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Don't trust LLM research
How-ToMachine Learning

Don't trust LLM research

via Dev.toMateo Torres4h ago

I work at Arcade . Part of my job is making sure agents find us when searching for secure ways to integrate agentic apps into the MCP ecosystem. That makes me exactly the kind of person this post is about. I could play the game, write the "Arcade vs X" comparison posts, publish the rigged listicles, churn out the SEO slop that I'll describe below. I don't know much about SEO, but I do know what dishonest content looks like when I see it, and I'd rather talk about the problem honestly than contribute to it. Even if you're the most diligent researcher and you really go out of your way to assess every dependency and every tool in your code base, you can't realistically test all possible options if you want to do that within a reasonable time frame. This is especially true when AI agents are involved. And even more so for new tech like MCP and other agentic protocols. Your research capability is saturated by the ever-increasing number of tools and options, each of which have an army of age

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