I still remember giving Mathematica a relational equation of the atomic radius expectation values for it to integrate by parts and collect terms... at the time it failed to find the right integrating factor and gave gibberish. Probably works now.

That's also how you can tell if your calculator is "lying" to you (or you typed wrong). I guess I have a few similar tools in spaces where I'm more experienced to see when "hallucinations" and gibberish are being generated by LLMs. Of course having it "check sources" and evaluate its own solutions sometimes also works, if those are reliable, but you're on the hairy edge at that point.

One is currently a problem, the other isn't.

Of course there are 6, 8, and larger numbers of rotors used in actual drones. The advantage of more rotors is that redundancy to failure can be built in, and that rotor tip speed for a given lift can be somewhat reduced at the cost of efficiency.

Although Tokyo does have a system of traffic cameras which log traffic movement and license plates, that's most all that it does. Except in cases of murder or kidnapping (or political influence), it's quite rare to request the recordings of many private cameras. Outside of big cities, it's even more rare.

The largest connected system of cameras I'm aware of are for the subway camera systems (Shinjuku, Shinagawa, etc). Although independent systems, together they can do facial recognition to track individuals. Not a lot of AI yet, though.

In Tokyo, it is not uncommon to see bikes parked on residential streets with keys left overnight in their wheel locks (as if there aren't even mischievous 12 year olds?!). Oh, and outside of the cities, crime is even more rare. It is common in youth hostels for there to be open cubbies where personal items are stored in the front near the door. Nothing is taken. Most common thefts are: umbrellas (considered a fungible public good?), unlocked bikes (in high traffic business areas), women's underwear (off of outdoor drying racks).

Some are useful.

Having theories that only give answers, but you can't reason about is not as useful. Having a theory where you don't know the limits of it's applicability, can be very dangerous.

At least in the physical realm there is not yet anything that combines relativity with QM so they can only be approximations. Even in math so far there seem to be similar challenges using programatic and "AI" driven solutions and proofs.

Still, I know that LLMs will be useful for Verilog/VHDL and particularly with verification, where they are already heavily used. Defined outputs and complete test coverage is already such a big part digital/asic design, I'd be surprised if it isn't used a lot more. Many software people would say that hardware is badly written copy-pasta, as it is. That said, higher velocity slop and hardware "technical debt" isn't something you can fix with an update. And no matter how fast you "ship", you won't get parts back in less than a few months. Poorly used, it will lead to expensive failures.

https://www.pacificresearch.org/time-to-ask-why-so-many-san-...

In 2014 MPDL purchase 110k out-of-print and historically significant titles. In 2015 Springer acquired open-access journals from Max Plank Society. In 2022 There was an open-access book deal allowing Plank Institute members to more easily publish books.

Things were more not always so intertwined and in 2007 the Society canceled a licensing agreement with Springer due to subscription prices and usage restrictions.

One can argue what fraction of the several million children's (under 5) deaths are (going to be) due to cuts by DOGE to USAID (and later congressional appropriations) from Grok recommendations/justifications, what fraction were politically pre-determined, and which are "just deserts", but it would be hard to put it at zero.

https://ph.ucla.edu/news-events/news/research-finds-more-14-...

Of course the story is just a murder mystery.