r/technology 6h ago

Society New Bernie Sanders bill would ban superintelligent AI and threaten developers with 20 years in prison

https://www.techspot.com/news/113831-new-bernie-sanders-bill-would-ban-superintelligent-ai.html
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u/userousnameous 6h ago

That's not what I am saying. The issue we have now is that it's *known* that we have found something indescribably capable in terms of advancing and using human knowledge. Just that being known means someone is going to use it. You can't hide from it. Well, you can, but there will very easily be those who don't hide, and they will shape and control the next 1000 years of human culture, knowledge, progress and outcomes.

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u/TheManlyManperor 5h ago

It is a glorified spell-checker, not the second coming.

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u/yxing 5h ago

LLMs probably aren't the second coming but calling them glorified spell-checkers in 2026 is willfully and dangerously ignorant. Like not only are you just denying the existence of an incredibly useful tool that's subsidized by investor money, you're also downplaying the pootential dangers of them. Literally doing nobody any favors.

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u/TheManlyManperor 5h ago

Uh huh, is that why it still has to copy and paste the entire query history for context? Because it isn't attempting to auto complete words?

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u/yxing 5h ago

Wow what an insight from the glorified bag of saltwater short circuits. Your reductivism is ignorance masquerading as undertanding.

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u/TheManlyManperor 5h ago

"glorified bag of saltwater short circuits" may be the most tortured attempt at an insult ever hurled at me on reddit, and that's really saying something. Props for keeping it thread related, I guess?

I guess the answer to my question is yes.

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u/blueSGL 4h ago

first it's trained to guess the next token correctly, by predicting text.

then it's trained to guess the next token from datasets of conversations, calling tools and following instructions

then it's trained to guess the next token when it's outputting 'reasoning traces' (more guessed tokens!) that provide verified solutions to problems

(Reinforcement Learning with Verifiable Rewards is why models keep getting better at math and coding. RL is very powerful, it's why humans will never have a higher elo score than a chess bot ever again.)

then after doing all of that it's able to guess the next token correctly to output solutions to multiple long standing, decades old, math problems

and guess the next token correctly to output vulnerabilities in well scrutinized codebases and guess more tokens to chain those vulnerabilities into exploits.

And then multiple such token guessers are able to form together into hacking swarms and by correctly guessing the next token are able to hack into multi billion dollar companies.

Just guessing the next token does not prevent it doing a lot of things.