The imprisonment and lack of freedom is the punishment. The prison itself doesn't need to be actively unpleasant - the whole point is you cannot leave.

I should start a blog under the name of Zid Edtron where I write with the most ridiculous pomp, taking the exact opposite stance. Maybe I’ll even get to go on TV.

Biology is much harder than math for humans as well!

I don't think that's a given - not sure how you'd even quantify that comparison.

My argument is mostly about the complexity and the immensely intricate physicality of biology.

We can barely inspect much of it, let alone fully understand it.

I think you could make a corresponding argument about the unbounded complexities of an abstract domain like mathematics. Math also has a notorious reputation for difficulty. We don't even have a way to know how much there is to know about math.

I'm not sure I see one is clearly more difficult than the other.

Given enough time, I think anyone with a proclivity towards math could derive the quadratic formula from first principles. I don't think there's anything in biology that can really be derived in that way. You'd have to start from the physics of chemistry or something. In which case you'd need quantum mechanics and... math!

Shooting from the hip: Embodiment is simply a highly sophisticated harness.

Maybe we can also replace the customers with agentic consumers.

> The forceful executive, Henry Ford II, and the leader of the automobile workers union, Walter Reuther, both saw many examples of advanced machinery operating at the plant. The words they exchanged brilliantly encapsulated the paradox of automation:

> Henry Ford II: Walter, how are you going to get those robots to pay your union dues?

> Walter Reuther: Henry, how are you going to get them to buy your cars?

https://quoteinvestigator.com/2011/11/16/robots-buy-cars/

If AI takes over the job market, they’ll have to. There won’t be enough humans with income to pay for things. The machines can crank out exponentially more code each day and maybe us silly humans can find something else to do with our time.

How do you know articles like this are ineffective?

I know people in my life who have discomfort about their jobs at Meta because of how other people view the company. One of them is planning to leave in the next year or so.

The impact may be hard to measure or rather diffuse, but in my experience, it is real.

The cache shouldn't affect inference. It is purely an I/O optimization.

I think it should, as you dont need to use the encoder layer on the new tokens, you just read the embedding from the cache. that's why cache reads are cheaper

I meant, it shouldn't affect the resulting LLM output. It's a performance optimization that doesn't change the behavior.

AI can’t write for shit because it doesn’t have your experience for context and it doesn’t know what you actually want to say.

Hell, most people barely have a rough idea of what they are trying to say when they sit down to write, and they have all of the context.

Writing and coding do have many similarities, at a high level. But the things that make AI good at coding don’t really apply to writing. The analogy doesn’t work well here.

Welcome to the internet :)