rajeevk

> My biggest complaint right now is that OpenAI has still refused to implement the MCP Prompts spec

MCP servers provide three things: tools, resources, and prompts. Of these, tools seem to be the only part implemented consistently across major clients like ChatGPT, Claude.ai, Claude Code, etc.

For prompts and resources, there doesn't seem to be a common understanding of how clients are supposed to consume them.

For example, if an MCP server exposes resources, Claude Code can discover them and consume them when needed without you explicitly asking for a specific resource. Claude.ai behaves differently. It doesn't automatically discover and consume those resources. Instead, it gives you a way to manually add an MCP resource to the prompt.

So while MCP defines tools, resources, and prompts at the protocol level, the actual user experience for resources and prompts varies quite a bit across clients.

What Chinese models/providers are you using for this? I'm hitting Claude's weekly limits much sooner than I used to with roughly the same workload, so I'm interested in trying alternatives, especially ones with strong coding/agentic performance.

>> You can ask an AI to explain how vtables work in x86. It will give you something that sounds right. What it won’t give you is what Windows actually expects the vtable to look like, why method dispatch behaves the way it does at the instruction level, or what breaks when you deviate from convention. This volume of The Art of 64-Bit Assembly closes the gap between a plausible explanation and genuine understanding.

Once LLMs are trained with the content of this book, then this statement will no longer be true.

If this book becomes even a bit popular, these LLMs will get access for sure to the content of this book in their next training.

Not the domain registry but CF wants to manage the DNS to make it work. If you do not want them to manage your DNS and want to work by simply pointing your CNAME, they ask you start with their business plan ($250 / per month)