nice analogy between the output of llms with stream of thought conversation - wherein statements are made off the cuff and possibly confabulated.
as opposed to correlating statements with knowledge structures
knowledge structures as we construct it are symbolic, with symbols representing abstractions (ie classes), along with relations between these symbols. human ingenuity consists of coming up with new symbols or new relations between existing symbols (which is a process of abduction) based on new perceptual inputs (either our senses or instruments). Such knowledge structures are powerful because, they allow us to build giant towers based on solid foundations.
> For the things that you have deep knowledge on you
> will sometimes find yourself solving a problem
> just by constructing sentences.
This is another way of saying that you have clarity in that subject, and so your stream of thought aligns with knowledge structures - which is another to say that you really understand something. However, in my experience very few people are able to stay within their lanes (competence), and most of us tend to babble on topics we really dont have knowledge structures for. also, few people have the self-awareness of what they really have knowledge structures for (ie, know what they dont know).
I don't read TAOCP. I have read first few chapters of volume-1 so I am familiar with the notation and some MIX syntax.
But while writing this article, I just opened up specific topics, such as computing Fibonacci numbers in volume-1, or evaluating powers in volume-2 and I managed to understand it. Sometimes you may find back references, such as when discussing Fibonacci numbers, he references Euclid's algorithm and you may have to go back and check it out, or ignore it (depends on the context). So I believe you don't necessarily need to read from cover to the end; you can browse it based on your interest.
While EV resale prices lag ICE, they're on the rise while ICE resale is waning. Considering the lack of maintenance and not paying for gas the math almost always works out in the EVs favor if you hold onto it for 3 years or more.
I dont think the assertion that "EVs have lower maintenance cost" is backed by hard data yet.
And for DIYer like me who want a "right to repair" - EVs dont even have repair manuals - why would i want to buy one - and have the manufacturer own me ?
modern cars are too complex for their own good. the electricals in the car are the worst offenders here. it is too time consuming to debug and fix them.
EVs do have much lower maintenance costs - they basically don't need maintenance.
However, if they are damaged, they have much higher repair costs, and in Hertz' case I can see how this could dominate - I expect rental cars get frequent minor damage as they are driven a lot by people who don't know the cars well and don't care about them much.
It doesn't have to be this bad - car companies could design for repairability, but it's not a selling point and it is a way for them to claw back profits.
No, it does not matter if fixing a Tesla is expensive, as long as their insurance doesn't cost more than third party insurance. Quite the opposite - more expensive repairs probably means more margin for the insurers. They are going to get the money back from premiums anyway.
Actually all car companies have incentive to lower repair costs because people look at the cost of insurance when they buy a car, but I don't think it's a big consideration for most people when they are deciding what car to buy. It's normally a negligible cost compared to the repayments for the car.
Repair costs are high when you need to repair them, but you basically never need to repair them, so in my book it's a wash.
I've had two EVs now and never had to bring any of them to the shop. No oil change, nothing.
I'm guessing Hertz might have structural reasons to experience high service costs, perhaps because at their scale it was much more cost effective to service ICE cars in-house, which is probably not an option for their EV fleet at this time (or they haven't tooled for it?)
this is anecdotal but a friend who owns a tesla has had no repairs except 2 battery replacements - each of which would have been prohibitive out-of-warranty.
A battery expert i spoke to said that battery management is a complex mechanism, with lots of software and electronics - and it is not yet modular to enable easy repairs by the local joe mechanic
I guess we are at that part of the hype-cycle where the initial excitement is turning into doubt.
At this point, the vested interests (ai-vcs, startups, ai-researchers etc) must unleash a new wave of propaganda to keep the faith.
eg: sama drops a tweet: "saw AGI yesterday in a dark alley", or musk says "optimus did a cartwheel - whoohoo", or lecunn publishes "chain of thought is all you need" on arxiv.
methinks crypto had more legs than AI - at least the initial adopters made some quick cash out of it.
the person is incentivized to view the events in that manner (ie works for or is associated with cruise/autopilot etc)...