Researchers Stress-Test Alignment Midtraining Across 110-Billion-Parameter AI Models

Alignment midtraining is a prominent strategy for teaching models to generalize beyond post-training data, but the researchers argue public evidence remains insufficient to prove it solves core AI alignment challenges.

Stress-testing Alignment Midtraining ArXiv CS.AI

Researchers Stress-Test Alignment Midtraining Across 110-Billion-Parameter AI Models

Latent Space interviews MIT's Alex Zhang on Recursive Language Models and harness design

arXiv paper claims a self-improvement loop lifted robot task success from 28.6% to 95.0%

ZFO optimizer pairs a first-order direction with a cheap zeroth-order step search for LLM fine-tuning

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