Comment Re:Huh? (Score 1) 121
If people can buy a new car for not much more than a used one, and it's more efficient and comfortable, they just might.
If people can buy a new car for not much more than a used one, and it's more efficient and comfortable, they just might.
And the answer is none. None more black.
The directive, sent in an internal memo on Tuesday, is focused on applicants for H-1B visas for highly skilled workers, which are frequently used by tech companies, among other sectors. The memo was first reported by Reuters; NPR also obtained a copy.
"If you uncover evidence an applicant was responsible for, or complicit in, censorship or attempted censorship of protected expression in the United States, you should pursue a finding that the applicant is ineligible" for a visa, the memo says. It refers to a policy announced by Secretary of State Marco Rubio in May restricting visas from being issued to "foreign officials and persons who are complicit in censoring Americans."
Was Trump doing global worldwide tariffs of 20-300% on almost all imports of every type his first term? Were those the ones kept?
What happened in 2020 and who was President that year?
Also Trump beaten by Obama yet again. Hell yeah.
Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg
The current "AI" is a predictive engine.
And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)
It looks at something and analyzes what it thinks the result should be.
And that's not AI why?
AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.
It is absolutely crazy that we are all very very soon going to lose access to electricity
Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.
AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.
I especially like their fries and their salad bowls.
That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.
Believe it or not, people in the field are familiar with these sorts of things that you just read about.
The Trump adminstration has released a video of how these vehicles might be used in America:
Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.
Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.
The simple fact is that what enabled LLMs is enabling most of this other stuff too.
Your good nature will bring you unbounded happiness.