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Cake day: June 12th, 2023

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  • Depending on the context, it could just be who’s doing it. Star Wars was originally specifically an allegory for the Vietnam War, which was a war of Western imperialism because the two countries making it a war rather than a country gaining its independence were France (who’d conquered Vietnam as part of their empire and weren’t happy that the Vietnamese didn’t want to be in their empire) and the US (who wanted to stop communists gaining power anywhere), both of which are Western countries. It was about that war in particular rather than imperialism in general because that war in particular was the one that was a big deal for the target audience at the time - if Lucas had been Japanese and making the film decades earlier, maybe he’d have made it an allegory for something else, but he wasn’t, so he made the film he made.




  • If we’re going to pull up other people’s pithy phrases that aren’t intended to be taken entirely literally, then the relevant one here is machine learning is the second best solution to any problem. In the (approximately, depending on how you define it) century people have been thinking about computers, we’ve already found better solutions to lots of problems. If a transformer-based neural network can get 99% accuracy in sixty seconds on 92 billion transistors of GPU and billions more for its VRAM, that’s pretty useless if we can also do it with 100% accuracy in sixty microseconds on a $1 microcontroller, or even faster on a less constrained device.

    The attention is all you need phrase is specifically in the context of sequence transduction models, and specifically referring to the discovery that they don’t need a combination of attention, recurrence and convolution, but actually only need attention if it’s used in the novel way introduced by the paper. If you don’t need to transduce any sequences, then this isn’t necessarily relevant, and it’s critically not a claim that you can do everything by transducing sequences. It was a surprise that applying it to generating new text instead of just converting it worked as well as it did, and a surprise that it kept getting better with larger models instead of plateauing around the GPT-1 and GPT-2 era, and a surprise that the text generation could be used to do other things, even ones as basic as addition. These things weren’t predicted by the Attention Is All You Need paper.


  • It’s not damn near anything. There’s loads of stuff that computers can do much more quickly and more accurately without it just by virtue of computers already being fast and effective at maths and obeying logic. With or without the transformer architecture, a neural network is never going to be as fast or reliable at, for example, summing a collection of numbers as just adding them would be, and loads of real-world tasks are like this, hence why we’ve built billions of computers even before the transformer architecture was invented.

    Also, in particular, I didn’t say that the transformer architecture wasn’t useful for things that aren’t LLMs, I said that most of the work done specifically to improve LLMs has no applications outside LLMs, so the next big leap towards making computers intelligent isn’t helped more by working on LLMs than it would be by working on any other kind of AI.


  • It’s actually just a lot of pretty simple maths from decades ago, but it’s a lot of it. The big changes in those decades have been the feasibility of doing enough of that simple maths to achieve anything useful, and domain-specific network architecture stuff that’s rarely transferable, e.g. LLMs are possible because of the invention of the transformer architecture in 2017, and that’s also turned out to be useful for a few things like image generation and protein folding simulation, but not for all neural network based techniques, and then most of the things that have made successive LLMs better haven’t also been useful for the few other transformer-architecture-based neural networks. Most not-LLM AI isn’t going to be meaningfully easier to create than it would have been had the world got bored after GPT-2 and we’d only focussed on doing image and video generation.


  • It’s a fairly common sentiment that ‘good billionaires’ like Newell will demonstrate that seeking profit by making things people want to buy is more profitable than ruining things people were already buying so margins are higher, thereby making the bad billionaires want to copy them, and then capitalism will start working for the common people, and that therefore seizing the means of production is unnecessary as long as they praise gaben. Pointing out that he’s still accumulating the value of other people’s labour as quickly as he can and he’s just less short-sighted about it, rather than aiming to do good, can be helpful.


  • Fun fact: if you’re self employed in the UK, you’ve been able to do your taxes online via a simple (ish) form on the HMRC website, but they’re in the process of phasing it out in favour of third-party proprietary software, so some people aren’t allowed to use the free web form anymore, and within two or three years, it’ll become totally unavailable. Everyone always loves it when the government finds things that Americans complain about and copies it here so we get to complain about it, too.


  • Lots of shops have gone out of business because, by having a premises, their operating expenses were more than an online retailer, so places like Amazon could undercut them, and their customers were willing to wait for delivery to save some money. It doesn’t take that many customers leaving before you’ve got to put up prices to cover your overheads, and that just makes more customers leave, and after a couple of decades of online retail being common, you’re left with far fewer physical shops.








  • That’s a proprietary software problem rather than a being connected to the internet problem. One of the send-a-notification-when-it’s-done devices I set up took about as much effort as setting the right time on a phone alarm about ten times because the device’s firmware was open source with no companies’ bullshit involved, so all I had to do was navigate to the right page in Home Assistant and pick the right phone from a dropdown and the right even for the notification to trigger on from a dropdown. That’s not wildly different from picking the right time from a dropdown on a phone.


  • AnyOldName3@lemmy.worldtoLemmy Shitpost@lemmy.worldFuture
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    3 months ago

    Again, that’s specific to it being proprietary software. I’ve got some devices in my home that are connected to the local network (but not the internet), and have configured Home Assistant (which I’ve got running on an old desktop PC) to send a notification to my phone when it detects that those devices report that they’re finished with what they do. That’ll keep working until I turn off the Home Assistant server or replace the devices.