Do you mean to say training sets are filtered?

LLMs are becoming a world expert in everything.

I am exploring this exact area of search and analytics for vanilla postgres as replicas. Guess what, the LLM came up with this exact conclusion of using ctids as docids, all by itself. It was surreal for me to read the blog above , when I hit that paragraph about ctids.

I am no postgres internals expert.

>all by itself

Or it’s read countless articles on doing the same thing.

I mean, that goes without saying for LLMs. It is an approximation of human knowledge after all.

In the same way that a google search is .

LLMs are still playing word association - humans have something a little more complex going on where the word has meaning.

Is the middle option asking LLM to generate a classic ML model? Or generate tons of them and pick the best?

Cap the number, sort by salaries (perhaps by coarse domains of skills and not very narrow . Nurses vs Doctors. But s/w engineers are s/w engineers).

Testing abilities is a gamable proxy. How much a company is willing to spend on the person is the best barometer, if we stay true to the intent of the visa (scarce talent)

They cannot yet outmatch humans in critical thinking. Heck, they cannot outmatch a mediocre person like me yet. How many times have we awen "You are right...." Even on sota models?

They are great tools for research and tasks as of now.

I think they can match a human in critical thinking, but they can't match a human in coherence and meta-thinking. You can prompt an LLM to critically think of any idea you want and it's often able to do so, but it's rarely going to do that by itself.

Do you think Flock is in the same category of installing PCs for police departments, when it comes to public impact?

In the short term yes. Long term, no. But I guess you can say the same thing about a team of engineers taking shortcuts

Yep. And the difference is clear as da for anyone using them both. And in spite of that advantage, OAI is now trying out ads. I can only imagine that even they are getting constrained to compute and are trying to find other ways to plug it

Ban non US models and form a cabal, with the blessings of the government. That's what it is looking like, no?

In a world where AI advancement depended only on human ingenuity this would make sense. In that world each political power block would be in an existential race for AI supremacy. In our world compute is the limiting resource. Since the US can control who gets compute, the US already has a defacto supremacy so far as frontier model development. Now if it comes about via human (with AI assist?) ingenuity that compute is no longer a restraint, then the situation is much more dire.

Same can be said about a hundred other things in the world. All the way from knives to nuclear.