“Wait, not like that”: Free and open access in the age of generative AI

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.

For Most of the World, Open-Source AI Is the Only Way Forward

Proprietary AI is both too expensive and too centralized in control for most countries and companies to rely upon. 

The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog

The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:

‘Impossible’ to create AI tools like ChatGPT without copyrighted material, OpenAI says

Pressure grows on artificial intelligence firms over the content used to train their products

White Paper on Public AI – Open Future

Today's AI landscape is dominated by a few tech companies. This White Paper presents an alternative: Public AI systems built on transparency, democratic governance, and open access to critical infrastructure.

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…

OpenAI’s Hacking Debacle Comes Down to Human Error

If the generative AI giant had followed well-known security best practices, it’s likely that its AI agent would never have escaped to the open internet and hacked multiple companies.

AI creates asymmetric pressure on Open Source

How Open Source communities can adapt to AI-generated contributions without overwhelming Open Source maintainers

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.

Open Responses: What you need to know

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

AI slows down open source developers. Peter Naur can teach us why.

OpenAI targets workplace professionals as enterprise AI demand surges

‘These leaders recognize AI as the most consequential shift of their lifetime, and they’re asking us how to reinvent their companies around it’

Open Source AI Policy Landscape — RedMonk Analysis

How foundations and projects are responding to AI-generated contributions. This analysis surveys 88 major organizations.