From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778
Artikelbild eller återanvändbart omslag för TWIML AI
AI systems have gone from struggling with grade-school math to helping solve research problems that have resisted mathematicians for decades, including Navier-Stokes.
In this episode, Greg Burnham, who leads AI capabilities research at Epoch AI, joins us to examine what that progress says about where AI is going. We look at how these systems are solving hard math problems, how much they rely on persistence and prior human work, and whether they are starting to produce genuinely new ideas. We also discuss how to measure progress as traditional benchmarks become less useful, why capability gains appear surprisingly steady across model generations, and where models still struggle with open-ended work, learning from experience, and identifying promising new research directions. 🗒️ Full show notes: https://twimlai.com/go/778.
Texten är källans egen beskrivning av publiceringen. Innehållet tillhör TWIML AI.
Mer att läsa
Lumaril, which develops AI software for optimizing industrial production by connecting to existing control systems, raised a $66M Series A at a $400M valuation
Techmeme för 2 tim sedan
DeepSeek open sources Super-Agent as a research prototype, a proactive coding agent it says can monitor group chats for coding issues and suggest solutions
Techmeme för 2 tim sedan
Insurance software maker Guidewire agrees to acquire Hyperexponential, which makes AI-powered insurance underwriting and pricing software, for $1.7B in cash
Techmeme för 2 tim sedan
One word for AI agents in 2027
Nate Herk för 6 tim sedan