NeoHorse-1: A First Prototype on the Path to Harness-Mediated Recursive Self-Improvement (RSI)
NeoHorse-1 is an agent-native model whose routing harness observes its own capabilities and uses those observations to generate its next round of training data. Post-training lifted the average across the benchmark suite for both the 4B and 9B models.
Dissecting the "Harness" of Coding Agents: A Good Skeleton Makes the Performance
A study that breaks the harness wrapping a coding agent into three parts—planning, action space, and context management—and compares them across 176 matched configurations. The tighter the budget, the more context management pays off; the stronger the model, the more planning becomes a cost-saving lever.
Can MiniMax-H3 Reason About the Physical World? A Hands-On Evaluation of an Omni-Modal Generative Model
An accessible breakdown of a study that uses 517 tasks to test whether MiniMax-H3 — a single model spanning text, image, video, and audio — can combine multiple senses to reason about the physical world.
The World You Remembered Is Already the Past: Finding Your Target in a House Where Things Keep Moving
We look at EvolvingNav, which lets a robot locate its target even in a home where objects are quietly moved around — by stamping past observations with time to reason about "where is it now" and then confirming with its own eyes.
The 2026 AI PM & Automation SaaS Landscape — Competitive Analysis for the Agent Era
In 2026, when collaboration tools, AI execution tools, and automation platforms have all bolted on agents, the axis of competition is no longer whether you have an agent but where it lives and who assembles it. This piece places ONTLE's embedded-staff position honestly on that map.
Smart Chunking for Document Retrieval, D-RAC: How to Drop Any Enterprise Document Format Straight into RAG
A plain-language look at D-RAC, which standardizes every kind of enterprise document (PDF, Word, PPT, scans) to PDF and then uses a single multimodal LLM pass to turn it into retrieval-optimized Markdown, slashing chunking costs.
Teaching Robots "What and Where" First: A Walkthrough of GAM and 3D Grounding
An analysis of the GAM paper, which bakes 3D grounding directly into a robot foundation model. By letting you designate the target object with language, points, or boxes, GAM boosts manipulation success rates even when the scene shifts around.
Measuring AI by the Yardstick of Games — A Walkthrough of Tencent's GameHorizon Suite
Tencent ARC Lab's GameHorizon Suite is a data-and-evaluation set designed to measure gameplay ability reproducibly across short, medium, and long horizons. Here is what it can measure, what it still can't, and what's actually released yet.
ScienceIDE: Turning the World's Scientific Code into a Lab Where Agents Learn
A deep look — based on the abstract — at ScienceIDE and the PhAI-IDE model family, which train scientific agents by turning scientific code repositories into executable learning environments.
StepAudio 3 Music: A 5.5-Minute AI Music Model That Can Also Compose by Making a Plan First
An abstract-grounded deep dive into StepAudio 3 Music, which generates up to 5 minutes 30 seconds of long-form music through optional arrangement planning (ABC-CoT mode) and text control.
Game AI in the Foundation Model Era: Redrawing the Map Through Six Roles
An analysis of a survey paper that organizes the foundation-model research now woven through every stage of game development into "six roles," and clarifies what transfers across different games and what stays bound to specific contexts.
Vidu S2: A Video Generation Model You Can Talk To and Edit in Real Time
Real-time interactive video generation was first opened up by Vidu S1; S2 builds on that foundation with 720p output, dynamic references, and live stream editing. We map this "intervene while it flows" structure onto the work of an AI PM.