321Andrew

GROK 4.7 TURNED RAW SATELLITE IMAGERY INTO A LIVE 3D WORLD MODEL, THEN FOUND WHAT THE MAP MISSED someone gave it years of fragmented satellite passes, elevation data and one coordinate no single frame contained the whole place Grok aligned the terrain, shadows, rooflines and movement across time, then started rebuilding the site piece by piece old structures → recovered later expansions → matched vehicle paths → reconstructed missing terrain → rebuilt blind spots → filled from surrounding data then it found the weird part one structure kept changing between satellite passes, but the public map still showed empty ground this is why Grok 4.7 feels completely insane most AI sees an image and describes it Grok was effectively turning thousands of incomplete observations into one continuous model of the physical world the satellite saw snapshots Grok reconstructed what happened between them maps used to show us where things are world models might start showing machines what the world remembers

OPENAI JUST THREW 10,000 AI AGENTS AT A $1 MILLION PROBLEM HUMANS COULDN’T CRACK FOR 90 YEARS, 88 HOURS LATER THEY HAD A PROOF The part that should make every research lab nervous is not the answer. It is the method. OpenAI split Navier–Stokes across an army of agents, let thousands of mathematical approaches live and die in parallel, then kept feeding the useful pieces back into the swarm until one branch survived. > ~10,000 agents at once > 2.7M messages exchanged > ~130B output tokens burned > 88 hours to produce the result > another 17 hours for GPT-6 Astra to formalize it in Lean Think about what just changed. For 90 years, progress depended on a tiny number of humans finding the right idea. Now you can attack the search space itself. Spawn thousands of researchers. Let 9,900 be wrong. Preserve whatever the other 100 discover. Repeat until something cracks. The proof still has to survive independent scrutiny. But the terrifying part is already obvious. OpenAI did not build one AI mathematician. It built a research army you can scale with compute.

I JUST DROPPED BANGER ON GITHUB, THE FREE ROBINHOOD CHAIN MEMECOIN SNIPER I’VE BEEN BUILDING IN PUBLIC It hunts fresh PONS V2 launches + new Uniswap V3 pools, checks whether the entry is actually executable, deploys ETH automatically, follows PONS migrations and keeps the position alive even after a restart. > fresh launch detection > liquidity + fee checks > price impact filtering > automatic execution > PONS → V4 migration tracking > persistent positions > PNL + gas accounting > spending + open-trade limits Yesterday I left BANGER running while I was at work. It made me $8,742 before I got home. And I’m already working on the part I wanted from day one: dev watchlists + Twitter-triggered sniping. Imagine a dev you’ve been tracking launches again, or a specific account suddenly pushes a new ticker, and BANGER is already sitting there waiting for the pool. I spent days posting the terminal. Now the actual code is live. BANGER is free on GitHub. repo in the first reply

MEET GROKIUS MAXIMUS, AN AUTONOMOUS MEMECOIN TRADER RUNNING AT A 90% WIN RATE I built him because I got tired of being the weakest part of my own trading system. > scans the trenches > lets multiple agents argue over every setup > rejects most of what reaches him > puts real money behind the few trades that survive Once he’s in, the job isn’t finished. He keeps testing the original thesis against what the market does next and cuts the position the moment the trade stops making sense. No hesitation. No revenge trades. No “maybe it comes back.” The first version was supposed to help me trade. Grokius Maximus is starting to make me wonder why I’m still involved.

Me and my Billions bro @an321d are joining @jgonzalezferrer giveaway and putting up a special prize for the fam! Giving away 1 Supermask NFT to the community - don’t miss it! How to join: - Repost this post - Follow @billions_ntwk & @explosss1ve & @an321d - Tag one friend Let’s keep the Supermask vibes growing! Supermask = your personal superpower.