"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.

nft

What's next?

Cellphone in the breast-pocket do the same, I guess they'll sue the shirt and jacket companies next.

Both are legal.
There is no expectation of privacy in public.
Every Tesla films you with a dozen cameras, anybody can have their phone in the breast-pocket filming you.
The law allows it.
People should get over it.

Landfilling is largely a North American practice today, while the EU has systematically phased it out.

North America:

        The Default Method: Roughly half of all municipal waste in the US and Canada still goes straight into landfills.

        Abundant Land & Decentralization: Vast geography historically made burying trash cheap, and waste policies vary widely by state rather than a strict federal ban.

The European Union:

        Strict Bans: The EU's Landfill Directive requires member states to reduce municipal waste sent to landfills to 10% or less by 2035. Many countries have already banned burying untreated household waste entirely.

        Energy Recovery: Waste that cannot be recycled is routed to modern Waste-to-Energy (WtE) facilities, which burn it under strict emission controls to generate electricity and district heating, leaving behind only minimal inert ash.

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 seem to misunderstand each other.

The same position is reached 25 times per second, because it does it 25 times per second.

ALL the views around are ALSO captured 25 times per second.

Can it generate bank sites where people an enter their user names and passwords?

If yes, I take 2.

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.

To be useful in deep space, you're going to have to deal with very harsh radiation, far harder than the Vikings dealt with. You really want to have some large number of computers, where the number has to be odd and exceed 5. The reason it has to exceed 5 is that you need 5 in order to be able to use the Byzantine General's Problem to discern which computers are working correctly and which are radiation damaged. Since some will be damaged over time and you want 5 computers still operating around the time the power runs out, you have to start with more than that.

Massively radiation-hardened highly-robust low-power chips could be done. If you were clever enough, you could do this as a wafer-scale system where you marked parts as bad and networked around them. Free space optical communication across the wafer might be doable.

They might well still end up being low-density CMOS discrete logic.

Lead-lining the electronics isn't as much of a problem if you've launchers capable of handling heavy objects and don't mind burning through a lot of ion drive propellant for course corrections. This would improve the hardening beyond what can be done through the usual operations.

But, yeah, you'd need defect-free microelectronics. You really can't handle F00F bugs or defective instructions once you pass Earth orbit. And I can't think of anyone who knows how to do that.

Well, not just the solar system but the heliopause as well, and the near-Sol galactic winds. We can estimate the effects of space from just about any ancient near-Earth space junk, but I'm not sure how we'd go about calculating the impact of the galactic winds on something. The Voyager sensors won't be sending back nearly enough high-quality data to establish that.

It's actually a lot harder. The fly-bys invovled gravitational slingshots, which not just steered the probes but vastly accelerated them. Without the slingshots, human rocketry of the time would not have had the capacity to get probes to solar system escape velocity.

Our understanding of asteroids is now reasonably good. We know they come in solid and rubble-pile formats. We know that several show signs of lava flows, suggesting they come from disintegrated planetoids with a liquid core. We've managed to land on some and even retrieve samples from one.

Our understanding of comets is much weaker. We know that several appear to be multiple bodies fused together with ice (the one we tried sending a lander to was of this type) and the break-up pattern for Shoemaker-Levy 9 is suggestive (but not proof) of it having been a composite structure too. The one icy body we've seen in the Kuipier belt was also two bodies frozen together. Photographs of the core of Halley's Comet also suggests two bodies fused together with ices. This leads to some interesting questions. Obviously the probability of this configuration is very high, but what is the probability of other configurations? Is it so incredibly low that the odds of finding single-body or triple-body configurations is practically non-existent?

(This is kinda important if NASA is serious about a DART-type project to redirect one.)

Our understanding of solar system captures is non-existent. If there are extra-solar objects flying through every few years, then there is a definite non-zero probability that there are significant extra-solar objects that have been captured by the solar system in the last 5.5 billion years. That would be kinda very useful to know.

Current solar system formation models don't work well, but planets have sorted their composition by mass. Studying them only tells us so much. Asteroids are more useful but hit each other too often, so we don't know how much mixing and reconstitutuing has occurred there. The Kuipier Belt is much better, from that point of view. The density is far too low and most of the objects far too small. A lander could obtain a lot of extremely useful data about how the solar system formed that we can't obtain closer.

The Oort cloud is theoretical only, at this point. The only way to find if it is real is to send something out there.

If we're to get any probes in the future to go between solar systems (and such missions are entirely possible), we need to know a great deal more about the heliopause and the galactic winds.

"For example in a few years Germany will probably have high taxes for the owner of a gasoline car,"

Too late, they already do.
Below a few US models and what they would cost in Germany:

US CARS - ANNUAL GERMAN VEHICLE TAX

Large SUVs/Trucks:

Cadillac Escalade (6.2L) - 393 g/km: €1,167
Ford Expedition (3.5L) - ~360 g/km: €1,040
Chevrolet Tahoe (5.3L) - ~355 g/km: €1,014
GMC Yukon (6.2L) - ~380 g/km: €1,128
Ford Super Duty (6.7L diesel) - ~385 g/km: €1,144
Dodge Durango SRT (6.4L) - ~385 g/km: €1,144

Full-Size Pickups:

Ford F-150 (5.0L) - ~270 g/km: €625
Chevrolet Silverado (5.3L) - ~280 g/km: €791
Dodge RAM (5.7L) - ~272 g/km: €648
GMC Sierra (5.3L) - ~275 g/km: €756

Performance/Muscle:

Chevrolet Corvette Z06 (5.5L V8) - ~320 g/km: €840
Dodge Charger R/T (5.7L V8) - ~212 g/km: €291
Chevrolet Camaro SS (6.2L) - ~335 g/km: €945
Ford Mustang GT (5.0L) - ~290 g/km: €880

Electric US Cars:

Ford F-150 Lightning: €0 (tax-exempt until 2030)
Cadillac Lyriq EV: €0 (tax-exempt until 2030)
Chevy Blazer EV: €0 (tax-exempt until 2030)