Interconnects

著者: Nathan Lambert
  • サマリー

  • Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories.

    www.interconnects.ai
    Nathan Lambert
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あらすじ・解説

Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories.

www.interconnects.ai
Nathan Lambert
エピソード
  • (Voiceover) OpenAI's o3: The grand finale of AI in 2024
    2024/12/20

    Original post:

    https://www.interconnects.ai/p/openais-o3-the-2024-finale-of-ai

    Chapters

    00:00 Introduction

    02:51 o3 overview

    05:57 Solving the Abstraction and Reasoning Corpus (ARC)

    10:41 o3’s architecture, cost, and training (hint: still no tree search)

    16:36 2024: RL returns

    Figures

    Fig 1, Frontier Math results

    Fig 2, Coding results

    Fig 3, ARC AGI results

    Fig 4, ARC AGI result details

    Fig 5, ARC AGI example 1

    Fig 6, ARC AGI example in text

    Fig 7, ARC AGI example “easy”



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    18 分
  • (Voiceover) The AI agent spectrum
    2024/12/18

    Original post: https://www.interconnects.ai/p/the-ai-agent-spectrum

    Chapters

    00:00 Introduction

    03:24 Agent cartography

    08:02 Questions for the near future

    Figures

    Fig 1. multiple feedbacks diagram



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    11 分
  • (Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses
    2024/12/11

    Original post:

    https://www.interconnects.ai/p/openais-reinforcement-finetuning

    Chapters

    00:00 Introduction

    04:19 The impact of reinforcement finetuning’s existence

    07:29 Hypotheses on reinforcement finetuning’s implementation

    Figures

    Fig. 1, Yann’s Cake

    Fig. 2, Grader config

    Fig. 3, RLVR learning curves



    Get full access to Interconnects at www.interconnects.ai/subscribe
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    13 分

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