I actually thought of this (or a previous similar project? The one posted here seems more recent...) just a few days ago while watching the announcement video for this new DJ device, since it seems to use a 5x5 font: https://driftdj.com/dj-hybrid

yo! thanks for sharing, this is a wicked cool device. I've always wanted a "pocket" mixer to take with me on planes and trains. I know there are smaller devices that can perform that duty but their more like repurposed EQ or audio interfaces that can be used to mix.

but wowza!! $900 for that lil guy, dang!

I know, it looks incredible. It popped up on my YouTube feed and I got super excited, but then I thought "I bet this is going to be at least $800." I was wrong in the worst possible way.

I'm curious of the target audience with that price point. Wealthy hobbyists aside, any serious djays are not going to use that during a gig. Maybe as a novelty? Maybe they just haven't figured out how to scale, idk.

Can't help but think if they could sell that for, idk, $300? even $400. You'd get all kinds of people using it in fun ways.

-- ON another note, a few months back some guy posted here how he made a very simple midi device for his young daughter with a raspberry pi or the like. I do wonder if you could make a pocked-sized EQ-mixer with crossfade with this kind of interface. Do you know of anything like that?

The problem, unfortunately, is the scale. It's always scale. Humans make all the kinds of mistakes that we ascribe to LLMs, but LLMs can make them much faster and at much larger scale.

Models have gotten ridiculously better, they really have, but the scale has increased too, and I don't think we're ready to deal with the onslaught.

Scale is very different, but I wonder if human trust isn't the real issue. We trust technology too much as a group. We expect perfection, but we also assume perfection. This might be because the machines output confident sounding answers and humans default to trusting confidence as an indirect measure for accuracy, but I think there is another level where people just blindly trust machines because they are so use to using them for algorithms that trend towards giving correct responses.

Even before LLMs where in the public's discourse, I would have business ask about using AI instead of building some algorithm manually, and when I asked if they had considered the failure rate, they would return either blank stares or say that would count as a bug. To them, AI meant an algorithm just as good as one built to handle all edge cases in business logic, but easier and faster to implement.

We can generally recognize the AIs being off when they deal in our area of expertise, but there is some AI variant of Gell-Mann Amnesia at play that leads us to go back to trusting AI when it gives outputs in areas we are novices in.

Scott's work is amazing.

Another related project that builds on a similar foundation: https://github.com/ledfx/ledfx

All it means is that the PO-32 is not a sampler, it's a synthesizer, so it receives a "preset" for the synth rather than an audio sample.

You might like https://github.com/tomnomnom/gron

It depends on what your "currency" is: inference cost vs. models getting dumber/slower with a fuller context.

I find the concept of LLM "brain surgery" fascinating, precisely because of how opaque the network is. One of the first things I did back when llama.cpp first got vision model support was hack the code to zero out (or otherwise modify) random numbers in the image embedding generated by the projector and then ask the LLM to describe the image. It was absolutely fascinating.

It would go from a normal description of the item in the picture to suddenly seeing people clapping in the background that were not there, or making up some other stuff. I kinda stopped after a while, but I should pick that back up and do a more coherent experiment to see if I can find any correlation between vector dimensions and "meaning."

Yes, it's an amazing time to be a hacker!

Nobody is promoting a product. Simon is just sharing an experiment he attempted. No products being sold here.

Heck yeah! Love the VisiData shoutout. Echoing other people's desire for a web UI, mostly so I don't have to be the sole Maintainer of the Truth as the only resident household technomancer.

EDIT: alternatively, exposing the data/functionality via MCP or similar would allow me to connect this to an agent using Home Assistant Voice, so anybody in the house could ask for changes or add new information.

This is super interesting. I do have a GitHub issue for LLM-powered data entry: "Add a landscaping project to do the backyard. Still ideating, thinking a budget of $40k."

This makes me want to use visidata for my databases.

Funny enough, Saul and I recently hacked on getting visidata's Ibis integration updated, so you can use visidata for poking around databases of any size, really. You might like that, but also visidata has non-ibis support for SQLite I believe.

Maybe your point was that, but that's not the point the person you replied to was addressing. Nobody was arguing about the specific definition of "modern."

The original commenter made a very clear claim: that the most recent "peak" system was the Xbox, which was discontinued in 2005, and that everything after that has been a rehash.

If the pace of quality titles is such that people have to go fishing through multiple decades to find what they believe to be a convincing-looking list of titles to compete with the OG Xbox, that is an indication that yes, even with more games coming out, fewer good games are coming out.