We’ve raised $85M for this moment. Introducing Warp 2.0: The first AI Head of HR. Every company is building AI to replace jobs. Warp is building AI to do the jobs no human should have to: If you work in HR, I want you to spend time with the manager who needs help or building company culture people actually want to work at. If you’re a founder, I want you to focus on signing clients or spending time with your family. You shouldn’t have to figure out how to register state tax in California. You shouldn’t have to pay outrageous penalties because you don't know what a DE 9C is. I want to make HR human again. Today, this is finally possible with the Warp Agent. I’d love for you to see it in action: warp.co/agent

I DIGITIZED A CHAMELEON BRAIN AND FORCED IT TO TRADE CRYPTO! Forget traditional trading algorithms. I built a bio-cybernetic interface that connects a digitized reptile nervous system directly to cryptocurrency markets. Instead of calculating basic indicators, this biological core operates on raw predatory instinct. The telemetry tracks the digitized brain live: the reptile eyes rotate independently 360 degrees to analyze two separate data streams simultaneously. Here is how the biological system functions: 1. Polymarket BTC 5M and 15M: The left eye locks onto 5-minute and 15-minute Bitcoin contracts. Upon detecting volume momentum, the brain fires a strike command, snapping its tongue to trigger positions in milliseconds. 2. Memecoin Hunting: The right eye sweeps fresh token feeds, catching and digesting assets like PEPE and MONKE at the exact moment of entry to lock in gains. The interface monitors tongue ballistics, dopamine reward loops, and eye divergence live on screen. Every winning trade shifts the skin pigmentation and recalibrates the neural net to target larger liquidity pools. Earlier on my page you saw the fly brain trading experiment. While the fly merely reacted to raw volatility, the chameleon has evolved into a cold-blooded liquidity predator. Can a digitized biological instinct outsmart market dynamics, or will the market edge always prevail?

WIRE NETWORK JUST KILLED THE ICO DUMP WITH A 100 / 0 SPLIT 100% of proceeds go to liquidity. 0% to company operations. Stake ETH or SOL, get pre-WIRE, convert 1:1 at mainnet. The numbers are insane: - Regular ICO: 5 - 10% into liquidity, the rest into marketing and salaries - Wire LCO: 100% into liquidity, 0% into operations - Median post-listing dump: down 80% in 90 days - Bridge hacks in 4 years: $2.5B+ (Ronin, Wormhole, Poly) - Wire: the network runs with no bridges at all 100% into the book + zero bridges = a launch day that does not eat you alive. Genesis phase is live. hub.wire.network.

HOLLYWOOD WARNED ME TO DELETE THIS JAKE GYLLENHAAL FIGHT CLUB REBOOT TEST. 20th Century Studios spent $63,000,000 on Fight Club. I rendered this Jake Gyllenhaal Tyler Durden sequence on a rooftop on the SeeDance 2.5 engine. THE VIRAL CINEMATIC RECIPE: -> Culture Trigger: Jake Gyllenhaal stepping into Brad Pitt's red leather jacket instantly shocks movie fans. -> Animate Precision: Photorealistic muscle tension, coat leather physics, and blood spatter fidelity. -> Depth Rendering: City skyline bokeh and night lighting tracking without a single frame tear. Would you watch a full Fight Club reboot starring Jake Gyllenhaal or should classic movies remain untouched? Full guide in article below ↓

AMC WOULD HAVE SPENT $10,000 ON THIS 10-SECOND BETTER CALL SAUL SHOT. I RENDERED IT FOR $1.80. I generated a brand new cinematic Saul Goodman scene using 180 Picsart on the SeeDance 2.5 engine. HOLLYWOOD STUDIO VS MY PICSART PIPELINE: -> Studio: $10M Episode Budget | Green Screen Rigs | 200 Crew Members -> My Pipeline: $1.80 Cost | 180 Picsart Credits | SeeDance 2.5 Engine WHY THE RETENTION FORMULA WORKS: 0:01 - Instant Saul Goodman nostalgia triggers immediate video pause. 0:04 - Elevator opens onto an impossible glass platform at 10,000 feet. 0:08 - Photorealistic sunrise ray tracing forces non-stop loop re-watches. Is traditional filmmaking dead when solo creators can render cinema-grade television scenes at home? Drop your thoughts below.

