标签：AI
标签「AI」相关文章
MCP 到底是什么？从 AI 工具调用到 Agent 工作流，一文看懂 MCP
MCP 到底是什么？从 AI 工具调用到 Agent 工作流，一文看懂 MCP 如果你最近开始接触 AI Agent、Claude Code、Cursor 或各种 AI 编程工具，可能已经反复看到一个词： MCP。 很多人第一次看到 MCP 时，会把它理解成“给 AI 增加工具的插件系统”。 这个理解不能说错，但还不够准确。 更简单地说： MCP...
BrowserOS – "Claude Cowork" in the browser
BrowserOS neo is an open-source secondary browser built for AI agents and human-AI coworking, featuring live session monitoring, one-click MCP connectivity, and browser automation.
Research acceleration: The view inside OpenAI
Research acceleration: The view inside OpenAI Apparently today is RSI day at OpenAI, for Recursive Self-Improvement - I think it's their new AGI. Both this...
The purpose of DNS is to spread scams
The purpose of DNS is to spread scams Terence Eden shares some daunting statistics in support of his take that "the Domain Name System's purpose seems...
There's No Limit to How Bad Code Can Get
My comment on There's No Limit to How Bad Code Can Get — Lobste.rs. [...
Quoting Zach Kehs
If you continue to add floors and rooms to a building forever, it will collapse. Software faces no such constraint. The code can always get worse. There can...
Introducing GPT-6 Astra for developers
Introducing GPT-6 Astra for developers Blink and you'll miss it, but there's a familiar creature at 1m59s : ...
NeoMME: an efficient Multimodal-native and Multilingual Encoder
Technical article from Hugging Face: "NeoMME: an efficient Multimodal-native and Multilingual Encoder". Explores AI agents, machine learning architectures, and modern developer tooling.
Training a coding model to paint watercolours with TRL and OpenEnv
Technical article from Hugging Face: "Training a coding model to paint watercolours with TRL and OpenEnv". Explores AI agents, machine learning architectures, and modern developer tooling.
Give Your Coding Agents a Memory You Own
Technical article from Hugging Face: "Give Your Coding Agents a Memory You Own". Explores AI agents, machine learning architectures, and modern developer tooling.
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
Technical article from Hugging Face: "Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps". Explores AI agents, machine learning architectures, and modern developer tooling.
Real-Time Intelligence with IBM Time Series Models on Confluent
Technical article from Hugging Face: "Real-Time Intelligence with IBM Time Series Models on Confluent". Explores AI agents, machine learning architectures, and modern developer tooling.