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MCP is bloated AI hype that basically solves nothing (the Langchain of 2025!). Typical tooling on top of tooling and the quintessential case of a problem lookin
by dvt 1y ago
MCP is bloated AI hype that basically solves nothing (the Langchain of 2025!). Typical tooling on top of tooling and the quintessential case of a problem looking for a solution. It's absolute garbage from just about any standpoint: architectural, security, elegance, etc. But my main point is that it solves nothing and there's nothing novel here. It's APIs talking to APIs that talk to other APIs. Wow, groundbreaking!
I genuinely believe that there will be (and potentially already are) use-cases when it comes to AI agents, but we really to step back and re-think the whole thing. In the middle of writing a blog post about this, but I really do think genAI is a dead-end and that no one really wants to chill out for a second and solve the hard stuff:
- Needle in a haystack accuracy
- Function calling (and currying/chaining) reliability
- Non-chat UI paradigm (the chat-box UI is a dead-end)
- Context culling (ignoring non-relevant elements)
- Data retrieval given huge contexts (RAG is just not good enough)
- Robotics
- Semantic inference
Like, I get it, it's hard to come up with new ways of solving some of these (or bringing them up from ~50% to 90% accuracy), but no one's going to use an AI agent when it confidently fakes data, it doesn't remember important stuff, or you gotta sit there and tweak a prompt for 30 minutes.
- kanwisher 1y agoMCP is pretty awesome for linking tools to LLMs with each not knowing about each other in advance. Coolest is linking a decompiler with MCP and then LLM then requests to decompile specific functions and give explanations of the assembly code https://www.youtube.com/watch?v=u2vQapLAW88 https://www.youtube.com/watch?v=u2vQapLAW88