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2025 AI Index Report

(hai.stanford.edu)
166 points INGELRII | 1 comments | | HN request time: 0s | source
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mrdependable ◴[] No.43645990[source]
I always see these reports about how much better AI is than humans now, but I can't even get it to help me with pretty mundane problem solving. Yesterday I gave Claude a file with a few hundred lines of code, what the input should be, and told it where the problem was. I tried until I ran out of credits and it still could not work backwards to tell me where things were going wrong. In the end I just did it myself and it turned out to be a pretty obvious problem.

The strange part with these LLMs is that they get weirdly hung up on things. I try to direct them away from a certain type of output and somehow they keep going back to it. It's like the same problem I have with Google where if I try to modify my search to be more specific, it just ignores what it doesn't like about my query and gives me the same output.

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simonw ◴[] No.43646008[source]
LLMs are difficult to use. Anyone who tells you otherwise is being misleading.
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__loam ◴[] No.43646190[source]
"Hey these tools are kind of disappointing"

"You just need to learn to use them right"

Ad infinitum as we continue to get middling results from the most overhyped piece of technology of all time.

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1. torginus ◴[] No.43646908{3}[source]
LLMs are a casino. They're probabilistic models which might come up with incredible solutions at a drop of a hat, then turn around and fumble even the most trivial stuff - I've had this same experience from GPT3.5 to the latest and greatest models.

They come up with something amazing once, and then never again, leading me to believe, it's operator error, not pure dumb luck or slight prompt wording that lead me to be humbled once, and then tear my hair out in frustration the next time.

Granted, newer models tend to do more hitting than missing, but it's still far from a certainty that it'll spit out something good.