Comment by piokoch
8 hours ago
"Tailwind didn't win because it's the best CSS solution. It won because it has the most tutorials per capita in the training set."
Obviously. People keep forgetting that "Artificial Intelligence" does not think and is not intelligent. It just statistically predict next token in a sequence. It is all statistics.
So, Django 6 has new task framework, but LLM does not care, as Celery has better stats.
Side note: it is not only LLM thingy. Companies for years were choosing tech stack because of fashion or popularity, regardless on technical feasibility for a given solution. So we have companies adopting Kafka, even though it sucks for their usecase, companies switch from Jenkins to Github Actions, even though Jenkins was cheaper and more performant.
"does not think and is not intelligent. It just statistically predict next token in a sequence. It is all statistics"
Technically correct, but pretty useless as a working model. Like sayin humans are not intelligent. It's just biochemical and bioelectric reactions. It's all physics.
How would you, from a Searlian perspective argue against "humans are just statistical next token predictors"?
We don't know what humans are because they are a black box, we use some imperfect models that have limited usability in specific contexts.
LLM is white box that we know for sure is just a statistical next token predictor and nothing more. It's not a just a model of some black box we are trying to understand but the whole actual thing. That people think it's something more or could be something more is on them. If you understand that then you understand the flaws, limitations and vulnerabilities which is very useful.
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