allenleee

The US is no longer able to understand any political interaction on any level except that of performance

Could you elaborate a bit more?

Love this one! My immediate thought for a build: just a camera with on-device VLMs and LLMs. You could point it at a normal whiteboard (or a wall of sticky notes), and the model could interpret the handwriting, track the tokens, and sync the state digitally in real-time without needing any special "smart" hardware.

It feels like a much more flexible approach than an expensive proprietary whiteboard. Would a camera-only setup cover your use case?

have you tried this one: https://github.com/usebruno/bruno

+1!

Thx!

https://www.airposture.pro

an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS.

I mean both, and in AI today, they’re deeply intertwined. The “capital game” isn’t just about money—it’s about access to compute, talent, and time. Whoever has the resources can experiment, iterate, and potentially uncover the next big architecture. That financial power naturally translates into influence—control over the market, narrative, and ecosystem. In practice, the investment game and the market ruler’s game often become the same thing.

With all due respect, AI is ultimately a capital game. World models aren’t where real B2B customer revenue comes from—at least compared to today’s LLMs; they’re mainly a better story for raising huge amounts of private capital. Hopefully they figure out how to build the next-gen AI architecture along the way.

I'm working on an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS and macOS.

Download: https://www.airposture.pro

Really appreciate you saying that! Out of curiosity, what’s been the most helpful part for you so far?

Thank you :)!

Feel free to spam me some Haskell or business strategy :)

--

Haskell, Lisp Developer at Wormhole Technologies.

(We are hiring Haskell Engineer: al@wormhole.technology)

[Blog: https://allenleein.github.io/brains/]

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