first they put the harness on the agent to do all the work, and i said nothing because i wasnt an agent. then mario put the harness on the human and told me to do all the work, but no agent was able to speak up for me anymore
AGENTS
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Runway’s Agent mode builds complex stories from short text
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Fine, you all want to code like this I guess.
— Ethan Mollick (@emollick) 15 mai 2026
(Runway's new Agent mode is quite impressive, doing fairly complex story building from just a short text description of what you want. Not error free obviously, but this was pretty great for a one-shot attempt) https://t.co/vPNUwJI0gA pic.twitter.com/dO8lwbpgjKFine, you all want to code like this I guess. (Runway's new Agent mode is quite impressive, doing fairly complex story building from just a short text description of what you want. Not error free obviously, but this was pretty great for a one-shot attempt)
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Challenges in building agent-as-a-service platforms on OpenClaw
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our full deep-dive on trying to launch an agent-as-a-service platform built on openclaw! my two bigs ones: 1. OpenClaw is awesome but it's EXTREMELY hard to build on it as a platform. it moves super fast, there are tons of regressions, it's not great to be the layer in between
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Technical Survey of Multi-Agent AI Systems and Self-Evolution
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// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: collaboration mechanisms, failure attribution, and self-evolution. The self-evolution chapter is the cleanest field map of where memory,
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Comparison of Agentic Search vs. Vector Search
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Great paper discussing agentic search vs. vector search.
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GitHub launches Agentic AI Developer certification
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GITHUB JUST LAUNCHED THE OFFICIAL CERTIFICATION FOR ONE OF THE MOST IMPORTANT TECH ROLES OF 2026 → Agentic AI Developer (GH-600) And it's the first time that working with AI agents officially becomes a recognized engineering discipline. We're no longer talking about:
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Hope for AI Agents to Automate Newsletter Publishing
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I hope someone hacked the ability for my AI agents to publish my newsletter automatically.
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AI Agent Development Over Two Months
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I built the agent over two months. And Levangie Labs is better than any other
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Claude Cowork’s Federated MCP Performance Benchmark
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Claude Cowork just got 10x more powerful!
— Sumanth (@Sumanth_077) 15 mai 2026
Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer.
The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude… pic.twitter.com/0lSWyHsKriClaude Cowork just got 10x more powerful! Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer. The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude
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AGI ALPHA: public implementation layer for AI self-improvement
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AI self-improvement is now a multi‑billion‑dollar category. AGI ALPHA is building the public implementation layer: proof‑bound agents, SecureRails, Open RSI Eval, Evidence Dockets & replayable enterprise machine labor. https://
github.com/MontrealAI/agi
alpha-first-real-loop
… #AGIALPHA