Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Discovery Loop

discoveryloop.com

Post reply on HN
Print view View original

111–120 of 625 posts

Re: Discovery Loop

#111

Post by numbers_guy »

drivebyhooting wrote: post #87

How do you automate experimentation? Doubtlessly, AI can iterate at superhuman speeds in the domains of thought and design: Software, mathematical proofs, literature search. But in the realm of experiment? Alas it is the lack of a body that constrains it. Rather than transcendence what AI requires is immanence. In the human flesh may we find the godhead living among men. Let the laboratories, warehouses, and factorie…

You can use simulators. However the problem is that if you're for example running material science experiments, those simulations will consume a lot of compute and take weeks, so spamming different approaches in the way an agent tends to work might not work quite as well.

Re: Discovery Loop

#112

Post by twothreeone »

staplers wrote: post #101
LogicFailsMe wrote: post #85

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..

Yes, plant more trees!

Re: Discovery Loop

#113

Post by danielmarkbruce »

numbers_guy wrote: post #111
drivebyhooting wrote: post #87

How do you automate experimentation? Doubtlessly, AI can iterate at superhuman speeds in the domains of thought and design: Software, mathematical proofs, literature search. But in the realm of experiment? Alas it is the lack of a body that constrains it. Rather than transcendence what AI requires is immanence. In the human flesh may we find the godhead living among men. Let the laboratories, warehouses, and factorie…

You can use simulators. However the problem is that if you're for example running material science experiments, those simulations will consume a lot of compute and take weeks, so spamming different approaches in the way an agent tends to work might not work quite as well.

Building "simulators" that use ML/AI instead of running the calculations every step is a thing.

Re: Discovery Loop

#114

Post by shawn_w »

tcp_handshaker wrote: post #76
ValentineC wrote: post #3

I wonder if Jeff Dean facts [1] (I hope people remember the reference) will carry over to the new startup. [1] https://github.com/LRitzdorf/TheJeffDeanFacts

Those are all fake, part of an internal Google narrative that overstates individual contribution, and obscures the work of large engineering teams. Here are some Jeff Dean well sourced facts: - Already part of engineering of Google indexing systems that lacked basic checksums and ran on non-ECC hardware, allowing silent data corruption. - One of the authors of LevelDB a database with so many documented crash-consiste…

I suppose you think Chuck Norris Facts are fake too.

Re: Discovery Loop

#116

Post by root-parent »

bonsai_bar wrote: post #102
tcp_handshaker wrote: post #76

Earlier quoted context omitted.

Those are all fake, part of an internal Google narrative that overstates individual contribution, and obscures the work of large engineering teams. Here are some Jeff Dean well sourced facts: - Already part of engineering of Google indexing systems that lacked basic checksums and ran on non-ECC hardware, allowing silent data corruption. - One of the authors of LevelDB a database with so many documented crash-consiste…

You sound like you're quite jealous of him.

I had never heard of many of these, was surprised, went to research, and so far, the list seems correct.

Re: Discovery Loop

#117

Post by twister2920 »

bonsai_bar wrote: post #102
tcp_handshaker wrote: post #76

Earlier quoted context omitted.

Those are all fake, part of an internal Google narrative that overstates individual contribution, and obscures the work of large engineering teams. Here are some Jeff Dean well sourced facts: - Already part of engineering of Google indexing systems that lacked basic checksums and ran on non-ECC hardware, allowing silent data corruption. - One of the authors of LevelDB a database with so many documented crash-consiste…

You sound like you're quite jealous of him.

not sure how you got that from a long list of criticisms

Re: Discovery Loop

#119

Post by koolala »

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…

Room Temperature Ambient Pressure Super Conductors

Re: Discovery Loop

#120

Post by tmoertel »

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.
Post reply on HN