Posts

Abstract: When the AI in a driverless car can’t handle the situation, does the industry have a coherent emergency-management playbook? It doesn’t — and worse, no reference standard exists. Starting from the March 31, 2026 Wuhan Apollo Go incident, this post walks through three recent body blows to the Robotaxi industry, scans every gap in the ISO / SAE / IEC / China standards landscape on remote operations, traces the fundamental regulatory pivot after Wuhan, and introduces ROAM (Remote Operations & Anomaly Management) — an open-source reference architecture with four modules, ten future operating models, and a 52-standard scan that confirms the void. ...

A Strange Life (Эта странная жизнь) is a Soviet documentary novella written by Daniil Granin, first published in 1974. It tells the life of Soviet entomologist, philosopher, and mathematician Alexander Lyubishchev. Lyubishchev pioneered and practiced his own time-accounting method, using it as both research instrument and personal experiment — for 56 years, beginning at age 28, recording every block of time he spent and continuously refining the system. By organizing Lyubishchev’s diaries and time ledgers, Granin reconstructed the life of this pioneer of personal time management. — Baidu Baike ...

Abstract: In Q1 2026, “Harness Engineering” surfaced almost simultaneously at OpenAI, Anthropic, and the Chinese startup Nextie, and the “12 Primitives” converged in the open-source community as a shared taxonomy. This essay argues that essentially all mainstream investment in Harness has concentrated in a single dimension — user experience, performance, efficiency — while the dimension that actually determines market access in Safety-Critical domains (autonomous driving, medical AI, financial risk control) has been collectively skipped: safety compliance. By constructing a two-way mapping between the 12 Harness Primitives and SOTIF (ISO 21448), this essay identifies 12 concrete research directions, offered as a starting point for standardization bodies, corporate R&D, third-party institutions, and academic labs to jointly fill in this commons. A ~3000-word Chinese short form is available on the author’s WeChat channel. ...

Abstract: In early 2026, Harness Engineering rose quickly in the AI engineering community, becoming a third-generation methodology after Prompt Engineering and Context Engineering. Starting from the core concept of Harness Engineering, this article systematically analyzes its deep correspondence with today’s end-to-end intelligent-driving systems across the full lifecycle. It argues that the two fields are structurally isomorphic in their control-theoretic framework, improvement loops, and philosophy of failure response. It also discusses the reference value of Harness Engineering for intelligent-driving user experience and safety engineering, especially SOTIF / ISO 21448. The central finding is that Harness Engineering and automotive safety engineering are not superficially similar metaphors. They are two independently evolved solutions to the same class of root problems, sharing the same underlying operating system. ...

Abstract: An article about a Bosch engineer’s open-source project garnered over 150K impressions, yet only about 50 people actually forked and used it. Behind this “many spectators, few doers” phenomenon lies a structural mismatch in AI tool adoption — the people who truly need AI tools don’t know how to use GitHub, and the people who know GitHub don’t need generic tools. The ceiling of any AI tool is determined by the domain depth of the person injecting knowledge into it, not by AI’s capabilities alone. ...

Abstract: Bosch Lead Engineer Thejeswarareddy R open-sourced an agent system that systematically injects automotive engineering standards into Claude Code, covering 75+ skill categories. I forked it and added autonomous driving safety standards (ISO 21448/34502/4804, etc.), upcoming mandatory Chinese national standards, and in-depth SOTIF engineering practices. This article breaks down the project’s architectural highlights and my additions. Figure 1 If you are a junior functional safety engineer in the automotive industry, you have almost certainly lived through this scenario: ...

Abstract: End-to-end architectures are moving from research papers to mass production, yet the cornerstone of global autonomous driving safety evaluation — scenario-based development and testing — still rests on the assumption that systems can be decomposed into perception, planning, and control modules. This article systematically analyzes five structural challenges that scenario methods face in the end-to-end era, argues that they remain valid but are no longer sufficient, and proposes an evolutionary path that supplements scenario methods with large-scale aerial naturalistic driving data within a three-layer collaborative framework. ...

Abstract: In March 2026, JAMA released the fourth edition (Ver.4.0) of the SAKURA Automated Driving Safety Evaluation Framework — a 344-page national-level safety evaluation technical document. This article systematically examines this safety evaluation system jointly developed by Toyota, Honda, Nissan, and other major Japanese automakers, covering its corporate value, engineering perspectives, core methodology, and the frontier challenges posed by the end-to-end AI era, while exploring its implications for China’s standardization efforts. ...

Abstract: In March 2026, Germany’s VDA published the global automotive industry’s first standardized guideline for AI quality management — VDA 20 AI in Quality Management (191 pages). This article provides an in-depth analysis of its AIQM three-tier risk classification, 80-item checklist, and 12 application cases. It examines the reference value for China’s autonomous driving industry and explores China’s leading advantages and window of opportunity in end-to-end evaluation methodologies and data infrastructure. ...