English(EN) Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen

OpenAI首席研究员讨论AGI进展和“o1”模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-25 21:32

OpenAI首席研究员Mark Chen在Latent Space播客上讨论了公司在通用人工智能（AGI）方面的进展。他谈到了其“o1”模型的开发、评估方法以及扩展定律在人工智能进步中的作用。对话还探讨了实现AGI的挑战和未来方向。 AI

影响深入了解OpenAI的AGI发展战略和研究重点。

排序理由公司高管的播客访谈，讨论研究和未来目标。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 公司高管的播客访谈，讨论研究和未来目标。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: opinion, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 104 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

Latent Space (podcast video) TIER_1 English(EN) · Latent Space · 2026-06-25 21:32

与OpenAI研究主管一起烹饪：AGI、o1、Evals和Scaling Laws — Mark Chen

In this episode, we have Mark Chen, Chief Research Officer at OpenAI, joining us to make Korean tofu stew and flambé shrimp. From scaling laws and why pre-training is not dead, to the o1 reasoning bet, evals crisis, research taste, long-context learning, and the future of end-to-…