this post was submitted on 19 Nov 2025
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^ This.
It's a neat, under-construction tool.
A. Tool. An 'agent' to do niche things is neat.
...But I don't need a chatbot on my fucking toaster.
Even as a tool it lacks predictability / reproducability. If I give instructions to download a paint program, start a new canvas of 1920x1080 and use the gradient tool to go from red to green, you're going to get the same result every time. If I instead told a class of students to ask an AI to generate a red to green gradient on a 1920x1080 canvas, the results would not be consistent.
I use AI, but it is a tool with flaws.
I don't get the analogy... of course a bunch of students using different tools with different inputs will yield different results? But if they use the same model and input at zero temperature, they will, in fact, get the same results, just like any code.
Predictability has never been a strength of ML, of course.
...That's not really what it's for. It's for finding exotic stars in a mass of astronomical data on a budget, or interpoliating pixels in an image, or for identifying cat videos reasonably well. That's still a useful tool. And the modern extension of getting a glorified autocomplete engine to press some buttons automatically is no different if structured and constrained appropriately.
The obvious problem, among many I see, is that these Tech Bros are selling underbaked... no, not even half cooked agenic systems as sapient magic lamps. Not niche tools for very specific bits of automation. Just look at the language Suleyman is using:
If you use the same seed on the same model with the same weights you get the same results.
That's not the predictability we want. If I write a calculator that adds the output of rand() to any result, it will also be repeatable with the same seed on the same machine. It will be non-functional as a calculator though.
Depends on your use case. Adding 0.000001*rand() to a large number retains the functionality as a calculator.
Your argument that AI isn't useful may be valid, but claiming that AI is not repeatable is false.
AI is in fact not meaningfully repeatable in actual usage patterns.
Agreed. The word "patterns" is an important qualification. LLMs are great for one off tasks, but not as part of a repeatable process.
Technically its repeatable under perfect conditions? Probably I don't understand it well enough.
Realistically repeatable when Average Joe gets his hands on it? Not today anyway.
The seed for the random number generator isn't usually exposed to the user. Also the AI service providers regularly update the model and/or weights, producing different outputs.
If you are running your own LLM on your own hardware you can guarantee repeatablity, but that's not what your average Joe does.