Three wheeled vehicles are bad. Even if they make good the vehicle will be crap. It will also be a deathtrap on US roads with a bunch of completely incompetent idiots driving three ton trucks and SUVs.
Not sure. Just when you think you've found it the line slants up again. But humans have limits and Donald Trump is old. His hey day seems to have been in the 80s and 90s. Now he's slowed down and is taking more naps, plus a bunch of his old friends have died or gone to live in group housing. I suppose you could argue that he's taking dirty old man to new heights in his mind.
You contradict yourself. A product that isn't easy to use or setup in one or two clicks fails in the market. Hence cloud.
Ah, you have a personal definition of "necessity." I'm sure what follows is going to be good.
Enshitification and dumbing down of everything is done because quite frankly most people are frigging useless when it comes to technology.
the more rope you gave idiots
Most products are unfortunately designed for the commoner, not the techie in mind.
Etc.
I always find it quite ironic when "the techies" on here complain about how it's impossible to change the battery in a phone and bitch about problems that can be solved with an ESP32 and a bit of solder (like the one in this story). Guess there are multiple levels of "frigging useless when it comes to technology."
VPNs are pretty hard when you don't know the name or address to connect to.
This time seems to be post-Discovery acquisition pain, and they're going to be selling off a bunch of stuff before they let Netflix acquire the rest. I wouldn't be surprised if it happens to a few more media companies too. They've all been spending money like mad to try and buy streaming customers and also make something they want to watch.
Bullshit. Selling property is selling property. You seem to be distracted by the idea that a corporation is anything other than a group of co-owners. I'm not saying sometimes rights need to be restricted for the common good. They always do. But come out and say it, don't weasel around it with but but corp....
For all their "losses" they were also able to pay down their debt in 2024 with $4.4B in cash flow
WB lost more than $11 billion in 2024, although their debt did go down from $70 billion to a mere $46 billion.
The amount of Trump dick sucking surprises me, too. It certainly felt more intelligent 20 years ago.
Speaking of Trump dick sucking, did you figure out yet if he sucked off a CEO, a president, or a horse yet?
He's just being a typical American MORE BIGGER FASTER tool. I drive an 08 Versa with a 1.8l with 122hp and I have absolutely no problem being one of the fastest people on the road, because even a slow ass car by modern standards can do all the things. I never have trouble getting up to speed on a ramp or whatever.
Putin is so smart he outsourced his destroy America plan to Trump
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.
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.
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.
Jevons Intensifies
A conclusion is simply the place where someone got tired of thinking.
