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> It's unfortunate and surprising that there's still no effective drug, though lidocaine does, in fact, work. (Very temporarily, sadly.)

There's some research, but yeah, I'm surprised that something that affects so many people and in some cases affect them very severely isn't receiving more attention.

At least there are things one can do immediately after the fact to limit nerve damage (applying intratympanic steroids etc), but even these things are often missed and haven't become part of routine procedure yet.

And I'm very curious why Shore's device is still stuck in FDA hell while the (from what I've heard) inferior version, Lenire, passed a long time ago.


> Why do LLMs use these phrases so much if humans rarely use them in written form?

As far as I understand, it's due to RLHF. The reviewers the AI companies use don't necessarily know what kind of question is a good one, so when the LLM answers "That's a good question!", they tend to rate the answer higher because they like being flattered. Proxy models that are themselves trained on RLHF inherit this pattern. Similar effects contribute to sycophancy.[1]

[1] https://arxiv.org/abs/2310.13548


The mental transaction cost is the hard part. The effort required to decide whether to pay at all is significant enough that payments don't scale down to the micro- level.


It's only mathematics-adjacent, but Stephen Hawking was known for making quite a few bets.

https://www.science.org/doi/10.1126/science.359.6382.1317


I don't think that's people who refer to Tyranny of Structurelessness mean.

At least I read it more as that you can't just declare 'there be no hierarchy here' and be done. Unless you carefully engineer the system, the implicit hierarchy will reclaim the void and, all else equal, an implicit hierarchy is harder to undo because it isn't supposed to exist.

In political terms: if all you do is kick the ruler out, you may get a corrupt patronage network instead of democracy. Actual equality doesn't come from just the absence of strong explicit hierarchy; it requires proper institutional design.


And that argument is a bad faith smearing of less centralized organization structures. That is 100% how I have seen it used. The results tend to be awful.

As a society, we have codified "business douche" structures as inevitable. It is fair to ask who benefits from this. Usually it's about people installing themselves as the top of the hierarchy, hoarding money, power, and status.


Sure thing, here's your neural VR interface and extremely high fidelity artificial world with as many paperclips as you want. It even has a hyperbolic space mode if you think there are too few paperclips in your field of view.


Users of practical software would probably not accept the program taking forever, so you could implement a runtime constraint. With a runtime constraint, every TM effectively halts, so making nontrivial observations about them should at least be computable.

Not that it would be easy.


The dark humor in this is that any such technologically advanced future where humans have a meaningful say will eventually look like one of abundant luxury communism: it's just that the oligarchs' version will have a lot of people die first before the oligarchs enjoy their abundance.

The third option is that the oligarchy fully internalizes its pursuit of ruthless concentration of power. But in that case, someone will probably create an AI that's better at playing the power game, and at that point, it's over for the oligarchs.


I think you could do most of it as a point and click. Perhaps with the exception of that one command (if you know what I mean) because the mere possibility of it would be revealing in a point-and-click. But you could do that in a Sierra AGI type graphical adventure because that still has a parser.

On topic, I would myself recommend Coloratura - https://ifdb.org/viewgame?id=g0fl99ovcrq2sqzk - for the sense of wonder/unusual protagonist.


Perhaps you could do a hierarchical approach somehow, first generating a "zoomed out" structure, then copying parts of it into an otherwise unspecified picture to fill in the details.

But perhaps plain stable diffusion wouldn't work - you might need different neural networks trained on each "zoom level" because the structure would vary: music generally isn't like fractals and doesn't have exact self-similarity.


You seem smart. How do I follow you?


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