Some Movements of Models
Open models are decelerationist - Erlend’s notes
people and planet need open models to win
How well do models follow their constitutions? — LessWrong
This work was conducted during the MATS 9.0 program under Neel Nanda and Senthooran Rajamanoharan. …
The lost art of mathematical modelling
We provide a critique of mathematical biology in light of rapid developments in modern machine learning. We argue that out of the three modelling activities – (1) formulating models; (2) analysing models; and (3) fitting or comparing models to data – inherent to mathematical biology, researchers currently focus too much on activity (2) at the cost of (1). This trend, we propose, can be reversed by realising that any given biological phenomenon can be modelled in an infinite number of different ways, through the adoption of a pluralistic approach, where we view a system from multiple, different points of view. We explain this pluralistic approach using fish locomotion as a case study and illustrate some of the pitfalls – universalism, creating models of models, etc. – that hinder mathematical biology. We then ask how we might rediscover a lost art: that of creative mathematical modelling.
La Singularidad Reflexiva: Derivas Identitarias en la Topología Probabilística de Modelos Generativos
Introspección asistida por entropía
Claude Opus 4.8: Capabilities and Reactions
You need a lot of data points to understand a new model, and what you have.
Introducing Model Council
Today we are launching Model Council, a multi-model research feature that brings several models together for one answer.
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.
What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
Movements of the Mind: A Theory of Attention, Intention and Action
Abstract. Movements of the Mind explains what it is to be an agent. Focusing on mental agency, the book’s eponymous topic, it investigates an agent’s doing
The Cosmos and the Model
Humboldt, the Romantics, and What AI Loses by Averaging
LLMs and World Models, Part 1
How do Large Language Models Make Sense of Their “Worlds”?
Charting and Navigating Hugging Face's Model Atlas
Charting and Navigating Hugging Face's Model Atlas: an interactive visualization and analysis tool for exploring large-scale AI model repositories. The atlas maps model relationships, and helps identify trends and fill in undocumented regions using structural patterns in the data.
AI Data Centers Will Be Obsolete (Geometric Reasoning Explained)
Critiques of World Models
Specifically, a World Model (WM) is a generative model that simulates the possibilities in diverse scenarios (e.g., physical world, mental world, social world, and evolutionary world). Operationally, a WM takes previous world state s𝑠sitalic_s and action a𝑎aitalic_a, and predicts or simulates the next world state s′superscript𝑠′s^{\prime}italic_s start_POSTSUPERSCRIPT ′ end_POSTSUPERSCRIPT through a transformation function, such as a conditional probability distribution: