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evijit 
posted an update 11 minutes ago
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Weekend mini project! Since commentary on AI is inherently interdisciplinary, we connected the observations in the Pope's encyclical with decades of scholarship in Responsible AI and Ethics research and created an interactive space with these annotations!

Work with @IJ-Reynolds , @yjernite , and @meg

Lots to unpack. We started with 105 annotations. Please submit pull requests for more that we may have missed!

society-ethics/annotated-encyclical
evijit 
posted an update 8 months ago
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AI for Scientific Discovery Won't Work Without Fixing How We Collaborate.

My co-author @cgeorgiaw and I just published a paper challenging a core assumption: that the main barriers to AI in science are technical. They're not. They're social.

Key findings:

🚨 The "AI Scientist" myth delays progress: Waiting for AGI devalues human expertise and obscures science's real purpose: cultivating understanding, not just outputs.
📊 Wrong incentives: Datasets have 100x longer impact than models, yet data curation is undervalued.
⚠️ Broken collaboration: Domain scientists want understanding. ML researchers optimize performance. Without shared language, projects fail.
🔍 Fragmentation costs years: Harmonizing just 9 cancer files took 329 hours.

Why this matters: Upstream bottlenecks like efficient PDE solvers could accelerate discovery across multiple sciences. CASP mobilized a community around protein structure, enabling AlphaFold. We need this for dozens of challenges.

Thus, we're launching Hugging Science! A global community addressing these barriers through collaborative challenges, open toolkits, education, and community-owned infrastructure. Please find all the links below!

Paper: AI for Scientific Discovery is a Social Problem (2509.06580)
Join:
hugging-science

Discord: https://discord.com/invite/VYkdEVjJ5J
RomainFroger 
published an article 8 months ago
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Gaia2 Leaderboard Update: New Models and New Observations

meta-agents-research-environments
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