Nathan Labenz

112 articles
Data, data, everywhere - enough for AGI?

Data, data, everywhere - enough for AGI?

In this podcast, Nathan and Nick Gannon dive deep into the data requirements for achieving Artificial General Intelligence. They explore the current paradigms, the role of data in approximating intelligence, and the scaling trends for GPT models.

Interfacing with AI, with Linus Lee of Notion

Interfacing with AI, with Linus Lee of Notion

In this wide-ranging conversation, we dig into the details of how Linus goes about his explorations. He shares his toolkit, from PyTorch as a foundation to the custom tools he's built over time for data visualization, model evaluation, and rapid experimentation.

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