paw

Out of interest, do you have any sources that what he does is not reliable? This is not some kind of I'm pissed off about your comnent, I'm actually not. Having said that, I see tgis as an opportunity to learn about Harris' shortcomings. Thanks in advance.

As far as I understood, the robot taxis may start production by 2026 or 2027. Shouldn't we live all on Mars by then, according to Musk?

/s

Additionally, if AI actually gives us this answer, tge answer we have already now, will we as a global society actualky implement it, because it sounds inconvenient (at least for some) or will we say, hey the AI seems to have made a mistake.

Besides streaming, i.e. the capability to watch the movies and series when you want and how much you want, and lowering the entry to produce videos for more people, they pretty much reinvented cable. Or did I miss something substantial?

Another tidbit: Operating systems (like Linux) usually provide a possibility to get entropy (ideally used as seed). Linux for example has /dev/urandom beyond others. Afaik, it uses the time between subsequent accesses to the hdd as one of the sources used to create the entropy.

A software solution usually can create "random" faster, with the drawback that its not actual random

The Mersenne Twister was a famous pseudo random number generator when I wrote my diploma thesis in 2009. Today, afaik, PCG (Permuted Congrentual Generator) are better.

From my opinion it is more computer science sorcery than math sorcery.

For true random generation you usually need some specialized hardware for it, that uses sone natural source of random. One could use the decay of a radioactive material as such a source or the noise one can get from audio input. Unfortunately, I don't know what actual hardware uses.

For pseudo random generation, you usually use a seed (ideally a true random value or something with a high entropy) which you feed into an algorithm like Linear Congruental Generator (LCG) or Mersenne Twister (there are lots of algorithms).

One further important note: Tge use case forvwhich you need random numbers is important. A video game could accept a random number generator with "lower" quality while a cryptographic algorithm always needs a cryptographic secure random number generator (don't forget: "don't roll your own crypto").

Finally there are quasi randim number generators, however this name is very misleading. The mathematical correct term is low discrepancy sequence. There are not random at all but can be used and have useful properties in some settungs where pseudo random number generators can be used. Never in a cryptographic algorithm, though.

That's the reason I'm deeply offended. I'm german too. 😉

Can it be used on a "normal" android phone or just android tv?

My understanding of the whole "being beneficial for humanity" is that:

1. It's kind of a meme that you need to have as a silicon valley start-up. Like Google's niw dropped "don't be evil".
2. If the founders and the investors, the share holder, get rich or richer, then this is already beneficial to humanity. In a net positive way similar to trickle-down-economics. At least thatvis what I think their line of thinking is.

Having said that, I think LLMs or Machine Learning can be used for useful things but I also think - as stated - the message " being beneficial for humanity" is hollow in a broader sense.