25 karma · joined August 3, 2022
I bet that what you describe could be implemented with stashes and scripts run on hooks, but that feels like fighting the tool too much. There's probably something we're missing?
Humans aren't capable of doing this, but still make useful drug discoveries. AI can be empowered to conduct research in the real world, it doesn't need to simulate everything.
It's like saying you have an "empty cup of water".
Look up Coq, Agda, Lean, and Idris. I would start with Coq, it's the most used. Idris is more like Haskell and programmer-oriented.
Edit: Nevermind, apparently they were just talking about Haskell...
If the average assignment grades are very high the professor will be inclined to make the assignments more challenging. Cheating disrupts the professor's ability to accurately determine how well their students are grasping the material and adjust accordingly.
For whom is that a goal? Are there really that many individuals at the intersection of "I need to use a theorem prover" and "I don't have formal mathematical training"?
The White House has a Twitter account, for example. So there are presumably federal employees with Twitter installed on their work phones for the purpose of operating that account.
Moreover, Microsoft and Apple can do essentially anything they want to. They have an unassailable stranglehold on the desktop OS market.
You are saying "If we know how something works, we can explain how it works using math."
But we know almost nothing about how the brain works.
> The physics that gives rise to the brain is pretty much known.
...no it is not! No physicist would describe any physical phenomenon as being "pretty much known". Let alone cognition. We don't even have a complete atomic model.
The halting problem by definition takes an arbitrary program and input. Restrict either parameter and it is no longer "the halting problem". They define it this way in the article:
> The halting problem takes two inputs:
> an arbitrary program P
> P's input D
>The decision problem is: does P halt on input D?
That some programs can be easily shown to halt given certain inputs is also discussed in the article.
...until I got my 3060. At a certain point it just makes more sense to buy your own card.
I think it's obvious that the output of these AIs can be considered art. There is human input at multiple levels - the code, the artists whose works it was trained on, the researchers that scraped/pruned the training set, and ultimately the crafting of prompts by users to achieve a desired output.
What is not obvious is: among those human inputs, which are actually responsible for imparting artistic value on the resultant image, and in what proportion.