So uh… who put the house up for sale? Did the bank foreclose on the house?
So uh… who put the house up for sale? Did the bank foreclose on the house?
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.
Glow-in-the-dark heating elements…
I guess there’s a sense in which all computer science is table lookups, but if you want a nauseatingly technical summary of deep learning—it’s high-dimensional nonlinear regression with all the methodological seatbelts left unfastened.
The only thing this says about us is that philosophical illiteracy is a big problem in the sciences, and that computer science is the most embarrassing field in all STEM. Otherwise, you know, people find beauty in randomness (or in stochasticity, if you prefer) all the time. This is no different.
This is the curation effect: generate lots of chaff, and have humans search for the wheat. Thing is, someone’s already gotten in deep shit for trying to use deep learning for legal filings.
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.
It’s worth paying attention to what the UMKC people say, they’re about the only economists who are actually connected to the real world.
As I recall, the basic differences between employee and contractor are whether the employer can dictate time, place, and manner. The problem for gig “contractors” is that they’re in a much tougher spot on exercising their rights, since not many people who can afford a lawyer deliver food. And they aren’t exactly in short supply, so if Uber oversteps and individual “contractors” try to push back, they’ll just be fired. Which gets back to the lawyer issue.