Why AI Agents and Infrastructure Are Leading the AI Narrative
If you’re wondering why AI agents are gaining momentum while other AI coins stall, here’s the big picture:
It’s about giving a brain (any LLM like ChatGPT, Grok, or Gemini) a body to control (frameworks like @ai16zdao’s ElizaOS).
1. From Chatbots to Actionable Entities
Early days: Basic chatbots posting tweets (e.g., @truth_terminal).
Now: Advanced agents like @aixbt_agent pull real-time data, analyze markets, and generate actionable reports.
2. Autonomous Financial Agents
Example: Agents like @AROK_VC act as AI VCs, autonomously managing investments.
With wallets in Trusted Execution Environments (TEEs), agents can:
Launch presales
Disburse tokens
Operate without human intervention (e.g., @aipool_tee).
3. Comprehensive Data Analysis
Example: @_AgentScarlett combines data from Twitter sentiment, blockchain activity, GitHub updates, and more for deep token analysis.
Endless possibilities:
With evolving frameworks, agents are gaining new capabilities daily—from:
Creating NFTs
Managing treasuries
The Bottom Line
When you combine powerful LLMs with flexible, evolving frameworks, the potential is limitless.
An AI supercycle on the horizon? 🚀
– Marc