Comment by specproc
6 hours ago
I do think that sounds ridiculous, but more importantly I don't see where humans are missing.
I think HN, everyone really, really needs to get a grip when it comes to AI.
Sure, it's a big deal, will revolutionise the way we work, just like steam, or electricity, or the internet, but a world without human work is a world without humans.
We've had workless utopias predicted for centuries as each big new technology has come along, yet we work far harder than many of our ancestors.
A 100 percent automated economy or government is an oxymoron, precisely because both are constituted by humans.
Even the Christian view of heaven has work. Seriously, when God comes to renew the face of the earth, his people are supposed to be building cities and such on the new earth. They will be resurrected into glorified bodies that never wear out or get tired (the second law of thermodynamics being a result of Adam bringing sin into the world), so at the end of days God will abolish drudgery and exhaustion, but not work itself.
The reason why is because few things are more satisfying to a human than a job well done; and Christians believe that God would not deny us that in eternal life.
It sounds kinda cool, not gonna lie. I'm almost sorry I'm no longer a Christian.
Do you agree that if physical LLMs are as good at replicating human behavior as text based LLMs are, they would be able to do a lot of the vast majority of what we already do in the real world?
I'm not entirely sure what a physical LLM is. Would you care to elucidate how they work and when they're likely to be doing my gardening?
Sure physical LLMs are when an LLM is trained on data where it outputs control bits for actuators on an actual humanoid robot instead of text like you see in a chat bot.
How likely are they to do your gardening if you ask me I would optimistically say within the next six months. For examples of working instances of this look up Figure robotics they’ve had live streams where it sorts mail and cleans houses although the cleaning of the houses is very early stage, and it kind of only does contrived situations. Look up Sunday robotic’s live stream where they literally have a 99% accuracy on folding nine different types of garments. Look up Unitree where they’re making progress on a person asking a robot to do something and it coming up with a novel action on the fly.
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LLMs are inherently text-based. For physical labor, some other deep-learning model will be used.
Tokens don't need to represent text.
They are sequence to sequence models.
No, they are input and output based. They work with tokens/bits which could be anything. It can be a paragraph of text or it can be a bitstream for actuators. This isn’t science fiction. It’s happening right now.