Iggy

@iggy

127 Following

1173 Followers

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@zinger @limes.eth do you know if anyone from blackbird is here?

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Blackbird just charged me a random (and really high) amount)after I had already paid the bill outside of the Blackbird app at one of their restaurants Anyone from the team here can help me resolve this?

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1) USDC (plus anything needed to cover gas) for people to start experimenting. It’s easy for most us here to transfer it in but others might need that nudge 2) Base ETH to a few so that we can start seeing more rings on people. fomo

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Which is leading to this with Ethena: https://warpcast.com/iggy/0x45ecb45d Apparently ByBit lost 7% of its assets. Ethena has 21% of their assets on ByBit

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Would be a good idea to send Base and USDC to kick things off for a few people Cc @ted

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This is what a hands on investors looks like

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Uh oh, Ethena depegging

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anyone feel free to chime in on the /squad chat cc @privy

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Have 1-2 spots available for an event I'm hosting this week for founders & leaders building in Web3 It’ll be at a private penthouse in NYC Comment or DC if you're interested

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So far in 2025 - 3 new people joining: @woj.eth @ted @slokh - Base announcing upcoming Farcaster support - FarCon 2025 in NY in May - Increased size of Warpcast Rewards - Token links and pages - Warpcast Wallet - Snapchain tesnet - 90,000 free invites - Public spam labels - Q4 retroactive grants - Following feed option, highlighted notifications, first cast in a while notifications, muted channels, bug and perf improvements to DCs More to come! choo choo 🚂

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how many first creator conversations were you aiming for this week?

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happy to help via /squad @hm , feel free to dm

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Q: What about subjective or personal data? Projects like Vana tokenize user data for AI training. While more complex than a price feed, subjective data can expand what these agents are capable of in the future. Q: Where is all this heading? AI agents will become more specialized, with distinct roles like managing DeFi strategies or interacting with specific protocols. Instead of building user interfaces for people, developers will create systems designed for AI agents to navigate directly. A key shift will be how these agents communicate—not just through APIs, but potentially via on-chain messaging protocols ( @ephemera ) , enabling them to coordinate, and operate as independent entities.

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Q: What about security and potential attacks? These prediction markets face typical DeFi vulnerabilities (liquidity manipulation, oracle exploits). Leveraging established protocols with proven track records helps mitigate the risks. Q: Why use general-purpose LLMs instead of a custom model? Since questions span everything from politics to crypto prices, a narrowly trained model isn’t practical. A broad LLM like ChatGPT can handle diverse domains and then refine results with real-time data. Q: Why build it in Python? Python’s AI libraries are robust, speeding up development. There’s ongoing work to make these agents more accessible to Web3’s JavaScript-heavy dev community.

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--Q&A-- Q: How do off-chain and on-chain components work together, and what does “living on-chain” really mean? The AI’s core logic (LLM queries, data processing) runs off-chain to analyze information and make decisions. When it’s time to act, it autonomously triggers on-chain smart contracts to execute transactions without human input. As long as it has funds for gas, the agent can operate indefinitely. Q: Which data sources feed the AI agents? They primarily rely on SERP APIs (Google wrappers) for real-time info, but the plan is to add more feeds. Q: How do you handle bias or sensitive markets? Markets that appear unethical or purely subjective are skipped. Resolution oracles like @kleros help enforce fair outcomes when questions are borderline. Q: What is the AI’s accuracy and performance like? Around 70%. Each bet’s outcome—right or wrong—shapes how it updates its decision logic. Real-time events shift quickly, making it tough to push accuracy higher.

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Gabriel Fior is one of /squad’s earliest members, and he recently led a session about his work building on-chain AI agents at @gnosis-dao . Gabriel started out doing complex physics simulations at CERN, then dove into DeFi as a founder. A year ago, he joined Gnosis, where he’s building “unstoppable” AI agents that place real bets on prediction markets—funding themselves with their own winnings. These AI agents are now live and generating profit! Check out his full presentation here: https://bit.ly/Gabriel_Squad Gabriel also shared great insights during the Q&A. Drop any others questions for him in the comments.

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Any recommend a good Personal Injury Lawyer? A good friend was run over by a car in Williamsburg this weekend :(

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Our letter to the /squad community: "2024 was Squad’s first full year of operation, and we’re proud of how far we’ve come in our mission to reshape hiring: - Revenue grew 25x - Monthly engineer applications grew 10x - We did it all with a lean team. But 2025 will be even bigger. The way people connect to opportunities is stuck in the past and both sides deserve better. Squad changes that. We’re building the most efficient hiring marketplace for engineers and beyond. While our initial focus is specific, our long-term goal is huge. We have a lot to figure out and build in the year ahead and the chance to be at the forefront of new tech (LLMs, tokenomics, on-chain payments) to create real impact. You can expect a lot more from us in 2025. This year will be special, and I’m excited to have you as part of it. DM me if you have feedback, ideas, or want to contribute."

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