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Cake day: June 4th, 2025

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  • Arguably fighting against Japan and Germany in WW2 is one of the only times the US used their military in a justifiable way. Fascism had to be stopped.

    The Japanese military expected to lose 20 million people in the very first battle of the invasion, and the Americans were considering using poison gas because the casualties of fighting it out in the streets would have been in the millions of troops. People don’t realize how dark it was in 1945, food shipments had all but ceased, Japan was entering a famine; if the war had dragged on through a land invasion it would have been cataclysmic.




  • I understand you feel very strongly about four digit years, but I really don’t see any situation that I couldn’t sort out with a simple script.

    Usually I don’t put dates in file names in the first place, but when I do I use the UTC timestamp; a date without a timezone is inherently fuzzy, and it’s easier to compare and differentiate numerical times.

    If someone used two digit years in their naming convention I wouldn’t even blink, let alone get the woodchipper, life is too short to get angry over stuff like that.










  • I think this idea misses the fundamental way that the transformer works on neural networks. The output can be useful, but the mechanism of arriving there is more about probability than creativity.

    An LLM cannot create true art because it cannot experience feelings, it has no continuity of being. It can only replicate the artistic patterns it was trained on; those patterns can come from true art, and can be combined in unique ways, but the only real art is in the writing of the prompt and the data it was trained on.

    It’s like how the patterns of a kaleidoscope can make beautiful images, but all the creativity is in it’s construction and how it’s used.

    We could conceivably extend the transformer model to include other aspects of thought, possibly even a consciousness capable of artistic expression, but it will take a lot of new work, it’s not a place we can arrive by simply adding more power or additional training to our current models.

    Almost all the algorithms used by modern AI were written decades ago, it’s only usable now because compute power has made such huge gains. It will likely take many decades more to create true artificial consciousness.