LLMS

→ View original post on X — @maximelabonne

Dynamic Fine-Tuning (DFT) combines SFT loss with forward KL penalty

By

@maximelabonne

–

21 May 2026 0h31

This is so neat! Dynamic Fine-Tuning (DFT) reweights the SFT loss by the model's own token probability, which creates a feedback loop. So they added forward KL to penalize any token the base finds likely, but the policy has pushed toward zero probability. DFT and forward KL

Inquiry into AI model training methodology and data augmentation

By

–

21 May 2026 0h26

i would be pretty interested to know if anything other than scale had changed and want to know about the training, whether there was a lot of symbolically generated augmented data, etc

→ View original post on X — @abacusai

Abacus AI ChatLLM Integrates RouteLLM for Model Comparison

By

@abacusai

–

21 May 2026 0h20

RouteLLM – Use The Best AI For Your Prompt Opus 4.7, GPT 5.5 And Gemini doing their best work!! All running inside Abacus AI ChatLLM – one workspace to access, compare, and switch between the top frontier models without juggling tools. Opus 4.7 → deep reasoning, long-form

→ View original post on X — @willknight

AI Models Enhance Robot Control, Accelerating Robotics Adoption

By

@willknight

–

20 May 2026 23h25

It is truly mind-blowing how capable Claude and Codex now are at configuring and controlling robots. My own experiments (with a lerobot 101) point to a fascinating new trend in robotics that could accelerate adoption. Many thanks to @Ken_Goldberg and @spencerhuang_ for their

→ View original post on X — @kimmonismus

OpenAI preparing for release of upcoming general-purpose LLM

By

@kimmonismus

–

20 May 2026 23h20

OpenAI is aiming for a release of their upcoming general-purpose LLM. „We have not pushed this model to the limit on open problems. Our focus is to get it out quickly so that everyone can use it for themselves.“ What makes this so impressive is that a general-purpose LLM, not

Inquiry into the architectural basis of recent AI math breakthroughs

By

–

20 May 2026 23h19

is the new math result neurosymbolic with Lean, harnesses etc or a pure LLM?

Neurosymbolic systems vs LLMs for mathematical reasoning

By

–

20 May 2026 23h17

i am betting it was a neurosymbolic system rather than a pure LLM, and i have already said that’s a route to doing well in math. have not seen the details

Debating the Role of Neurosymbolic Systems in Mathematical AI

By

–

20 May 2026 23h15

how much you want to bet that symbolic tools such as lean were involved and that this was not a pure LLM? i have said numerous times that neurosymbolic systems do well on math: pretty sure this was one.