joshpicky

Hard disagree that julai perfected arrays. I love Julia but even compared with old with old “array programming lenguaje” like APL not even mentioning newer ones like BQN. Julia array still seem a less expressive than one might hope.

There’s also an under explored area of compile time Shape checking, that might open up a new era in array. There has been interesting advancements in the Rust space like https://github.com/JErnestoMtz/rapl or https://github.com/chelsea0x3b/dfdx

Hard disagree that julai perfected arrays. I love Julia but even compared with old with old “array programming lenguaje” like APL not even mentioning newer ones like BQN. Julia array still seem a less expressive than one might hope.

There’s also an under explored area of compile time Shape Type checking which there has been interesting advancements in the Rust space like https://github.com/JErnestoMtz/rapl

My question with this is about intent. If asm programming really becomes a lost art for humans. The question then becomes who will impart the intent or mission to LLMS to connect this ideas.

Remains me of an interesting article I read a month ago. About how LLMs can be “anti-meme generators” as in Memetics.

https://www.jernesto.com/articles/anti_meme_explosion

Laterally the most valuable stream of data in the history. Not only you can profile people extremely accurately if you had let’s say all their ChatGPT sessions and a way to manipulate future responses, if you wanted to suppress an idea this will also probably be the best way to block it even before it even forms.

Used to think user sessions where too LLM driven for they to be useful in RL. But recent Navier Stokes drama makes me think given enough data and user profiling they should be able to extract the intuition out of users. And probably they are doing it at scale

I think this is a very common sentiment among a lot of people, including me.

And also that’s why AI tools create mix reactions. A couple of months ago a post went viral which was really insightful on what I was originally drawn to cs.

https://news.ycombinator.com/item?id=46881264

I think that was the starting point of author. Similar to “meme” the term is too broad on purpose, so you come up with different possible ideas depending where you started from

Agree that’s kind of the hard part of trying to categorize them.

Spatial and temporal locality can be a thing. And depending on how you take them into account they can be more or less clear categories

The book is better conceptually than history wise.

Interesting your type 4 final stage nihilism, not sure if it will consider a type 4 given that it only self destructive.

Not impossible if Claude is the main contributor, almost all repos I see now now has it in the top 3

I read the author’s previous blog. I feel like I had a similar path regarding my thoughts in AI, and came to a similar realization but never quite put it words.

The "Year of the Linux Desktop" has always been a meme, but posts like this show we’ve hit a silent inflection point. When a long-time macOS power user finds the transition "uneventful" (save for some shortcut muscle memory), it says a lot about the polish of modern Fedora.

I generally feel the same. But in addition, I also enjoy the pure act of coding. At least for me that’s another big part why I feel left behind with all this Agent stuff.

As I see it learning “on-demand” is good enough for most programming tasks. But I agree with the blog post tat the situations you mentioned where a person can actually learn new theory and perhaps push the boundaries are increasingly rarer.

Agreed, but the terminology doesn’t seems to be the point. It makes some decent arguments about “on-demand” learning not being great for learning theoretical things.