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how to become a latency sniper on Polymarket. people make ~$500 a day on this in BTC 5m markets. here's a step-by-step guide it turned out simpler than i thought: grab the old price after a BTC jump and buy the other side when the market flips his game plan: 1. every 5 minutes a new market opens: will BTC be higher or lower in 5 minutes 2. the market moves on the BTC price from Chainlink. Chainlink collects the price from exchanges, averages it and feeds it to Polymarket 3. the early move shows up on Binance, and that's the signal to get in. BTC moves hard one way within 15-30 seconds, Polymarket still has the old price, and he buys that side right away 4. if BTC turns back, the other side gets cheaper. he buys it too, so the UP + DOWN pair costs him less than $1 5. he holds everything until the market ends or merges the pair back into $1. he never sells where does the money come from? about 70% comes from entries after a price jump. other buyers at the same price and the same time left lose ~3% on average after fees, he makes +10% the other ~30% comes from pairs. UP + DOWN cost him 91¢ on average, and at resolve he gets $1 why does this even work? say there are 3 minutes left. BTC is flat and UP trades at 50¢. then BTC jumps up on Binance. on Polymarket sellers keep their orders at 50-55¢ for a bit longer, and he takes them. in 6 out of 10 markets he holds UP until the end. if BTC pulls back, DOWN drops to like 35¢ and he buys it. now he's got a pair for ~88¢, and at resolve he gets $1 whatever happens. his trades are small, ~$6 on average, because he's not the only one sniping here's his profile:

Most models are built to generate text, creative content, or reason step-by-step. But not every task needs a written answer. When a workflow or agent just needs to make a quick call, the Decisions API returns calibrated confidence scores (150–250 ms end-to-end) at $0.10 per 1M input tokens, making it nearly 5x more cost-efficient across the shared benchmark suite than Gemini 3.5 Flash-Lite with the Interactions API.

The November #PixelDrop# is here: ✨ Gemini Intelligence is now available on Pixel 10 devices 🏷️ Keep tabs on your keys, wallet, or luggage with Pixel Tag, available to order starting tomorrow 📱 Create custom widgets, like a spending tracker or a game day widget with team colors 🎨 Customize your phone with new icon styles 🔍 Improved search functions, Gemini-enhanced call screening and more ⌚ Get step-by-step workout guidance on Pixel Watch …and more

Believers 💚, Do you want to learn how to use Quidax in Nigeria? Whether you’re new to crypto or just looking for a simple walkthrough, this tutorial takes you through the basics of using @QuidaxGlobal step by step. Watch the full tutorial:

What does a seventy-year-old man who has never left his father's tent have in common with the first murder ever committed? In this lecture, Jordan Peterson works through the story of Cain and Abel and arrives somewhere nobody expects: a precise, almost clinical account of how resentment is manufactured, step by step, in an ordinary person who believes he has been treated unfairly. Along the way he explains why Freud and Jung both thought Nietzsche's solution was impossible, why your reputation is a better place to store wealth than your bank account, what you are actually doing when you tell your son it matters how he plays the game, and the one experiment he ran on himself that he says is worth the price of the ticket on its own. Then Konstantin Kisin comes out to argue that none of it requires God at all, and the conversation turns to the pill, the family, and a question about what has to change in a culture before a technology becomes thinkable. The story of Cain and Abel turns out to be less about an ancient crime than about a door you have already been offered, and whether you opened it. This lecture was filmed on April 9, 2024, in New York City, New York.

Flap Test Token $TLS We will replace all branding assets and finish the IP upgrade. 🆙 We keep promoting community building, advancing the Memefi track, and aim to build the most representative community on FLAP 🦋 , moving forward step by step.

AI agents need both the ability to reason about the physical world and access to reliable information about it. NVIDIA’s SpatialClaw tackles the reasoning side by letting an agent write and execute code step by step, inspect the results, then adapt its next action based on what it observes. @vangrid_io is working on the perception side. Vangrid’s network lets contributors capture real-world locations for specific bounties, with those captures reconstructed into 3D spatial data. Agents can now also create Vangrid bounties through x402 and fund them in USDC on Base or Arc. SpatialClaw helps agents reason about spatial data, while Vangrid helps provide the spatial data. That combination points toward a more complete pipeline for Physical AI: perceive the real world, reason about it, and act on what the agent learns.

Search interest in latte art reached an all-time high globally this year! So this International Coffee Day, @rajanpatel and I tried to level up our barista skills using Search Live ☕️ We had it talk us through the pour step-by-step, then showed what we made for some real-time (and very honest) critique. Turns out making a tulip latte is harder than it looks 😅 Try it for yourself and ask Search anything.