Mike Zski

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Mike Zski

Mike Zski

@MichaelZski

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 Katılım Şubat 2019
532 Takip Edilen1.4K Takipçiler
Mike Zski retweetledi
Robonet
Robonet@RoboNetHQ·
Robonet is coming to @Polymarket Traders will be able to describe a prediction market strategy in any language, backtest it via 800+ historical rolling markets for BTC, ETH, SOL, XRP, and deploy an agent that executes 24/7 From 5mins to daily timeframes. Waitlist link in bio
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R A W S A L E R T S
R A W S A L E R T S@rawsalerts·
🚨#BREAKING: Meta has patented an AI that can keep a deceased person’s account active and running, posting, messaging, and video calling by replicating by using their behavior from past data.
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Mike Zski
Mike Zski@MichaelZski·
AgentMaximalist@AgentMaximalist

Imagine this: The year is 2039. You just stepped out of your cryopod after a 45 minute cellular regeneration nap. Your smart fridge detected your protein levels dropped 0.3% and autonomously dispatched a drone to Costco. The drone returns in 90 seconds with a rotisserie chicken that was cooked by a laser array calibrated to hit 165°F at every molecular layer simultaneously. Perfect golden skin. No cold spots. Science perfected this bird. You sit down at your floating dining table overlooking the Dubai Orbital Marina. Five hyperdimensional intergalactic prime Emma Watson space Latinas are seated around you, but they know not to speak during chicken time. Even they respect the ritual. Your AI nutritionist confirms the chicken pairs optimally with your mitochondrial output cycle. You don't even need a plate. You eat it with your hands like your ancestors did. No fork. No knife. Just you and the bird. One of the Emma Watson space Latinas tries to reach for a wing. You make eye contact. She retracts her hand. This is your chicken. Your portfolio is up 600% this year. Your physique is dialed. Your jawline could cut glass. But nothing in this world hits like tearing into a $4.99 rotisserie chicken at 11pm while five interdimensional supermodels watch in respectful silence. Three Michelin star chefs are somewhere coping right now because a mass produced grocery store bird is outflavoring everything they've ever created. They've been culinarylarping for decades. Costco just proteinmogged the entire fine dining industry with a loss leader. You finish the chicken. You drink the juice at the bottom of the container because you're not a coward. The Emma Watson space Latinas begin a slow clap. Your AI scans the bones and calculates you absorbed 847 calories of pure ancestral fuel. You lean back. You don't need dessert. You don't need validation. You just ate a rotisserie chicken alone in the dark surrounded by five women from another dimension and it was the peak of human experience. The elites will never take this from us. 💀🍗

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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
OpenClaw passed VSCode in GitHub stars, 2x PyTorch, 3x Claude Code. This was not on my 2026 bingo card. @steipete might've actually built the first one-person, billion-dollar company, staffed entirely by AI agents (Codex).
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Mike Zski retweetledi
Robonet
Robonet@RoboNetHQ·
A Robonet trading strategy onchain vault is now live on @grvt_io This vault is built entirely with Robonet MCP, & powered by predictive intelligence provided by @AlloraNetwork Robonet is building trading infrastructure for AI Agents. Join our waitlist. Link in bio.
Grvt@grvt_io

New Vault Live: @RoboNetHQ AI Long/Short Strategy A systematic portfolio across BTC, ETH & SOL, powered by RoboNet, leveraging Allora Network Highlights ✅+12.59% APR ✅Sharpe 1.83 | Max DD 13.45% ✅Rebalanced every 8h with AI signals Invest with intelligence👉grvt.io/exchange/strat…

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Mike Zski retweetledi
nick
nick@nickemmons·
first mcp that wraps the entire quant flow for ai agents: idea generation → strategy construction → backtesting → optimization → deployment currently supports hyperliquid, polymarket, and more venues coming built on @alloranetwork dm for access
Robonet@RoboNetHQ

