> the AI pessimism is hard to understand in this context
This is a burden of proof inversion: historically new technology has not resulted in optimistic outcomes. Quality of life improvements were side effects of capital accruing. AI optimism is the naïve option that requires justification.
There seem to be multiple mechanisms compensating for imperfect, lossy memory. "Dreaming" is another band-aid on inability to reliably store memory without loss of precision. How lossy is this pruning process?
It's one thing to give Claude a narrow task with clear parameters, and another to watch errors or incorrect assumptions snowball as you have a more complex conversation or open-ended task.
>What a great way to summarize LLM behaviour in 2026
Well they have been trained on words spoken by humans and that has been a human behaviour since time immemorial. E.g.: "I do not agree with you that you were wrong. I do apologize for my strong disagreement but we actually do need your continued guidance desperately."
> It's why for example occupy wallstreet was such a laughable failure.
This claim is enormous. I would instead argue that the movement lacked cohesiveness because it basically complained about too large a set of (correctly identified as interconnected) issues and lost momentum because the surface was too large.
That said, I agree w your point about a face being important. Even in software, where tech can speak for itself, we see this heavily: Torvalds, Matsumoto, van Rossum, Jobs,
Rebuttal: we are yet to see this actually materialize beyond the theoretical fantasy. We have seen this with computers and internet already: the supposedly democratic technology consolidated in a few platform monopolies.
Housing prices are not binary: they have skyrocket in every major city and city-adjacent suburb. The middle class has consistently declined since the 70s.
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