Wait, so his keyboard has got a shift key?!
Whatever happened to that key is a key part of his origin story, that I’m sure will be revealed in due course.
AI (2014)
11–20 of 72 posts
Re: AI (2014)
#12> 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…
That's an expression of class thinking from the beginning IMO. People think of themselves as thinkers and creators, while those who do labour they rely on without getting too much into details are merely doers and can ideally be replaced. But it's really thinking and creativity all the way down if you try to learn to do things well
Re: AI (2014)
#13Nailed 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.
Yeah, maybe don't. He's a smart guy for sure, but that really doesn't redeem him from the awful qualities he undoubtedly has—insatiable greed, a compulsion to lie and manipulate, a special flavour of god complex, no moral compass at all, and more.
Re: AI (2014)
#14> (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.
In one sense, all intelligence is a search in a gigantic solution space.
But the difference is:
What Deep Blue did was (if the Wikipedia page is correct) Alpha-beta pruning[0], where some humans came up with the function for what "better" and "worse" board states look like.
And what LLMs do (at least the end models) includes at least some steps where there's an AI trying to learn what human preferences are in the first place, in order to maximise the human evaluation scores. Some of those things are good, like "what's the right answer to the trolley problem?" and "which is the better poem?", but some are bad such as "what answer best flatters the ego of the user without any regard for truth?"
The former is exactly like route-finding, in that you could treat travel time as your score of better-worse and the moves as if they're on a map rather than a chess board.
The latter is like being dumped into a new video game with no UI and all NPCs interact with you only in a language you don't know such as North Sentinelese.
Re: AI (2014)
#15> 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…
That's an expression of class thinking from the beginning IMO. People think of themselves as thinkers and creators, while those who do labour they rely on without getting too much into details are merely doers and can ideally be replaced. But it's really thinking and creativity all the way down if you try to learn to do things well
> But it's really thinking and creativity all the way down if you try to learn to do things well
Yes, everyone starts out creative.
But we all can tell the difference between a worker that is still creative and learning and a worker that gave up creativity and is just doing his job. The first will still be useful in this AI age the second will be replaced by AI learning what he already knows.
Re: AI (2014)
#16> 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?
That world is not necessarily bleak.
We currently have two broad mechanisms to equate people's value.
*Employees:*
Easy to replace = Low Salary = Gets Few Resources
Hard to replace = High Salary = Gets Many Resources
*Entrepreneurs:*
Output consumed low = Low Pay = Gets Few Resources
Output consumed high = High Pay = Gets Many Resources
(Resource consumption ignored)
In a world where machines do everything, aspects of these change:
*Employees:*
Easy to replace = Gets whatever resources
(no-one hard to replace)
It is up to us to define whether 'whatever' is bleak or not. If we decide that resources need to be shared fairly, it could be heaven, not hell.
*Entrepreneurs:*
Resource consumption: Whatever
It is up to us how much resource consumption we allow. If we decide that resource consumption need to be sustainable, it could be heaven, not hell.
Re: AI (2014)
#17> 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 b…
> 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.
Maybe I'm wired differently, but this is fun to me, and "exercising mastery" by doing routine work is almost never fun, things stop being fun and feel good once I've "mastered" them, and I can't say I've ever "recovered energy" by doing routine work, it seems to suck energy out of me faster than anything. To recover, I tend to rest and do anything but work. But again, maybe it's just weird wiring.
Re: AI (2014)
#18Nailed 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.
Yeah, maybe don't. He's a smart guy for sure, but that really doesn't redeem him from the awful qualities he undoubtedly has—insatiable greed, a compulsion to lie and manipulate, a special flavour of god complex, no moral compass at all, and more.
> insatiable greed, a compulsion to lie and manipulate, a special flavour of god complex, no moral compass at all, and more
Besides these traits that every CEO/big-time investor seems to share, is there anything uniquely awful with Altman?
Re: AI (2014)
#19 The most positive outcome I can think of is one where computers get really good at doing, and humans get really good at thinking
At work I'm seeing colleagues I once considered formidable completely turning off their brains and letting the bot drive, and wholly missing the mark on work quality. It's like a sickness, like COVID brain fog people don't even notice they have.
I see humans getting worse at reading, worse at writing, and worse at programming by themselves. It makes me angry and sad.
We are getting dumber, people, and I fully believe Altman and friends are lying when they say they want it otherwise.
Re: AI (2014)
#20Wait, so his keyboard has got a shift key?!
This was written before you have to add in errors in your text so people can tell you aren't an LLM.