Today we are launching Model Council, a multi-model research feature that brings several models together for one answer.
A taxonomy for next-generation reasoning models
Where we've been and where we're going with RLVR.
Conceptual Models: The Hidden Structure Behind Your Next Great Interface
Discover the hidden structure behind every great UI. Master how to use conceptual models to design systems that users instantly understand and grow to trust.
Business Model Innovation - an overview | ScienceDirect Topics
Open models are decelerationist - Erlend’s notes
people and planet need open models to win
Pluralis Research
Protocol Learning — decentralized, communication-efficient model-parallel training for foundation models.
Ground the model, or it invents the evidence
Trusted, curated, subject-specific models are needed for academia
Models
Amp uses the best model for each task: leading generalist foundation models for complex reasoning and planning, and smaller specialized models for fast, accurate responses in specific domains.
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
Cross-Model Evaluation: kaish collection syntax across 7 LLMs (DeepSeek, Gemini, Claude, Gemma, GLM, Qwen)
Cross-Model Evaluation: kaish collection syntax across 7 LLMs (DeepSeek, Gemini, Claude, Gemma, GLM, Qwen) · GitHub
Crafting a good (reasoning) model
A recent talk I gave on model training, reasoning, and the next frontier.
What are Mental Models? — updated 2026
Harness the power of understanding and predicting user behavior with mental models. Simplify systems and enhance decision-making in your designs.
How well do models follow their constitutions? — LessWrong
This work was conducted during the MATS 9.0 program under Neel Nanda and Senthooran Rajamanoharan. …
Arcee AI | Arcee AI and mergekit unite
Several months ago, I stumbled upon an innovative technique in the world of language model training known as Model Merging. This SOTA approach involves the fusion of two or more LLMs into a singular, cohesive model, presenting a novel and experimental method for creating sophisticated models at a fraction of
swyx on Twitter / X
whoa so @thinkymachines is doing model merging + customized RLquite a come-up for merging in the past couple weeks, with @arcee_ai mergekit also featuring heavily in AFM. credit due to @jeremyphoward for being the first to make me take modelmerging seriously pic.twitter.com/DtXjX8li4t— swyx (@swyx) June 24, 2025
