You learn a lot of other new things about life and what you really believe in by meeting new people with different ideas or participating in activities you never had an opportunity to previously. There's more to university than you what you get in the lecture hall or library (or the modern equivalent). Probably more so if you don't do it from your parent's basement!
Yes, I totally agree, you have to pick a reasonable length of time for depreciation. Three years is clearly too short for a lot of devices now, although I wouldn't suggest 18 years is appropriate either!
Indeed. I learnt recently that one of our GitLab VM hosts for Linux build runners is is hardware from 2012. The dev team discovered this when a vendor sent us an updated library that dropped SSE4.2 support and required AVX2, causing our smoke tests to fail and thus fail the builds. Why throw away hardware that is still working and performant?
I'll find out in mid January, lol - it's en route on the Ever Acme, with a transfer at Rotterdam.
That said, I have no reason to think that it won't be. Yasin isn't a well known brand, but a lot of other brands (for example Hatchbox) often use white-label Yasin as their own. And everything I've seen about their op looks quite professional.
The baseline profile of MPEG-5 Essential Video Coding (EVC) (ISO/IEC 23094-1) is supposed to be the modern MPEG codec that only uses tools made public 20 years ago or have been declared royalty free. It hasn't really gathered traction though either because there's not enough incentive for the stakeholders or because nobody wants to invest in adding another codec to their pipeline that doesn't improve enough beyond HEVC.
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
I've done my first test of buying a whole pallet of filament straight from a Chinese manufacturer. It's a risk - it could be all junk - but if it's usable, the price advantage is insane. Like $3/kg for PETG at the factory gate (like $5/kg after sea freight and our 24% VAT). Versus local stores which sell for like $30/kg.
President Donald Trump says he's moving to legalize Japan's beloved kei cars — the tiny, boxy, almost toy-like vans, trucks, and coupes that have a cult following overseas. And he wants US automakers to start building them here.
This makes a lot of sense in urban settings, especially when electrified. Hopefully these are restricted from highway system.
Not regardless of any size. An old XDCAM will produce MPEG-2 streams that look better than anything streaming from Amazon Video.
The recent stories of laptops having their decoders removed because of patent frees are infuriating.
Maybe you're referring to this story:
https://arstechnica.com/gadget...
It says:
Per a breakdown from patent pool administration VIA Licensing Alliance, royalty rates for HEVC for over 100,001 units are increasing from $0.20 each to $0.24 each in the United States
It's such a small percentage of the price yet some bean counter has decided to make user experience shit. Moral of the story for me is to not buy the cheapest shit on the market.
The road to ruin is always in good repair, and the travellers pay the expense of it. -- Josh Billings
