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New AI Law & Policy Update from me and dan bateyko! 🖼️Copyright litigation & policy developments 📈Llama ablation studies revealed during litigation 🤖ChatGPT for gov ➕and more. Subscribe for more AI law & policy updates!

New Data Leverage newsletter post. It's about... data leverage (specifically, evaluation-focused bargaining) and products du jour (deep research, agents). Newsletter accessible by an *xternal l*nk in profile desc.

👀 dataleverage.substack.com/p/bing-rewards…

Human (often unpaid Peer producer) labor is the real backbone one the AI economy. Open source software developers; Wikipedia editors; subject matter expert data annotators; field scientists and lab scientists testing theories in practice and feeding back empirical data and notes.

New early draft post: "Public AI, Data Appraisal, and Data Debates" "A consortium of Public AI labs can substantially improve data pricing, which may also help to concretize debates about the ethics and legality of training practices." (blog in bio)

Anyone seen any additional argumentation / justification for the goals and framing presented here? In particular, the link for how this will lead to abundance? Tonally, just find the current version kind of jarring and surreal.

Saffron Huang and I describe the opportunity we have today to ensure that advanced AI fosters inclusive economic growth and widely shared prosperity rather than extreme concentrations of economic and political power. Published today in Noema Magazine

we released OLMo 2 1B, showing again how well our OLMo 2 pretrain & post train recipe works! Our small 1B model is comparable or better than other top open weights-only alternatives while maintaining full open data, code & intermediate checkpoints!

Future headline: Research community shocked; LLM data details leaked after Claude 4 uses command-line tools to send a full datasheet to journalists! x.com/sleepinyourhat…

Is there public napkin math on this claim? My impression is this is possible (and some actors will pursue) but won't be easy or trivial barring a social/regulatory environment that massively suppresses labour leverage (and turns most white collar work into surveilled/precarious)

There is still a lot of uncertainty and disagreement about when/if such large scale labor market disruption from AI might occur. That means we should 1. Reduce our uncertainty through better measurement and monitoring 2. Strengthen adaptive capacity, including by designing

Congratulations to #SFU PhD student Haidan (Afra) Liu, who won the Best Poster Award in HCI at Graphics Interface 2025 for her work: How Artists Navigate Learning With Generative Image Technologies. Graphics Interface is a conference specializing in computer graphics and HCI.