← Long-context language models

What podcasts say about Long-context language models

Every statement, with the speaker, the exact quote and the moment it was said.

What experts have said about Long-context language models

2 statements · 2 negative

  1. Reiner PopeNegativeApr 29, 2026· Dwarkesh Podcast

    Memory bandwidth and capacity primarily limit very large context windows.

    “the primary thing that limits you to have really large contexts are memory bandwidth, memory capacity”

    Listen at 1:53:02

    Open the episode · Reiner Pope – The math behind how LLMs are trained and served
  2. Reiner PopeNegativeApr 29, 2026· Dwarkesh Podcast

    Expanding context windows far beyond roughly 100,000 tokens would be prohibitively expensive.

    “going massively beyond that would be cost prohibitive”

    Listen at 1:54:23

    Open the episode · Reiner Pope – The math behind how LLMs are trained and served

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Long-context language models: what podcasts say · PodLume