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Joined 3 years ago
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Cake day: June 14th, 2023

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  • It sort of starts with what is “canceled” to you. Do you mean never work in the industry again? Lose all fans? Face legal repercussions? Someone like Louis CK had a reckoning during me too. It wasn’t enough to face legal charges, but he stopped for a bit and lost some fans, but not all and came back after a couple years. For some that was enough, while others were pissed he still had a platform at all.

    It also depends on the type of celebrity or artist. Some have very little barriers to entry to get their stuff out there. A YouTuber just needs to be able to post a video where bands or live performers can have venues cancel on them. Even if YouTube steps in, someone like Alex Jones can move to another site and keep making content for his fans.

    I see canceling as a means of spreading awareness to others that a celebrity had done something wrong and isn’t worth spending time or money on. It is often a stop gap when our legal systems don’t have means to right a wrong. If a celebrity did something morally wrong but legally gray they shouldn’t get off scot free


  • That is interesting that the all in one approach had better results.

    To your question, I still don’t have a solid use case to justify the fuss and energy consumption. I see it is a novel way to interact with your computer. I like the idea of an assistant I could talk to, but the surveillance piece is too creepy to get over using regularly. I’ve had ideas for specific tasks like 3D modeling and origami, but I’d like to know which models are good at that first. The only real uses I’ve encountered are trip planning or translation, but for the 2nd one I’d go to Google translate directly before Gemini. My question is mostly that I see the fuss and I don’t get the approach the industries seem to be taking.



  • Thanks, I think this is what I’m getting at. Is there an inherent advantage to all in one over modular? And it sounds like they’re is. I know over constraining is an issue with training and there is no scenario with ML or LLM where you get to 100% accuracy. It’s just not the point of the technology. But I could focus on getting an image editing tool 95-99% of the way there and test that vs. having that functionality bundled up with everything else and potentially have that function suffer as we improve another area. If a bigger transformer is benefiting from the other areas of expertise, that is interesting. I still believe you have to hit a point of diminishing returns where more bigger no longer equals more better