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Cake day: June 13th, 2023

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  • He’s a bit vague on the details, but I believe he’s using a laser:

    To create a more realistic model of quantum dynamics, I employ a physical generator of random numbers based on coherent quantum-optical processes (the emission of coherent light can be associated with the effect of QT). Unlike a pseudo-random generator, a quantum generator produces truly random numbers.









  • At the time, it was assumed that genes and traits had a mostly one-to-one correspondence. Thanks to the human genome project we now know that it’s more often a many-to-many correspondence, which makes figuring out the relationships enormously more complex. But mapping the genome was still a critical step.

    Edit: The analogous situation in neurology would be the correspondence between brain regions and cognitive functions—in the last decade or two we’ve found out that most functions involve many separate brain regions networked together in different patterns for different functions. Mapping this “connectome” is the equivalent of mapping the genome—but this Harvard/Google neuron-mapping project is at a much lower level, more akin to studying the physical structure of chromosomes.





  • Humans instinctively do something analogous with natural language, using poetic forms like rhyme, meter, and alliteration. (For example, the speeches from Shakespeare’s plays are immediately detectable because they’re in iambic pentameter.)

    Imagine you lacked the natural human ability to detect verse, making poetry indistinguishable from prose. As far as you could tell, it would be like an invisible watermark that only specialists could detect. LLMs can use a similar approach, making up their own patterns that are opaque to humans but detectable to themselves.