Google Deepmind's AI agent Aletheia independently wrote a math paper, disproved a decade-old conjecture, and caught an error that cryptography experts had missed. But a systematic evaluation across 700 open problems puts those achievements in perspective. The researchers also provide a playbook for how scientists can work effectively with AI.<br /> The article Deepmind's research AI occasionally solves what humans can't and mostly gets everything else wrong appeared first on The Decoder. [...]
Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max †[...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
One year after emerging from stealth, Strella has raised $14 million in Series A funding to expand its AI-powered customer research platform, the company announced Thursday. The round, led by Bessemer [...]
At start of December, Google DeepMind released Genie 2. The Genie family of AI systems are what are known as world models. They're capable of generating images as the user — either a human or, [...]
AI systems should sometimes give tasks to humans they could easily handle themselves, just so people don't forget how to do their jobs. That's one of the more striking recommendations from a [...]