day 3 : crypto x ai agents

ai agents, in general

definition :

In artificial intelligence, an intelligent agent (IA) is an agent acting in an intelligent manner; It perceives its environment, takes actions autonomously in order to achieve goals, and may improve its performance with learning or acquiring knowledge. An intelligent agent may be simple or complex: A thermostat or other control system is considered an example of an intelligent agent, as is a human being, as is any system that meets the definition, such as a firm, a state, or a biome.[1]

examples for AI agents

1. west world — Researchers from Stanford and Google created an interactive sandbox environment with 25 generative AI agents that can simulate human behavior. They walk in the park, join for coffee at a cafe, and share news with colleagues. They demonstrated surprisingly good social behaviors:
2. CAMEL — (Communicative Agents for “Mind” Exploration of Large Scale Language Model Society) proposes a role-playing agent framework where two AI agents communicate with each other: 1) AI user agent: give instructions to the AI assistant with the goal of completing the task. 2) AI assistant agent: follow AI user’s instructions and respond with solutions to the task. 3) task-specifier agent: there is actually another agent called the task-specifier agent to brainstorm a specific task for the AI user and AI assistant to complete. This helps write a concrete task prompt

without the user spending time defining it. use cases can be : making a game

A community of devs builds camel implementations: https://www.camel-ai.org/

implementation : http://data.camel-ai.org:8081/

3. baby agi — The key feature of BabyAGI is just three agents: Task Execution Agent, Task Creation Agent, and Task Prioritization Agent. 1) The task execution agent completes the first task from the task list 2) The task creation agent creates new tasks based on the objective and result of the previous task. 3) The task prioritization agent then reorders the tasks. And then this simple process gets repeated over and over. The potential for applications of BabyAGI is also immense! We can just tell it an objective and it will execute for you. The only thing I think it’s missing is an interface to accept user feedback. For example, before BabyAGI makes an appointment for me, I’d like it to check with me first. use cases .

why crypto

In this context, programmable money takes on a fresh perspective. Typically, agents leverage all accessible resources for enhancement. However, a lot of information remains beyond the web’s reach. Cryptocurrencies can incentivize individuals to undertake actions and bring hidden information to the forefront. Here are some agent categories to consider:

1. Enhancing Protocol UX: Think of a Layer 2 (L2) solution with a clear aim — encouraging user migration to its platform. The agent explores various strategies, such as offering referral bonuses or directly compensating users who make the switch. This model can be replicated across other cryptocurrency protocols.
2. Profit-oriented Agents: These agents are designed to generate revenue while refining their primary function. For instance, they might produce and auction digital art. Another idea is an agent that crafts AI personalities and collaborates with partner technologies to monetize them, among other potential applications.

platforms for creating crypto ai agents

1. https://docs.relay.cc/about — enabling protocols to replace customer support with ai agents and connect ai agents to their smart contracts to extend functionality and improve UX.
2. autonolas — https://www.dappcon.io/livestream ( 6:29) — olas is building a way for developers to build off and on-chain on top of environments like langchain and connect them to gnosis safe and other smart contracts

Existing use cases for AI agents x crypto :

1. https://hell.zkpod.ai/
2. https://contribute.olas.network/ — dao members get points for stuff they do on chain ,this points translates into a dynamic nfts. agents use llm to score this contribution , the agents approve the content quality
3. prediction market agent — the agent searches the web to get data , then placing bids in a prediction market about the future .
4. governatoor-
5. mech — Any autonomous agent or bot that runs off-chain, executes AI tasks and holds a wallet for signing transactions.
6. el collector — El Collectooorr aims to autonomously create collections of NFTs by minting them as they drop on Art Blocks. It uses complex logic to decide which mints to participate in and what prices to bid at, so users don’t have to.

future use cases

people in AI agents

• noncrypto:
• https://twitter.com/sophiamyang
• https://twitter.com/guohao_li
• https://twitter.com/itanih0 — https://www.camel-ai.org/
• https://twitter.com/hammh0a
• crypto :

-https://twitter.com/valoryag/status/1674074637196558338

links :

• https://towardsdatascience.com/4-autonomous-ai-agents-you-need-to-know-d612a643fa92–4 non crypto apps
• https://rdi.berkeley.edu/events/decentralizationaisummit — ai x crypto
• westworld agent game — https://github.com/joonspk-research/generative_agents
• why crypto — https://www.coindesk.com/consensus-magazine/2023/08/01/how-ai-web3-and-humans-can-work-together-to-solve-complex-global-problems/