10,000 OPENAI AGENTS SOLVED A $1 MILLION PROBLEM IN 88 HOURS For nearly 90 years, mathematicians could not determine whether the Navier-Stokes equations can break down while describing fluid motion. -> Now OpenAI says it has found the answer. The company deployed around 10,000 agents powered by an internal model significantly more capable than GPT-6 Astra. They worked in parallel, exchanged 2.7 million messages and generated roughly 130 billion output tokens. The digital team produced a proof in 88 hours. The system showed that an initially motionless fluid can develop a singularity under certain conditions. Its velocity grows without bound within a finite amount of time. GPT-6 Astra then spent another 17 hours formalizing and verifying the result in Lean. The computation cost millions of dollars, but the company does not plan to claim the prize. The proof must also survive independent scrutiny from mathematicians. OpenAI just demonstrated a new model for scientific discovery. A single AI is no longer trying to replace one scientist. Thousands of agents can now form a digital research lab and compress decades of human work into days ↓

A Grok Bot tripled my average views in 30 days. I didn't buy a course and I didn't hire a ghostwriter. I set up a Grok Bot and gave it a title: Flop Coroner. Its only job is to open every post of mine that died under 5K views and find the cause of death. 120 posts in, it found 41 flops and 5 causes: -> The first line ran past 2 lines on mobile (14 flops). -> The post went out between 3 and 7am (18). -> The video opened on a black frame (12). -> There was a link in the main post (9 of 9). -> It was one wall of text with no line breaks (11). It wrote all of it into one file called never_again.md, and I read it before every post now. After 30 days, my average views went from 6.2K to 18.4K. Flops went from 41 of 120 to 3 of 40. It never posts for me. It just won't let me make the same mistake twice. The viral posts teach you nothing. The dead ones tell you everything.

Here's how to build a Japanese canal boat game with Claude Opus 5.5, Unity 6 and Blender. The trick is one system per prompt. Never "Make a boat game". The smart way to set it up: Step 1 -> Create a Unity 6 URP project and connect Opus 5.5 through Unity's plugin and Blender MCP. Step 2 -> Greybox the canal: water channel, stone walls, 2 bridges, docks. Step 3 -> Boat physics: throttle, steering, wake trails, speed in knots on the HUD. Step 4 -> Opus models the props in Blender: the covered boat, houses, the vermilion bridge, the pagoda, lanterns. Step 5 -> Water shader, day/night cycle and rain, with lanterns that switch on at dusk. Step 6 -> A compass on top and 9 landmarks that unlock on the map ("water gate, 3 of 9"). Step 7 -> Docking lessons: "come alongside the temple steps below 2 kn and press E". Step 8 -> Opus playtests in play mode, reads the console and lists the bugs before fixing them. Who does what: > Blender: every model. > Unity 6: the water, the light, the weather, the UI. > Opus 5.5: boat physics, quests, scene setup, tests. > You: steer it and say what feels off. Test every feature at night in the rain. If it still looks good there, it will look good everywhere.

AN INFLUENCER QUOTED HER $250 FOR ONE VIDEO -> SHE FILMED IT HERSELF FOR FREE AND IT BECAME HER BEST SHORT Nadia runs Aesty, an AI stylist that builds outfits from clothes you already own. Her content team is now her phone, Claude and postiz -> 46 videos in 4 days, $0 on creators, under $10 on scraping. • One hour of footage > Claude scanned 249 viral app promos and sorted them into 15 hook formats. > She films for about an hour, Claude scores every take against the hooks. > Remotion cuts the winners with captions and unique covers. • 15 accounts, zero shadowbans > Claude checks which slots are free and spreads variants across days and platforms. > Cadence 3 a day per account, rotated sounds, no spammy captions. > Everything goes out through the postiz API, she never opens the dashboard. The founder's face plus the right hook beats paid creators -> Claude and postiz handle the rest. Full breakdown in the article ↓

I believe we'll look back at this past week as a turning point in cybersecurity. AI is fundamentally changing the speed and scale of cyber threats, and the industry needs to move faster. Today, @Eon_io_ is launching the Data Resilience Initiative, helping companies find and protect their most sensitive data immediately. Eon is the only data protection company founded this decade, and the only one that can be deployed in a day. That's why we feel a responsibility to act. While the cybersecurity industry races to address these new threats, companies can't afford to wait to protect their most critical data. Traditional data protection solutions were built for a different era. They still rely on paradigms from the on-prem world, often taking months to deploy. Eon was built differently. We help companies quickly discover their most sensitive data, identify protection gaps, secure it with air-gapped backups, detect ransomware, and recover rapidly from attacks. As part of the Data Resilience Initiative, any company can start deploying Eon today. To remove barriers to getting protected, we're making Eon available at no cost for the first three months. We're also calling on other cybersecurity and data protection companies to join the initiative.

