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Discovery Loop

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Re: Discovery Loop

#223

Earlier 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.

Where do you find the information for 2026?

Re: Discovery Loop

#225

Earlier 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…

That sounds like just playing further and further into the game of the corrupt leaders. Who do you think would profit off that 5x margin? Would that margin come more likely from a scientific breakthrough of via some new exploitation of natural resources or human labor?

It's yearsss past time that our leaders should have changed policy.

Re: Discovery Loop

#226

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.

It's a total delusion to think that the key to reverse-engineering the brain or producing energy from fusion is policy.

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

#227

Note 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.

Like how OpenAI is (was?) structured as a nonprofit?

Re: Discovery Loop

#228

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.

[flagged]

Re: Discovery Loop

#229

Earlier 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..

Not to say we shouldn't grow plants... But we can do it 2 or 3 orders of magnitude more efficiently with machines.

Re: Discovery Loop

#230

Note 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?

x2

All the "bad guys" of today were the "good guys" at some point in time. You even cheered for them back then.

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