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mister timnus
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mister timnus
@tgmn__
contraptionologist. quantum engineer/music nerd with a demonstrated commitment to The Vibe. playing musical chairs in the 4f shell. not straight
LV-426 Beigetreten Aralık 2015
2.2K Folgt537 Follower
mister timnus retweetet
mister timnus retweetet

While walking through the legendary 1973 black hole paper by Bardeen, Carter, and Hawking, I spent days convinced I had a sign error in my derivation, which is a very common occurrence for me. Minus signs and factors of two are the bane of my existence.
But, this sign error was persistent. No matter how I looked at it, the math just didn’t work out. Checked it over and over. My physicist friend Nirmalya Kajuri also @Kaju_Nut independently verified my reasoning.
Turns out the sign error is in the paper itself. Actually, there are two subtle errors which cancel each other out, leaving all the physics intact. That’s why it went unnoticed for fifty years.
The moral of the story is that we all make sign errors sometimes, even the greats! But it’s the idea that really matters.
arxiv.org/abs/2603.25171
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read it all, or just read the acknowledgements.
ses.library.usyd.edu.au/handle/2123/34…
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mister timnus retweetet
mister timnus retweetet

Alysa Liu recently went viral for her *surprising* Teen Vague rant on the use of AI in hardware design
"you're trying to automate pcb design with current tech. Sure an LLM can read datasheets and symbolically wire up a schematic, but laying out a board? That's a completely different story. Besides this isn't software, you'd also need to automate debugging of hardware and accelerate pcb building cycles to make a sizable dent on development speed"


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mister timnus retweetet

🚨BREAKING: Someone compiled every math and science course from Stanford, MIT, Berkeley, IIT and Harvard in one place.
You can learn:
- Quantum Mechanics, General Relativity, String Theory
- Complex Analysis, Algebraic Geometry, Topology
- Astrophysics, Quantum Field Theory, Statistical Mechanics
- 630+ courses with full video lectures
100% Opensource and available for everyone.

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mister timnus retweetet

New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
gist.github.com/karpathy/8627f…
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