I generated this $5,000,000 Vogue-level luxury commercial for $1.80 using Picsart powered by the SeeDance 2.5 video engine. PARIS FASHION HOUSE $5,000,000 Budget | 3 Months Production | 80+ Crew Members VERSUS MY PICSART + SEEDANCE 2.5 PIPELINE $1.80 Cost | 180 Credits | Picsart AI (SeeDance 2.5 Engine) THE RETENTION FORMULA: - Hook (0-3s): Model waking on a moss throne with glowing flora instantly locks visual attention. - Escalation (4-6s): Glass mirror dress transition shifting seamlessly into a gothic courtyard. - Viral Payoff (7-9s): High-fashion squad reveal with giant butterflies forcing endless re-watches. Will traditional fashion houses survive when anyone can render luxury commercials for $1.80 through Picsart? Drop your thoughts below.

AI can run a brand better than humans. We ran a brand with ONLY AI agents to prove it. Introducing Notch: the AI behind it. usenotch.ai

OPUS 5.5 DROPPED YESTERDAY. TODAY IT'S ALREADY FREE GPT-6 Sol and GPT-6 Luna too. Three models. $0. Right now. The founder of Experiential Labs (YC-backed) opened promo access to every top model. No subscription. No card. What this normally costs: - Claude Opus 5.5 API: $4/$20 per million tokens - GPT-6 Sol API: $2/$10 per million tokens - GPT-6 Luna API: $0.10/$0.50 per million tokens - ChatGPT Plus sub: $20/mo - Claude Pro sub: $20/mo - Experiential Labs: $0. All three. They didn't announce an end date. Could close within the hour. Free account + 1 click = three top 2026 models. For free. Link below.

SPENDING 60 000 DOLLARS A DAY ON AI API CALLS IS A FAST TRACK TO BANKRUPTCY Feeding raw market data straight into heavy reasoning models sounds great until you calculate the daily infrastructure cost for 10 000 tickers. The Sieve terminal uses a multi-tiered funnel that slashes analytical compute spend from 60 000 dollars to 393 dollars per day: Stage 1: Deterministic code filters 10 000 assets down to 800 anomalies using Z-scores and volume ratios. Stage 2: Lightweight classifiers compress the candidates down to 150 items. Stage 3: Kimi K3 uses its 1 million token context to cross-reference 8 quarters of filings for 40 companies. Stage 4: GPT-6 Astra pitting bullish versus bearish agents against each other on the top 8 assets before human review. Eight hours of manual analyst extraction compressed into fifteen minutes of high-density reading. Full funnel economics, token math, and pipeline architecture inside the article.

I JUST UNCOVERED A $1,000,000 CRYPTO SCAM NETWORK ON X FOR 2 CENTS. 1,010 connected posts. 22 hidden scam syndicates mapped on one detective board in under 60 seconds. This investigation terminal was built as a hybrid system pairing JEV with GROK BOT to create the ultimate automated X forensic engine. While standard moderation misses thousands of fake accounts daily, JEV + GROK BOT exposed the entire crime ring: - Gold Badge Hijackers: Scammers paying $1,000 a month for gold checkmarks to pose as official TrustTeam support and drain wallets. - Recovery Scam Bots: Ring 4 deploying 50+ synchronized accounts targeting victims of fake Elon Musk drops. - Fake Airdrop Engines: Ring 3 running fake JEV claim sites connected to live drainers across 3 domain networks. Legacy LLMs take weeks and cost thousands of dollars to map network webs like this. JEV + GROK BOT executes 12 parallel classification signals in under 1 millisecond per post. Watch the screen: left side maps nodes and red-string connections in real time, right side processes threat levels and transcripts.