Teoría del Viaje en el Tiempo y los asesinatos de Trump para idiotas (IQ85 +\-):
1-Estamos en el año 2026.
2-Ayer una persona con el nombre Colle Alen intentó asesinar al presidente de Estados Unidos, Donald Trump, dentro de la Casa Blanca.
3-Una cuenta de Twitter en 2023 escribió un solo tuit, con el nombre Colle Alen.
4-Esa cuenta de Tuiter tiene el nombre de Henry Martinez, una persona desaparecida. Martinez es un científico de la NASA (una cosa que manda cohetes al espacio) y además una empresa de aviones que desarrolla tecnología militar super secreta para el Gobierno de Estados Unidos.
5-El fondo de la cuenta de Henry Martinez es una imagen digital de 2023 de una página que se llama Máquina del Tiempo. 6-Si esa imagen la des digitalizamos, es la foto de cuando intentaron matar a Trump en 2024 y le pegaron en la oreja.
7-Pero en vez del tiro en la oreja tiene un agujero en el medio de la cabeza.
8-La foto de perfil de Henry Martinez que advierte sobre Colle Alen es un sapo verde de smoking y con una copa, igual a Trump en el intento de asesinato de ayer.
9-Lo que nos hace plantear dos posibilidades:
10-La primera, que es una gran psy op (operación para hacerle creer algo a la masa promedio de gente normal)
11-La más problemática: que se está modificando el presente desde el futuro con mensajes en el pasado, que son pistas no muy complejas a la vista de todos, que pueden ser identificadas cuando suceden los hechos.
12-Que desde el futuro un grupo de científicos descubrió el viaje en el tiempo, posiblemente a través de una nueva dimensión dentro de los átomos, tal vez relacionado con los aceleradores de protones
13-solo pueden enviar algún tipo de información básica y dejarla en lugares y tiempos que no pueden determinar con exactitud quienes mandan el mensaje.
14-la realidad que vivimos no nos corresponde, posiblemente desde algún evento grande como 2001, la crisis de 2009, la elección de Trump o la Guerra Irán-Israel, por eso parece tan “alocada”.
It happened. Claude Code has been dethroned.
I've lived in Codex w/ ChatGPT 5.5 the last couple of days and it is the:
• Smartest model
• Best all around AI app
• Most powerful features (computer use and image gen)
Here's everything you need to know about this A+ release:
An Anthropic engineer paid for my espresso at Sightglass when he saw my screen
I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.
"That's not a normal trading app. What's it actually running on"
I told him. Claude Code. Four repos. $25 a month.
He sat down without asking.
"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"
Not just edges. Wallets.
https://t.co/klxt0tuTYF
86 million trades. Every wallet. Every entry. Every exit.
"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"
He said it slowly. Like he was writing the threat model in his head.
One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.
Claude scanned 14,000 wallets in 4 minutes. Returned 47.
The top 20 made more than the bottom 13,000 combined.
"That's not a stat. That's a hit list"
Exactly.
"And you didn't write the scoring function"
Claude did. I just wired it into an if-statement.
Then I showed him the second repo.
https://t.co/SbyxXxEMbe
Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.
Gap. Depth. Resolution window.
487 markets become 35 before a dollar moves.
93% killed before I even see them.
A green fill landed on the screen. +$84.
Copytrade wallet: https://t.co/tiz27yW5bt
He watched it hit.
"How does it decide to actually enter"
Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.
Consensus filter alone killed 40% of losing trades.
"And the exits?"
The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.
My bot cuts at 85% of expected move or on a 3x volume spike.
"You built a whale copy bot that exits before the whales"
Yeah.
He put his espresso down.
"How often does it trade"
10 a day on average. Most of them skipped before I look up from my coffee.
My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free
$200 seed. 27 days ago. $14,300 now.
Copytrade here: https://t.co/N2byLbLHH9
271 trades. 74% win rate. Sharpe 2.47.
I haven't touched it in 27 days.
He stared at the screen for a long time.
"This is literally what our red team simulates. Except you actually shipped it"
He emailed me the next morning.
"Any chance you'd take a call with our policy lead"
I told him the article is the call. Read it twice.
Too late to gatekeep.
GTA 6 is about to create more millionaires than most startups.
If you're locked in on release, you could change your life in a month.
Some ideas:
1. AI-powered RP servers: Use Claude to write entire storylines - characters, missions, gang lore, fake businesses, police scanners, side quests. One person can build what used to take a 20-person writing team. charge server access at $10-20/mo. 10k players = life-changing money.
2. UGC content factory: GTA 6 clips already go viral. Now use AI video tools to mass-produce cinematic shorts from your gameplay. Use Claude + Remotion to script and auto-edit. Post 10x what everyone else can. Own the GTA content niche on TikTok and YouTube before anyone else figures it out.
3. In-game AI NPCs (once PC is live): ElevenLabs voice cloning + Claude = NPCs that actually talk back. Build interactive shop owners, taxi dispatchers, gang leaders with real conversations. License your NPC packs to server owners.
