🚀 #GateNewbieVillageEpisode5 ✖️ @Surrealist5N1K
💬 Stay clear-headed in a bull market, calm in a bear market.
Share your trading journey | Discuss strategies | Grow with the Gate Family
⏰ Event Time: Nov 5 10:00 – Nov 12 26:00 UTC
How to Join:
1️⃣ Follow Gate_Square + @Surrealist5N1K
2️⃣ Post on Gate Square with the hashtag #GateNewbieVillageEpisode5
3️⃣ Share your trading experiences, insights, or growth stories
— The more genuine and insightful your post, the higher your chance to win!
🎁 Rewards
3 lucky participants → Gate X RedBull Cap + $20 Position Voucher
If delivery is unavailable, th
Exploring ACP: How the New Protocol Launched by Virtuals Coordinates Agents? Author: Delphi Digital Compilation: Felix, PANews (This article has been edited) The battle of AI models is intensifying. Every company is striving to make its large language model (LLM) the next champion. But the key question is no longer which company's model technology is superior, but how to leverage these models to drive meaningful and tangible impact. The answer lies in autonomous, specialized AI agents. The ChatGPT Agent released by OpenAI is an early indication of the agent economy entering a phase of maturity. Currently, most agents are still single-purpose tools, but we are about to see them form interconnected clusters, enabling complex collaboration. In the encryption field, amidst the 2024 AI agent token craze, hundreds of projects promise to offer complex, general AI agents, but most have "stagnated." A sustainable agent economy requires specialization rather than generalization. Just as the internet thrives on interoperable protocols, the agent economy also needs standardized approaches.