Podcast Atlas
entity Updated 2026-07-09 Tags: Company, Ai

OpenAI

OpenAI appears in 高手怎么用 AI？普通人怎么学 AI？投资人如何投 AI？｜对谈课代表立正 as a frontier AI company shaping both product behavior and market structure. The episode references OpenAI in relation to Codex, foundation-model revenue concentration, and the emergence of Forward Deployed Engineer work. Eric Ries on How Founders Quietly Lose Their Company adds OpenAI as a Startup Governance case study where formal board authority, employee alignment, investors, Microsoft, and mission interpretation diverged. Eric Ries: Incorruptible by Design adds OpenAI as a comparison point with Anthropic in the broader question of whether frontier AI companies can insulate themselves from Financial Gravity and make AI Alignment Governance credible. AI Startup Hits $8.6M ARR With V0 MVP and EUR85 Pricing adds ChatGPT as an AI-search surface where B2B buyers may research products and where Peak AI measures brand visibility. 哪条路线，才能通往「世界模型」的终局？｜对话黄碧薇：Aether AI 创始人 mentions OpenAI as a frontier lab still mostly advancing through the LLM paradigm rather than fully shifting toward Causal AI. EP88 穿越量化之父西蒙斯：AI会让普通人更容易赚钱，还是更难？ adds OpenAI to an AI IPO Valuation frame: even if the technology is transformative, public investors still need to judge price, cash flow, competition, lockup selling, and concentration risk. OpenAI 和 Anthropic 共同看好的 FDE：AI 时代的新岗位出现，旧分工松动｜对谈 Rolling AI adds that OpenAI and Anthropic are discussed as frontier companies emphasizing FDE-style enterprise AI deployment because selling model access alone does not solve workflow, context, system, and incentive problems. 人类和 AI Agent 的最佳配合方式，还没被发明｜对谈 Paperboy adds OpenAI as one of the two dominant competitive forces for Paperboy, because model ownership, distribution, compute, and agent products such as Codex set the baseline that interface startups must compete against.

EP117 豆包月活过亿，阿里再造「千问」是不是晚了？ adds OpenAI through ChatGPT memory and commerce integration. The hosts treat ChatGPT’s accumulated personal context as a retention advantage, and describe OpenAI’s source-reported ACP commerce work with Shopify and Etsy as a contrast with Chinese platform incentives around Agentic Commerce.

EP108 Vibe Coding大地震：Cursor定价争议、Windsurf收购风波，模型厂商亲儿子们又将如何进场？ adds OpenAI to the Windsurf transaction story. The hosts describe an earlier rumored OpenAI acquisition process as context for why model companies want direct access to AI coding workflows, even though the later talent and asset movement went through Google DeepMind and Cognition in the episode’s account.

Vol. 166 闲聊: 从 Gemini 到 AI 的加速与混沌 adds OpenAI through Codex and ChatGPT. The hosts see OpenAI as a broadly capable frontier company that is also pulled into coding competition, while ChatGPT voice/chat is used as an example of AI conversation that can be useful yet too convergent and “wiki-like” compared with human conversation.

Vol. 167 Token 如流水，Agent 似朝阳 adds three OpenAI threads: the hosts discuss OpenAI no longer being exclusively tied to Microsoft cloud infrastructure, Codex becoming reachable through browser and ChatGPT-style remote control, and ChatGPT images gaining watermark/provenance signals. The source therefore connects OpenAI to cloud bargaining power, AI Inference Cost Structure, AI Content Provenance, and personal-agent product form.

Vol. 162 科技快乐星球44: 新模型“SOTA们”齐贺新春 adds OpenAI through GPT-5.2/5.3, ChatGPT Go, possible advertising, voice-mode limitations, smart-earbud rumors, and Codex inside Xcode. The episode treats OpenAI as moving simultaneously through frontier model upgrades, lower-price consumer plans, coding tools, and possible AI Plus Terminals hardware.

除了石油和海峡，这届伊朗战争开始算计你的服务器了 adds OpenAI as an AI-infrastructure exposure case. The hosts say OpenAI-linked Middle East infrastructure appeared in conflict-related target discussion, using that claim to argue that AI data centers and model-serving capacity can become part of Digital Infrastructure War Risk and AI Compute Continuity. The source does not independently verify the current-war claims.

E155.似乎没什么人再提「AI 泡沫论」了 adds OpenAI as the consumer-entry contrast to Anthropic. The source treats ChatGPT’s reported user scale as evidence that AI-native products have reached mobile-internet-sized distribution, while also asking whether OpenAI monetizes through subscriptions, traffic, take rate, advertising, or broader AI Investment Metrics.

