@drewlinsley.bsky.social

This paper is the result of >20 yrs of hard work by talented students, postdocs and collaborators, but none more than my co-author Ren Ng and his team in EECS. 1/n Novel color via stimulation of individual photoreceptors at population scale | Science Advances www.science.org/doi/10.1126/...

Novel color via stimulation of individual photoreceptors at population scale

Image display by cell-by-cell retina stimulation, enabling colors impossible to see under natural viewing.

science.org

Per source, NIH has been instructed to hold off from issuing ALL awards to Harvard, Cornell, Columbia, Brown, and Northwestern (including med schools) Agency staff have also been instructed to not speak about this funding freeze to grantees and applicants

🚨 Everyone needs to call their Dem Senator right now. They are starting to cave. Tell them: 1. Vote NO on Cloture AND 2. Vote NO on the Republican spending bill. Don’t let them pivot to reconciliation. GOP doesn’t need Dem votes on that and they know it. TODAY is the showdown. 🤳🏽: (202) 224-3121

Nice essay! "LLMs, while they already have all of humanity's knowledge in memory, haven't generated any new knowledge by connecting previously unrelated facts...We're currently building very obedient students, not revolutionaries."

Thomas Wolf@thomwolf.bsky.social · last yr.

I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a "compressed 21st century" Here: thomwolf.io/blog/scienti... It's an extension of this interview discussion from the AI summit: youtu.be/AxBd3G0lFLs?...

Pre-print 🧠🧪 Is mechanism modeling dead in the AI era? ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that. We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models 1/8

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Excited to release what we’ve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N

Different paths toward safe AI at different Marr's levels