munchler
Joined 3,923 karma
- Came here to say the same thing. A general-purpose microservice that handles authentication or sends user notifications would be prohibited by this restriction.
- It’s the blue ones, of course.
- It’s the question of how the wave function collapses during a measurement. What exactly constitutes a “measurement”? Does the collapse happen instantaneously? Is it a real physical phenomenon or a mathematical trick?
- I think that’s highly debatable. For example, dark matter particles with testable properties could be a prediction of a ToE. Or the ToE could resolve the quantum measurement problem (collapse of the wave function) in a testable way.
- If you are suggesting that string theory is somehow more fundamental or powerful than special relativity, and so SR is a mere consequence of ST, that’s a claim that probably requires more explanation or evidence.
- That’s a lowercase “L” vs. uppercase “I” for those of you as confused as I was.
- That’s just piggybacking on a prediction of special relativity itself. If string theory predicted something novel that’s testable, that would be a lot more noteworthy.
- That's good to know, but I would still suggest an on-ramp that only uses GitHub for authentication (i.e. no permissions needed). To that end, it would be nice if I could also authenticate with other OAuth providers instead, like Google, etc.
Again, I understand that this would limit me to scanning public repos, but that would be fine.
- There's an exception for "appliances specifically designed to operate primarily in an environment that is regularly subject to splashing water, water streams or water immersion, and that are intended to be washable or rinseable". This ring is described as water-resistant, so I wonder if it would be allowed?
- I wanted to give this a try, but it immediately asks for authority to "Act on your behalf" on GitHub. That's not something that I'm going to grant to an unfamiliar agent.
It would make a lot more sense to me if you provided a lighter "intro" version, even if that means it can only run on public repos.
- Fine, then imagine a super-intelligence trained on human data that doesn’t care about human preferences. Very capable of destroying us.
- As a photographer, I’ve noticed that no two photos of a given painting ever look the same. There is much variation due to lighting, color temperature, sensor capabilities, etc. Without controlling for these variables, it’s hard to see how comparisons can be made accurately.
- > A model that aces benchmarks but doesn't understand human intent is just less capable. Virtually every task we give an LLM is steeped in human values, culture, and assumptions. Miss those, and you're not maximally useful. And if it's not maximally useful, it's by definition not AGI.
This ignores the risk of an unaligned model. Such a model is perhaps less useful to humans, but could still be extremely capable. Imagine an alien super-intelligence that doesn’t care about human preferences.
- Ah, that’s interesting. I wasn’t aware that JIT-ing will do that sort of performance analysis first. Thank you for the explanation.
- Thank you for the clarification. If I understand correctly, these large expressions are created at compile-time, but the impact isn't felt until JIT occurs in the runtime environment. In that scenario, shouldn't the JIT just run once at startup, though? I'm still not quite understanding how JIT can take so much time in a production environment.
- I’m not familiar with Scala’s macro system, but it seems like a big takeaway here is: Be careful with code that invokes the compiler (JIT) at runtime. That seems like it’s asking for trouble.
- Yes, or the horrible diseases that were common before we understood germs or had safe, effective vaccines. (Sadly, we seem to be backsliding on that one.)
- I think you mean 2002, not 2022.
Plus, it’s just one of the best TV shows ever made in any genre.