• 3 Posts
  • 138 Comments
Joined 2 years ago
cake
Cake day: August 11th, 2024

help-circle
  • As for the power/environmental impact, for what they do LLMs are actually very low impact per-request.

    Worth noting that a request is often dozens of requests now that there’s “reasoning,” even for search. As I understand it, a model will take a question , figure out the context (one request), reform the question so it yields better results (another request), if it’s doing a web search there’s requests for each result, another to compare, another to check if it answers the original request, if not it loops and does it all over again. So one request is easily, and often, dozens of requests. This is one way Ai companies can say to investors, “see, look at how much usage has increased.”

    Also, we need to factor in the power to scrape and train each of those models, build the datacenters which is near impossible as these companies are not transparent about it and actively try to obstruct investigations into it. Then there’s the redundancy of all these different companies competing and doing roughly the same thing at the same time, as fast as they can, so it’s orders of magnitude inefficient energy consuming before it gets its first user prompt.

    Comparing it to other assaults on the environment is not only hard to do, but a case of “the worse negates the bad” fallacy.


  • I didn’t say I believe it can do game dev. I just have deeper insight into VFX. From what I’ve heard about games, the industry is also suffering more from factors other than ai, but ai marketers and hypers are happy to take credit for an industry suffering.

    I’ve seen impressive demos for ai animation and modeling, but there’s a wide gulf between creating an impressive demo and replacing artists who can synthesize notes, industry knowledge and techniques, company and project-specific pipelines, workflows, and tools, and output something without visible flaws that, in the case of games, factors in hardware and software limitations. And to do that for less than an already underpaid workforce. As Cory Doctrow says, ai cannot do your job, the ai-salesmen just have to convince your boss it can.

    I think the tools will eventually find-cost effective ways to support production, but I maintain I don’t see it replacing these industries, and saying so is carrying a torch for ai marketers.








  • I disagree. Anyone working in a skilled profession can attest to the number of people who come to them saying that they have this “great idea” for you to work on, for free. It’s never a great idea. Skilled professional have their own great ideas, and that’s often the motivator for acquiring new skills to make those ideas possible.

    Lowering the bar between idea and implementation, in a capitalist, surveillance/attention-based, target-marketed world further incentivizes low-effort, high-engagement practices and likely shrinks the space for high-effort markets.

    Meanwhile the tools “lowering the bar” are rent-only or need hardware that is quickly becoming unaffordable. Silicon Valley’s only play is enshittification. If it actually is successful it’s only a matter of time before they switch from growth mode to profit mode and it’s google search all over again but this time you’re paying a monthly fee. If you want to have an idea of how that works out ask an adobe user-- and those were products that were already profitable. There is no way people are willing to pay the actual cost of ai, it will need to be extracted. The rest is externalities.








  • Not that I know of, unless self-hosting. I’ve gone back to ripping CDs and sometimes buying DRM-free HQ audio. Probably getting my purchases profiled, but at least I can download it and no one else has to know when, what, & how much I’m listening to.

    For easier access I have a Jellyfin server on my home network. I plan to switch to navidrome or similar for a better, dedicated music experience as well as setting up secure access over the internet for me and my friends and family.