AI Frontier Research & Engineering
Tracking emerging technology, dissecting system architecture, and publishing what I actually build and evaluate.
Article archive — page 6
- What Is Meta Muse Image? Agentic Generation, Availability, and Limits
A source-backed analysis of Muse Image's search, coding tools, self-refinement, and test-time compute, with its product availability, evidence, and adoption limits.
- Kaggle Titanic: From 0.74 to 0.816, Feature Engineering Outperforms Parameter Tuning
A complete practical record of the Titanic survival prediction competition: progressive feature engineering, CatBoost and RF ensembling, decoupling CV from Public LB, strict notebook porting, and knowing when to stop. Final Public LB 0.81578.
- MCP Spec Update: Stateless Core, Tasks, and Apps
What changed in the MCP 2026-07-28 spec versus earlier versions: stateless core, Tasks, Apps, and whether to migrate. The date belongs in the body, not the title.
- GraphRAG In-Depth Analysis: How to Build Smarter AI Retrieval Workflows Using Knowledge Graphs?
Explore the highlights of Cassie Shum's talk at QCon AI. Learn from the ground up how GraphRAG solves enterprise RAG pain points through Global Context, Multi-hop Reasoning, and Cypher queries, with practical architectural implementations.
- GitLab Orbit: Querying Code and SDLC Relationships for AI Agents
GitLab Orbit builds a queryable graph from code and software-lifecycle data; this article clarifies Remote, Local, MCP, and the current Beta and Experiment boundaries.
- Financial-Grade Enterprise Agentic AI Architecture Design: From Demo to Agentic Operating System
AI Summit Recap: Enterprise AI Control Plane, 15+ Agents responsibility breakdown, 4-stage runtime workflow for wealth managers, 3-layer security boundaries, LLM-as-a-Judge quality governance, and E·P·J·T reusable capability foundation.
- Nano Banana 2 Lite and Gemini Omni Flash: Official Specs, Preview Limits, and Adoption Checks
A grounded review of Google's published specs, pricing, and preview limitations for Nano Banana 2 Lite and Gemini Omni Flash, plus what to validate before adopting an image-to-video pipeline.
- NotebookLM Short Video Summaries: Verify the Source Boundary First
NotebookLM can turn source material into roughly one-minute vertical summaries; this article separates observed features from undocumented implementation assumptions.
- Financial AI Engineering Platform Engineering: Building Operational Agentic AI with Cloud-Native Architecture
Summary of my Cloud Summit sharing: Three lifelines for financial AI deployment, why PoCs get stuck, the three-tier architecture of Cloud Native AI Runtime, MCP tool governance, Hybrid Search and Agentic RAG, and why accuracy is a workflow property rather than a model feature.
- Football Flow Training: Why Elite Teams Train the Brain
How top football teams use neuroscience and brain training in modern high-intensity competition to help players enter a flow state, with practical training takeaways.
- Anthropic Introduces Claude Tag: Making Claude a Permanent AI Teammate for Your Team
Anthropic has released Claude Tag, designed specifically for team collaboration. By tagging @Claude in Slack, AI becomes a virtual teammate that proactively participates in discussions, executes asynchronous tasks, and continuously learns. This article details its core features, usage, target audience, and billing model.
- Step into the Agent Era: Deconstructing the Four Core Pillars of Cursor / Claude Code / Codex
An in-depth analysis of the four Harness mechanisms of modern AI editors—Skills, Subagents, Commands, and Hooks. Clarify the actual configuration formats, trigger timings, and collaborative relationships of each platform, evolving from 'prompt engineering' to 'AI workflow architect'.
- Google Releases Agentic Resource Discovery Specification: The 'Yellow Pages of Capabilities' for the AI Agent Era
An in-depth analysis of the open specification Agentic Resource Discovery (ARD) released by Google in June 2026. This specification aims to standardize how AI Agents discover, verify, and connect with tools, skills, and other Agents in distributed systems, solving the core pain point of multi-agent collaboration: 'How do I find a trusted partner?'
- Latest Research from OpenAI: How Reinforcement Learning (RL) Makes AI Systems More Aligned and Resilient
An in-depth analysis of OpenAI's latest research on reinforcement learning (RL) and AI alignment. Exploring how models demonstrate broad generalization across more than 40 unseen alignment benchmarks through training focused on 'beneficial traits', and exhibit strong persistence and resilience under malicious fine-tuning and adversarial prompts.
- Anthropic's Latest Research: The State of Agentic Coding and the Persistent Value of Domain Expertise
Anthropic releases a privacy-preserving analysis of 400,000 Claude Code interactions. The research reveals the true division of labor for AI coding agents: humans decide 'what to do', while AI decides 'how to do it'. More importantly, success depends not on 'coding ability', but on 'domain expertise'. This has profound implications for the future of knowledge work.
- OpenAI Deployment Simulation: Predicting LLM Safety Before Launch
Read OpenAI Deployment Simulation: why offline eval and real deployment diverge, and what this simulation can and cannot predict.
- What Is PixelRAG: Retrieval Over Webpage Screenshots
PixelRAG shifts retrieval from plain text to webpage screenshot pixels. This post covers what it solves and where the evidence stops—not a "screenshots beat text" slogan.
- What Is OKF: Google's Format for Enterprise Knowledge Agents Can Read
Introduces Google Cloud's Open Knowledge Format: why files plus YAML serve as the agent knowledge interface, and what OKF is not.
For speaking invitations, internal engineering sessions, or architecture exchange, see the topics and public work I can bring into the conversation.
Speaking & contact