Today, we are releasing verifiers v1 (3 minute read)
Prime Intellect's verifiers v1 is an overhaul of its environment stack for the modern era of agentic RL and evals. It decomposes environments into a task set, a harness, and a runtime. verifiers v1 enables complex agentic tasks like coding and computer use at scale in any harness.
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Smart Cellular Bricks: Towards Collective Intelligence for the Physical World (11 minute read)
Sakana AI's research on collective intelligence has extended into physical hardware with "Smart Cellular Bricks." These bricks employ local communication and neural networks to autonomously classify and reconstruct 3D shapes without centralized control. In experiments, the system achieved high accuracy in shape classification and demonstrated robustness against noise and module failures.
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What xAI Grok Build CLI actually sends to xAI (20 minute read)
This post looks at the data that xAI's official Grok Build coding CLI transmits and stores. The CLI transmits the contents of the files it reads to xAI verbatim and unredacted. It uploads whole repositories independent of what the agent reads. The storage destination is a Google Cloud Storage bucket. There's no proof that xAI trains on the data.
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Making Fable Cheaper Than Opus (12 minute read)
Cognition replaced Opus 4.8 with Fable 5, and Devin's bill went down. Fable 5 costs twice as much per token as Opus 4.8, but Cognition created an architecture that resulted in Fable costing less while scoring higher. This post looks at how the company achieved this and what that means for pricing agentic work.
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How Microsoft Ships Thousands of Production AI Agents (18 minute read)
Microsoft described the infrastructure and key mechanisms needed to operate AI agents across Foundry and its large-scale Copilot products. Key practices included treating retrieval as a sub-agent, assigning agents distinct identities and workspaces, and using rubric-based evaluations with automated improvement loops.
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Mantis Skills: Portable Toolkit for Building Security Review Harnesses (GitHub Repo)
Mantis Skill is a decoupled, sequential, and security-focused set of Skills designed for use with Coding Agents. It is intended to be a flexible foundation that users can adapt, tune, and extend, rather than a rigid set of instructions. Google recommends using AI to iterate on the skills and use internal documentation, coding standards, and build systems to augment the threat model. It also strongly recommends adapting risk calibration to the environment and risk tolerance.
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Testing Agents on Long-Horizon Terminal Work (GitHub Repo)
Long-Horizon Terminal-Bench evaluates whether LLM agents can sustain productive work across hundreds of terminal interactions. Its 46 stateful tasks use hidden verifiers that rebuild and inspect final artifacts rather than trusting an agent's reported progress.
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Better Call Sol: The Workhorse (16 minute read)
Zvi Mowshowitz argued GPT-5.6 Sol delivers the strongest balance of reasoning quality, speed, and cost among current frontier models, making it the default choice for demanding knowledge work. He highlights its long-horizon execution, effective computer use, and agentic workflows while noting that task-specific model selection still matters for peak performance.
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The Most Human Technology Ever Made (8 minute read)
AI is emerging as a transformative tool, empowering individuals to create and innovate, rather than just consume. It reduces the barriers to production, allowing people without technical backgrounds to build practical and creative applications. Unlike consumption-focused technologies, AI nurtures individuality and creativity, fostering a culture where personal projects and ideas can flourish and become meaningful contributions.
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