Episode 2: Why Size Matters & When It Doesn't

The hosts will dive straight into the macro-economics of deep learning, covering empirical Scaling Laws, the Chinchilla correction, the "mirage" of emergent abilities, and how to optimally allocate a compute budget. Per your handoff note, they will keep it intriguing, fun, and conversational, using relatable budgeting and infrastructure analogies while completely skipping the basics of Transformers and Attention.

Episode metadata supplied by the publisher feed · Published Jun 11, 2026

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Episode 2: Why Size Matters & When It Doesn't

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This episode was published on June 11, 2026.

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