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Discovery Loop

discoveryloop.com

511–520 of 625 posts

Re: Discovery Loop

#511

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…

Sounds a bit like everything and anything to be honest. Focus?

Re: Discovery Loop

#512

Earlier quoted context omitted.

It will not be owned by top 1%?

The change is that it'll be owned by the top 0.0000001% who control the LLMs that will be your new boss.

With 8 billion humans in the world, 0.0000001% is roughly eight people, and those eight would be Sam Altman, Dario Amodei, Demis Hassabis, Jensen Huang, Mark Zuckerberg, Elon Musk, Mira Murati, and Ilya Sutskever.

Re: Discovery Loop

#513

Earlier quoted context omitted.

I don't think that's the way I'd describe it though. It's more like "our political technology is not good enough to reliably do good things instead of bad things". Working around it by lowering prices of this or that is like if you're bad at darts so you just make the board bigger and bigger. Okay, maybe you'll hit it more often, but you didn't fix the problem that you're bad at darts, so everyone still at risk of ha…

It can indeed feel perverse, but we have to do what is realistic, not what is unrealistic, especially with climate change where we are on a clock. Fixing our politics is probably much, much harder than lowering the price of solar to such low values that the market would simply have no choice but to adopt it, or developing other technological solutions.

Fixing the politics is still necessary, and rather urgent. (Yes, I don't see how.)

Otherwise we are in for a great societal upheaval that might make low price of solar irrelevant.

Re: Discovery Loop

#514

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…

- Still doesnt solve the core problems

- Eliminate racism

- Eliminate poverty

- Eradicate crime

- Eradicate corruption

- Reverse climate change 100%

- wake me up when you got an AI project capable of doing this one

Re: Discovery Loop

#516
post #274

I have used something similar. I set up a team of agents that researches, proposes, builds and audits. Then rinse and repeat. I have used it for different topics. It hasn’t made me a millionaire, but I haven’t lost money either - so that’s some sort of win, right? But I would not have been able to ideate, test at that speed and quality without an LLM.

> It hasn’t made me a millionaire, but I haven’t lost money either - so that’s some sort of win, right? I'm curious if that is before or after token costs?

Heh, I run my experiments on Claude subscription. And that cost I’ll file as an ”opportunity cost”. But if I would have build this by hand and given myself a salary, then paying Claude to do it is way cheaper.

Re: Discovery Loop

#517

Earlier quoted context omitted.

Why would they let you buy access to their AI, when it can autonomously design and build a new product without your involvement?

Has anyone asked what customer will have any funds to buy products? 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?

I wonder too what happens when all the human workers are out of the job and out of practice, and every company is dependent on a handful of dominant AI companies for their workforce. You'd think businesspeople would understand the concept of a captive market but apparently they're too busy salivating over the prospect of laying people off.

Re: Discovery Loop

#518

Earlier quoted context omitted.

We are building _ solutions (building solutions != building a thing. Can't you just say 'solving'?) That can _ solve _ problems in _, domains (Wait so the solutions are only the thing that solves the actual thing?)

It's clunky, but still clear. They're building AI things (systems, solutions, harnesses, whatever) that can tackle big research problems.

Are those not all systems?

Re: Discovery Loop

#519
post #197

Earlier quoted context omitted.

Why not just add 'mind control' while you're at it. Only death stops stagnation in the end. Without death, especially if death can be avoided by the rich and powerful but not the poor, life will get much, much worse for the average person (until only the rich and their automated capital remain I suppose, in which scenario they will simply turn on each other).

I would take stagnation if I didn't have to die on a fucking schedule like now.

You’re assuming that the immortality will be available to you, not just to the political elite and billionaires.

Re: Discovery Loop

#520

Earlier quoted context omitted.

So, the difference is that you need to delete a few bad training runs?

In science fiction, the AI agent has written the training loop management software and included a back door to prevent that from happening (or found a way to talk to the training loop management agent and convinced them to not listen to the evil human when it tries to do brain surgery on the AI agent. Also, when the human reaches for the power switch the AI agent uses a flaw in the power management software to weld t…

The LLMs were following their prompt. This is alignment.
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