Capital de Tokens
August 23, 2026

The agents’ chain of contagion #Shorts

What if the greatest danger of connecting agents wasn’t that they fail, but that they spread the failure? A2A can allow one agent to delegate a task to another, and for that second agent to consult a third. That makes integrations more seamless, but it also creates a delegation chain. Imagine that an agent receives a malicio

#Shorts
August 23, 2026

When a Bad Instruction Becomes a Real-World Action

The news about Grok is important because it turns an abstraction—prompt injection—into an easy-to-understand scenario: an apparently harmless web summary, an encrypted block invisible to the filter, and data quietly sent out. But the most useful conclusion isn't “don't use Grok” or “don't use AI.” It's demanding

#Shorts
August 23, 2026

AI Is No Longer Chosen for Its Fame: It's Chosen for Its Results

The news isn't that DeepSeek has won a definitive race. It's that it has made the race much more uncomfortable for those who charged as if there were no alternative. And for people who use AI, the lesson is more useful than any headline: don't choose a model based on fame or a leaderboard. Test it where it really

#Shorts
August 23, 2026

A2A vs MCP: the key difference between agents and AI

Is A2A the same as MCP? No. They seem similar because both try to organize an AI ecosystem that was growing through improvised connectors. But they cover different layers. MCP, the Model Context Protocol, is mainly used for an application or agent to connect with tools and data sources: a database, a calendar, a code repository, a ticketing system. A2A, by contrast, is geared toward conversation between relatively autonomous agents. It doesn't tell an agent how to use a spreadsheet; it provides a common way to ask another agent to handle a task. The difference may seem technical, but it has practical consequences. MCP is like connecting a tool to an employee. A2A is like coordinating specialized employees who don't necessarily belong to the same team.

#Shorts