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However, everybody who disagreed with the prediction when it was made was quite extremely wrong for many years. Even when you know something has to eventually flatten, it can be difficult to foretell when.

"Anything that can run Tasmota" for me. See here: https://templates.blakadder.com/plug.html Straightforward web interface, scriptable, native HA, supports every protocol under the sun. Works fine here.

Currently using a bunch of Nous A8T (EU plug) because they come with Tasmota ootb.


Same here, the one Matter over Thread device I have is the one that doesn't automatically come back up on a reset.

sure but you can't move to denmark for $12

I haven't had any problems in Germany.

And now imagine the introduction of iron has led to crowbars that make smashing doors a lot easier. Now it is quite unreasonable to account the reduction in smashing doors to iron, when the previous improvement was also due to iron.

Well, so? Then the prediction market would also price expected resolution time.


There is no problem and no contradiction between your views.

If you want it, and you think it's easy to replace, try to reproduce it with AI.

If you find that it is harder than you thought, then go back and pay for the original.


But the reason the cost is ever increasing is the steeply ascending quality. There's no (non-doom) scenario where this game does not end with profitable cheap tokens. Wherever it'll stop scaling, it'll be profitable to serve tokens at that scale. And of course if it doesn't stop scaling, it's the singularity and all this thought of profits is quite secondary.

An industry cannot fail because it's too successful.

edit: Other explanation. The industry has found a moneyprinter. It prints money, and several companies are building them and printing money. However, each one of those companies is cashflow negative, because they're all trying their desperate best to build an even larger moneyprinter. Why? If they don't build it and the next company over does build it, and it works, then company 1 is differentially outcompeted. what's more, the more expensive each moneyprinter is, once a company gets strongly ahead the second company won't get the financing to keep up with that one. ... But it's still moneyprinters. This is not an economic race that ends up with "and thus everyone stopped printing money."


> But the reason the cost is ever increasing is the steeply ascending quality.

Sure, if you say so.

> There's no (non-doom) scenario where this game does not end with profitable cheap tokens.

I doubt it.

> Wherever it'll stop scaling, it'll be profitable to serve tokens at that scale.

It’s much more likely, imo, that local AI models will completely destroy the entire business model of inference. For any entity that would be spending enough to replace multiple employees (allegedly), the cost of the hardware to do so is completely affordable. This has the major benefit of eliminating per token costs, and practically guaranteeing that some “AI company” can’t steal your company’s secrets.

At an individual person level, this hardware will take much longer to obtain, but it will happen eventually.

> And of course if it doesn't stop scaling, it's the singularity and all this thought of profits is quite secondary.

I still believe, strongly, that LLMs are the wrong path to AGI. There’s trillions of dollars being put into turning LLMs into AGI; however, there has no zero results showing that LLMs are capable of “learning” anything. “Skills” and expanded context windows don’t count. The “model” needs to be able to modify itself, in real time, for that to be possible.

We’re in a local maxima that strongly refuses to accept that it’s a local maxima. (Diminishing returns for the amount of money poured into “training” is beyond obvious to anyone paying attention).

> An industry cannot fail because it's too successful.

Sure it can. The fossil fuel industry is wildly successful.

It’s also boiling the planet alive, but that’s okay, it’s generating shareholder value so everything’s fine.

Edit for your edit:

> edit: Other explanation. The industry has found a moneyprinter. It prints money, and several companies are building them and printing money. However, each one of those companies is cashflow negative, because they're all trying their desperate best to build an even larger moneyprinter. Why? If they don't build it and the next company over does build it, and it works, then company 1 is differentially outcompeted. what's more, the more expensive each moneyprinter is, once a company gets strongly ahead the second company won't get the financing to keep up with that one. ... But it's still moneyprinters. This is not an economic race that ends up with "and thus everyone stopped printing money."

By your own definition it is impossible to achieve profitability without an ever increasing amount of money flowing into it.

There was a business about moving stamps around that needed similar levels of cash infusion to sustain itself. Eventually its bubble popped too.


> It’s much more likely, imo, that local AI models will completely destroy the entire business model of inference.

You're massively underestimating how much cheaper it is to serve models in a datacenter than at home.

> By your own definition it is impossible to achieve profitability without an ever increasing amount of money flowing into it.

No, what? No. This is just a total misreading of what I'm saying. It's extremely easy to achieve profitability. It just requires your business to stop chasing more profitability. The problem is just that then the other businesses who are still chasing more profitability will eat its lunch. It's a market shape that easily supports n-1 bankruptcies but never n bankruptcies.


> Diminishing returns for the amount of money poured into “training” is beyond obvious to anyone paying attention

Sure, if you say so.


Even the best ones really aren't very good at this yet.


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