521–530 of 625 posts
Or to take another example, Make Solar Energy Economical
How does Discovery Loop make this go faster in a way that a different group of scientists, also using frontier models, will proceed?
I'm sure Discovery Loop has considered this and has good answers to this question. I'd be interested in hearing more about this.
From Jeff's twitter post: > Our general approach is to automate the experimental loop. We think this approach is broadly applicable across many different fields of science and engineering. We’ll initially focus on ML research and engineering, but believe the approach can help with important subproblems in nearly every one of the fourteen NAE Grand Challenge problems. We think doing this well requires strong expertise…
1. Make Solar Energy Economical - Disallow fossil fuels 2. Provide Energy from Fusion - See 1 3. Develop Carbon Sequestration Methods See 1 4. Manage the Nitrogen Cycle - See 1 5. Provide Access to Clean Water - See 1 6. Restore and Improve Urban Infrastructure - See 1 7. Advance Health Informatics - See 1 8. Engineer Better Medicines - See 1 9. Reverse Engineer the Brain - See 1 10. Prevent Nuclear Terror - See 1 11…
Little more than "Fossil Fuels are the root of all evil" performative bullshit.
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I don’t understand why all of these companies need to frame it like this. Why not a large amount of people doing an even larger amount of science?
When you define prosperity in large amount of people, it makes you sound like a communist, and America spent decades to avoid that. The other alternative is to sound like a capitalist, which is very much ok by today’s standards.
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> Between us, we have pioneered massive scale computing and led the creation of critical infrastructure, products, and foundational AI advances that the world relies on, including multiple generations of Google Search, Google Ads, Google News, Google Translate, Google File System, MapReduce, BigTable, Spanner, TensorFlow, Pathways, TPUs, AlphaChip, AlphaStar, AlphaCode, AlphaFold, Gemini, model distillation, mixture-…
Hmm word2vec doesn’t seem to belong to any on the four. Dean was a last coauthor of the paper.
I can't believe how many people on this site worship talentless managers.
From Jeff's twitter post: > Our general approach is to automate the experimental loop. We think this approach is broadly applicable across many different fields of science and engineering. We’ll initially focus on ML research and engineering, but believe the approach can help with important subproblems in nearly every one of the fourteen NAE Grand Challenge problems. We think doing this well requires strong expertise…
I only see "co-created" "co-founded" "managed a team" - what did he actually do?
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Life's unfair, avoiding power concentration is a decent principle. If you grow up in the right place at the right time, how much should you be in control of everyone else's life?
There is no "should" there are only "is" or "is not" The universe has no need to be fair.
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They make many bold promises, but their core goal is neatly encapsulated on the website: "Imagine a future where a handful of people can conduct scientific research and engineering tasks much more rapidly, and with higher quality, than massive teams of scientists and engineers do today." This is the same goal as every other AI company out there. Automate away the human employees and let a small number of "people" (no…
Why shouldn't they? Also, wouldn't anyone with half a brain use the human-free system to produce another human-free system that was no longer controlled by the "small number of 'people'"?
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Such a weird list. How is preventing nuclear terror an engineering problem?
And what about the terrorism that exists today?