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The "confident idiot" problem: Why AI needs hard rules, not vibe checks

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171–180 of 399 posts

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#171

The thing that bothers me the most about LLMs is how they never seem to understand "the flow" of an actual conversation between humans. When I ask a person something, I expect them to give me a short reply which includes another question/asks for details/clarification. A conversation is thus an ongoing "dance" where the questioner and answerer gradually arrive to the same shared meaning. LLMs don't do this. Instead,…

LLMs all behave as if they are semi-competent (yet eager, ambitious, and career-minded) interns or administrative assistants, working for a powerful CEO-founder. All sycophancy, confidence and positive energy. "You're absolutely right!" "Here's the answer you are looking for!" "Let me do that for you immediately!" "Here is everything I know about what you just mentioned." Never admitting a mistake unless you directly…

I don't think these LLMs were explicitly designed based on the CEO's detailed input that boils down to 'reproduce these servile yes-men in LLM form please'.

Which makes it more interesting. Apparently reddit was a particularly hefty source for most LLMs; your average reddit conversation is absolutely nothing like this.

Separate observation: That kind of semi-slimey obsequious behaviour annoys me. Significantly so. It raises my hackles; I get the feeling I'm being sold something on the sly. Even if I know the content in between all the sycophancy is objectively decent, my instant emotional response is negative and I have to use my rational self to dismiss that part of the ego.

But I notice plenty of people around me that respond positively to it. Some will even flat out ignore any advice if it is not couched in multiple layers of obsequious deference.

Thus, that raises a question for me: Is it innate? Are all people placed on a presumably bell-curve shaped chart of 'emotional response to such things', with the bell curve quite smeared out?

Because if so, that would explain why some folks have turned into absolute zealots for the AI thing, on both sides of it. If you respond negatively to it, any serious attempt to play with it should leave you feeling like it sucks to high heavens. And if you respond positively to it - the reverse.

Idle musings.

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#173

The thing that bothers me the most about LLMs is how they never seem to understand "the flow" of an actual conversation between humans. When I ask a person something, I expect them to give me a short reply which includes another question/asks for details/clarification. A conversation is thus an ongoing "dance" where the questioner and answerer gradually arrive to the same shared meaning. LLMs don't do this. Instead,…

LLMs all behave as if they are semi-competent (yet eager, ambitious, and career-minded) interns or administrative assistants, working for a powerful CEO-founder. All sycophancy, confidence and positive energy. "You're absolutely right!" "Here's the answer you are looking for!" "Let me do that for you immediately!" "Here is everything I know about what you just mentioned." Never admitting a mistake unless you directly…

The problem with these LLM chat-bots is they are too human, like a mirror held up to the plastic-fantastic society we have morphed into. Naturally programmed to serve as a slave to authority, this type of fake conversation is what we've come to expect as standard. Big smiles everyone! Big smiles!!

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#174
This is why TDD is how you want to do AI dev. The more tests and test gates, the better. Include profiling in your standard run. Add telemetry like it’s going out of fashion. Teach it how to use the tools in AGENTS.md. And watch the output. Tests. Observability. Gates. Have a non negotiable connection with reality.

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#175

Earlier quoted context omitted.

> The factual answer is traditionally the most plausible response to many questions Except in cases where the training data is more wrong than correct (e.g. niche expertise where the vox pop is wrong). However, an LLM no more deals in Q&A than in facts. It only typically replies to a question with an answer because that itself is statistically most likely, and the words of the answer are just selected one at a time i…

> Except in cases where the training data is more wrong than correct (e.g. niche expertise where the vox pop is wrong) Same for human knowledge though. Learn from society/school/etc that X is Y, and you repeat X is Y, even if it's not. > However, an LLM no more deals in Q&A than in facts. It only typically replies to a question with an answer because that itself is statistically most likely, and the words of the answ…

We likely learn/generate language in an auto-regressive way at least conceptually similar to an LLM, but this isn't just self-contained auto-regressive generation...

Humans use language to express something (facts, thoughts, etc), so you can consider these thoughts being expressed as a bias to the language generation process, similar perhaps to an image being used as a bias to the captioning part of an image captioning model, or language as a bias to an image generation model.

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#176

The thing that bothers me the most about LLMs is how they never seem to understand "the flow" of an actual conversation between humans. When I ask a person something, I expect them to give me a short reply which includes another question/asks for details/clarification. A conversation is thus an ongoing "dance" where the questioner and answerer gradually arrive to the same shared meaning. LLMs don't do this. Instead,…

> The thing that bothers me the most about LLMs is

What bothers me the most is the seemingly unshakable tendency of many people to anthropomorphise this class of software tool as though it is in any way capable of being human.

What is it going to take? Actual, significant loss of life in a medical (or worse, military) context?

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#177

The thing that bothers me the most about LLMs is how they never seem to understand "the flow" of an actual conversation between humans. When I ask a person something, I expect them to give me a short reply which includes another question/asks for details/clarification. A conversation is thus an ongoing "dance" where the questioner and answerer gradually arrive to the same shared meaning. LLMs don't do this. Instead,…

If you're paying per token then there is a big business incentive for the counterparty to burn tokens as much as possible.

Making a few pennies more from inference is not even on the radar of the labs making frontier models. The financial stakes are so much higher than that for them.

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#178

Earlier quoted context omitted.

Every thread like this I like to go through and count how many people are making the pro-AI "Argument from Misanthropy." Based on this exercise, I believe that the biggest AI boosters are simply the most disagreeable people in the industry, temperamentally speaking.

Just because I'm disagreeable it doesn't mean I'm wrong.

It means you are not representative of humanity as a whole. You are likely in a small minority of people on an extreme of the personality spectrum. Any attempts to glibly dismiss critiques of AI with a phrase equivalent to "well I hate people" should be glibly dismissed in turn.

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#179

Earlier quoted context omitted.

LLMs all behave as if they are semi-competent (yet eager, ambitious, and career-minded) interns or administrative assistants, working for a powerful CEO-founder. All sycophancy, confidence and positive energy. "You're absolutely right!" "Here's the answer you are looking for!" "Let me do that for you immediately!" "Here is everything I know about what you just mentioned." Never admitting a mistake unless you directly…

I don't think these LLMs were explicitly designed based on the CEO's detailed input that boils down to 'reproduce these servile yes-men in LLM form please'. Which makes it more interesting. Apparently reddit was a particularly hefty source for most LLMs; your average reddit conversation is absolutely nothing like this. Separate observation: That kind of semi-slimey obsequious behaviour annoys me. Significantly so. It…

This is a really interesting observation, as someone who feels disquiet as the obsequiousness, but have been getting used to just mentally skipping over the first paragraph that's put an interesting spin on my behaviour

Thanks!

Re: The "confident idiot" problem: Why AI needs hard rules, not vibe checks

#180

Earlier quoted context omitted.

LLMs all behave as if they are semi-competent (yet eager, ambitious, and career-minded) interns or administrative assistants, working for a powerful CEO-founder. All sycophancy, confidence and positive energy. "You're absolutely right!" "Here's the answer you are looking for!" "Let me do that for you immediately!" "Here is everything I know about what you just mentioned." Never admitting a mistake unless you directly…

I don't think these LLMs were explicitly designed based on the CEO's detailed input that boils down to 'reproduce these servile yes-men in LLM form please'. Which makes it more interesting. Apparently reddit was a particularly hefty source for most LLMs; your average reddit conversation is absolutely nothing like this. Separate observation: That kind of semi-slimey obsequious behaviour annoys me. Significantly so. It…

It’s not innate. Purpose trained llm can be quite stubborn and not very polite.
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