this post was submitted on 19 Nov 2025
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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: