The Superintelligence Observer
Hugging Face

ALTK-Evolve: how learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

A Hugging Face post describes ALTK-Evolve, which uses learned memory to reach the top of the τ²-bench leaderboard on customer service tasks without relying on a frontier model.

Related stories

The Next Web

MIT's AI agent society result holds up on consumer hardware

In August, MIT researchers showed that a society of AI agents placed in a shared world without instructions could invent, build and maintain technology better than the same agents working alone. A team working with Apex Fusion has now reproduced the result on consumer hardware rather than a hosted frontier model.