@jamie247 I suppose this information can only be verified by the Ocean team? It would be important to know how many “unsold” tokens are still held above the market, so that the FET ( and the Ocean) community/project can look ahead with more clarity.
@mckaywrigley What about building decentralized AI agents on the @Fetch_ai network. Combining GPT-4 (as a interface) these agents can transact real value p2p without intermediaries.
@jamie247 LLM like ChatGPT can only be done by a few cooperations (Microsoft/OpenAI and Google). There is @StabilityAI from @EMostaque that are also building LLM, the difference is that they’re building it opensource. It would be powerful if @Fetch_ai can collaborate with them, both in UK.
I'm super excited the capabilities this will enable. Embedding AEAs into edge devices to publish data into IOTA Streams channels has limitless applications for secure, P2P, decentralized data sharing and application development. The future is shaping up brighter every day.
@Santiag78758327@LynAldenContact@starkness@Fetch_ai@Coil@quantnetwork The intersection of m2m and h2h transactions is interesting. The boundary is often that the mental cost of a transaction is higher than the micro transaction in it self. @Fetch_ai it’s autonomous agents can take the burden of the mental cost away by transacting on your behalve.
@demirelo@Fetch_ai AI-powered dapps running DeFi is one of the many verticals that they are focusing on. Agents are Interoperable on different chains. Would be cool to see agents on behalf of $AVAX users that for example run their trading strategies by auto-executing trades, arbitrage etc.
@demirelo It’s going much further than just using multi agent systems for simulation in DeFi. Using autonomous agents in behalve of the user, it can act and protect an user in real-time in DeFi and that all in a sovereign way.
Recommend you to check @Fetch_ai
https://t.co/bzSfVeeyIe
The v1. @fetch_ai Stop-Loss agent protects against price movements but not rug pulls or hacks.
How to stop those?
- tx simulation and then front-running the attack is simple.
- harder (but better) is to identify vulnerabilities in advance using #AI
(stay tuned!)