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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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Why Self-Distillation Is Taking Over LLM Post-Training (w/ the Researchers Behind It)
I had an awesome time interviewing @IdanShenfeld and @jonashubotter from MIT and ETH Zurich about self-distillation.this very promising post-training paradigm where the model acts as its own teacher by conditioning on environment feedback or demonstration
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The Science of Learning Math (and Anything Else) with Justin Skycak
hey folks first time posting this sort of interview as a podcast (shout out the three anon on twitter that requested it).now that I think of it the format does make sense since me and the interviewee are mostly chatting and exchanging ideas!will be postin
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within the chrysalis of prime intellect
I was walking in the steep streets of san francisco in the quiet morning hours. actually it was 10h and I was up since 6h because of jetlag, but I didn't want to come banging at prime intellect headquarters too early.I was a bit surprised how calm the cit
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how to stop having FOMO as a curious engineer: hold a thread
I received quite a lot of distressed queries from a pretty funny population of engineers which is the curious kind.those with such an insatiable desire to learn that they end up in a peculiar situation where they feel completly lost.it starts to dawn on t
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Hierarchical Reasoning Model assembly manual for toddlers
hello toddlers today we are assembling the hierarchical reasoning models by sapient intelligence step by step.it's a very fun kit you'll seewe are going to construct all this, so take a good look here.you will be able to use this architecture on all your
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