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Discovery Loop

discoveryloop.com

501–510 of 625 posts

Re: Discovery Loop

#501

For sure made with Claude code for front end, but I’m excited to see where they go

Absolutely reeks of Claude. This is the new aesthetic.

The new Bootstrap, but somehow even shittier as the content itself is also bland and only vaguely matches the subject. Might as well put lorem ipsum in there, it's just as "informative".

Re: Discovery Loop

#502
post #241

Earlier quoted context omitted.

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…

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?

In fact given everybody is going to be using these tools - and for high tech compananies this is fundamentally where you compete - if you reduce your R&D workforce you are going to be left behind.

It's not as if there is a limited amount of R&D to do.

Re: Discovery Loop

#503
post #286
post #247

Earlier quoted context omitted.

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'"?

My main point is that people shouldn't just swallow the noble and lofty sounding PR. These guys are the same as everyone else in the sector. Don't ignore the harmful or scummy things they'll inevitably do. Hold them accountable. If they are as noble as they sound, they should agree with me.

Yeah! This point jumped at me. And, immediately I don't trust this.

This sounds same as Google's "don't be evil" enshiftification, consolidating technologies that was available in a competitive way.

I prefer Scientists, and team of people working on things, instead of a corporate controlling everything with promise of automation, thank you very much.

Re: Discovery Loop

#504

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. Develop AGI

2-14. ???

Re: Discovery Loop

#505
Their “brain trust” has impressive experience, but mostly at things that are not natural science. Alpha fold and friends are an exception, but these mostly harnessed existing scientific data.

I would love to see someone with a strong natural science background in those efforts.

No one would build a house without an architect.

Re: Discovery Loop

#506

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…

15. Unscramble an Egg

16. Make Everyone Nice

17. Finally Impress a Girl

Re: Discovery Loop

#507

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

This one is already solved, right? The price of panels and batteries is on trend to displace all other forms of power generation within our lifetime

Re: Discovery Loop

#509

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 This one is already solved, right? The price of panels and batteries is on trend to displace all other forms of power generation within our lifetime

Panels absolutely, their price is more and more dominated by installation costs. You can probably use automation to bring that down as well, especially for large-scale installations. Not sure if that requires AI research though, it's more an engineering and funding challenge.

Batteries are still open. While they do get cheaper, there is still a lot of room to improve. And battery chemistry is something where a lot of research, trial and error, healthy intuition is necessary. I'd say that is more a field where an AI based approach might make sense.

Re: Discovery Loop

#510

Earlier quoted context omitted.

> They cherrypicked 15 countries. The "world" chart shows an increase from 19% renewal to 34%. Did they cherry-pick that? (Also, "European Union" is more than one country.) > I don't doubt that it's economical for individuals when the govt is subsidizing it. Does that distinguish renewables from fossil fuels? Haven't governments been essentially subsidizing fossil fuels (not least by allowing environmental externalit…

Because a lot of countries in the world, especially the EU, are subsidizing solar. That doesn't make it economical. Externalities ignored from fossil fuels, yes. That's not a subsidy though. I'm not saying they should ignore it, but if they do, they aren't the ones who pay for it.

That's not a good point though, a lot of countries, including the EU, also subsidize fossil fuels.

Solar is cheaper, but requires more room and time to spin up (think datacenters, where you can put a turbine within a month) and storage or backups for windless nights.

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