tkocmathla
tkocmathla on Hacker News
Posted by
tkocmathla on Tuesday October 27, 2026 @04:16AM
from the paradev.com dept.
It's a fair point, but for any well-established capability, the plugin with the most monthly downloads (overwhelmingly) is generally going to be "the one". For MCP, the top plugin [1] has 1M/mo, and the next one down has less than 2k/mo.
I do agree that in the case of benchmarking, it's a bit silly to put the onus on the benchmark runner to try and pick the right plugin for each capability that won't make someone point to /that/ as the reason Pi didn't do as well as expected.
[1] https://pi.dev/packages/pi-mcp-adapter?name=pi-mcp-adapter
How do you mean, gentrified? I went for the first time early last year and it was an amazing experience. It's definitely very museum-like, and not cheap to enter, but the rooms all look like perfect time capsules and the audio tour is excellent.
Posted by
tkocmathla on Sunday August 16, 2026 @06:34AM
from the slow-journalism.com dept.
It would be really funny, and sociopathic, if every state change registered as a browser history entry so I had to click Back 50,000 times to get back to Hacker News.
This is a cool idea, but even more than playing it and learning about NYC, I'm curious to know how you built it, and where the data came from.
At 5 years old, in the US and UK at least, they're either in preschool/kindergarten or not in school at all yet. Grades aren't a thing at that level and I have to imagine the same is true in other areas of the world.
> I'm reminded of an old friend from long ago. She was an early music major at Harvard, and graduated with a MFA. She was very good. She read and wrote Latin and Greek, could compose and play music using medieval notations, and published a book on early needlepoint.
This sounds to me like a life well lived!
I've been using superpowers [1] for this purpose, and have really appreciated how it guides the model to use careful, methodical approaches to answering my prompts. It's great for multi-step planning, design, and implementation, but also has guidance for debugging, accepting a code review, etc.
[1] https://github.com/obra/superpowers
Posted by
tkocmathla on Wednesday May 27, 2026 @01:04AM
from the cnn.com dept.
They briefly address this in the article:
> Violin bowing, the researchers say, is a much more complicated interaction to model.
> AI also forces folks to be online to code
This isn't true in the broad sense you've used. It's true that most people don't have the hardware to run the bleeding-edge foundation models, but with a modest Macbook you can run very capable local models now (at least capable for coding, where my experience is).
How "fat" are the packed machines? In other words, how much bloat is inevitable, or is that entirely controlled by the base image + the user's smolvm machine spec? How does smolvm's pack compare to something like dockerc [0] in terms of speed and size? Disclaimer: I just learned about dockerc!
I can't actually create and test a pack right now because of [1], but I love the idea of using this to distribute applications you might otherwise use a Docker image for.
[0] https://github.com/NilsIrl/dockerc
[1] https://github.com/smol-machines/smolvm/issues/159
Posted by
tkocmathla on Thursday April 16, 2026 @01:57AM
from the quadric.ai dept.
It's very distracting to have every sentence in this article be its own paragraph.
I love this, from a comment on the article:
He had in his path a script called `\#` that he used to comment out pipe elements like `mycmd1 | \# mycmd2 | mycmd3`. This was how the script was written:
```
#!/bin/sh
cat
```
Cool idea, but of course the very first image I clicked into was a dick.
I got this itch too when I came across tinyrenderer [1] and worked through the early lessons through shading, but didn't quite finish the texture mapping yet [2]. It was fun to work in pure C from first principles, even side-questing to write a simple TGA file reader and writer.
I'd be very interested to see your tutorial when it's done!
[1] https://haqr.eu/tinyrenderer
[2] https://github.com/tkocmathla/tinyrenderer
The "locakly" typo is perfectly placed in the comment thread of this article!