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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.
An Alignment Journal: Features and policies — LessWrong
We previously announced a forthcoming research journal for AI alignment. This cross-post from our blog describes our tentative plans for the features…
“Label from Somewhere”: Reflexive Annotating for Situated AI Alignment
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AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
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The open authorial principle: supporting networks of authors in creating externalisable designs
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The Application and Its Consequences for Non-Standard Knowledge Work
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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...
OpenAI Shares Some Alignment Problems
Kudos to OpenAI for sharing their recent experiences with a misaligned internal model, where they encountered problems sufficiently severe they were forced to take the model offline to work on new mitigations and defense-to-depth.
The Due Process Deficit: Auditing AI Governance in U.S. Higher Education
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As we may think
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Open-Source AI & Open Models Reading List
How to get up to speed on open models and their implications.
Reframing “Open Source AI” with Meredith Whittaker: AI Impact Summit 2026
The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation
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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.
From novices to co-pilots: Fixing the limits on scientific knowledge production by accessing or building expertise
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A Three-Facet Framework for AI Alignment • Grace Kind
Here's a simple conceptual framework that I've been using recently to think about AI alignment.
