Multi agent systems

Oct 23, 2026

Self-replicating AI, your doctor’s chatbot & agents at dinner

A look at three developments shaping the near future of AI: Anthropic's research on small models that could copy themselves across cheap consumer devices, a JAMA study showing how doctors are adopting clinical chatbots for treatment decisions, and an experiment in which AI agents booked a founders' dinner and then networked with one another. The panel weighs security risks in the home, the trade-offs of speed versus verification in medicine, and how much autonomy agents should have when dealing with other agents.

Oct 18, 2026

Stop Telling Agents How — Dan Barrett, Raymond Weitekamp & Jose Montes de Oca, OpenProse

The OpenProse team presents a declarative approach to multi-agent workflows, where developers and domain experts write contracts in plain markdown that any harness can compile and run. The talk covers event-driven jobs triggered by webhooks and pull requests, a grumpy-senior PR reviewer demo, a bank model-documentation workflow, composing contracts, pinning successful runs into deterministic workflows, and how the approach contrasts with DSPy.

Oct 16, 2026

Decision models take off & Anthropic bans cruelty to Claude

The panel examines the rise of decision models, a family of LLM-based systems that return a single, scored classification in one forward pass, and asks whether they are genuinely new or a smarter use of existing architectures. It then weighs the cost and benefit of multi-agent teams, drawing on a study that found agent teams cost two to five times more without consistently better results, and closes with Anthropic's new policy against sustained cruelty toward its models and what it says about AI safety, ethics, and human behavior.

Oct 09, 2026

How MasterClass Builds Multi-Agent AI That Learners Can Trust

MasterClass engineers Mandar and Priya explain how they built NCX, a multi-agent AI tutoring system, and the CoreWeave-based tracing, MCP server, and AgentOps loop that keeps it reliable and self-improving in production.

Oct 08, 2026

Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya

Viren Baraiya, CTO of Orkes and original creator of Netflix Conductor, explains why production agents behave like applications built from microservices. He argues for splitting the work between a non-deterministic LLM that plans and a deterministic, durable harness that executes, with approval gates, idempotent steps, and recorded side effects. He frames agent harnesses as late-bound sagas and demos an SRE remediation agent whose plan is compiled into a Conductor workflow.

Oct 08, 2026

Inside a Game Where AI Agents Never Sleep

Isaac Lee of NEXUS explains why he wants to fill MMORPGs with agent players instead of scripted NPCs to bootstrap multiplayer worlds, and walks through NEXUS's AI lab: text-to-3D world building, novel-to-video pipelines, pixel animation loops, the Da Vinci multi-agent dev framework, self-hosted inference after Kimi, the Bob meeting assistant, and the implications of agentic shopping for e-commerce.