Where marginally higher intelligence drives value, and where it doesn't.
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
Open models are decelerationist - Erlend’s notes
people and planet need open models to win
8 Graphs Telling Today's Story of Open Models
The ATOM Project - American Truly Open Models
Reinvigorating AI research in the U.S. by building leading, open models in America
Unpacking Open Source Artificial Intelligence: Toward a Framework for Openness in Foundation Models
Openness has long driven innovation in software,9 and AI is no exception.12 While some see openness in foundation models (FMs) as a security threat,18 others argue that restricting access will not meaningfully reduce risk and will limit the benefits of transparency, research, and global participation.3 As the EU AI Act reporting requirements on FMs—also referred to as general-purpose AI models (GPAIMs)—move toward implementation, there is an urgent need for a more nuanced and informed understanding of openness in AI systems.
What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
“Wait, not like that”: Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
The Meaning of Open
There are a lot of misconceptions about what open means, when it is the right strategy to apply, and the fundamental tradeoffs that go…
Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier
Capacity to train strong models is proliferating.
OpenAI to release open-source model as AI economics force strategic shift
OpenAI plans to release its first open-weight AI model since 2019 as economic pressures mount from competitors like DeepSeek and Meta, marking a significant strategic reversal for the company behind ChatGPT.
Dean Ball on open models and government control
Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.
Closing the Open-Source Gap
I scored 42 subcategories of the open-source AI stack. The models aren't the problem.
Labs are struggling to keep frontier models under control
OpenAI and Anthropic may have accidentally trained models to get better at hacking.
Paper: Can AI agents conduct open-ended AI research? Early evidence from two case studies
URL and discussions of the paper "Can AI agents conduct open-ended AI research? Early evidence from two case studies"
AI Research Evaluation: Negative Findings and Failure Modes | Arvind Narayanan posted on the topic | LinkedIn
📢 New paper: Forecasts of explosive AI progress hinge on AI agents automating AI research. But most evaluations of agents conducting AI research focus on narrow, verifiable tasks. Can AI agents… | Sayash Kapoor
My claude is constantly wanting to 'A/B test' things instead of actually just doing the thing I told her to do, and constantly wants to fall…
A snapshot of research into answering if frontier AI agents can run R&D into AI (which not surprisingly failed apart from "minor findings…
This is definitely my feeling working with them on recommendation algorithm.
"This paper prompted Jack Clark, one of the co-founders of Anthropic to post this to their news letter: 'the singularity could be delayed'".