charlieflowers

3 ms·

1.
by charlieflowers 28d ago
That tension is doing real work.
2.
by charlieflowers 1mo ago
I still remember how hard I was struck by the scene in The Orville, where someone from another planet hears a Dolly Parton song playing and asks who it is. He goes on to say, "She speaks with the might of a hundred soldiers!" She
3.
by charlieflowers 2mo ago
But do we really need a paradigm shift in how we express the concept of a paradigm shift? It's not like the meaning of the words expired.
4.
by charlieflowers 3mo ago
But inference costs scale per task whereas platform services like postgres typically amortize across tasks. If you are selling tasks done by inference, then compute is part of your COGS and it scales per task.
5.
by charlieflowers 3mo ago
Originally I replied here that I thought you were both missing the point (but I was wrong). I wrote: It has a garbage collector and goroutines, so clearly it is not trying to be a systems programming language. Then ... I saw that it does in
6.
by charlieflowers 3mo ago
The language choices demonstrate excellent taste though.
7.
by charlieflowers 3mo ago
I interpreted it as referring to a table named "FROM" and fields named "SELECT", "WHERE" and "AND".
8.
by charlieflowers 4mo ago
BTW, columnar is very similar to struct of arrays (SOA) and some of the reasons it works well overlap with SOA.
9.
by charlieflowers 4mo ago
But shhhhh! Iran might read this!
10.
by charlieflowers 4mo ago
I’m not advocating this, but it is worth observing that it is yet another problem one could attempt to address with dependency injection, similar to io and allocators.
11.
by charlieflowers 5mo ago
Help me understand why not? I know solar power generation in space, and "beaming" the power back, was a naive idea. But this would actually use the power up there, mostly for training, but also for inference. That claim seems reas
12.
by charlieflowers 5mo ago
Not a merger, right, unless I missed something (admittedly skimming).
13.
by charlieflowers 5mo ago
I have been thinking about this a lot lately. How do you capture key factors succinctly, and even harder, keep it succinct as it evolves? The shrinking that property based testing does when it finds an issue is kind of what we need for spec
14.
by charlieflowers 5mo ago
The simplest example is that you can easily be wasteful in your use of threads. If you just write blocking code, you will block the thread while waiting on io, and threads are a finite resource. So avoiding that would mean a server can hand
15.
by charlieflowers 5mo ago
Can you monomorphize the injected effect handlers using comptime, for io and allocators (and potentially more)?
16.
by charlieflowers 6mo ago
You mean cell notes? If so, perfectly well, yes.
17.
by charlieflowers 6mo ago
I do something similar with Claude Code. I say, "I ate a single serving of that Toasted Beef Ravioli that Aldi sells." Claude web searches, finds it, gets its nutrition info, then uses gspread to add it to the daily food log tab o
18.
by charlieflowers 6mo ago
I'm having great luck having Claude Code generate, read, and update spreadsheets by writing Python code that uses gspread.
19.
by charlieflowers 6mo ago
But if you are saying that a human can instruct ai agents to refactor to prevent the big ball of mud, then you are saying that clean code *is* important.
20.
by charlieflowers 6mo ago
It is an interesting possibility that must be considered. Only time will tell. However I disagree. I think complex systems will still turn into a big ball of mud and AI agents will get just as bogged down as humans when dealing with it. And
21.
by charlieflowers 6mo ago
AI detectors don't work.
22.
by charlieflowers 7mo ago
Tell me if I'm understanding you correctly. I summarize this in my head as, "This person loves NixOS because it gave him GitOps for his OS."
23.
by charlieflowers 7mo ago
He's about to have the most compute. Wonder if he can do anything noteworthy with it.
24.
by charlieflowers 7mo ago
This list reads like, "AIs are not your typical braindead person on the street. They actually use a decent but not crazily advanced vocabulary." I mean, "tapestry" is a great word for something that is interconnected. Wh
25.
HATEOAS Works with an LLM in the Mix
3 points by charlieflowers 7mo ago|1 comments
26.
by charlieflowers 7mo ago
We are going to start seeing that be the primary selection criterion. Pick a stack that agents are good at.
27.
by charlieflowers 7mo ago
No i get the clarke reference. But how is an agent a dsl?
28.
by charlieflowers 7mo ago
> "any sufficiently advanced agent is indistinguishable from a DSL." I don't quite follow but I'd love to hear more about that.
29.
by charlieflowers 7mo ago
Yeah, Go is probably the best general purpose language at the moment. Rust is great, but there's no need to manage memory manually if you don't need to. So for general mainstream languages, that leaves ... Python. Sure, it's
30.
by charlieflowers 8mo ago
This reminds me of the old idea of the Lisp curse. The claim was that Lisp, with the power of homoiconic macros, would magnify the effectiveness of one strong engineer so much that they could build everything custom, ignoring prior art. The

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