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I don't think that argument holds up. See quantum mechanics.

Quantum mechanics is demonstrable on a lab bench (or smaller), so your counterargument is completely wrong.

Any useful consequence of a physical effect is, in effect, an experiment that could test that effect. So if the smallest test is with a machine the size of a small country, no device using the effect can be smaller.


The first working transistor was centimeter-scale, now billions of them fit in that space.

The first useful internal combustion engines were room-sized, now they fit on a moped.

The truck-sized hole in your argument is talking about "the smallest test". First discoveries/demonstrations of interesting phenomenons don't typically happen at the smallest scale (why would they?).


The first working transistors and engines were of the size which happened to be most convenient to work with. They could then be shrunk because fundamental physical limits to their size were far below human scale. Their inventors were neither constrained by nor interested in those fundamental physical limits. They were inventors, not scientists.

In contrast, a particle accelerator like the LHC is designed from the outset to explore physics at a given energy scale at the lowest possible cost. Shrink it any further and it will no longer work. Despite decades of attempts to come up with alternative designs, when time comes to draw up plans for a successor capable of pushing to even higher energy, it's just more of the same:

https://home.cern/science/accelerators/future-circular-colli...


Because if it were possible to (say) find the Higgs boson at a smaller scale, they would have done that.

They’re using big things to do experiments. Maybe they discover some new physical effect. How do you know that that effect couldn’t be demonstrated in some smaller scale experiment after it’s understood better?

Effective field theory

https://en.wikipedia.org/wiki/Effective_field_theory

demonstrably works up to the electroweak scale, which requires an LHC-sized machine to probe.


Can you tell me of an example where that has happened? I can't think of any.

How can people still make such mistaken analogies when ChatGPT was released over three years ago?

Totally on point, except I'm pretty sure Jobs was not like that. From what I've read he'd be more of a hands on "agentic engineer". Baby-sitting his engineers and designers and steering them.

I think Asimov is right that 1984 was not intended as a forecast but rather a depiction of Stalinism with British characteristics, so to speak.

>In short, if 1984 must be considered science fiction, then it is very bad science fiction.

Based on this quote and others, it seems Asimov didn't believe that Orwell intended the novel as science fiction, although others categorize it that way. I would say he's attacking the interpretation of it as science fiction, but it veers into an attack on Orwell, which is unfortunate.

You write

>Science fiction does not _forecast_.

Not to be overly pedantic but to be fair to Asimov, he didn't exactly say science fiction _necessarily_ does that, but rather it's a knack related to science fiction.


I worship both thank you very much.

This is a nice guide. I especially like the masked decoding diagrams on this page https://nanonets.com/cookbooks/structured-llm-outputs/basic-....

edit: Somehow that link doesn't work... It's the diagram on the "constrained method" page


One of the authors here, will checkout the diagram link.

Every commercial model provider is adding structured outputs so will keep updating the guide.


I guess this applies to the type of developer who needs years, not weeks, to become proficient in say Python?


What's most useful to you is not necessarily most useful to the business. The bar for critical thinking to get staff at this company I've surely heard of must not be very high.


People did?


I predict by the end of next year we will have our AIs write TPS reports.


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