“AI sucks” is such an unbelievably midwit tell
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Date: January 8th, 2025 2:42 AM Author: AZNgirl formally annexing Justin Trudeau's Cock
but it cant even calculate this shit, it gave me TWO diff answers for this simple one:
If India maintains the same average annual growth rate from 2000 to 2023, its GDP in 2035 is projected to be approximately $10.92 trillion USD.
India's average real GDP growth rate from 2000 to 2023 has been approximately 6.19%.
If this growth rate continues, India's GDP in 2035 would be approximately $7.67 trillion USD (in constant 2023 dollars)
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530593) |
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Date: January 8th, 2025 2:43 AM Author: AZNgirl formally annexing Justin Trudeau's Cock
LOL @ this furking god damn retardation, this is why im not convinced its close to ready yet:
The difference in answers was likely due to a calculation issue caused by a temporary reset of my working environment, which interrupted the consistency of earlier computations. Once I recalculated with the correct data and parameters, the most accurate result was derived.
Here is a recap to ensure clarity:
Initial Calculation: I calculated India's projected GDP for 2035 using a certain growth rate, but my environment reset, causing an error in continuity.
Final Correct Calculation: After redefining all variables and starting afresh, I derived the result: approximately $10.92 trillion USD, which matches the average growth rate from 2000 to 2023.
Let me know if you'd like me to revalidate the numbers or explain further!
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530595) |
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Date: January 8th, 2025 2:50 AM
Author: ,.,..,.,..,.,.,.,..,.,.,,..,..,.,,..,.,,.
AI models based on next-likely-word predictions will always get a lot of shit wrong. more sophisticated models trained on actual axioms and parameters for different fields will be necessary for anything useful.
for example, there is a notion system called lambda calculus which is used in computer science. it's not math calculus, but a way to represent logic/math operations with symbols so that they can be computed abstractly.
in other words, it has clear and decisive rules. it's an axiomatic system. but if you ask a word-predictor AI to solve lambda terms, it will almost always fuck things up, because it does not actually have any kind of bounded set of operations it invokes when asked such a question.
that's a problem. but it's not that difficult to improve.
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530601) |
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Date: January 8th, 2025 5:01 AM
Author: ,.,..,.,..,.,.,.,..,.,.,,..,..,.,,..,.,,.
yeah, that's what i mean. that's a problem that's easy to solve using a limited data set and instructions on when to invoke the set. but most AI models don't have that. it just spits out likely words in a certain order, with no barriers to spitting out total bullshit.
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530661) |
Date: January 8th, 2025 2:45 AM
Author: ,.,..,.,..,.,.,.,..,.,.,,..,..,.,,..,.,,.
AI is pretty obviously the only way forward. the main issue is that a lot of AI offerings are intentionally gimped or retarded for social reasons rather than technical ones. but as a branch of technology, it is unavoidable.
being 'anti-AI' is just anti-technologism in general, which is sort of a childlike worldview once you've seen technology in the first place.
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530598) |
Date: January 8th, 2025 2:53 AM
Author: .,.,.;;,;.,..,:,,:,...,:::,...,:,.,.;.:...:.,:.::,
what are the really bad things that could come of AI that people in the know are worried about
(http://www.autoadmit.com/thread.php?thread_id=5660717&forum_id=2#48530604) |
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