Eh? This is incorrect. Perhaps most fictional murders are premeditated, because that makes for a more interesting mystery to solve, but in real life, the vast majority murders are impulsive, spontaneous acts that happen during arguments, fights, or emotional outbursts (often with the help of alcohol and/or readily available weapons).

You're right, they'll run the numbers and take whichever path maximizes their net profit -- but shuttering (or even heavily modifying) a facility that they've just invested $$$$ into is unlikely to be found to be their most profitable option. More likely they'll try to sell memory chips at a profit of +$.25 per chip in large volumes, because when you've got is a giant hammer, hammering lots of nails is what you can do best.

I wonder if anyone will start selling home systems capable of using cast-off data center RAM? It might be worthwhile if there's lots of that sort of RAM floating around for cheap.

Sure, a company could use an increase in productivity to allow their workers to work fewer hours while getting the same amount accomplished... but capitalism doesn't work that way. Instead, the company will use the increase in productivity to get more work done in the same amount of hours as before... or if they don't, their competitor will, and thereby obtain a competitive advantage over them.

This is especially true for salaried employees, where the cost of the employee to the company is the same regardless of how many hours the employee works, and it is therefore in the company's financial interest to maximize the return on its salary "investment" by getting as much output from the employee as possible in any given pay period.

Agreed. It should be more like $25. $100 is _way_ too much.

Also don't forget having to use Apple hardware to do the development.

Whether we like it or not, whether we use Windows or not, Microsoft is going to insist on adding the tax whether the PC comes shipped with Windows or not. This is illegal bundling, Microsoft has essentially ignored prior rulings, and it's pretty much a certainty the courts will be fine with this.

I've got a co-worker like that; every email I get from him is just him copy-and-pasting text from his pet AI, and when I reply, he forwards my email on to his AI to read and generate the next reply for him.

Which raises the question... exactly what value is my co-worker providing there? Sooner or later management will notice that they are paying six figures of annual salary to what is essentially just a very slow meat-based email relay, and they'll lay him off and just have me communicate with the AI directly instead. There's a fine line between "all in" and "all redundant".

It all depends on one thing: Will your speech-driven AI agent reliably accomplish the tasks that you told it to do? If so, great, we've entered the glorious Star Trek future. OTOH if it screws up, even just 5% of the time, it'll be kicked to the curb, because a "timesaver" that you have to stand over and supervise to make sure it doesn't go wrong is no timesaver at all.

"How did you get hired?"
"I was top at Fortnite. You?"
"Combat flight sims."

"Damn, two Boeings just crashed over an oil refinery on city limits and took out half the city."
"Did you remember to save your position beforehand?"
"Yeah."
"The reload and continue from there. No-one will notice."

I love computer games. I have XPlane 12 and many scenery packs. I rank well on Elite:Dangerous. From the sounds of it, the FAA would see me as over-qualified. In reality? There's no way in hell I'd be taking those kinds of risks with real lives. There's a huge difference between having good reflexes and a good eye, versus having the complex 4D spacetime relationship mental models needed for robust air traffic control.

You see, Linus has embraced transhumanism and is testing out the new kernel as a supplementary brain function, using MOSIX to offload all of the irritable comment generation at yet more nonsense on the mailing list to an Elizabot that he has written specifically to do this. This saves his actual brain for real work.

AI is not currently capable of performing any meaningful conceptual abstraction, it is only capable of very basic mechanical abstraction. Abstraction is itself multi-dimensional. Nor is there any indication that AI could ever perform multi-dimensional abstraction or multi-dimensional decomposition. Precious few humans are capable of it either, but some can.

No, AI would need humans because the best system is not a pure system but a hybrid system, and that means transhumanism with AI operating as an additional brain function rather than as a replacement for a brain.

Tool calling is, yes, but the current approach to it is (a) overt not transparent to the user, (b) not designed for the purpose I've outlined, and (c) not remotely good enough for the AI to be able to manage data through such tools.

Yes, you can connect an AI to a PostgreSQL database. Whoopee. Not even close to an AI detecting via classifiers that some of the data is relational in nature, transparently setting up its own PostgreSQL database in response, and using that proactively as an additional way to examine the data. You would need to explicitly set up the constructs, explicitly set up the databases, explicitly tell it when, where, and how to use the database, and if that particular usage conflicted with a way the AI actually worked, the AI would not be able to use it effectively. That's not remotely close to what I'm talking about.

What I'm talking about is much, much deeper than that. AIs lose focus when there is too much information currently in the system. Absolutely nothing stops an AI from using a document database as a virtual memory in which it can page in and out conceptual spaces so that the focus on any given step of a problem concerns just the problem. Other than such a concept not existing yet, which is kind of a limiting factor. But you need to know what connects to what. The AI could use an ontology reasoner for that, or a relational database, or an external graph. But you cannot provide those tools and you cannot configure them, for the simple reason that the AI is the only entity with any detailed map of how the underlying neural net is connecting those ideas up.

The AI itself has to select the tools, has to configure the tools, has to do all the work. Which means YOU cannot use any sort of API. YOU should have no involvement in the underlying mechanisms needed for the internal NN housekeeping.

And that's your other error. You're assuming this is about user data. No. It's about housekeeping operations within the NN itself to maximise functionality, it has nothing to do with the user side of things at all. If the user was capable of setting up dynamically structured databases that mutated with each step of a decomposed analysis, you'd have done everything the AI would be doing and you wouldn't need the AI to begin with.

You cannot do this work, you cannot even assist in this work, it has to be dynamic and it has to be utterly invisible to the operator.

We don't need bigger models, at this point. What we need is multi-dimensional decomposition, problem space transforms, and the ability for AI to use external tools (such as SQLite, memcached, etc) so that it can externalise static data that it needs to not corrupt accidentally but still keep in easy access.

If we had that, most of the things "bigger models" will do will actually end up being done better, quicker, with fewer compute resources.

I was saying this 20+ years ago when I was studying AI and its history back then, long before LLMs existed.