By the middle of the 2030's the world we live in will be unrecognizable.
It will not be owned by top 1%?
Discovery Loop
221–230 of 625 posts
Re: Discovery Loop
#222Re: Discovery Loop
#223Earlier quoted context omitted.
> I do not see how the second sentence follows from the first. Point 1 on the list is "Make Solar Energy Economical". Solar is economical today - mostly due to China investing (and heavily subsidising) in solar for the past couple of decades; but compare to the US where certain particular big-businesses (oil companies, mostly) were instead cynically funding disinformation efforts and getting into bed with the Republi…
Solar is not (yet) economical for reliable, year-round electricity because of storage costs. China coal use is growing again this year.
Re: Discovery Loop
#224Re: Discovery Loop
#225Earlier quoted context omitted.
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.
> The solution to most of these problems lies in policy, not in new tech advancements. That is not mutually exclusive. If technological advances result in a given technology becoming cheaper, more scalable, and easier to deploy, they also make it easier to advocate for and implement the relevant policies. You can think of it like this: our "political technology" is not good enough to use solar energy at its current p…
It's yearsss past time that our leaders should have changed policy.
Re: Discovery Loop
#226From 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.
It also happens to be the favorite pretext for people to seize more political power and launder more money through nonprofits though.
Re: Discovery Loop
#227Note that Jeff and crew have cleverly structured their company to avoid problematic uses of AI (e.g., weapons or tracking humans). I suspect that many top researchers will want to work there for this reason, and to work with other top researchers who have a history of delivering results.
Re: Discovery Loop
#228From 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.
Re: Discovery Loop
#229Earlier quoted context omitted.
Sandbox 2.0 But also, solar power is already economical.
3. Develop Carbon Sequestration Methods If only we could invent a solar-powered, self-replicating, carbon-stacking, habitat-building machine..
Re: Discovery Loop
#230Note that Jeff and crew have cleverly structured their company to avoid problematic uses of AI (e.g., weapons or tracking humans). I suspect that many top researchers will want to work there for this reason, and to work with other top researchers who have a history of delivering results.
> Note that Jeff and crew have cleverly structured their company to avoid problematic uses of AI Do you have more sources/info on this?
All the "bad guys" of today were the "good guys" at some point in time. You even cheered for them back then.