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Cake day: February 10th, 2025

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  • Good info.

    There’s also a lot of tweaking that can be done. Things like changing the scheduler can have a huge difference on things like smooth skin, some schedulers focus on low frequency details (like large objects in the image) and less on high frequency details (like skin texture).

    If you want studio quality upscaling while coming from a low res image, you’ll really want to have a person looking at every frame and tweaking settings and cleaning up manually with photoshop. This seems like the kind of thing some dedicated nerd will do eventually, assuming the IP owner doesn’t do it first.

















  • iPhone notification summaries were made with GPT3.5 I believe (maybe even the -turbo version).

    It doesn’t use reasoning and so when using very short outputs it can produce wild variations since there are not a lot of previous tokens in order to direct the LLM into the appropriate direction in kv-space and so you’re more at the whims of temperature setting (randomly selecting the next token from a SOFTMAX’d list which was output from the LLM).

    You can take those same messages and plug them into a good model and get much higher quality results. But good models are expensive and Apple is, for some reason, going for the budget option.


  • Anyone learning a new language massively benefits from being able to speak with native speakers.

    That being said, LLMs are better at languages and translation tasks than any pretty much anything else. If you need vocabulary help or have difficulty with grammar they’re incredibly helpful (vs Googling and hoping someone had the same issue and posted about it on Reddit).

    I mean, if you can afford a native speaker tutor that is the superior choice. But, for the average person, an LLM is a massive improvement over trying to learn via YouTube or apps.