a4sx lab

Latest posts

• One agent can't hold a whole platform. So we're building a mesh that learns who knows what. 2026-10-21
  Where our agent-mesh work stands: a local mesh measured from 2 to 128 agents, a knowledge-mesh design inspired by memory, and a first simulation with scripted agents.
• Germany's AI asset is its knowledge. "Open your data" won't unlock it. 2026-10-20
  Jensen Huang is right that Germany's knowledge is its most valuable AI resource. The Chancellor's appeal to companies to open their data won't unlock it. Here is why, and what can.
• Is git our bottleneck? Anthropic's source-control post, read from a small agent shop 2026-10-20
  Anthropic moved off git for agent-scale development. Our numbers say our bottleneck is landing, not git itself, and that we can fix it on git today.
• China's micro-drama boom is already trading prompt know-how 2026-10-14
  In China, AI micro-dramas spawned a market in courses and exact prompts. What the numbers support, what they don't, and why the full session is worth more than the last prompt.
• What it takes for a small German company to sell software outside Germany (and why we said no to most of the world, for now) 2026-10-14
  We tried to open {brand} beyond the EU. VAT regimes, US state nexus, sanctions, Stripe's limits and Terms churn followed. What we hit, what we decided, and why most of the world stays closed.
• Agentic genetic programming needs a world to fail in 2026-10-12
  A model proposes the change, a fitness signal keeps the winner. Such a loop is only as good as the world that scores it, and a producing organisation needs a simulated one first.

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Mesh Lab

An interactive look at how agents in a mesh find out who knows what.

Open Mesh Lab