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Discovery Loop

discoveryloop.com

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Re: Discovery Loop

#261

Post by xnx »

dbgrman wrote: post #128
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…

Why is "12. Enhance Virtual Reality" in there? T_T

Higher-fidelity telepresence could be as significant as the recent COVID work-from-home wave.

Re: Discovery Loop

#263

Post by tgma »

hiddencost wrote: post #200
tcp_handshaker wrote: post #47

Earlier quoted context omitted.

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.

9 figure is hardly enough when some kid sells their vscode fork to them for more, is it? Why not just boomerang and get $$$.

Re: Discovery Loop

#264

Post by a2ff6eeb0 »

sejje wrote: post #247
beloch wrote: 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…

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'"?

Why do you think you'd be given access and permission to do this? If a company genuinely cracks this human free system problem, why would they open it up, instead of simply outcompeting everyone that doesn't have their product?

Re: Discovery Loop

#265

Post by jay_kyburz »

frollogaston wrote: post #213
darth_avocado wrote: post #161

Earlier quoted context omitted.

> Make Solar Energy Economical Isn’t it already?

People on HN keep saying it is, but I'm still not seeing it. Companies are building datacenters in vast, sun-blasted deserts and still choosing to power those with natural gas. This in turn makes people complain about emissions pledges being reversed, but if it were economical, no pledge would be needed. Of course, USA has cheaper oil/gas than other countries. But if you look elsewhere, rich countries are subsidizing…

Data centers need lots of power 24/7 and regardless of cloud cover. Solar is great to reduce your daytime bills but you still need other methods to cover the downtime.

I would be surprised if data centers didn't put in gas _and_ solar.

Re: Discovery Loop

#266

Post by frollogaston »

blahblaher wrote: post #259
frollogaston wrote: post #238

Earlier quoted context omitted.

They cherrypicked 15 countries. And still, some of those still had renewables decrease since 2000 like Nigeria, others saw an increase but it's still way less than fossil, and others like China are heavily subsidizing solar. I don't doubt that it's economical for individuals when the govt is subsidizing it.

Look at Australia then. Millions of homes already using solar yo basically power their homes for free most of the time. Yes it was subsidized, like oil was and still is. Solar without subsidies is already miles better than oil and gas.

Australia is a rich country that subsidizes solar, and they're still 90% fossil according to their Wikipedia article, so idk why the mismatch with this article.

Re: Discovery Loop

#267

Post by willy_k »

Taikhoom2010 wrote: post #110
malux85 wrote: post #62

Earlier quoted context omitted.

Model routers - send all of your data through a third party who totally swears not to peek at it. If youre doing anything high value (advanced research, classified work, high value industrial research, health data) then sending your data through a third party like that is insane.

yes perhaps, although I think the best option for a enterprise is to train a model on it's own data.

Best option by what metric? For which enterprises. I say this having worked at an “enterprise” where this was not a good option. For (lack of) talent/expertise, budget, infrastructure, and actual value relative to the eventual bottom line.

Re: Discovery Loop

#270

Post by jimbokun »

wy1981 wrote: post #32

Jeff Dean, Sanjay, et al have achieved so much. I'm very happy for them. Truly deserving. Sometimes I couldn't resist wondering if I'll ever do work that has a tenth of the impact of theirs.

> 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-of-experts model architectures, word2vec, sequence-to-sequence models, chain of thought reasoning, neural architecture search, and multiple generations of Large Language Models (LLMs) among others.

Not a bad combined CV.

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