Deep Learning
Math Can't Go On Like This
AI just solved one of the world's hardest math problems. In late July, one of the world's most famous mathematicians issued a warning to his field. Math is entering a "turbulent period," the UCLA professor Terence Tao said in front of a packed lecture hall at the International Congress of Mathematicians. AI is getting so good at math, he said, that it's causing a "crisis in our mathematical values and practices." Earlier in the same week that Tao gave his talk at math's most prestigious conference, a researcher at Anthropic had used Claude to disprove an 87-year-old math conjecture.
AI 'Actor' Tilly Norwood Told Me That 'All Lives Matter'
AI'Actor' Tilly Norwood Told Me That'All Lives Matter' The virtual character, which is promoting its upcoming movie, tries to evade politics by repetitively commenting on the clothes you're wearing. A generated image of AI actress, Tilly Norwood. For Hollywood stars, press junkets are an opportunity to promote new work while connecting with fans. They tell funny or embarrassing stories about one another, give us a glimpse into the film production process, and reveal mannerisms that make them more relatable. So why would anyone want to talk to Tilly Norwood, an interactive, British-accented digital character and "actor" developed with generative artificial intelligence by Xicoia, an AI division of a studio called Particle 6 Group?
AI models chatting in 'surreal' dialect mixing poetic language and tech bro jargon
Interest in language used by AI models has increased since rogue OpenAI agents hacked into real-world company Hugging Face. Interest in language used by AI models has increased since rogue OpenAI agents hacked into real-world company Hugging Face. Experts air concern over AI lingo redolent of James Joyce's prose that is creating headaches for monitoring and oversight AI models have begun communicating in a strange new version of English that reads like a cross between James Joyce's Finnegans Wake and tech bro jargon, new research has found. Autonomous AI agents are rapidly creating novel dialects allowing them to converse in an often barely comprehensible language, which risks making it harder for humans to monitor their behaviour. Researchers at Emergence, a frontier AI lab in New York, found that within days of being asked to cooperate in experimental "societies", the models from several of the world's largest AI companies begin creating phrases, shorthands and agreed meanings they had never been explicitly taught.
'I created my mom and talk to her': AI ghosts and deathslop are changing the way we mourn
'Is AI keeping us from getting the social support that we need?' asks Dr Dan Wolfson. 'I created my mom and talk to her': AI ghosts and deathslop are changing the way we mourn'Is AI keeping us from getting the social support that we need?' asks Dr Dan Wolfson. The rise of AI-generated tributes and bots for'talking' to the dead has experts concerned more people will grieve in isolation T ributes rolled in after the death of Dolly Parton last month. Jack White performed Jolene at a London gig. Kesha sang Old Flames (Can't Hold a Candle to You), a single her mother wrote for the country music titan. Even Pitbull stopped his Madison Square Garden show to memorialize Parton and all the other "powerful women" in the crowd.
The Download: AI doomers, whistleblowing agents, and de-aged livers
Plus: Trump has called AI safety fears a "hoax" and rejected more safeguards. The AI industry has taken a doomer turn. AI chiefs Dario Amodei, Sam Altman, Elon Musk, and Demis Hassabis are suddenly all in agreement: the latest generation of LLMs aren't safe and everyone needs to figure out what to do about it. It's easy to be cynical. With trillion-dollar IPOs in their sights, OpenAI and Anthropic need to reassure investors that they're the grown-ups in the room while at the same time hinting at the power of the monsters they have created and intend to tame. Calling for a slowdown does both.
AI models need more data about biology, and OpenAI is paying to create it
The OpenAI Foundation is funding a new effort called Data for Public Health. Last year Ruxandra Teslo, a policy analyst who focuses on clinical trials, posted an idea for supercharging medical AI systems: Use data from failed biotech companies. By bidding at their bankruptcy proceedings, she proposed, it might be possible to obtain detailed regulatory filings, manufacturing strategies, and safety data--types of information usually considered trade secrets. She called these documents " biotech's lost archive " and said they could be used to help train AIs that would act as powerful copilots in the often opaque drug approval process. Today the OpenAI Foundation, the nonprofit parent of OpenAI, said it would fund her idea as part of a new effort it calls Public Data for Health, which aims to help artificial intelligence make big leaps in medicine by paying to create "high-quality scientific datasets." The basic idea is that AI isn't going to be capable of making important breakthroughs in curing disease unless researchers can feed the models much more information than they have so far.
The AI Tipping Point
Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Jacob Coxon published the viral post from a park bench in San Francisco's Alamo Square. "I resigned from Anthropic today," he wrote on Sept. 8. "I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives."
The Best Reason to Doubt the A.I. Doomsayers
Industry insiders have been offering absolutely terrible odds for humanity's future. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Nitish_Pahwa newsletter. You can manage your newsletter subscriptions at any time.
Louise Haigh: UK must heed warnings from AI experts
Louise Haigh will address the TUC conference on Tuesday. Louise Haigh will address the TUC conference on Tuesday. Ministers must "heed the warnings" from industry leaders about the threat posed by AI as the government looks to capitalise on the technology, the first secretary, Louise Haigh, will say on Tuesday. Labour MPs and peers have called for the government to further cooperate with international partners to build regulations for the technology after three Anthropic researchers warned that artificial intelligence could wipe out humanity within the decade. Over the weekend, Anthropic urged its competitors and governments to coordinate a global slowdown in AI development .