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Cake day: June 13th, 2023

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  • Fun question, but it leads to other questions…

    First, are vampires stopped at the property line, or only at the threshold of some appurtenance (e.g., a house)? After all, you’re asking about real estate, and real estate is primarily concerned with land, not buildings.

    This sort of matters because, are we assuming that vampire law is coincident with human law? By this I mean, if vampires were to take control of the government and abolish real estate law, would they then be able to enter any property or building, anywhere, anytime?

    If vampires do observe human law, then realistically, they probably wouldn’t be able to enter a leasehold without the tenant’s permission. The fundamental right of tenancy is peaceful enjoyment, and in fact tenancy is a legal property right, to access the property in question and do anything, without undue burden, allowed under the terms of the lease. It would be a violation of peaceful enjoyment for a landlord to allow vampires into the unit.

    The right of inspection, by the way, is explicitly carved out in real estate law. The right to let vampires into the unit is, to my knowledge, not enumerated.





  • I guess the important thing to understand about spurious output (what gets called “hallucinations”) is that it’s neither a bug nor a feature, it’s just the nature of the program. Deep learning language models are just probabilities of co-occurrence of words; there’s no meaning in that. Deep learning can’t be said to generate “true” or “false” information, or rather, it can’t be meaningfully said to generate information at all.

    So then people say that deep learning is helping out in this or that industry. I can tell you that it’s pretty useless in my industry, though people are trying. Knowing a lot about the algorithms behind deep learning, and also knowing how fucking gullible people are, I assume that—if someone tells me deep learning has ended up being useful in some field, they’re either buying the hype or witnessing an odd series of coincidences.