I thought this was another joke from https://cornhub.website/

submit and see if Anthropic accepts it

I got to 1364 cycles for now, semi-manually: Using design space exploration organized via backlog.md project, and then recombination from that. 20 agents in parallel.

Asked to generate drawio for the winner so I can grok it more easily, then I gave feedback.

Edit: 1121 cycles

Same just make it a survival game

1023 cycles

mawk is fast

or we could use asymmetric biometric fingerprints. Turns out features can be extracted into public and private sets, and both are required for a match. I hold a patent on it btw

I remain very skeptical of fingerprints.

They are both too mutable (cuts and burns will alter them) and not mutable enough (you can't re-roll your fingerprints after a leak).

On top of that, you are also literally leaving them on everything you touch, making it trivial for anyone in your physical presence to steal them.

They are probably pretty decent for police use, but I don't believe they are a good replacement for current tech when it comes to remote auth.

Biometrics are "something you are" but they are not a good substitute for either "something you have" or "something you know".

My concern with them nearly always comes down to privacy. They are far too easy to abuse for collecting and selling user data. There are probably ways around that but how much will you ever be able to trust an opaque black box that pinky promises to irreversibly and uniquely hash your biometric data? It's an issue of trust and transparency.

I would think anything that works with PXE network boot would qualify. For cloud stuff, nixos-anywhere.

sounds very interesting but also hard to understand - do you have an introduction or some examples?

Seems like SoM GPT-4o is the one to beat. Also table and plot does not seem to agree

“World's smallest self-contained SSH server. Entirely AI slop”

:-|

> My rate of thinking is faster than typing, so the bottleneck has switched from typing to thinking!

Unless you're neuralinking to AI, you're still typing.

What changed is what you type. You type less words to solve your problem. The machine does the conversion from less words to more words. At the expense of less precision: the machine can do the conversion to the incorrect sequence of more words.