The Decoder

Google Deepmind has founded the Deepmind Institute (DMI), an interdisciplinary research platform focused on AGI. Led by Demis Hassabis, Shane Legg, and James Manyika, the institute tackles questions around safety, governance, and control risks, drawing on experts from the arts, humanities, and policy alongside technologists. The article Google Deepmind launches interdisciplinary institute to tackle the big questions around AGI appeared first on The Decoder.

TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, is releasing a model that deliberately generates no text. Instead of chat responses, "Jev" delivers pure classifications for software, with response times starting at 70 milliseconds and extremely low token prices. The approach doesn't protect against mistakes, though. The system only guarantees that it will stick strictly to the preset options. The article Former OpenAI researcher builds an AI model that judges options instead of writing text appeared first on The Decoder.

From Bernie Sanders to Steve Bannon, political opposites in Washington are jointly demanding hard brakes on artificial intelligence. Sanders wants a construction freeze on data centers, while OpenAI is backing the FRONTIER Act and its mandatory outside safety audits for the first time. Despite Trump's skepticism, bipartisan pressure for binding AI rules keeps growing. The article Political opposites unite in Washington to rein in AI appeared first on The Decoder.

Anthropic researcher Jacob Coxon sparked an intense debate about existential AI risks with a single tweet. OpenAI researcher Daniel Selsam warns of a "ticking time bomb," and a former Deepmind researcher says AI could kill us all. In a survey of more than 1,500 leading AI researchers, the average estimated probability of an extinction scenario was 18 percent. That was in 2024. The number keeps climbing. The article Nearly one in five AI researchers already expected an extinction scenario from AI back in 2024 appeared first on The Decoder.

OpenAI and Anthropic tell corporate customers their data won't be used for training. But when Anthropic said it would store usage logs from its flagship model Fable for 30 days, Palantir, Nvidia, and Booz Allen Hamilton pulled back from using it for sensitive work. From boardrooms to research labs, AI companies still have a data trust problem. The article AI labs have a data trust problem that their policies haven't solved appeared first on The Decoder.