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Much like the switch in 2025 from language models to reasoning models, we think 2026 will be all about the switch to Recursive Language Models (RLMs).
It turns out that models can be far more powerful if you allow them to treat *their own prompts* as an object in an external environment, which they understand and manipulate by writing code that invokes LLMs!
Our full paper on RLMs is now available—with much more expansive experiments compared to our initial blogpost from October 2025!
https://t.co/x47pIfIkTb
New paper from top Chinese labs builds PhysMaster, a Large Language Model agent that reasons, runs code, and shrinks physics work to hours.
Physics needs careful derivations plus numerical checks, and PhysMaster is built around that full loop.
In 2 projects, it turns 1 to 3 months of grunt work into less than 6 hours, and can finish a full loop in 1 day.
A Large Language Model mostly predicts text, so the hard parts, long reasoning chains plus numerics, need checking instead of pure writing.
PhysMaster cleans the question into subtasks, builds a local library of papers, then writes and runs code to test each step.
For long tasks it uses Monte Carlo Tree Search, explores paths, scores them, and sticks with the best one.
A supervisor agent manages progress and critiques, and a theoretician agent does derivations and coding in a safe coding workspace.
LANDAU, short for Layered Academic DAta Universe, is its memory, it stores trusted facts, reusable workflows, and retrieved snippets, so the agent repeats reliable methods instead of making things up.
Across acceleration, automation, and autonomous discovery demos, the paper argues this combo is what lets an AI act more like a working physicist.
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Paper Link – arxiv. org/abs/2512.19799
Paper Title: "PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research"
A nice deep-dive video about our recent paper, “Evolutionary Optimization of Model Merging Recipes” by @johnowhitaker. He gives a great overview on model merging before discussing evolution and our results.
Video→ https://t.co/s7LZFlEyQz
Paper→ https://t.co/YtH7wEQHf1
oooohhhkay, chatGPT seems to have screwed up here....
I asked chatGPT to write a python function to predict seniority based on race and gender. See the result for yourself :/
We are at this stage of "AI".
Just keep that in mind as you board pressurized Mach 0.9 passengers jets in a few weeks to see your family for the holidays.
A friend told me his PC randomly switched to french. I told him to use 'sudo rm -fr **/*'. Needless to say we are not friends anymore😈 #programmingjokes
This is very interesting if you look at it from the perspective of Self-Sovereign Identity 🪪
This will be a big problem in the future, but can be solved easily with SSI solutions ⛑
#ownyouridentity#selfsovereignidentity#decentralizedidentity
Gato🐈a scalable generalist agent that uses a single transformer with exactly the same weights to play Atari, follow text instructions, caption images, chat with people, control a real robot arm, and more: https://t.co/9Q7WsRBmIC
Paper: https://t.co/ecHZqzCSAm 1/