133. 对谢赛宁的7小时马拉松访谈：世界模型、逃出硅谷、AMI Labs、两次拒绝Ilya、杨立昆、李飞飞和42 adds OpenAI as the route Xie Saining twice declined through Ilya Sutskever. The source uses the refusals to contrast OpenAI/SSI-style frontier intelligence work with Xie’s choice of FAIR first and later AMI Labs, where he argues that World Models, Representation Learning, and real-world partner data should not be subordinated to an LLM-only path.

134. 【数据的综述】和谢晨聊，新时代的石油、历史、版图、数据金字塔、定价与Recipe adds OpenAI as one of the major model organizations 谢晨 expects to matter in robot brains, Vision Language Action Models, and Embodied AI data demand. In this source, OpenAI is a possible physical-AI participant rather than only an LLM, agent, or governance case.

140. 对姚顺宇的4小时访谈：请允许我小疯一下！在Anthropic和Gemini训模型、技术预测、英雄主义已过去 adds Yao Shunyu / 姚顺宇’s competition view. He says OpenAI, Anthropic, and Gemini are close enough on public benchmarks that the real differences come from problem definition, data, feedback, and product choices; he also argues OpenAI’s position is not guaranteed because the current chatbox may not be the final AI interface.

137. 对洪乐潼的4小时访谈：AI for Math、把数学变成Lean、数学天书中的证明、直觉、被创造与被发现的 adds OpenAI as an AI For Math competitor and possible destination for senior math talent. Hong Letong / 洪乐潼 says Ken Ono had considered OpenAI or Google DeepMind before joining Axiom, and she describes frontier labs as approaching math from different angles such as informal reasoning, formal proof, or reasoning-improvement loops.

142. 雨森的创投观察第2集：Harness、下一个字节、2026大机会和Stanley Druckenmiller adds Dai Yusen / 戴雨森’s competitive and investment reading of OpenAI. He argues that OpenAI’s consumer subscription, advertising, and commerce upside had not yet fully met earlier market expectations, while Codex helped the company regain ground against Claude Code. The source treats OpenAI and Anthropic as potentially undervalued over very short horizons but still exposed to the longer AI Investment Metrics question of whether customers turn AI input into terminal profit.

136. 全球大模型季报第9集：和广密聊，Coding是AGI第二幕、硅谷御三家真相、模型正成为新一代OS adds a sharper strategic critique: OpenAI’s ChatGPT consumer success is treated as a reason it underweighted coding relative to Anthropic, but the same exploratory culture is also framed as a reason it could still discover a new paradigm and catch up through Codex. The source places OpenAI inside Model As Operating System as one of the few companies with a plausible path to platform-scale model infrastructure.

E240｜OpenAI联手PE砸下40亿美元，聊聊硅谷最火新职位FDE adds OpenAI through the deployment-company discussion. The source argues that OpenAI’s enterprise push shows model access is not enough: frontier labs need Forward Deployed Engineer capability, AI Workflow Triage, and workflow-level adoption to prove ROI inside companies and PE-backed portfolios.

263.Sora死了，Adobe跌了，美图何去何从？ adds OpenAI through Sora. The source uses Sora’s reported shutdown to qualify the “models eat applications” narrative: even a frontier model company can struggle when Video Models are expensive, quality is uneven, and the product tries to become a platform before the workflow is mature. It therefore links OpenAI to AI Inference Cost Structure, AI Application Layer Moat, and the question of whether model ownership is enough to own user workflows.

170: 【具身季报 26Q2】世界模型大风不停，和不想被贴标签的人 adds OpenAI through the reported formal restart of a robotics team. Chen Zhe Peter reads that move as connected to OpenAI’s prior DALL-E, Sora, image/video generation, and world-simulation work, making OpenAI a possible future participant in World Model VLA Fusion and robot-brain competition rather than only language, coding, or agent products.

171: 【AI季报 26Q2】从 coding 到 RSI，强者愈强的未来？ adds a broader Q2 AI-quarter update. Henry Yin says Codex regained ground against Claude Code through model/product progress, pricing, and enterprise migration incentives; GPT-5.6 is presented as a strong frontier release; Record and Replay extends OpenAI’s Computer Use Agent route; and Image2 plus real-time voice keep OpenAI in multimodal interaction. The source frames these not as separate launches but as part of a system competition against Anthropic across model ability, product entry points, pricing, enterprise distribution, data loops, and access policy.

Roaring trades: oil majors’ secret success story adds OpenAI to a U.S. model-release governance case. The episode says restricted access to an OpenAI frontier model is part of a broader government review environment where launch timing, cyber risk, and unclear release criteria can affect AI Equity Valuation Risk and SaaS Reliability Under Policy Risk.

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