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Are they improving? I thought they were just getting more expensive
Mythos apparently wrote a poem so beautiful it made Dario cry.
Violets are blue
AI is great
And so are you
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A non-technical friend of mine has just won some hospital contracts after vibecoding w/ Claude an inventory management solution for them. They gave him access to IT dept servers and he called me extremely lost on how to deploy (cant connect Claude to them) and also frustrated because the app has some sort of interesting data/state issues.
What concerns me about this is that as these stories multiply and circulate people will just completely stop buying software/SAAS from startups, because 90% or more will be this same thing. It will completely kill the market.
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As the models keep improving, wouldn’t you be able to task a newer AI to “clean up this mess”?
Ai runs `rm -rf`
I'm pretty sure he's talking about companies and people outsourcing their decision making and thinking to AI and not really about using AI itself. I don't think using AI to write code is AI psychosis or bad at all, but if you just prompt the AI and believe what it tell you then you have AI psychosis. You see this a lot with financial people and VC on twitter. They literally post screenshots of ChatGPT as their thinki…
The way I put this to myself is that AI gives “correct correct answers and incorrect correct answers”. They almost always generate logically correct text, but sometimes that text has a set of incorrect implicit assumptions and decisions that may not be valid for the use case. Generating a correct correct solution requires proper definition of the problem, which is arguably more challenging than creating the solution.
It's an incredible tool but it's also very derpy sometimes, full of biases, blind spots etc.
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The way I put this to myself is that AI gives “correct correct answers and incorrect correct answers”. They almost always generate logically correct text, but sometimes that text has a set of incorrect implicit assumptions and decisions that may not be valid for the use case. Generating a correct correct solution requires proper definition of the problem, which is arguably more challenging than creating the solution.
It’s simpler than that - it’s a guessing machine that has superior access to a whole load of information and capacity to process at a speed at which we humans cannot compete. Does it make it better than us? No because ultimately the thing itself doesn’t ‘know’ right from wrong.
The standard of most employment is already to produce mediocre, plausible outputs as cheaply and rapidly as possible. It's a match made in heaven!
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This might not pan out to be the glorious victory of human craft as you’re imagining it to be. Here’s a slightly different future - these AI rescue consultants are bots too, just trained for this purpose. Plausible? I have already experienced claude 4.7 handle pretty complex refactors without issues. Scale and correctness aren’t even 1% of the issue it was last year. You just have to get the high level design right,…
I think that will happen. I think several things can be true at the same time: - AI Hype - AI Psychosis - AI keeps getting better and better until it can work around big AI slop code bases
The belief in this is a form of AI psychosis, I think.
Maybe in the future but certainly no evidence of this anytime soon
You should not release a product into the market unless you have a good enough product that can keep you and your client compliant, safe and secure - including not leaking their customer info all over the place.
Prompt injection risk, etc. are massive for agentic AI without deterministic guardrails that actually work in practice.
Stop testing in production if you're shipping in a regulated industry. Ridic!
If you're not technical, you can get someone who is after signs of p-m fit, demos, but BEFORE deployment. This is common sense and best practices but startup bros dgaf because they're just good at sales and marketing & short term greedy.
Comical.
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Correct. I use AI a ton and I'm having more fun every day than I ever did before thanks to it (on average, highs are higher, lows are lower). Your characterization is all very accurate. Thank you. Here's some other topics I've written on it: - https://mitchellh.com/writing/my-ai-adoption-journey - https://mitchellh.com/writing/building-block-economy - https://mitchellh.com/writing/simdutf-no-libcxx (complex change th…
I thinking that it’s quite a different experience going all Jackson Pollock with AI in your own studio on your own terms, compared to the sorry state of affairs of having 100s of Pollocks throwing paint around wildly within a corp to meet a paint quota.
I wish I had written that.
I think AI rescue consulting is going to be come a significant mode of high value consulting, similar to specialists who come in to try and deal with a security breach or do data recovery. Purely AI written systems will scale to a point of complexity that no human can ever understand and the defect close rate will taper down and the token burn per defect rate scale up and eventually AI changes will cause on average m…
> Purely AI written systems will scale to a point of complexity that no human can ever understand and the defect close rate will taper down and the token burn per defect rate scale up and eventually AI changes will cause on average more defects than they close and the whole system will be unstable. Wow, it’s true, AI really is set to match human performance on large, complex software systems! ;)