Harness Scaling: How a State Machine Runtime Pushed Agents to 95.3% on Terminal-Bench
The default answer to “make the agent better” is a better model. But a growing pile of evidence says that
Tag: Agentic AI
AGENTS.md: Teaching Coding Agents to Work in Your Repository
Two years into the coding-agent era, a plain Markdown file has quietly become standard infrastructure. AGENTS.md is the place where
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The Post-Training Era: GLM-5.3, Gemini 3.7 Flash, and the Week the Base Model Stopped Mattering
Three model releases in ten days have made one thing clear: the frontier story of late 2026 is not bigger
Qwen3.8-Max: 2.4T Parameters, Open Weights, and a 12-Point Jump in Agentic Computer Use
Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the
Beyond Math and Code: How SpyRL Turns Party Games Into Verifiable Training Signals for LLMs
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
Metis: The First Memory Foundation Model That Learns to Remember
AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it
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Kimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
Moonshot AI has just dropped Kimi K3, and it’s a monster. At 2.8 trillion parameters, it’s the world’s first open-source
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Program-as-Weights: Compiling Natural Language Into Local Neural Programs
There’s a class of programming tasks that resists clean implementation: deciding whether a log line is “important,” repairing malformed JSON
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Hermes Agent: The Self-Improving AI Agent from Nous Research
Hermes Agent is an open-source AI agent framework developed by Nous Research — the team behind the Hermes family of
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Why Verification Is Harder Than Generation for AI Coding Agents
There’s a classical intuition in computer science that verifying a solution is easier than finding one. For NP-complete problems, this
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