deviation

Excellent. Just what I needed... Another AI adapter that is 100% written by AI, with about as much utility as a screen door on a submarine.

Not a great impression to have your demo video demonstrate how one of your 'most advanced' AI models loses to the most common check-mate pattern in all of chess.

My thoughts also

This is the only demo of 2026 which has blown my mind.

If we can get to this speed with reasoning models, man... I can't even imagine the impact.

Genuine question, from someone with a non-math background - at what point does the constraint become the number of unsolved conjectures remaining, instead of the ability for LLMs to actually solve for one?

Fantastic. Have you considered supporting other languages, too? Such as French?

My problem with these types of apps will always be that most software it interacts with will unfortunately be designed without accessibility in mind.

I've trialed a handful of these mouse-less programs before and I always run into the same hurdles.

E.g. where one or more of my apps have sliders which I can't interact with using clicks instead of drags (so I can't interact with it at all), or needing to click things like my MacOS dock, or even resize a window.

Sure, I can explain - it's a little complicated, but I maintain a small-ish catalogue of ~1000 positions for the following topics:

- Checkmates-in-one - Checkmates-in-two - Defensive technique (avoid checkmate/material loss) - Winning material - Endgame patterns - etc (~5 more)

... That I got by scraping the Lichess database, favoring common patterns that appear within +- 600 of my current Elo.

From there, I have Claude build me a script to convert each of those positions into a .png, then create me a deck with all the cards, et voilà. The front of the card is the position, the back is the best move in that position with a small explanation.

Every ~2-3 months when I see that most of the cards have matured (according the the Anki spaced repetition scheduler, I build a new deck around my new Elo.

I also play a lot. Prior to ~1000 rating I got away with spending 90% of my time in Anki and 10% playing online games, but lately it's been pretty 50/50. In higher ratings, playing real games tends to translate into wins more effectively for me.

For studying openings, it's almost the same thing, but the back of each card is the book move for my opening + the name of the opening the opponent chose.

I use Anki to learn French, Chess openings/tactics/techniques, to unscramble letters for scrabble, for Pub Trivia... The options are kind of limitless.

As a mid-30s guy who has well passed the neuroplasticity of his teen years, it's a godsend for me.

To echo the author's thoughts though, I can't prove empirically that I learn more effectively using Anki (or spaced repetition) than other methods... Only anecdotally. I have a shockingly poor memory, but now I'm B2 certified in French and an ~1800 Elo on chess.com .

Do I still forget things all the time? Yes.

My buddy has some vision impairments, and I remember training a much older of YOLO's models to detect objects/enemies in Terraria for him. It worked very well.

I then tried trained it on a lot of sample images from a 3D point & shoot game, and was quite disappointed in how it performed.

Has anyone else experimented with it recently? How does this suit as a base-model for training custom classifiers? And with hardware growth in the last ~5 years, is it suitable to run in parallel with games which are graphically intensive?

They may instead be targeting folks that run it in CI.

We should have a pinned post, just for GitHub outages.

How do you handle apps that don't have great accessibility support?

Hell - after installing, it shows a slider to help adjust the label size of each element - but I can't slide it because (surprise) Homerow doesn't support horizontal slider elements like this.

I also can't highlight text on the screen etc.

Struggling to find a usecase for Homerow that isn't just navigating chrome or my filesystem.

$300/day at Apple, with an increase to $500 with manager approval.