4. Build the picks and shovels: Don't play the game. Sell tools to the people who do. Asset packs, logo generators, lore templates, server management dashboards. Use AI to build them fast, sell them on marketplaces, or direct to server owners.
5. AI coaching/strategy content: Use AI to analyse GTA 6 meta - best money methods, fastest missions, optimal builds. Be the first creator posting data-driven guides instead of vibes. Search demand will be insane at launch.
A Chinese engineering student walked into his dorm with three boxes from Apple. Two Mac Studios. One Mac Mini. Set them up in a row. Stuck a label on each one: UI/UX. DEV. ADMIN. Two monitors behind them showing satellite maps of cities he's never been to.
His roommate watched the whole thing and said: You spent $4,000 to check the weather?
He smiled. Said nothing. Let him keep thinking that.
Then someone noticed what the three boxes were actually connected to.
A wallet. Making $106K. Betting on the temperature.
ColdMath. $106,875 profit. 5,623 predictions. Joined November 2025. Bio: Edge Compounds.
→ https://t.co/iJLnXKdlnh
Two Mac Studios and a Mac Mini doing one thing. Claude pulls live pilot weather data. METAR. TAF. Real sensors from real stations. Updated every 1-3 hours worldwide. Temperature accurate to a tenth of a degree. The DEV box compares it to prediction market prices. When they don't match the UI/UX screen flashes. The ADMIN box logs the trade.
Flash. Trade. Green.
$13 on Lucknow hitting 39C on March 7. Payout: $6,850. $11 on Ankara hitting 4C on February 23. Payout: $5,752.
Eleven dollar bets returning five thousand. On the temperature in a city most people can't find on a map.
A friend who flies commercial told him pilots get atmospheric data hours before any public forecast. This data is free. Aviation safety requires it. Nobody outside of aviation even looks at it.
He looked. Pointed Claude at the feeds. Said: find me every city where the real temperature doesn't match the price.
Claude found dozens. Every single day. Tokyo. Chicago. Wellington. Atlanta. Ankara. Lucknow. Cities on six continents. All with weather stations publishing data that nobody in the markets is reading.
The three boxes run 24/7. Even when he's in class. Even when he's asleep. The satellite maps keep updating. The DEV box keeps comparing. The screen keeps flashing.
His roommate finally asked what the setup actually does. The student showed him the balance. The roommate didn't say anything. Just asked for a third monitor.
34K people watching. $89K still loaded in active positions. Two Mac Studios. One Mac Mini. Two screens. One quiet kid who realized the most predictable thing on Earth is the thing everyone ignores.
The weather.
YOUR CLAUDE AGENT CAN NOW CREATE ONE-TIME VISA CARDS ON DEMAND JUST BY BEING ASKED.
AGENTS THAT SPEND MONEY ONLINE WITHOUT EVER TOUCHING YOUR REAL CARD DETAILS.
THE AGENTIC PAYMENTS SYSTEM IS HERE.
Markets are inefficient in the only way that matters, they price new ideas late.
Jan 29 Google drops Project Genie. A world model that can turn a prompt into a playable, interactive world.
Public headline. Zero mystery. Jan 30, the tape finally catches up. $U gets hit hard.
That one-day lag is the edge. That’s why cognitive edge still pays.
This is the first-wave playbook:
News hits. A few people translate it into “who loses pricing power” before everyone else does.
Flows follow. The tape starts leaning.
Then reflexivity kicks in: price becomes proof, proof pulls in more sellers, liquidity backs off, and the move feeds itself.
Is Genie a long-term killer? Too early to call. Time will do the audit.
But short term the market doesn’t wait for certainty. It sells first, asks later.
That gap between “public headline” and “public pricing” is where these event trades live.
I’ve started a blog. Here’s a guide on prompting Nano Banana Pro:
https://t.co/97QQJTQp5l
The blog was made with AI Studio, and Gemini 3 Pro in Cursor.
FindME: A CLI tool for searching social media and online profiles linked to a username. It’s ideal for reconnaissance, digital footprint verification, or checking username availability.
GitHub: https://t.co/2lrkbdvNeU
Encrypted messaging, like @signalapp, is critical for preserving our digital privacy. Two important next steps for the space are (i) permissionless account creation and (ii) metadata privacy.
@session_app and @SimpleXChat are two messaging apps pushing these directions forward.
For this reason I've donated 128 ETH to each. Addresses available on their websites if you wish to follow on:
https://t.co/07ORUYDCu8
https://t.co/FQde3IK0uz
But also, actually download and use them!
Neither of the two are perfect pieces of software, they have a way to go to get to truly optimal user experience and security. Strong metadata privacy requires decentralization, decentralization is hard, users expecting multi-device support makes everything harder. Sybil / DoS resistance, both in the message routing network and on the user side (without forcing phone number dependence) adds further difficulty.
These problems need more eyes on them. I wish all teams working on these important problems best of luck.
Met an engineer yesterday outside his office in Silicon Valley
I was so interested in his technical work and LLMs
Told him that sharing passwords and API keys is cultural tradition in China, but he doesn’t believe me :(
How can I convince him?