AI (2014)
blog.samaltman.com
AI (2014)
1–10 of 72 posts
Re: AI (2014)
#2> (I originally was going to say a computer that plays chess, but computers play chess with no intuition or instinct--they just search a gigantic solution space very quickly.)
Isn't that how LLM models are trained right now? Trying to predict the next word within a "gigantic solution space". Interesting.
Re: AI (2014)
#3> The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking. If we never figure out how to make computers creative, then there will be a very natural division of labor between man and machine.
Man will do nothing and machine will do everything. That's a bleak world no one is preparing for.
How is that universal basic income scheme coming along?
Re: AI (2014)
#4> And maybe we don't want to build machines that are concious in this sense. The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking. If we never figure out how to make computers creative, then there will be a very natural division of labor between man and machine.
This is where LLM is currently going. Not really AGI since they can't think like humans, but they can do a lot of things and humans can train them on novel things.
Then human work is changed to figuring out new things and the AI solves all old things, that seems much more fun than most white collar work today.
Re: AI (2014)
#5> (I originally was going to say a computer that plays chess, but computers play chess with no intuition or instinct--they just search a gigantic solution space very quickly.) Isn't that how LLM models are trained right now? Trying to predict the next word within a "gigantic solution space". Interesting.
Which even shows Sam has no idea about AI, as the best chess engine at that point in time Komodo 8 was trained and developed primarily through the efforts of GM Larry Kaufman and Mark Lefler, focusing on refining the engine's evaluation function and search accuracy rather than relying on deep, brute-force calculation.
The reference to pong makes even less sense.
Re: AI (2014)
#6Wait, so his keyboard has got a shift key?!
Re: AI (2014)
#7> The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking. If we never figure out how to make computers creative, then there will be a very natural division of labor between man and machine. Man will do nothing and machine will do everything. That's a bleak world no one is preparing for. How is that universal basic income scheme coming along?
Resource allocation based on your hackernews upvotes? Thanks in advance folks ;)
Re: AI (2014)
#8Nailed it 12 Years ago... damn it, then after all Sam is not just talk and money.
I just got humbled.
This make me reconsider all my POV about Sam Altman.
Re: AI (2014)
#9Wait, so his keyboard has got a shift key?!
Well he is called Sam _Alt_man, not Sam Shiftman
Re: AI (2014)
#10> And maybe we don't want to build machines that are concious in this sense. The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking. If we never figure out how to make computers creative, then there will be a very natural division of labor between man and machine. This is where LLM is currently going. Not really AGI since they can't think like…
> Then human work is changed to figuring out new things and the AI solves all old things, that seems much more fun than most white collar work today.
But it's not fun to be figuring out new things all the time. Some amount of routine work is necessary to 1) exercise mastery (feels good), and 2) recover energy. This is why a lot of people find agentic coding exhausting and less fun, you're basically always having to be creative (what's the next feature?) or solve the hardest 5% of issues the LLM can't handle.