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Overview
A newsletter untangling the complexity of deep learning and the brain! ideal for scholars, industry practitioners or toddlers. Click to read learning with yacine, by Yacine Mahdid, a Substack publication with thousands of subscribers.
News
Pretrained LLMs Are Surrounded by Task Experts feat Yulu Gan from MIT
sometime there is an idea that just makes other weird research results make so much more sense and sort of cascade to explain a whole bunch of phenomenon.neural thicket from the great yulu gan is one such paper that I absolutely loved from start to finish
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How to Measure Frontier LLM? with Florian Brand from Prime Intellect
Benchmarking LLM in 2026 is now a high stake task that requires deep expertise on LLM architecture, Prompt Engineering, Harness, Sandbox, Scoring, Hardware, Serving, and more. It's a much different exercise than in the past that have a big impact on the p
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How to Learn in the AI Age? with Ludwig & Lazarz
earlier this year I took two of my friends (ludwig and lazarz) on a big ol' discussion on how to leverage ai for learning purposes in general.what I like about these two lad is that they are their own man. they will say what they think without reserve (he
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How to Learn AI in 2026? (from a Stanford AI Researcher)
a whole lot of people have been asking me how to get into AI, or how to learn deep learning in 2026.I was about to update the usual advice I hand out, then I stopped and realized it would be soooooo much more useful to bring in other researchers opinion i
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Why DAGs Are Taking Over Auto-Research (w/ the Founders of Paradigma)
auto-research is starting to gain traction as a very viable paradigm for creating useful research discovery.now, that paradigm is still in its infancy and the infrastructure to hold all that trail of context as the agents blaze through experiments isn't w
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