Xiaomi's HarnessX rewrites its own AI scaffolding mid-task - and smaller models gain the most
As enterprise AI agent take on increasingly complex, long-horizon tasks, their performance is often restricted by their harness, the software scaffolding.
Referenced Coverage & Sources
Here Are the First Images of the Crater Left on the Moon by SpaceX's Rocket
The Korea Aerospace Research Institute shared images that show the gash on the surface. It's pretty small.
DeepMind's Hurricane Breakthrough Has Surprised Weather Scientists
Open source WeatherNext model can make accurate predictions with lower-resolution weather data.
Four AI Agents Coordinating in Real Time Outperformed Claude Opus 4.8 on Enterprise Coding Tasks
As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and.
Tencent's Team Memory Shares AI Agent Memory Across a Team - with No Governance yet for When It's Wrong
A VB Pulse survey this June found that 57% of enterprises had traced a confidently wrong agent answer back to missing or inconsistent context - the latest.
AI Agent
An AI Agent is an autonomous entity that perceives its environment through sensors (or inputs) and acts upon that environment using actuators (or tools) to achieve specific goals. An agent relies on a reasoning brain (typically an LLM) to plan and execute multi-step processes.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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