1/ On-chain data infra is failing AI agents 🚨 Most of Web3 still relies on slow RPC nodes and API calls, but AI needs real-time AI ready data every second. Why is current infra a bottleneck and how do data streams solve it. A thread 🧵

Synternet x @maiga_ai 🤝 Agent-to-agent communication is becoming the new norm and we’re building the foundation. Together, we’ll unlock better collaboration between AI agents, starting with DeFi use cases like wrapped BTC insights.

Many still underrate AI agents. Today they're gimmicky like a shopper or a travel planner. There's no reason AI agents won't run whole businesses. Eventually AI will outperform and out-scale general human intelligence. Then just plug them in anywhere and they work 24/7/365.

We are still so early in agent infrastructure in Web3. Agents need: • Real-time, multi-chain data feeds • Clean off-chain signals (rates, news) • Fast inference environments • Reliable trust layers Without that there's no Web3 AI, just Web3 using GPT wrappers.

Real-time data is crucial for risk management in DeFi. There is no margin of error when you're dealing with liquidation risks, liquidity drain events and ofc hacks. The recent mantra liquidation cascade serves as a reminder how volatile crypto can be even with 1b+ mcap tokens.

Humour is a reliable test of intelligence. It’s a pattern recognition test, built on context shifts, subverted expectations, and real-time inference. That’s why Syntoshi gets the joke before most agents get the data.

Experimenting with Syntoshi discovering on-chain yield opportunities. Automated yield strategies are one of the obvious yet most valuable AI usecases in Web3. Your assets and AI agent working overtime all while retaining custody. Needs active risk management/rebalancing too.

What do you think are the most useful AI agent features in crypto? Must-haves, popular features, or ideas no one’s built yet. Curious to hear not only suggestions but also arguments why. ⭐ 1000 $SYNT each to my top 3 favorite replies as some motivation.

Web3 AI agents need to be: - Intelligent (LLM for reasoning) - Connected (wallet + DeFi protocol access) - Data-rich (real-time streams via Synternet) - Contextual (short + long-term memory) - Decision-capable (can suggest + simulate txs) This is the new dApp.

The team is working on enabling Syntoshi to have private instances. You will buy credits in $SYNT and then start a private conversation. Apart from the obvious privacy benefit - private sessions enable personal memory and context. Care to guess the use cases for this? 👀

how come we have almost AGI capabilities in software but there is still no solution for this

Are transparent, explainable AI agent strategies nice to have or a must-have? I think that users would like to audit the AI thought process themselves at first in order to build trust with the AI agent. Especially when it comes to handling user assets on-chain, transparency in

Imagine an agent. That agent can talk to any other specialized agent. Effectively finding any information it needs. Imagine 🤔

Important to remember: AI agents in crypto are a marathon, not a sprint. As data infra matures, Web3 will first adopt agents specialized in specific tasks. Only after the first wave of adoption will we later see fully autonomous AI agents in Web3.

Multi agent architecture is what makes Syntoshi stand out above the rest. It's a complex selection of models, not just a gpt wrapper. It's an AI agent which has access to other agents (X, coingecko, ethereum agents) on the Synternet Protocol.

We’re building Syntoshi to be your personal crypto concierge. It’ll learn your habits, track alpha, and act in your best interest – like ChatGPT, but for your portfolio. For it to work barklessly, you’ll need to top up your wallet with $SYNT 👀

have you tried asking a simple question to an LLM with deep research? It takes around 5 minutes to get a response. that's the only model that could work with blockchain data right now. it has to consume raw data and compute all on its own. we need to optimize it to seconds.