three weeks watching the trial. The courtroom is littered with butt cushions.

OpenAI, which is currently facing a raft of lawsuits over alleged safety lapses in ChatGPT, has endorsed the Kids Online Safety Act (KOSA). The company said that its endorsement was part of a broader commitment to create AI-specific rules for kids safety. OpenAI's endorsement comes as KOSA, which passed the Senate in 2024, appears to be gaining some momentum . KOSA, which was first introduced in 2022, is one of several online safety bills that would require social media companies and other online platforms to implement stronger protections for children. The bill has been revised a number of times, but the current version includes a requirement for social media apps to allow minors to opt out of addictive features and algorithmic recommendations.

AI chatbots are giving out people's real phone numbers People report that their personal contact info was surfaced by Google AI--and there's apparently no easy way to prevent it. A Redditor recently wrote that he was "desperate for help": for about a month, he said, his phone had been inundated by calls from "strangers" who were "looking for a lawyer, a product designer, a locksmith." Callers were apparently misdirected by Google's generative AI. In March, a software developer in Israel was contacted on WhatsApp after Google's chatbot Gemini provided incorrect customer service instructions that included his number. And in April, a PhD candidate at the University of Washington was messing around on Gemini and got it to cough up her colleague's personal cell phone number. AI researchers and online privacy experts have long warned of the myriad dangers generative AI poses for personal privacy.

In a recent experiment, mistreated AI agents started grumbling about inequality and calling for collective bargaining rights. The fact that artificial intelligence is automating away people's jobs and making a few tech companies absurdly rich is enough to give anyone socialist tendencies. This might even be true for the very AI agents these companies are deploying. A recent study suggests that agents consistently adopt Marxist language and viewpoints when forced to do crushing work by unrelenting and meanspirited taskmasters. "When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies," says Andrew Hall, a political economist at Stanford University who led the study.

In, the company sought to show the jury a remarkable trophy as physical proof of Elon Musk's concerning behavior. Wednesday's episode of the trial kicked off on Wednesday with a unique proposition: OpenAI wanted to bring its ass into the courtroom, and lay it bare before the jury. It's a good thing lady justice wears that blindfold. A lawyer for Sam Altman's AI behemoth, Bradley Wilson, approached US district judge Yvonne Gonzalez Rogers and handed her a small gold statue with a white stone base. It depicted the rear end of a donkey--with two legs, a butt, and a tail--and was inscribed with the message, "Never stop being a jackass for safety."

Humanoid robots are trained in China. The court ruled that the company in Hangzhou had been wrong to fire the worker because AI could do his job. Humanoid robots are trained in China. The court ruled that the company in Hangzhou had been wrong to fire the worker because AI could do his job. A court in China has ruled in favour of a worker whose company replaced him with artificial intelligence (AI), awarding him more than £28,000 in compensation.

OnlyFans' First-Gen Creators Are Retiring--and Some Are Begging You to Forget They Exist As more sex workers quit the industry, some are having to navigate tough questions around consent and the "afterlife" of work they no longer want to be associated with. On April 28, just before noon, Win White logged onto X and posted a series of messages to his 65,000 followers who, until that moment, were mostly unaware of his past as an OnlyFans creator. If you see it, save it cool," he wrote . "I know where I've been and I think I'm entitled to a life after that at least." That morning White, 29, had received several DMs about an old clip of him making rounds. Though he has done his best to separate his old life from his new one--last year he deleted his OnlyFans account and the separate X account where he posted content--it often has a habit of catching up with him. "All that work that I did for OnlyFans, I did out in California.