I also love the visualizations but I'm getting heavy LLM vibes from the prose:
> One setting drives this,...
> The cost is now about the rows you actually touch, not rounds times table size.
Etc.
I get the brain scramblies [1] from trying to parse this writing style at work so I hate to see it elsewhere. Apologies if I'm wrong. But if I'm not then OP don't use an LLM to write for you. It's hazardous to your reader's health [2].
My manager was previously whining about something similar when it comes to generated reports and I just pulled down all of his writing and made the LLM write in his style, he is really content now. Do the same using your own writing and you wont have to be offended
Imagine invalidating facts just because the doc "maybe" was written by an AI. I agree with the hysteria. The good news is this hysteria will be over in the next years nobody will care.
Where were the facts invalidated? Why can't a reader despise a writing style that LLMs converge towards?
I think you're right on your last point, btw, nobody will care and we'll be the poorer for it. Just like how McDonald's and Walmart have driven out and undercut localized taste and culture in the US, so it shall be with writing of all kinds. It's happening right now and readers are getting used to reading the intellectual equivalent of a Big Mac.
It's not even a matter of despising or liking the style, it's a matter of actually being able to interpret it and makes sense of it in a useful way. Even Claude sometimes gets confused by the dense metaphor-heavy obtuse Claude style.
True, but I don't know. I'm not going to gatekeep the transmission of information (how could anyone?) but there's a certain level of ennui here for me and the easiest tell comes from the writing style. I still think there would be something lost in "claude write me a blog, don't use load-bearing".
We invented algorithms and machines that ostensibly understand and interpret our words and can make things happen, which is a revolution of understanding. From a legibility perspective, these machines now can "understand" me just as well as if I were writing like Gene Wolfe, yet instead of embracing the idea of "wow I can talk to a computer" we have an overweight on "wow, I can have computer talk to everyone else on my behalf!".
Even if the transmission of information here was perfect I'd still question the utility of outsourcing your brain on writing a very short article compiled from release notes.
Great visualization. Side note their new c++ extension api is also gonna be faster from the perspective of development / distribution of those extensions
Totally valid technique in my opinion. Even with last year's technology, LLMs were really good at synthesis of small details, which, combined with their encyclopedic knowledge of everything ever written down about computers and programming, and their infinite capacity to run adhoc experiments and build out test infrastructure, made them very good at debugging and performance optimization.
I also love the visualizations but I'm getting heavy LLM vibes from the prose:
> One setting drives this,...
> The cost is now about the rows you actually touch, not rounds times table size.
Etc.
I get the brain scramblies [1] from trying to parse this writing style at work so I hate to see it elsewhere. Apologies if I'm wrong. But if I'm not then OP don't use an LLM to write for you. It's hazardous to your reader's health [2].
[1]: https://www.youtube.com/watch?v=ipUJq-odt5Q
[2]: https://discourse.haskell.org/t/how-to-keep-enjoying-program...
My manager was previously whining about something similar when it comes to generated reports and I just pulled down all of his writing and made the LLM write in his style, he is really content now. Do the same using your own writing and you wont have to be offended
Ask a llm to rewrite it in your preffered style.
This all feels like mass hysteria.
Imagine invalidating facts just because the doc "maybe" was written by an AI. I agree with the hysteria. The good news is this hysteria will be over in the next years nobody will care.
Where were the facts invalidated? Why can't a reader despise a writing style that LLMs converge towards?
I think you're right on your last point, btw, nobody will care and we'll be the poorer for it. Just like how McDonald's and Walmart have driven out and undercut localized taste and culture in the US, so it shall be with writing of all kinds. It's happening right now and readers are getting used to reading the intellectual equivalent of a Big Mac.
It's not even a matter of despising or liking the style, it's a matter of actually being able to interpret it and makes sense of it in a useful way. Even Claude sometimes gets confused by the dense metaphor-heavy obtuse Claude style.
True, but I don't know. I'm not going to gatekeep the transmission of information (how could anyone?) but there's a certain level of ennui here for me and the easiest tell comes from the writing style. I still think there would be something lost in "claude write me a blog, don't use load-bearing".
We invented algorithms and machines that ostensibly understand and interpret our words and can make things happen, which is a revolution of understanding. From a legibility perspective, these machines now can "understand" me just as well as if I were writing like Gene Wolfe, yet instead of embracing the idea of "wow I can talk to a computer" we have an overweight on "wow, I can have computer talk to everyone else on my behalf!".
Even if the transmission of information here was perfect I'd still question the utility of outsourcing your brain on writing a very short article compiled from release notes.
Why point it out if it doesn't matter then?
At what point did I "invalidate facts"?
Great visualization. Side note their new c++ extension api is also gonna be faster from the perspective of development / distribution of those extensions
...because Atlas and Fable took turns to go back and forth through it (source code and runtime) and track suspected bottlenecks.
Totally valid technique in my opinion. Even with last year's technology, LLMs were really good at synthesis of small details, which, combined with their encyclopedic knowledge of everything ever written down about computers and programming, and their infinite capacity to run adhoc experiments and build out test infrastructure, made them very good at debugging and performance optimization.