Latent.Space(@latentspacepod)

Is pre-training dead? @OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always fo...

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Is pre-training dead? @OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always fo...

TL;DR · AI 摘要

预训练模型并非已死，OpenAI首席研究官认为通过工程优化和新研究仍可突破瓶颈。

核心要点

  • 预训练模型仍可通过工程优化和研究突破瓶颈。
  • OpenAI持续探索预训练模型的改进方法。
  • 预训练模型在AI研究中仍具有重要地位。

结构提纲

按章节快速跳转。

  1. §引言

    讨论预训练模型是否已死的问题。

  2. ·OpenAI首席研究官的观点

    OpenAI首席研究官认为预训练模型仍有发展空间。

  3. ›突破瓶颈的方法

    通过工程优化和新研究突破预训练模型的瓶颈。

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • 预训练模型是否已死
    • OpenAI首席研究官观点
      • 通过工程优化突破瓶颈
      • 通过新研究突破瓶颈
    • 预训练模型的重要性
      • 仍具重要地位

金句 / Highlights

值得收藏与分享的关键句。

  • We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary.

    — 文章正文

    ⬇︎ 下载 PNG𝕏 分享到 X
  • 预训练模型并非已死，OpenAI首席研究官认为通过工程优化和新研究仍可突破瓶颈。

    — 文章摘要

    ⬇︎ 下载 PNG𝕏 分享到 X
  • 预训练模型在AI研究中仍具有重要地位。

    — 文章正文

    ⬇︎ 下载 PNG𝕏 分享到 X
#AI#预训练模型#OpenAI
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Latent.Space on X: "Is pre-training dead? @OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary." https://t.co/dOynElmth9" / X

Latent.Space

@latentspacepod

Is pre-training dead?

@

OpenAI

Chief Research Officer

markchen90

doesn't think so: "We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary."

00:00

Jun 25

In this episode,

joins

allenpark

to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it

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7:00 PM · Jun 26, 2026

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