this post was submitted on 14 Aug 2026
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This article conflates the disdain for corporate entities shoving LLMs everywhere with the underlying mathematics that drives their machine learning algorithms, and labels everything as AI without a lens of criticality.
He might have done so on purpose because the intended audience is already doing the same. First save them from driving off the cliff, then explain the difference between AI and ML ...
I assume this might be the case because otherwise the article seems very well put together and it is difficult to imagine the author isn't aware of the difference. I admire how the author managed to remain calm and diplomatic in the face of the current psychosis.
He is not only an open source contributor and entrepreneur, but also has learned how to communicate such matters to a non-technical audience. An incredibly valuable capability for the open source community.
It’s important to differentiate because they’re rankly two seperate topics - where the authors sole intent is to shill out LLMs. The only time he reference’s ML is while speaking of the Chemistry Nobel, with a personal blog tailored to technical people. So…. Disingenuous.
Does it really? He does not omit to mention that generative AI might be more useful in the future, and AI algorithms have been used successfully.
Yes.
LLMs are fancy autocomplete. He then has a counter example of actually useful AI that has beeen around for decades and isn't what people who criticize AI are talking about because corporate LLMs have coopted 'AI' in their branding.