184 points by vertigoruntime 4 days ago | 76 comments | View on ycombinator
spyckie2 4 days ago |
etrvic 4 days ago |
nsagent 4 days ago |
Today’s AI systems have impressive capabilities and the rapid pace of innovation suggests we’re now approaching artificial general intelligence (AGI), a system that exhibits all the cognitive capabilities of the human brain.
Not sure we are anywhere close to all the cognitive capabilities of the human brain... not even a severely lobotomized one.totallygeeky 4 days ago |
ACV001 4 days ago |
undefined 3 days ago |
ElProlactin 3 days ago |
The best part of technology: the people who brought you the "disruption" are the ones who promise you they have the solution to all the problems it caused.
vismit2000 3 days ago |
tungolcild 3 days ago |
credit_guy 4 days ago |
Google, who was left a little bit behind anyway, is more than happy to join the calls for taking a more cautious approach to AI development. Hence DeepMind Institute.
Sam Altman has no option than to pretend he agrees with all these ideas. What else is he supposed to say?
0gs 4 days ago |
chrisjj 4 days ago |
ipsum2 4 days ago |
> DMI is a platform for researchers and thinkers from across Google DeepMind, Google, and the wider global research community to work on and publish creative, deeply informed ideas about a world with AGI. They will not always agree, and they will likely change their minds, as more data and information comes to light at the fast-moving frontier. We created this institute precisely because broad-based intellectual discussion and debate are required to arrive at a consensus about how to address the challenges and opportunities we face as a society.
Kalanos 4 days ago |
sicktriple 4 days ago |
eine1 3 days ago |
- need for faster, better and more accurate measurements of the things we care about
- 3 scenarios of impact ranging from mild to major disruption
- mild policies are all sensible, like expanded unemployment insurance and Earned Income Tax Credit
- major disruption policies are also pretty logical, emphasizing owning a share of the profits of AI
- AI evaluators to sort and weigh the policies for their effectiveness
It looks like to me a lot of thinking, research, and work put into the piece.
I know people will gripe at using AI evaluators to score and weigh policies for effectiveness but if you read any amount of research papers, they do researcher evaluated scoring, which translates to "me, a 26 year old PHD candidate who hasn't held a job yet, and my roommate who stayed up all night with me to tell me his vibes on the subject".
It is IMO wrong and lazy to dismiss these pieces as being the same level as Dario or Sam's blog posts / speeches / call to actions, these are actual research papers.