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Cerebras summarizes five orchestration patterns for multi-agent workflows

Cerebras published a blog post summarizing five patterns for building multi-agent workflows: parallel generation followed by human selection, swarm parallelism, staged parallelism, sequential handoff, and separation of building from verification. Using Codex with Figma MCP to replicate a website as an example, the article states that a single agent averaged 36.5 minutes per run, 12 human interventions, and a 100% failure rate, while the multi-agent setup took 5.2 minutes, required 2 interventions, and succeeded on the first attempt; in internal testing, the sequential loop reduced human interventions by 84.3%. The author argues that multi-agent setups expand the effective context window from about 200K to over 25M, and notes that Codex Spark's speed of about 1,200 tokens/second makes parallel and verification steps feasible.

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Stanford's HomeBody connects GPT-6 Astra to the Unitree G1 to tidy up the kitchen

The Stanford team launched the HomeBody project, connecting GPT-6 Astra to the Unitree G1 to enter a kitchen and execute language instructions; it can gather coffee bags, discard designated cardboard boxes, and, when medication is not in view, find the drawer from memory and retrieve the medicine to hand to a person. The system first has Astra guide the G1 to explore an unfamiliar kitchen and save camera images, LiDAR, and joint poses as spatial memory, then reconstructs a digital kitchen in Isaac Sim, after which Astra calls reusable skills such as navigation, grasping, placing, and opening drawers, with the skill modules handling specific motion planning and feeding back results. The team says deploying to a new kitchen requires no additional training data collection or training of specialized motion policies, but perception, planning, and skill execution run on a single RTX 4090 laptop, Astra makes decisions remotely, the initial reconstruction involves preparation time and API costs, and overheating of the finger servos is also one of the current limitations.

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