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Discovery Loop

discoveryloop.com

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Re: Discovery Loop

#191

Post by ozgung »

bredren wrote: post #168

This seems to be an institutional, massively scaled version of https://github.com/karpathy/autoresearch . In March Karpathy described this direction: The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). Tweet is protected but in SERP caches: https://x.com/karpathy/status/2030705271627284816 Seems like Karpathy was largely focused on ML / SWE r…

That is also what I understand from that page. Autoresearch is the closest thing we (mainstream audience) know of but I am sure there is already an active research literature around it.

Re: Discovery Loop

#192

Post by vovavili »

cjbarber wrote: post #18

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…

Very honorable effort, but a lot of these seem to touch heavily regulated industries impeded by unwise or outdated policy no less than by the lack of clever engineering - medicine, education, urbanism, energy. I wonder if they've given some thought to the key blocking factor as well.

Re: Discovery Loop

#193

Post by [deleted] »

Sivart13 wrote: post #130
cjbarber wrote: post #18

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…

The solution to most of these problems lies in policy, not in new tech advancements. Maybe if our biggest companies did something other than suck up to science denying wackos, some progress could be made in these areas.

[deleted]

Re: Discovery Loop

#194

Post by pickleRick243 »

teamonkey wrote: post #159
porridgeraisin wrote: post #63

Earlier quoted context omitted.

Yep. A communications professor where I did my MS says a 200usd/mo claude sub (which ant gives for free) does as much work as 5 grad students. It's mostly like you said, trying out new ideas rapidly.

The purpose of hiring grad students isn’t to advance science, it’s to train experts.

It's 90% to advance science via cheap labor and 10% to train a small group of future experts who will hire grad students to 90% advance science via cheap labor etc. ...

Re: Discovery Loop

#195

Post by dgellow »

cjbarber wrote: post #18

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…

Such a weird list. How is preventing nuclear terror an engineering problem?

Re: Discovery Loop

#196

Post by merona_io »

sajithdilshan wrote: post #139
cjbarber wrote: post #18

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 would say 5, 6, 10 can be even done today if we had right politicians that can make policies for the people

agreed

Re: Discovery Loop

#197

Post by dag100 »

epicureanideal wrote: post #122
cjbarber wrote: post #18

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…

Would be great if they'd add: Reverse human aging. (Maybe a sub-topic under "Engineer Better Medicines".)

Why not just add 'mind control' while you're at it.

Only death stops stagnation in the end. Without death, especially if death can be avoided by the rich and powerful but not the poor, life will get much, much worse for the average person (until only the rich and their automated capital remain I suppose, in which scenario they will simply turn on each other).

Re: Discovery Loop

#199

Post by hiddencost »

la64710 wrote: post #107
cjbarber wrote: post #18

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…

Please add fixing neuro issues like autism add etc on the list. It creates a huge burden on families.

Idk, they never struck me as being into eugenics.

What the fuck man? I really don't want some tech startup trying to "fix" my neurodivergence.

Re: Discovery Loop

#200

Post by hiddencost »

tcp_handshaker wrote: post #47
cjbarber wrote: post #18

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…

Acquisition back by Google in 3 years, with nothing to show for it. VCs will make a ton.

These people are all already making 9 figure compensation packages, I think if they thought they could do the work they wanted at Google, they would.
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