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Source: [Hacker News](https://arxiv.org/abs/2607.11250)
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How to Build a Crawl Budget That Keeps AI Agents Fast and Predictable
AI agents often begin with a deceptively simple web-access loop: take a URL, fetch it, extract text, and pass the result to a model. That loop works in a demo. In production, it can become a source of latency spikes, runaway costs, repeated requests, and inconsistent evidence.
Claude Is Painful
I cannot be the only person who feels this way. Claude is antogonistic and frankly an absolute nightmare to use. SLOW is an understatement...
One token is enough: fingerprinting LLMs from one token output distributions
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Is your agent's grep tool a shell command?
When you give an LLM a tool, you hand it a real function and let it choose the arguments. Those tools are everything your agent can do to a real system: read a file, write to your database, send an email, run a shell command, delete data. They are your risk surface, and most teams have never lo...
Build a Pear Protocol DeFi trading agent with MCP
If you want an AI agent that can actually trade , not just chat about charts, the Model Context Protocol (MCP) is the cleanest way to wire a model to a real exchange. This post builds a Pear Protocol DeFi trading agent: one that can browse pair markets, read your positions and portfolio, and (wh...
Your AI Ham Radio Buddy
AI chatbots are everywhere these days, and they seem to “know” about everything.