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Joined 3 years ago
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Cake day: June 11th, 2023

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  • The costs have ballooned too much. When seasons were 18 episodes and it costs $100k per episode, it made sense to serialize. Often they were written as they were filmed. Now every episode costs $10 million and preproduction takes a year before the first scene can be filmed with massive post production. No one has really cracked the formula for making TV formats work well on streaming services. The all at once for binge watching only works if you already have a massive archive of shows to expose. The one episode a week for short boutique series that run a season every 3 years is not working well either.




  • Funny enough I had to rollback, since it doesn’t start in the latest version in my setup. I have to make a conscious effort to keep it one or two subversions behind. It is not the first time an upgrade breaks my install. It will probably be a whole thing when I decide to actually upgrade it again.



  • That’s a lot of words just to reiterate what OC said. None of your examples disagree with the fact that these companies are using AI for a ton of stuff they’re not good at. And the stuff it is good at are not bottlenecks. If you removed LLMs from the face of the planet today, code quality will not suffer significantly. Sure, doing code review en masse is good. But that is not what was holding back computer programming. It’s existence is not progressing software in any significant way either. It’s a nice to have, not a must have. Code was fine for four decades without LLMs. Indeed it makes me wonder, if a machine learning model was purpose made to do code review, instead of general purpose LLMs doing it, how much better it could be, if we actually leveraged what they’re good at.




  • They loved it too much and now it costs more than paying a living wage to a human being. The end goal of AI was always to cut cost and layoff people. The best sabotage right now is to setup a script that constantly prompts an LLM for something useless. I would recommend it if it didn’t waste so much energy and clean water. But it would send a message. AI is not cheaper, it never was. Even with today’s outrageous token prices, LLM companies are still bleeding money per user. It will only get more expensive as data center contracts fall through and the investment craze fizzles out.






  • “If you pirate games, you’re part of the problem.”

    Scalpers exists because Valve’s supply chains is weak and their commerce channel is poor. If you can buy from a scalper and get the machine on launch day, or pay Valve and get it in 9 months, then the value proposition is clear and obvious. I won’t defend scalpers, just like I won’t defend scene pirates like FitGirl. I’m sure most of them are scammers, but scalping is a service problem as well. People are paying for convenience and access*. Similarly to stuff like ticket scalping, they are all scumbags, but they exist as a failure of marketing, not because of the moral failure of the buyers. They are just using their only means of access and convenience left, once the real seller abandoned them as customers.

    EDIT: I know a lot of people will downvote due to the piracy comparison. But remember that Valve ships hardware to only 10% of the world. Specifically the global North and the westernized world. Everyone else can’t even get to the lottery. On the other hand, there’s no problem for most of the planet on acquiring any current console or pre-build PC. While at the same time they have publicly said they have issues acquiring their necessary OEM parts to manufacture their hardware. Valve has a supply chain problem, and scalpers are abusing that. These scalpers are not artificially creating scarcity by buying all existing stock to charge higher prices, they are abusing the already existing scarcity and extremely high demand. Scalping is a service problem, get to terms with that.

    *: even if they are rich fucks with FOMO and more money than sense. They are still buying convenience that Valve can’t offer right now.