硬·AI 作者 | 龙 玥 2月25日，OpenAI在其官方视频栏目中发布了对知名开源项目OpenClaw创建者Peter Steinberger的深度 访谈，由OpenAI高管Romain Huet主持。 OpenAI访谈OpenClaw之父Steinberger。他靠AI一年提交代码9万次，验证了"一人成军"的爆发力。他指出AI已具备自主 解决问题的能力，开发本质已变为"定义意图"而非写代码。他预言2026年技术将彻底爆发，呼吁开发者立刻"带着玩心"入 局。 编辑 | 硬 AI 访谈里，Steinberger复盘了OpenClaw的爆红、自己如何用Codex等"代理式工具"写软件，以及开源与安 全的真实矛盾。 几周前还需要主持人"介绍一下"，如今Steinberger在旧金山被上千名用户线下"围观"。他形容自己"各方面 都有点超载"，但也直言这正是他想看到的结果："我一开始就是想激励别人——现在这就是最有趣的形 式。" 01 涌现的智能："它自己找到了解决问题的路径" 很多人以为OpenClaw是一夜成名，但其背后是长达十个月的疯狂试错。真正让Peter确认这款产品具备极 高市场契合度（PMF）的，是AI ...

奥特曼访谈精华要点 OpenAI首席执行官奥特曼在最新一场直播对谈中承认，公司在ChatGPT-5系列模型开发中出现路线偏差，过度专注于编程和推理能力而牺牲了其 他能力。他同时预测，随着AI重塑软件开发方式，传统意义上的"写代码"工作将变得不再重要，但工程师岗位需求反而会大幅增加。 在这场与AI行业从业者的直播对谈中，奥特曼表示OpenAI在ChatGPT-5系列模型上"确实搞砸了"，导致模型出现明显的能力失衡问题。他明确表 示，OpenAI将回归"真正高质量的通用型模型"发展路线，在推进编程智能的同时迅速补齐其他能力短板。 奥特曼还对AI可能引发的生物安全风险表达了担忧。他表示，对2026年AI可能出现的安全问题感到"非常紧张"，其中生物安全是最大隐患。他认 为，必须从"阻止一切发生"的封堵式策略，转向提高整体抗风险能力的韧性式安全。 OpenAI承认模型"偏科"，将回归通用路线 奥特曼坦承，在ChatGPT-5系列模型的开发中，OpenAI有意将大部分精力集中在智力、推理能力和编程能力上，但"有时候专注了一件事，就会不 可避免地忽视其他方面"。这导致该系列模型在写作能力上的表现不如4.5模型稳定。 他强调 ...

Core Insights - The phenomenon known as "Claude-pilled" is rapidly spreading in Silicon Valley, indicating a significant shift in how software development is approached, with non-programmers now able to create applications using Claude AI [1][3][12] - The traditional programming paradigm is being challenged as AI tools like Claude Code allow users to generate complex software solutions without prior coding knowledge [12][14][46] Group 1: Impact on Software Development - Claude Code enables users to complete projects in a fraction of the time previously required, exemplified by a developer who finished a six-month app project in just one weekend [9][10] - The rise of "Vibe coding" allows individuals without coding backgrounds, such as stay-at-home parents and welders, to create functional applications simply by describing their needs in natural language [12][14] - The shift towards AI-driven development is leading to a decline in the traditional role of programmers, as the barriers to entry in software creation are being dismantled [12][46] Group 2: Changes in Workforce Dynamics - The use of AI tools is causing a divide among software engineers, with junior developers facing job market challenges as AI automates many of their tasks [40][41] - Conversely, senior engineers who can leverage AI effectively are becoming more valuable, transitioning from code writers to AI strategists and system architects [43][44] - The ability to understand and manage AI outputs is becoming crucial for job security in the evolving tech landscape [47][48] Group 3: Future of SaaS and AI Integration - The traditional SaaS model is being disrupted by AI Agents, which automate tasks through natural language processing, reducing the need for manual intervention [32][34] - Predictions indicate that by 2026, AI Agents will be integrated into nearly 80% of enterprise applications, fundamentally changing how software is developed and utilized [36] - The future of software engineering will likely see a shift towards AI-driven solutions, with traditional coding practices becoming less relevant [29][46]