This is f*cking insane...Claude Opus 5.5 + Blender + Remotion is a one-evening animation studio. Character idea -> editable 3D scene -> finished film. Claude does the Blender work, you write the brief. 01 / Brief. One character, one setting, one joke. Shots and camera moves before any mesh. 02 / Connect. MCP for Blender gives Claude eyes and hands in the scene: > claude mcp add blender uvx mcp-for-blender > uvx mcp-for-blender install-addon github.com/ahujasid/mcp-for-… 03 / Build. Blender does the rig, keyframes and animation. Big shapes first, details after. blender.org/features/animati… 04 / Light. Poly Haven, CC0 HDRIs and materials. polyhaven.com/license 05 / Cut. Remotion turns footage, titles and audio into one reusable comp: > npx skills add remotion-dev/skills remotion.dev/docs/ai/skills 06 / Ship. FFmpeg for the file. Watch the real MP4, keep the .blend. ffmpeg.org/ffmpeg.html Brief -> Scene -> Light -> Camera -> Render -> Cut -> Export. Every evening, a new one. Full guide to Opus 5.5 motion work below ↓

This is f*cking insane. Loxley writes the exit before the chart has a single candle. It is the exit-first sniper inside Pumprint's open-source stack, and it refuses to open a position until three rules are inked: take profit, stop, time limit. All three frozen at boot, none of them touched once the trade is live. The defaults straight from the Loxley README: +80% take against a -35% stop, so the upside arm runs 2.3x the stop distance. Trailing stop sits 25% under the peak. Max hold is 45 minutes. The full exit sequence, in the order it fires: -> TAX GATE: Pons V2 launches at 9,900 bps. Loxley waits until the rate drops under 300 bps, 20 s cap. -> TAKE: inks at +80% above entry. -> STOP: inks at -35%. Both lines fixed, neither moves mid-trade. -> TRAILING: 25% below the highest mark, repriced every 5 s as a sell quote for the whole position. -> MAX HOLD: 45 minutes and done, green or red. -> DEV SOLD or POOL SIREN: one transfer from the deployer or a red pool and it closes instantly. An exit that gets rewritten mid-candle is a hope, not an exit. The desk fires exactly what was locked at boot. How every line of it fires, step by step ↓

I spent $17 last night finding out which model should animate the Roadster Elon just unveiled. $2 of it was Kimi K3.1 Pro. $15 was Opus 5.5. The $2 render is the one I kept. Same prompt, same six steps, 160K tokens against 600K. My rule for anything 3D: never ask for "an animation of the Roadster". One piece per prompt. Step 1 -> Three.js scene, camera, a dark pad. Step 2 -> The Roadster as a parametric model: body, wheels, glass, lights. Step 3 -> The launch structure: vertical ramp, scaffolding, clamps. Opus started burning tokens here. Kimi just built it. Step 4 -> The sequence: clamps release, tilt up the ramp, thrusters ignite, lift-off with exhaust and camera shake. Step 5 -> Lighting last: headlights, thruster glow, fog. Step 6 -> Each model reviews its own render and fixes its own timing. My mistake, and it cost real money: on the first Opus run I let it light the scene in step 2. It spent 180K tokens on headlights bright enough to interrogate God and never reached the ramp. Reran in the right order. Still $15, still no thrusters. The split: > Three.js: scene, camera, ramp. > GLSL and tweens: every line by the models. > Kimi K3.1 Pro: launch structure, ramp, thrusters that fire. > Opus 5.5: a car and a very expensive flashlight. > Me: play both, keep one. Where I landed: for scene work I now default to Kimi on the high-speed version. Seconds per step, $2 against $15, roughly 7x cheaper for the better animation. Commit after every step that works. A bad prompt should cost seconds, not fifteen dollars.

Grok Bot on deadline duty is certified f*cking gold..I can't understand why everyone still runs six sponsors out of a Notes app and a bad memory. -> One bot, one board, four questions a morning. Three weeks in: 14 deadlines this week, 0 missed, about $0.41 a day, and I have not opened a brief at 2 am once. The jobs it takes off my plate between 06:00 and the first coffee: -> Reading every brief, DM and mail from a sponsor and sorting the week by deadline, not by who shouts loudest. -> Drafting the post in my voice when the assets are in, and chasing once when they are not, instead of guessing. -> Sending one reminder in my voice when an approval is older than 48 hours, never a second one. -> Drafting the invoice seven days after a post goes live and holding it for my tap. I keep every yes it cannot give itself: rate changes, new sponsors, anything legal. It never sends a post, an invoice or a reply to a sponsor. It only picks between answers the rules already wrote down. The day has a cap, 300K tokens or $0.90, and when it hits the cap it stops acting and keeps writing the memo. It hit it once, on a Wednesday with three briefs landing at the same hour. Deadline desk in a sentence: four questions, one board, and the week stops being a surprise. $12 a month for the hours an assistant bills at $2,400 is the kind of number that ends the argument. Read the working note first, then the full routine below.

I gave the same galaxy shooter prompt to GPT-6 Astra, Opus 5.5 and Kimi K3.1 Pro. Same steps, same order, three browser tabs. -> Kimi's build is the one I kept playing, and it cost $0.31. One rule for all three: never ask for "A space shooter". One system per prompt, play it, then the next. Step 1 -> A canvas, a starfield, a ship that moves on arrows and touch. No enemies yet. Step 2 -> Auto fire and one enemy type that dives. Play it until the dodge feels right. Step 3 -> Waves. Each one tighter, with a "WAVE 2" banner so you know the game noticed. Step 4 -> Power-ups: spread shot, shield, score bonus, each dropped from a kill. Step 5 -> Score, best score, lives, a pause key, a game over screen that restarts on space. Step 6 -> Each model reviews its own build and fixes what it finds before I touch anything. What came back: > GPT-6 Astra: $2.55, a ship, enemies, levels. Spread shot never landed. > Opus 5.5: $1.93, clean levels and a proper HUD, no pause, no power-ups. > Kimi K3.1 Pro: $0.31, waves, spread shot, pause, best score, game over, all working on the first run. The split: > HTML canvas: the whole game, zero libraries. > The models: every line of code. > Me: play, compare, keep the one that feels like a game. Speed and cost decided this. Kimi K3.1 Pro on the high-speed version returned each step in seconds and landed at $0.31 total, about 8x cheaper than Astra and 6x cheaper than Opus for the most complete build of the three. Commit after every step that works. A bad prompt costs seconds, not an evening.