Why did editing 0.016% of AI weights increase math performance by 6x? The mechanics and configuration secrets of the MIT study

Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...
eu.36kr

Radical hardware revamping is the first AI dividend that ordinary people can enjoy.

Previously requiring off-site modification five to six years ago, this advanced machine now supports on-demand, anytime ...
news.lavx.hu

Thinking Machines Lab releases Inkling 2 Small, a 17B-parameter MoE model with open weights coming next week

Thinking Machines Lab unveiled Inkling 2 Small, a mixture-of-experts model with 594B total parameters and 17B active that ...
Science Friday

Meet the tiny, see-through fish that can regenerate its brain

A tiny glassfish is becoming a model species for scientists. What could it teach us?
The Dong-a Ilbo

In the Era of AI-Assisted Coding, How Do We Protect the Student’s Thinking Process?

- Akeo Edu developed VibeBlock to stop generative AI from becoming a "black box," helping students understand code structure ...