According to Johnny Harris (https://m.youtube.com/watch?v=WYQxG4KEzvo) he does go into the details, according to Johnny’s sources. I can’t stand Elon as well, but I’m no longer sure if he’s just an investor.
Software engineering, Rust, Zig, embedded
According to Johnny Harris (https://m.youtube.com/watch?v=WYQxG4KEzvo) he does go into the details, according to Johnny’s sources. I can’t stand Elon as well, but I’m no longer sure if he’s just an investor.
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?
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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. 😉
European here. Is this actually true that waffle houses can get violent? If so, is there any explanation? I like waffles and never associated them with violence. Never been to a waffle house, though.
Funny video (at least for me) that explains why it is not so simply to react to bear attacks: https://m.youtube.com/watch?v=Se44YdrjZzU
Can it be used on a “normal” android phone or just android tv?
My understanding of the whole “being beneficial for humanity” is that:
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.
And I was always taught that capitalism allocates the resources ideally. /s
To add to your excellent comment:
It does not ask if it can copy the art nor does it attribute its generated art with: “this art was inspired by …”
I can understand why creators unhappy with this situation.
I wonder if I’ll see it say “from lemmy” someday?
That’s the spirit!
Aw man, now I want this toaster.
I actually hope for a spaceship full of billionaires on the way to Mars. What possibly could go wrong?
First of all it concentrates power and wealth on the owners of the models (Microsoft, OpenAI) or the ones that provide the tools (Nvidia).
Yes, there is truth in it, that people who couldn’t afford to pay someone to create art, or get consulting, can get this now to a certain extend (if they can afford internet access and pay the AI services they need). But this comes also at the price of lowering the income of the people who provided these services. They now need to compete in the business creation market and not in the market that they trained for. Not everyone can create and maintain a business with or without starting money, just from a skill point of view. Nor does everybody want to.
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.