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2025 AI Index Report

(hai.stanford.edu)
166 points INGELRII | 1 comments | | HN request time: 1.083s | 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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simonw ◴[] No.43646640[source]
That's why I try not to hype it.
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JohnKemeny ◴[] No.43652701[source]
Uh... You don't do anything but hype them.

I literally don't know who anyone on HN are except you and dang, and you're the one that constantly writes these ads for your LLM database product.

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simonw ◴[] No.43652811[source]
I think you and I must have different definitions of the word "hype".

To me, it means LinkedIn influencers screaming "AGI is coming!", "It's so over", "Programming as a career is dead" etc.

Or implying that LLMs are flawless technology that can and should be used to solve every problem.

To hype something is to provide a dishonest impression of how great it is without ever admitting its weaknesses. That's what I try to avoid doing with LLMs.

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1. bluefirebrand ◴[] No.43659344[source]
> without ever admitting its weaknesses

I don't think this part is necessary

"To hype something is to provide a dishonest impression of how great it is" is accurate.

Marketing hype is all about "provide a dishonest impression of how great it is". Putting the weaknesses in fine print doesn't change the hype

Anyways I don't mean to pile on but I agree with some of the other posters here. An awful lot of extremely pro-AI posts that I've noticed have your name on them

I don't think you are as critical of the tech as you think you are.

Take that for what you will