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Joined 3 years ago
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Cake day: June 13th, 2023

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  • Just to throw in another option: A blender, nuts, barista oat milk (it’s sweeter and less oaty), some fresh fruit or frozen berries, and some kale.

    Takes about 3 minutes, you can experiment with different fruit and nut combinations, and some fresh kale means you’re getting some greens.

    My go to is a big handful of peanuts, half a handful each of walnuts and hazelnuts, a cup or two of frozen raspberries, 2 or 3 leaves of green curly kale, a scoop of creatine, and enough oat milk for it to give it a good consistency - usually makes about a litre.


  • It wasn’t for us, though. I speak EU Spanish and I didn’t gets lot of it, nor understand all the symbolism, but the celebration of the language and culture seems self evident.

    I didn’t get all the symbolism in the Chinese Olympic opening performance, or countless other cultural performances, but I don’t see it as necessary to understand 100% to be able to appreciate the expression.

    I don’t particularly care for Bad Bunny’s music, but the show felt to me like a powerful expression of cultural validity on a huge stage in a country where people are facing state violence for looking like they belong to that culture.

    From what I’ve seen shared online from members of that latino/a community, they feel like it was incredibly powerful for them to see genuine representation at that level. To me that is more important than whether or not I personally understood all the language or symbolism.




  • I’ve previously argued that current gen “AI” built on transformers are just fancy predictive type, but as I’ve watched the models continue to grow in complexity it does seem like something emergent that could be described as a type of intelligence is happening.

    These current transformer models don’t possess any concept of truth and, as far as I understand it, that is fundamental to their nature. That makes their application severely more limited than the hype train suggests, but that shouldn’t undermine quite how incredible they are at what they can do. A big enough statistical graph holds an unimaginably complex conceptual space.

    They feel like a dream state intelligence - a freewheeling conceptual synthesis, where locally the concepts are consistent, while globally rules and logic are as flexible as they need to be to make everything make sense.

    Some of the latest image and video transformers, in particular, are just mind blowing in a way that I think either deserves to be credited with a level of intelligence, or should make us question more deeply what we means by intelligence.

    I find dreams to be a fascinating place. It often excites people to thing that animals also dream, and I find it as exciting that code running on silicon might be starting to share some of that nature of free association conceptual generation.

    Are we near AGI? Maybe. I don’t think that a transformer model is about to spring into awareness, but maybe we’re only a few breakthroughs away from a technology which will pull all these pieces off specific domain AI together into a working general intelligence.