▲ | magic_hamster 17 hours ago | ||||||||||||||||||||||||||||||||||
There are pretty hidden assumption in this comment. First of all, not every business in the AI space is _training_ models, and the difference between training and inference is massive - i.e. most businesses can easily afford inference, perhaps depending on model, but they definitely can. Another several unfounded claims were made here, but I just wanted to say LLMs with MCP are definitely good enough for almost every use case you can come up with as long as you can provide them with high quality context. LLMs are absolutely the future and they will take over massive parts of our workflow in many industries. Try MCP for yourself and see. There's just no going back. | |||||||||||||||||||||||||||||||||||
▲ | ramoz 17 hours ago | parent | next [-] | ||||||||||||||||||||||||||||||||||
LLMs with tools* MCP isn’t inherently special. A Claude Code with Bash() tool can do nearly anything a MCP server will give you - much more efficiently. Computer Use agents are here and are only going to get better. The conversation shouldn’t be about LLMs any longer. Providers will be providing agents. | |||||||||||||||||||||||||||||||||||
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▲ | dontlikeyoueith 17 hours ago | parent | prev [-] | ||||||||||||||||||||||||||||||||||
> I just wanted to say LLMs with MCP are definitely good enough for almost every use case you can come up with as long as you can provide them with high quality context. This just shows you lack imagination. I have a lot of use cases that they are not good enough for. |