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Patterns and problems in multiagent systems Anthropic

Models are improving and AI agents are taking on more tasks in shared codebases, markets, and other social systems. As a result, an increase in real-world interactions between agents is imminent. We've already begun studying this, but still have a lot of uncertainty...

A Six-Step Framework for Auditing Enterprise AI Agents | HackerNoon

he pattern repeats across large companies. A year of enthusiasm produced agents everywhere. One team built an agent to summarize tickets. Another built a near-identical one. A third wired an agent into a workflow, shipped it, and moved on, and now nobody owns it. Each...

Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things

Friday’s big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab. I’ve been looking forward to this one: 27B is an excellent size for running a model on a reasonably specced laptop, and its predecessor Qwen...

Fish Food 700: Thinking (and working) in loops

In early June Peter Steinberger, the developer behind OpenClaw, posted (on X, but I’m not linking to X) something which seems to have changed a lot of influential people’s approaches to working with AI. ‘Here’s your monthly reminder’, he said, 'that you shouldn’t be...

FinTech Navi Targets $2 Billion Valuation in India IPO

Enterprises are realizing that renting the same general-purpose artificial intelligence model as every competitor is a losing strategy. Prompting the same closed system erases any edge, and every query hands proprietary business data to an outside AI lab. Running that...

A Home for Personal Context – O’Reilly

Every agent I use is building a model of me. Claude has learned how I like my prose. ChatGPT remembers what I’m working on. I don’t mind this—every person I have a relationship with carries a model of me in their head, and every company I do business with keeps a...

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