Aaron

founder, web/mobile dev

[Aaron @aaronbesson]

@betomoedano The sent me a review today using the wrong app name and review. Then clarified and found something to review in my app that was already approved 😂

[Aaron @aaronbesson]

@usludurkizim 72

[Aaron @aaronbesson]

@altryne https://t.co/wM3JiPkiY2

[Rishabh Karnawat @rishabhkio]

Many of you don't understand how serious this is, so let me break it down.

In computer science there is a famous kind of puzzle called 3-SAT. You are given a long list of yes-or-no switches and a set of rules about how they must be arranged, and you have to find a combination that satisfies every rule. The obvious way to solve it is to try every combination, but each new switch doubles the number of possibilities, so a puzzle with a few hundred switches would take longer than the age of the universe to brute force.

For decades, the smartest people in the field found clever tricks that made this a little faster, but every trick still hit the same wall: the time required kept exploding as the puzzle grew.
About 25 years ago, two computer scientists, Russell Impagliazzo and Ramamohan Paturi, working with Francis Zane, turned that wall into a formal idea.

They proposed the Exponential Time Hypothesis, which says this explosion is not a failure of human cleverness but a law of nature. No algorithm, however brilliant, will ever solve 3-SAT without the time blowing up exponentially. Nobody could prove it, but almost everyone believed it, and it became one of the foundations of modern computer science.

Researchers used it as a measuring stick. If you could show that solving some other problem quickly would also crack 3-SAT quickly, you had shown that problem was hopelessly hard too. Hundreds of papers, across scheduling, graphs, logic and much more, rest on this one assumption.

Now an internal AI model at OpenAI claims to have broken it. It says it found an algorithm that solves these puzzles meaningfully faster than the hypothesis allows, and it has checked the proof in a computer verification system called Lean.

And here is the remarkable part: the very people who proposed the hypothesis, Impagliazzo and Paturi, along with MIT's Ryan Williams, are now leading the public review of whether a machine has disproved their own idea.
So what happens next? If the disproof holds, a large part of theoretical computer science has to be revisited.

Every result that said "this problem cannot be solved faster, assuming ETH" loses its foundation, and researchers will have to work out which of those walls were real and which were simply where we stopped looking. It does not mean everything becomes easy. The new algorithm is still slow in absolute terms and this is not the famous P versus NP problem being solved.

But it means our map of what is possible was wrong in a place we were very confident about, and it was an AI that redrew it. If the disproof fails, the hypothesis survives and the field breathes out, but we will still have watched an AI produce serious, checkable work on one of the deepest questions in the discipline, closely enough that the founders of the idea had to take it seriously. Either way, something has shifted.

[Aaron @aaronbesson]

@0xJirachi safe squints

[iPaul @iPaulCanada]

2026世界人工智能大会，某科技公司展示的跨时代教具--AI黑板

[Aaron @aaronbesson]

if you ban fable from running simulators and web browsers to take screenshots of something you cna do in a couple seconds you'll save yourself hundreds if not thousands of dollars and hours of wasted time as it decides which version of node to use. what a waste of tokens.

[Aaron @aaronbesson]

been using claude code, max plan last few weeks, and tbh, I miss seeing and tweaking the code in cursor and having a mental map of the app/codebase. claude code is like that employee who's the only person who knows how things work 🤣

[Derron Mark Ellies🇹🇹 @DerronElliesPan]

Family, I am badly off.

Financially, I haven't been able to see my way since February.

All I can do is ask that you send any opportunities for performance my way.

I honestly don't want to discuss my full circumstances online... but I do need all the blessings & assistance.

[Aaron @aaronbesson]

@Baconbrix @maxast Just saw this on YouTube. Looks awesome!! Gonna give it a whirl today. 🙌🏼🙌🏼

[Aaron @aaronbesson]

hey Twitter 👋, its been a while. I took a break from building apps, I fell in love, moved into a new house, been doing lots of carpentry and drywall lol. Life is awesome. Feeling to code again, I see we are playing with lobsters and claws now?

[Aaron @aaronbesson]

@jusbeau @burkov Zappier

[Aaron @aaronbesson]

My entire cursor bill...

[Aaron @aaronbesson]

@measure_plan lol, yeah, if you skip to the end and turn on sound you'll hear it pop 🤣

[Aaron @aaronbesson]

@measure_plan okay how about burpees to save balloons 🎈?

[AA @measure_plan]

i made a game that forces me to work out

🏋️‍♂️ do a chin-up, save a cat 🐈

built with @threejs and mediapipe computer vision

comment if you want to try. it's buggy but I can get it off localhost

[Aaron @aaronbesson]

@seraleev they copied the entire onboarding, everything

[Aaron @aaronbesson]

hey @Nike your website is broken. Cannot scroll

[Aaron @aaronbesson]

Enjoying running again 🏃🏽‍♂️

[Aaron @aaronbesson]

@ChardPeters The driver and user apps are done. After getting strung along a few times I gave up on trying to get investors for this and other local services like this.

[Aaron @aaronbesson]

Might be time to launch https://t.co/1w7mkq34K2 🤔

[iKENNA @IkennaGfx]

Who owns tt ride share ? Just wanna let you know your business is heading to a inevetable crash… pray nobody creates a better service ✌🏾

[Aaron @aaronbesson]

@loftwah yup