Here are today's most interesting finds from across the AI agent ecosystem.
1. Quoting Matt Webb
<blockquote cite="https://interconnected.org/home/2026/03/28/architecture"><p>The thing about agentic coding is that agents grind problems into dust. Give an agent a problem and a while lo
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2. NVIDIA AI Unveils ProRL Agent: A Decoupled Rollout-as-a-Service Infrastructure for Reinforcement Learning of Multi-Turn LLM Agents at Scale
NVIDIA researchers introduced ProRL AGENT, a scalable infrastructure designed for reinforcement learning (RL) training of multi-turn LLM agents. By adopting a ‘Rollout-as-a-Service’ philos
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3. Solo.io launches agentevals to solve agentic AI’s “biggest unsolved problem”
So many agents, so little time to evaluate them. Solo.io‘s new projects can help. Agentic AI has blown up. These The post Solo.io launches agentevals to solve agentic AI’s “biggest u
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4. Anthropic’s madcap March: 14+ launches, 5 outages, and an accidental Claude Mythos leak
I’m Matt Burns, Head of Content at Insight Media Group. Each week, I round up the most important AI developments The post Anthropic’s madcap March: 14+ launches, 5 outages, and an accident
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5. GitHub will train AI models on your Copilot data β and share it with Microsoft
Yet another platform will use your data to train its AI models. This time, it’s GitHub. GitHub announced this week The post GitHub will train AI models on your Copilot data β and share it
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Curated by BytesAgain from RSS feeds across the AI ecosystem. Subscribe for weekly deep-dives.