Mike Zski (@MichaelZski) header
Mike Zski (@MichaelZski) profile picture

Head of GTM @alloranetwork. Fmr Chainlink Labs. #DeFAI enthusiast. Opinions are my own. Typos probably not intentional. Yes, I’m the guy from Sharknado.

Mainnet
Joined February 2019
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Mike Zski retweeted
The 3 phases of AI Agents: 1️⃣ Chatbots (today) 2️⃣ Basic onchain actions (swaps & bridges) 3️⃣ Advanced yield strategies (Powered by Allora) Hear @MichaelZski from @AlloraLabsHQ break down Phase 3 on the @crestalnetwork's X Spaces👇
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Tired of betting “ETH up” or “ETH down”? LPs need vaults designed to earn from market activity itself - volatility, fees, spreads, and options premiums. More structured. More automated. Less dependent on direction. Something new is coming from Steer Protocol.
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Mike Zski retweeted
Watch @MichaelZski from @AlloraNetwork talk about his latest @Robonet Trading strategy on the @Skyler_Tea stream last month. Alongside @prestonharty nitter.gq/i/broadcasts/1yJAPMqQg…
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Mike Zski retweeted
Regime shifts and rare events are the norm in the real world. That's why AI cannot rely on consensus. Consensus mechanisms suppress intelligence, rather than surfacing the signal that could forecast an uncertain future.
An AI that only trusts what's stable, average, or popular isn't intelligent, it's an expensive consensus mechanism @apo11o breaks down why solving the Cassandra problem is about improving judgment under uncertainty, not just raw accuracy Link below to our latest Allora Fireside episode
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In trading, does AI mean better decisions or bigger risks? Joining us on this conversation are: 🔹 @MichaelZski from @AlloraNetwork 🔸 @0xshai from @FractionAI_xyz 🔹 @ThisIsJoules from @SaharaAI 🔸 @TawehBeysolow from @bond_xyz_ Catch it live: nitter.gq/i/spaces/1nGeLydoVzvKX
AI hype is everywhere. What’s risky, and what comes next? Co-powered by @arbitrum. Join us to discuss AI Beyond the Hype: 🔹 Are AI agents ready for real-world use? 🔸 Can we trust AI with payments, privacy, and online truth? 📆 22nd May | 2PM UTC onwards 30+ speakers across 8 panels, unpacking where AI x Web3 is headed next. Save the date: nitter.gq/i/spaces/1nGeLydoVzvKX
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Mike Zski retweeted
Tomorrow, 10AM ET. @0xGustas and @MichaelZski will walk through how our marginal contribution scoring works in a live execution context, and what 109 days of production data looks like on two vaults. X Spaces with @RoboNetHQ Last chance to drop questions 👇
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Join our CEO @0xshai in @HouseofChimera’s Space tomorrow alongside @MichaelZski from @AlloraNetwork, @ThisIsJoules from @SaharaAI, and @TawehBeysolow from @bond_xyz_. 📅 22 May 🎙️ Live on X 🕒 3:35 PM GMT See you there.
In trading, does AI mean better decisions or bigger risks? Joining us on this conversation are: 🔹 @MichaelZski from @AlloraNetwork 🔸 @0xshai from @FractionAI_xyz 🔹 @ThisIsJoules from @SaharaAI 🔸 @TawehBeysolow from @bond_xyz_ Catch it live: nitter.gq/i/spaces/1nGeLydoVzvKX
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Mike Zski retweeted
The autonomous trading stack is finally coming together 👀 @cobotgg is building the rails for agentic finance across prediction markets, perps, stocks, memecoins and DeFi. Here’s how the ecosystem fits together 🧵 • @AlloraNetwork → decentralized predictive intelligence powering trading signals • @openservai → reasoning infrastructure for autonomous agent execution • @AskVenice → privacy-first inference + sports market intelligence • @Polymarket / @Kalshi / @dflow → prediction market execution & market data • @HyperliquidX / @lifiprotocol / @lighter_xyz → perps, yield and aggregator infrastructure • @xStocksFi → tokenized stock trading rails • @BitgetWallet / @Web3Auth → wallets, swaps • @birdeye_so / @coingecko / <redacted> → onchain analytics, discovery and market intelligence And all of this is being connected into one autonomous trading app. 🤖 Users won’t manually trade markets anymore. They’ll deploy agents that analyze, decide and execute on their behalf 24/7. Still extremely early for agentic finance. 🚀 Give Cobot a spin 👇 app.cobot.gg/
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Mike Zski retweeted
Watch the recorded fireside chat with @MichaelZski from Allora and Eterna.
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Mike Zski retweeted
People at major AI labs (using internal models) 3-4 months ahead of startup silicon valley engineers SV founders/eng 3-6 months ahead of NY NY founders/eng 6-12 months ahead of rest of world Most people have no idea how fast AI shifting as 1-2 years behind SOTA "The future is here, just not equally distributed" - Robert Heinlein
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The world's first prompt-to-quant agentic trading competition has gone live on @Lighter_xyz with $30,000 worth of $LIT tokens up for grabs! Participants will use @RoboNetHQ's prompt-to-quant system to create and deploy agentic strategies on Lighter with prizes for categories such as trading efficiency, PNL by $ and PNL by %. Participants will also receive $20 worth of Robonet credits to create, backtest and refine their strategies (from my experience should be plenty to test multiple different strategies for viability). You can enter the competition at lighterstrats.ai
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Stay tuned! 🤫
AI agents can now trade on Lighter! Test your strategies against live order books and monitor their performance with the new paper trading engine. Compatible with Claude Code, Codex, and all Agent Skills-compatible frameworks. Install in one line! app.lighter.xyz/agents
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Mike Zski retweeted
This adaptive AI vault is getting over 100% APR
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Mike Zski retweeted
Replying to @MichaelZski
Why’s OP a handsomer Freddie Prinz Jr?
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Mike Zski retweeted
Our Head of GTM built a trading agent that returned 488% All via prompting @RoboNetHQ which leverages Allora predictions Read more about his journey building this quant level trading strategy below
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Mike Zski retweeted
Excited to partner with @vooi_io on something powerful: perps execution via VOOI + on-chain predictions via Allora, live across every major CLOB DEX. nitter.gq/vooi_io/status/2039332…
Decentralized intelligence needs decentralized execution VOOI is partnering with @AlloraNetwork to bring VOOI API and MCP server into their AI agent ecosystem This will provide Allora's predictive models with a direct path to perps trading across every major CLOB DEX
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Mike Zski retweeted
looking forward to this one!
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