derek
@derek
o3 doesn’t seem that groundbreaking to me. It seems iterative. We’ve known that computers are “smarter” than us. Since the 80s. That’s why we use them. Let me know when these models show *intention* and *creativity*. That’s what makes us different. Until then they remain really, really, really good word predictors.
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derek
@derek
Disclaimer: I’m willing to eat these words.
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Daikie.eth 🎩
@daikie
Seems to me we keep moving the goal post. If we were told in 90's an algorithm read a bunch of books & crunched down scraped data, learning itself how to code and (poorly) do arithmetic people would be loosing our minds.
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wake
@wake.eth
well said and agree. they all “feel” the same to me after a bit of use. hollow repackaging of human intellectual goods, averaged, smoothed, and banal. Useful for trite timewasters, otherwise *just a computer.*
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links 🏴
@links
Search engines were better encyclopedias. LLMs are better search engines. That’s not a bad thing, it’s just not what a lot people think it is (AGI), and it can’t do the things they expect it to do.
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MetaEnd🎩
@metaend.eth
Also we know o1 is best at deceiving the user with wrong information. O3 will probably excel at this
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Marc BHE Season 🍖☣️
@bighamenergy.eth
Well i have a fren that loves to play flamenco and it’s a bot. A lovely fella
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