dontwearitout

19 ms·

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by dontwearitout 4y ago
For electric vehicles it's not that much more complex compared to traditional ICE vehicles.
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by dontwearitout 4y ago
https://en.wikipedia.org/wiki/SQUID Ultrasensitive low cost magnetometers could usher in a wave of low cost MRIs. The burden would shift from exotic hardware and power electronics to signal processing and computational
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by dontwearitout 4y ago
My opinion is heavily shaped by this interview (5-9 minutes is a good summary): https://www.youtube.com/watch?v=0PAiQ1jTN5k . We're currently running up against the Von Neumann bottleneck in ML. It's a great archit
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by dontwearitout 4y ago
Very exciting stuff, thanks for sharing this. They don't have a ton of open positions, but I'll be keeping an eye on the careers page.
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by dontwearitout 4y ago
>Artificial neural networks with backprop is all we need for AI No. Biological neural networks run many orders of magnitude more energy efficiently, and learn substantially more data efficiently and continuously. We've got a lot o
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by dontwearitout 4y ago
I think the answer to this is that we don't anything that much better than GPUs to justify dedicated hardware - but I see it as inevitable. (Edit: I'm not counting TPUs, since they're not for sale). My money is on something l
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by dontwearitout 4y ago
After a bit of googling, the yield strength of some common materials is within striking distance of 1GPa (many steels are 0.25 GPa, silicon carbide is 3.4 GPa [1]). So perhaps it could be possible to embed this superconductor in a highly st
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by dontwearitout 4y ago
Room temperature, but 1GPa pressure (or 145037 psi). An exciting step forward if it's reproducible, but not useful commercially. I'd rather see breakthroughs in theoretical understanding; superconductivity in these regimes is stil
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by dontwearitout 4y ago
I read some interesting work about picosecond laser driven pB11 fusion [0]. There doesn't seem to be a huge amount of research into picosecond lasers, but it strikes me as the logical step past NIF's work. What are your thoughts o
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by dontwearitout 4y ago
Forces due to a dipole effect (like magnetism) fall off like 1/r^3, while the strong nuclear force is exp(-x). There might be some analogy between the two in some sort of unification theory, but the power law suggests that it's fu
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by dontwearitout 4y ago
I agree - but reproductive capacity aside, this indicates some very concerning trends in men's health which we shouldn't brush off.
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by dontwearitout 4y ago
It took me a minute to grok the pictures on that wiki page, but I love this! Super creative solution
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by dontwearitout 4y ago
I'm not an expert, but my understanding is nukes are designed to not detonate if they are damaged or destroyed by a conventional explosion. But if they're sitting next to another nuke which detonates, the core doesn't even ha
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by dontwearitout 4y ago
Thank you for sharing this!
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by dontwearitout 4y ago
One issue with this is that many ML tasks are more memory bandwidth bound than compute bound. A forward pass through a neural network is a bunch of simple operations on gigabytes of data, whereas with protein folding there's a much hig
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by dontwearitout 4y ago
Absolutely. These transformer models are trained to autoregressively predict the next token (text, or now audio), and so can be viewed as powerful compression schemes by combining with something like Huffman coding (see https://m
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by dontwearitout 4y ago
They are running ensembles of models to predict the forecast. Chaotic systems are challenging to model, and models aren't perfect, so a collection of models is used (either different initial conditions or different versions of the mode
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by dontwearitout 4y ago
Sounds like a job for a LLM browser plugin :P
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by dontwearitout 4y ago
Flash was my 2nd programming language (after VB6) back when it was still Macromedia. I had a lot of fun making really crappy minigames and learning the basics of coding. This article brought some good nostalgia and plenty of astonishment at
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by dontwearitout 4y ago
Not in any real sense - it just reacts to the prompt, and has no choice in how. However, if you ductaped a simple goal directed reinforcement learning embodied agent onto a large language model, I think you'd approach something resembl
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by dontwearitout 4y ago
A nurse friend of mine raised this as a concern. The protocol for intramuscular injections used to be (and in some places still is) to draw the plunger back a bit first to verify that you're in muscle, and haven't hit a small vein
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by dontwearitout 4y ago
I agree, it'll probably be scrubbed from the frontpage shortly. It's sad that this is the case, especially since it's published in a scientific journal.
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by dontwearitout 4y ago
Fission's amazing potentially is nerfed by three main things: proliferation risk, meltdown risk, and waste handling. These are all solved problems but dramatically raise the cost (you need armed guards, and the reactor has to be built
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by dontwearitout 4y ago
I like to remind people now and again that humankind's very first attempt at inertial confinement fusion was wildly, ridiculously, terrifyingly successful: https://en.wikipedia.org/wiki/Ivy_Mike . These may seem li
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by dontwearitout 4y ago
Individual needs vary, but the Mediterranean diet is a great place to start: https://en.wikipedia.org/wiki/Mediterranean_diet > The Mediterranean diet is associated with a reduction in all-cause mortality in observa
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by dontwearitout 4y ago
It's made me consider my habits, and how much time I spend consuming internet content or comment threads which may (even today) be completely fabricated or autogenerated. I'm hoping I can use this inflection point as motivation to
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by dontwearitout 4y ago
Strongly disagree. Mathematician Gregory Chaitin said "compression is comprehension", and I think this is exactly correct: something is "more understood" if it can be internally represented or externally reproduced with