ᴅᴇᴇᴘ @sandeep24x
Übermensch of līla. Earth Joined March 2018-
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^ If you're like "geez, this tweet is so long, why don't you just turn it into a book," then you might find it funny that... there IS literally a book! 400+ pages, peppered with hundreds of scientific references throughout, freely available here: justinmath.com/books/#the-mat…
Linux. Kubernetes. Automation. Security. Master these four. Work anywhere.
"Teach Yourself Computer Science" is the best resource to learn CS. 2 weeks into vibe coding and non-technical people feel the pain. "I really wish I was technical. I just don't know how to proceed." It takes ~1000hrs across 9 topics to understand CS with any depth.
She’s right. Companies would kill for a system informed engineer. It’s the hardest skill to develop, and the most opaque one.
Exercising 4h after learning enhances activation of the hippocampus & improves memory retention. Exercising immediately after has no effect.
What if consciousness has deep access to spacetime or more subtle reality!!
An electric engineer turned quant created DeepSeek.
Humanity's progress is accelerating insanely fast: Stone Age→Farming: 100,000 yrs Farming→Steam: 12,000 yrs Steam→AI: 200 yrs 2000-2014: 100 years of progress in 14. Moore's Law predicted 32x. AI chips did 1000x. Law of Accelerating Returns is getting weird with AI🧵👇🏻
Shoutout to everyone building from scratch. No rich parents. No connections. No education. No excuses. Just hard work, consistency, obsession, and focus.
The Singularity: The End of Earning and the Beginning of Being
AI will push everyone towards meditation & self realisation..
Excited to share with @FlowersINRIA ADTool, an open-source Python toolkit using curiosity-driven AI to explore behavior diversity of complex systems (cellular automata, physics models, ...)!🐍 Serving off-the-shelf strategies like IMGEP github.com/flowersteam/ad… You said IMGEP? 👇
I just pushed a new paper to arXiv. I realized that a lot of my previous work on robust losses and nerf-y things was dancing around something simpler: a slight tweak to the classic Box-Cox power transform that makes it much more useful and stable. It's this f(x, λ) here:
This is the most detailed model of a human cell ever created, using data from X-ray, NMR, and cryoelectron microscopy. ‘Cellular landscape cross-section through a eukaryotic cell.’ - Evan Ingersoll & Gael McGill.

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