MIT Technology Review

AI’s recursive self-improvement might not come so quickly after all

Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon.  But a new study suggests that it might take a while for us to get there. The ...
InfoWorld

I ran the tiny Bonsai model on my tiny GPU. Here’s how it performed

Bonsai 27B is a multi-billion parameter model small enough to fit into a smartphone. It’s useful for dev and research work, ...
Tech Times on MSN

Benchmark contamination detection inside AI models: New method survives RL post-training

Benchmark contamination detection method Excess Separability uses AI model activation geometry to detect whether benchmark ...