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The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
byJava Pimp ( 98454 ) writes:
We also tend not to put people exhibiting these behaviors in decision-making positions.
Except when we put one of them in charge of our country... Twice....
byTWX ( 665546 ) writes:
yeah, this part stood out to me:
A LLM will be just as confident when saying something completely wrong -- and obviously so, to a human -- as it will be when saying something true.
as pretty much now empowering both ignorance as if it's equivalent to knowledge and experience, and now asserting that the ignorant person's views are fully valid even when based on bogus, "research."
Assertion while ignorant or actively wrong is the sort of thing that a conman does, because the root of what a conman relies on is confidence, that's where the con- part comes from. AI may as well be a conman.
byewibble ( 1655195 ) writes:
Its also the sort of thing someone with mental illness does as well.
bysaloomy ( 2817221 ) writes:
AI is making mistakes because it is a few years old (3?). You know how shitty CPUs were at 3 years of development? Memory? Digital Camera sensors? You know how bad hard drives were? Or network connections? AI is that now. Wait 10 years, and development will make mistakes unimaginably rare and negligible, like mistakes in memory now. Some form of AI ECC (error correction code for those of us not hardware nerds) will probably come out, balancing checks across the LLMs, questioning the answers in portions prior to delivering the composed result to humans. This is all very new, and it shows. But AI will follow the trajectory of all other technologies that are decades old. How often do you worry about your CPU screwing up a math problem? Exactly...
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bySique ( 173459 ) writes:
AI is about 60 years old right now, starting with ELIZA (1966), then we have MYCIN (1972) and CYC (1984). DeepBlue was beating Garri Kasparov in 1996. Watson was playing Jeopardy in 2011. AlphaGo beat Fan Hui in 2015, Lee Seedol in 2016 and Ke Lie in 2017. If you want to compare AI to Microprocessors, then LLMs are something like the 32bit architecture - quite mature and capable, and already scaling up to 1 GHz and more.
byWaffleMonster ( 969671 ) writes:
AI is about 60 years old right now, starting with ELIZA (1966), then we have MYCIN (1972) and CYC (1984). DeepBlue was beating Garri Kasparov in 1996. Watson was playing Jeopardy in 2011. AlphaGo beat Fan Hui in 2015, Lee Seedol in 2016 and Ke Lie in 2017. If you want to compare AI to Microprocessors, then LLMs are something like the 32bit architecture - quite mature and capable, and already scaling up to 1 GHz and more.
While field of AI generally is ancient the transformer craze just recently started circa 2017.
bySique ( 173459 ) writes:
There is quite a difference between the public reception of things and the State of Art. When I was at the university studying CS in the 1990ies, neural networks were all the rage. In the early 2000s, I was working as sysadmin in the CS department, and one research group was training an LLM, called "Semantic Search" at the time.
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