Comment Re:Do we really need (Score 1) 50
The same is true of pretty much any animal.
Yes, including humans. But ostriches are likely to attack everyone.
The same is true of pretty much any animal.
Yes, including humans. But ostriches are likely to attack everyone.
Over 8 billion people have an IQ under 100%.
98% of traffic problems on highway 17 are caused by dipshits who should never be allowed to use the left lane. 1% are caused by that one dip in the fast lane on the EB side that they don't seem to be able to fix ever. The remaining 1% are caused at the first exit on the inland side when it's busy.
Before Teslas even existed I was passing the clowns who don't know what a passing lane is for on the right on the 17. The only meaningful difference between then and now is that there's more drivers, including more of those clowns. Well, that and that the speed limit used to be 65, so more competent drivers could make it over the kill. Of course, it was killing incompetents, so they reduced the limit and we all have to suffer. This is what happens when you design your nation around the car.
Ostriches aren't really domesticated, just in captivity. They are not your friend. Even people who keep them have to take precautions because sometimes they flip their shit and attack, and they can kill you.
This "ambitious partnership" sounds like pandering bollocks. The entire press release is written like this.
You don't seem to understand the purpose of a press release.
Nah, there's some for-pay ones. I want all that AND I want it to be free too
The paper releases dust and fibers, which is why the correct tool is a foam swab.
That too has to be correct, though, or it will release dust. This is especially true if it is aged, so the foam swabs have to be fresh.
IPA is the correct solvent.
How much Intel stock do you have? Is it actually legal for you to mod me down?
That's not how LLMs work. They can only extrude what's in their training data
There are a whole bunch of examples of LLMs which have access to actual resources, so that's completely false. Why don't you go somewhere else and talk about things you know nothing about?
What gets me is that if the data were actually used in a meaningful way, it could be revolutionary for people. If companies actually correlated things like sleep patterns along with habits, places visited, speech patterns, and socialization during the day, it really could change peoples lives and make for a deeper understanding to help people with their health, habits, social welfare, any number of things.
You could have an AI assistant that provides people for coaching needed to lose weight or to exercise or to stop smoking, etc.
The problem is these companies are too bureaucratic and too penny-pinching and beige to actually do any good or try something interesting and different.
I agree with you, giving a company all this information is terrible. Their stupid, expensive ventures are going to flop as long as they keep doing stupid things with the data, though.
Like a junkie they will keep hovering up electricity and data until they implode.
Wouldnâ(TM)t it be smarter to let them stay home and buy into all these outstanding artificial values that Amazon has for prime day?
XML is far more readable than JSON. It does also suck, though.
I haven't had to do much with YAML, but I cannot imagine what you mean by "easier to transmit", given their similarity.
Why are we so predisposed to falling for this hype cycle?
The people without hope gave up and died.
The people with too much hope are suckers.
The people with just enough hope to succeed but not enough to be suckers took control of the system and manipulated it in ways that make people into suckers, and make suckers into bigger suckers.
If Musk cared, it was because he was worried about his speech being censored. His own actions prove that he's not anti-censorship in the least, as long as he's the one doing the censoring.
Here is where the honesty test kicks-in
At the point where you provide an amicus curiae brief as if it were a court decision?
Disraeli was pretty close: actually, there are Lies, Damn lies, Statistics, Benchmarks, and Delivery dates.