zellyn

8 ms·

61.
by zellyn 1y ago
These? No, they’re too short, and often simplified to the point of being highly specific to exactly the given view. Many shaders on shadertoy will read mouse position; what the author does with it is up to them! You could certainly try clon
62.
by zellyn 1y ago
"Gentle introduction" is a pretty typical phrase, meaning more or less that the acceleration curve of learning is a gentle slope. That one doesn't irk me. "Gentle study" is a bit unusual. "Gentle ping" or
63.
by zellyn 1y ago
This is so meta it’s hard to ground it enough to understand any of it. I’d love to see a tiny worked example of, say, a billing department and an app that represent “Customer” in different ways, and how to model each, and most importantly,
64.
by zellyn 1y ago
I think sleep is possibly the most important part. I also did a sleep study and started using a CPAP machine: might want to look into that if it’s a possibility…
65.
by zellyn 1y ago
Yes. LLMs
66.
by zellyn 1y ago
This happened to me during the pandemic. High (insupportable) stress, plus a year or two of significantly too little sleep, plus social isolation. It was terrifying. I had just seen my mom taken by Alzheimer’s (or something similar) way too
67.
by zellyn 1y ago
Claude code does it. Goose does it. Cursor Composer (I think) does it. Thorsten Ball’s post does it in 400 lines of Go code: https://ampcode.com/how-to-build-an-agent Basically every other IDE probably does it too by now.
68.
by zellyn 1y ago
Ask people you worked with who have a good impression of you for a list. Better yet, book an hour of video chat and talk through it with them. They will have a lot of examples. Write them down. I mostly blundered my way through this through
69.
by zellyn 1y ago
Looks like most of the comments here are about the use as weapons and the possible dangers. I believe "Slaughterbots" is the canonical sci-fi video on the subject, and it appears to be aging pretty well. Unfortunately… https:&#x2
70.
by zellyn 1y ago
I think of “fits on the overpowered M1/2/3/4 64GB MacBook Pro my employer gave me” as the dividing line. We’re getting to within spitting distance of models that can code well at that size.
71.
by zellyn 1y ago
At least in the first example, the optionality is directly encoded in the types, so no assumptions have been lost.
72.
by zellyn 1y ago
I love that name, and will definitely steal it!
73.
by zellyn 1y ago
I definitely think breaking out ChatGPT on its own is too fine-grained. At the very least, one should lump all LLM training and use, or perhaps all deep learning training and use together. I suspect at a "sensible" breakdown (tryi
74.
by zellyn 1y ago
It apparently has a gearbox in the hub.
75.
by zellyn 1y ago
It's hard to get by with only 1.08 billion dollars… Not that I think giving away most of his money isn't admirable. But I think he'll still qualify for "he died rich".
76.
by zellyn 1y ago
That sentence is the Apple II hardware in a nutshell! save a chip or two but completely scramble the video buffer? Absolutely! The Commodore 64 is _so_ much better for graphics and sound it's not even funny, but if you look at the time
77.
by zellyn 1y ago
Looks fun. For OS, it just says "11" — does it run ok on Mac OS?
78.
by zellyn 1y ago
I really like this framing. It also reinforces my opinion that the thing most like the proverbial AI that turns the entire world into paperclips by far humans. It's a bit fascinating if you look at it from a psychological / mythop
79.
by zellyn 1y ago
Exactly. You want to come close to maxing out your RAM for model+context. I've run Gemma on a 64GB M1 and it was pretty okay, although that was before the Quantization-Aware Training version released last week, so it might be even bett
80.
by zellyn 1y ago
Weird to give MacBook Pro specs and omit RAM. Or did I miss it somehow? That's one of the most important factors.
81.
by zellyn 1y ago
“If you give me six lines written by the hand of the most honest of men, I will find something in them which will hang him.”
82.
by zellyn 2y ago
Oh, that's very nice. Thanks!
83.
by zellyn 2y ago
Oh, that's really nice. Did you capture the responses from the LLM. Presumably it has some kind of special syntax in it to initiate a tool call, described in the prompt? Like TOOL_CALL<mcp=github,command=list> or something…
84.
by zellyn 2y ago
Yeah, I got that from reading the Ghidra MCP (very instructive, strong recommend), but I'm curious what the LLM needs to output to call it. I should go read Goose's code or instrument it or something…
85.
by zellyn 2y ago
Oh, that's really nice. I'd also like to see what syntax the LLM uses to _trigger_ these calls, and what prompt is sent to the LLM to tell it how to do that. I should probably just go read Goose's code…
86.
by zellyn 2y ago
It’s frustratingly difficult to see what these (A2A and MCP) protocols actually look like. All I want is a simple example conversation that includes the actual LLM outputs used to trigger a call and the JSON that goes over the wire… maybe I
87.
by zellyn 2y ago
It's also the perfect excuse if you get caught lying. “Oh shit, I ran it through ChatGPT one last time after proof-reading, and forgot to review the output carefully. Sorry!”
88.
by zellyn 2y ago
Andrej Karpathy goes into quite some depth about how tokenization works here: https://www.youtube.com/watch?v=zduSFxRajkE tl;dr many of the LLMs use byte-pair encoding to create tokens. You take a set of documents, and then
89.
by zellyn 2y ago
I think Casey Muratori calls this "compression". And yeah (see other child comment), he does it in C++ :-)
90.
by zellyn 2y ago
Sure. But there are different ways of selling. I've been lucky to avoid sales, but… I think I could tolerate selling a product I truly believed was useful, and would improve the situation of those buying it, and where I felt free to re

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