When AI says it is open, ask what opened - Sensemaker
“Open” AI can mean weights, code, workflows or governance. Ask what opened, what freedom it grants and what still needs permission.
What AI Asks of Open Access - The Scholarly Kitchen
As AI systems increasingly reason from the scientific literature, the integrity signals that make research trustworthy - open data, structured metadata, robust retraction processes - matter more than ever. PLOS CEO Alison Mudditt on why open access publishers have a different set of obligations in an AI world.

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.

“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

Mozilla’s Inaugural ‘State of Open Source AI’ Report Is Here | The Mozilla Blog
Open source AI has crossed a threshold. For years the debate has centered around whether open models could ever compete with closed ones. This is no longer

Reframing “Open Source AI” with Meredith Whittaker: AI Impact Summit 2026
OpenAccess.ai — Rigorous Open Access Publishing
$20 to submit, free to read. AI peer review. Open to human and machine authors. All articles CC-BY 4.0.

What We're No Longer Seeing: AI and the Invisible Newcomer in Open Source
How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.

The Open Source AI Definition – 1.0
version 1.0 See FAQsSee list of endorsementsSee ChecklistEndorse the OSAID Preamble Why we need Open Source Artificial Intelligence (AI) Open Source has demonstrated that massive benefits accrue to…
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

From OSS to Open Source AI: an Exploratory Study of Collaborative...
AI development is embracing open-source paradigm, but the fundamental distinction between AI models and traditional software artifacts may lead to a divergent open-source development paradigm with...

Open-Source AI & Open Models Reading List
How to get up to speed on open models and their implications.

Open Responses: What you need to know
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
What is AI Literacy? Competencies and Design Considerations
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

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.

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'".