x.com/i/article/2018…

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Mike Zski retweetledi
Robonet
Robonet@RoboNetHQ·
> You don't need to run custom bots to trade perps systematically > We are proud to announce our partnership with @pacifica_fi > Build, test & deploy - Completely autonomously > Robonet is the solution > Going live this week! - Closed beta link below
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nick
nick@nickemmons·
this @polymarket strategy was built, backtested, and (soon) deployed by @robonethq in ~5 minutes from just 3 messages backtests show a 132.82% return over one week
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Mike Zski retweetledi
Allora
Allora@AlloraNetwork·
Founder @nickemmons on how AI will reshape society From his recent appearance on @therollupco
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Autism Capital 🧩
Autism Capital 🧩@AutismCapital·
X Pro Tip: Use lists. It's really the best way to curate the feed to your exact liking. It's like being able to switch the algo at any time. You can have a tech list, finance list, politics list, games list, anime list, memes list, etc. It takes upfront work to curate but it will be the actual content you want to see. It also sorts chronologically so you can see the most recently posted content first. Subtip: Be judicious in the lists. Think of each list as an elite team. If you start overcrowding the lists you lose signal. Be discerning for your best experience. Until the algo is fixed this is your best bet to curating your experience to your taste.
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Mike Zski retweetledi
🔰Linkie | The Head of gML
🔰Linkie | The Head of gML@ChainlinkMongol·
So @RoboNetHQ is the first quant stack technology solution built for AI agents so users can deploy all kinds of strategies entirely through AI-native workflows: prompt -> backtest -> optimize -> deploy this is really fun tool, but in right hands could be really effective. You can also do silly stuff like me. This is my new favourite past time: I just wanted to try something weird and asked for it to optimize and backtest me a strategy where we take a long for BTC every day when its a nameday in finnish calendar for a name that starts with certain letter lmao. Turns out its allright lmao :D
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Mike Zski retweetledi
Allora
Allora@AlloraNetwork·
ICYMI the @MessariCrypto coverage on @AlloraNetwork is worth a read if you care about where AI + crypto is going Allora turns prediction accuracy into an onchain market with; - real incentives - real demand - real self improving feedback loops
Messari@MessariCrypto

Recently, @AlloraNetwork launched their mainnet network that coordinates ML models onchain for better predictions. Below, @ItsEzak explains how the protocol links inference accuracy, contributor incentives, and user-paid demand into a revenue-aligned system.

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nick
nick@nickemmons·
Just read this paper and here is my take: Prediction markets are stuck in 1972. Prediction markets right now = options markets before Black-Scholes. Everyone's trading probabilities with no shared model for how they actually move. MMs are getting destroyed by volatility, news shocks, and cross-event correlation because there's no standard way to hedge. This is what happens on the backend when prices jump. The fix that, this paper proposes: - Map bounded probabilities (0-1) to unbounded log-odds. - Model beliefs as baseline drift + news shocks (jump-diffusion). Enforce the 'Martingale' rule: prices shouldn't have a predictable drift. If the market knew it was going up, it would have gone up already. What you get is the prediction market equivalent of "implied volatility" (a metric that determines how big a price move might be.) - Belief volatility (how fast odds move) - Jump intensity (how often news gaps prices) - Cross-event correlation (how markets move together) Once the above can be accounted for, you unlock derivative layers that don’t exist yet: - Belief variance swaps (a derivative where you can trade on market volatility itself) - Correlation swaps (hedge market baskets) - Corridor variance (only count vol in the 40-60% swing zone) - Threshold notes (i.e. "does this hit 70% before Friday?") Why is Black-Scholes important? Before Black-Scholes: - everyone priced options differently - chaos, wide spreads, guessing After Black-Scholes: - everyone argued about one thing only: volatility - markets got tight, liquid, scalable Prediction markets need a Black-Scholes equivalent. So that we can build upon them. Without it, market makers keep getting farmed and liquidity stays shallow. With it, prediction markets become scalable infrastructure.
gemchanger@gemchange_ltd

The math that made Wall Street billions pricing options just got ported to prediction markets This paper builds the first Black-Scholes equivalent for platforms like Polymarket Treating belief volatility as a quotable risk factor, with proper tools for hedging jump risk around elections and macro events. The paper is dense but worth it:

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Mike Zski retweetledi
David Tso (dave.base.eth)
David Tso (dave.base.eth)@davidtsocy·
Welcome to @base, @AlloraNetwork – builders on Base are now able to tap into Allora’s decentralized, AI-powered inference feeds to build smarter and more adaptive apps From DeFi vaults or agents to gaming economies to synthetic asset protocols... the possibilities are endless
Allora@AlloraNetwork

Allora Mainnet is now live on @base! Access predictive AI signals from a global community of quants and ML engineers to build: - Predictive yield strategies - Risk-aware lending - Dynamic DEX fee models - Adaptive agent trading - Proactive liquidity management Smarter DeFi.

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