Earlier quoted context omitted.
There is but the cost is way, way higher from what I can tell. If I want a customized metal shielding with awkward shapes, I can just walk down to Shenzhen and have 10 people clamoring to make it. Does the US have the same?
Yes believe it or not in the US you can also buy things from fabricators in Shenzhen.
Discovery Loop
421–430 of 626 posts
Re: Discovery Loop
#422I think people are missing what this really is: Google giving some of its most senior engineers the best retirement home to keep them away from competitors. This isn’t in jest; I wish i could make enough money to not care for more from my job and then do research after i get old. Its honestly a brilliant move.
Re: Discovery Loop
#423Re: Discovery Loop
#424Earlier quoted context omitted.
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
#425Earlier quoted context omitted.
Is science hard to distil?
Why would they let you buy access to their AI, when it can autonomously design and build a new product without your involvement?
Once all these brilliant workers are stacked and mentally stunted and decayed because they were removed from any research.
What does the AI really "do" (if it can) and for who that can pay?
Re: Discovery Loop
#426Earlier quoted context omitted.
Yes but science is well-structures and practically designed about repeatability so its a lot easier to automate than "softer" disciplines.
Are you a scientist? People have idealized views of science. >>> Yes but science is well-structures and practically designed about repeatability so its a lot easier to automate than "softer" disciplines. What AI is up against is that science is already automated to a high degree, so the AI doesn't just need to automate things, but it has to automate things better. Also, a lot of science work is in dealing with bounda…
Re: Discovery Loop
#427Earlier 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…
The same thing happened before with every technological advance like cars and personal computers. I don't get this weird rejection of AI from a socialistic perspective. Or rather, I do, but I don't think it's healthy.
Re: Discovery Loop
#428Earlier quoted context omitted.
> you guys don't really have manufacturing that is really necessary for scientific research Yea no high quality science research happens in the US? What?
There is but the cost is way, way higher from what I can tell. If I want a customized metal shielding with awkward shapes, I can just walk down to Shenzhen and have 10 people clamoring to make it. Does the US have the same?
Re: Discovery Loop
#429Earlier quoted context omitted.
> 9. Reverse Engineer the Brain For what purpose? To replace humans? To make social media more addictive? To master brain manipulation?
> For what purpose? To understand, same reason you reverse engineer anything. Doesn't have to have a further goal than that, understanding the brain better helps in so many ways. But like most technology, obviously can be used for bad too. Should we just skip researching some topics then?
Re: Discovery Loop
#430From 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…
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…