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rvzyesterday at 12:19 PM1 replyview on HN

> I have tons of examples of AI not committing secrets.

"Trust only me bro".

It takes 10 seconds to see the many examples of API keys + prompts on GitHub to verify that tweet. The issue with AI isn't limited to that tweet which demonstrates its probabilistic nature; Otherwise why do need a sandbox to run the agent in the first place?

Nevermind, we know why: Many [0] such [1] cases [2]

> CPUs are billions of transistors. sometimes one fails and things still work. “probabilistic quicksand” isn’t the dig you think it is to people who know how this stuff works

Except you just made a false equivalence. CPUs can be tested / verified transparently and even if it does go wrong, we know exactly why. Where as you can't explain why the LLM hallucinated or decided to delete your home folder because the way it predicts what it outputs is fundamentally stochastic.

[0] https://old.reddit.com/r/ClaudeAI/comments/1pgxckk/claude_cl...

[1] https://old.reddit.com/r/ClaudeAI/comments/1jfidvb/claude_tr...

[2] https://www.google.com/search?q=ai+deleted+files+site%3Anews...


Replies

dkdcioyesterday at 12:27 PM

you could find tons of API keys on GitHub before these “agentic” tools too. that was my point, one screenshot from twitter vs one anecdote from me. I don’t think either proves the point, but posting a screenshot from twitter like it’s proof of some widespread problem is what I was responding to (N=2, 1 vs 1)

my point is more “skill issue” than “trust me this never happens”

my point on CPUs is people who don’t understand LLMs talk like “hallucinations” are a real thing — LLMs are “deciding” to make stuff up rather than just predicting the next token. yes it’s probabilistic, so is practically everything else at scale. yet it works and here we are. can you really explain in detail how everything you use works? I’m guessing I can explain failure modes of agentic systems (and how to avoid them so you don’t look silly on twitter/github) and how neural networks work better than most people can explain the technology they use every day

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