Even so the prices are excessive. If I want to upgrade the SSD in the current MBP from 512 GB to 2 TB that's +750 â
Meanwhile, a Western Digital Red SN700 with 2 TB I can get for a bit over 200 â.
A Samsung 990 PRO 2 - 245 â (was just rated the best M.2 SSD on the market by Tom's Hardware).
Whatever exact chips Apple is using, they're not 3x as expensive as other high-quality SSDs.
Even if "locked in place" is your underlying assumption, anyone who's even heard of the real world from their mom who has a friend whose father once visited it should know that there is no rule without exceptions and even if that is perfectly true, a small number of those particles will not be locked in perfectly.
To crash the OS out wound need to be in the kennel, so do a quick test if that RAM using something like MARCH C.
Given that Linehan had spent months harassing her on Twitter, to which she didn't respond, and she was a child at the time... I can't see any justification.
Hmm, two decades ago perhaps. We must be getting old because it doesn't seem like that long ago.
It's more like "dictionary entry of the year". Some things where the two words have to be used together for a specific meaning have dictionary entries, such as speed bump, for example.
Then everyone will start using it as an excuse to attack other people. Especially the cops - they hate being filmed. They will claim it was "aggressive" and justified violence.
A guy called Graham Linehan was just convicted of smashing a girl's phone, when she filled an interaction where she asked him why he called her a "groomer" on twitter, and worse. It was the right judgement, he had no need to do it, and mere annoyance can't be enough or everyone will be smashing stuff they dislike.
If there were better APIs they could do that. An API for sensors, with a maximum safe limit supplied for each one. When a BSOD happens, it could do a little memory test on the affected area.
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.
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
Neutrinos are into physicists.
