HN user
Nobody is accusing them of making the models more efficient.
People are complaining they are changing how many tokens you get on a subscription plan.
Why would anyone dislike getting more service for less (or the same) amount of money?
The next generation on humans growing up with TikTok autogenerated AI videos written by ChatGPT, generated by Sora and uploaded to the web using OpenClaw or whatever automation tool you wrote using Claude Code.
There are literally people running bots creating such shortform videos as we speak.
And there are millions of kids (and adults) scrolling those same videos as you reading this.
Let that sink in.
"distributed neural network" is just AI-bro speak, most likely generated by an LLM.
So I would just ignore that whole comment.
What you said is the truth.
Cheap, efficient, fast manufacturing process. I am a software dev, I happen to have worked with Chinese software APIs related to manufacturing and logictics. Move fast and ship broken stuff on monday, and forget to fix it - that is the reality, but somehow people expect they maintain some level of quality now.
Just try working with products like TikTok, their APIs and documentation, the endless headache you will get will show you how they do itterate, but quality is still only barely a factor.
The reason why they do not expose the underlying server schema, is because you aren't supposed to write your own MCP server from zero, in the same way you aren't supposed to write your own GraphQL Server from zero.
Yes, technically you could, but you are "supposed" to just use a library that builds the actual endpoints based on the schema for the version of MCP you are using. And only worry about building your tools, to expose them to a LLM, so it can be consumed (LLM function calling, but with lots of abstractions to make it more developer friendly)