In 2018 there was a beautiful New Yorker article on Jeff Dean and Sanjay https://www.newyorker.com/magazine/2018/12/10/the-friendship...
Discovery Loop
91–100 of 625 posts
Re: Discovery Loop
#92Careers page (if anyone is interested) → https://jobs.ashbyhq.com/Discovery-Loop
I don't see the salary (on mobile). Isn't there a law stating it must be added?
Only California employers with 15 or more employees have to post a pay range (Senate Bill 1162 [1], effective Jan 1, 2023) [2][3]. Discovery Loop employs only four people (that we know of), so it isn’t required to disclose a salary range in its job posts, of which there is only one [4].
[1] https://hr.ucmerced.edu/hr-units/talent-acquisition/senate-b...
[2] https://www.adp.com/spark/articles/2023/03/pay-transparency-...
Re: Discovery Loop
#93How do you automate experimentation? Doubtlessly, AI can iterate at superhuman speeds in the domains of thought and design: Software, mathematical proofs, literature search. But in the realm of experiment? Alas it is the lack of a body that constrains it. Rather than transcendence what AI requires is immanence. In the human flesh may we find the godhead living among men. Let the laboratories, warehouses, and factorie…
would love to see how AI can automate the construction of the next high energy particle collider
Re: Discovery Loop
#94I wonder if Jeff Dean facts [1] (I hope people remember the reference) will carry over to the new startup. [1] https://github.com/LRitzdorf/TheJeffDeanFacts
Those are all fake, part of an internal Google narrative that overstates individual contribution, and obscures the work of large engineering teams. Here are some Jeff Dean well sourced facts: - Already part of engineering of Google indexing systems that lacked basic checksums and ran on non-ECC hardware, allowing silent data corruption. - One of the authors of LevelDB a database with so many documented crash-consiste…
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Re: Discovery Loop
#95Automating ML/AI research seems completely tractable. Most of the other claims seem much less doable.
Re: Discovery Loop
#96From 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…
Acquisition back by Google in 3 years, with nothing to show for it. VCs will make a ton.
Sometimes you got to find a way to buy the silence of your top employee, to prevent them from going to the competition. This "start-up" is shallow as hell
Re: Discovery Loop
#97[deleted]
Re: Discovery Loop
#98When they say experiments, do they mean using physics simulators?
in AI/ML, no. They are just going to automate AI/ML research to start with. Totally doable.
For some of the other things, undoubtably yes.
Re: Discovery Loop
#99The job req has "Recursive Self-Improvement" as one of the "area of expertise" checkboxes lol
Re: Discovery Loop
#100From 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…
Sandbox 2.0 But also, solar power is already economical.
Seems to have been developed in 2008 (continuing through 2017), which explains the "economical" framing: https://en.wikipedia.org/wiki/National_Academy_of_Engineerin...