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VC-backed startups

1
episodes
1
thinkers
2h
of conversation
12
books & papers
3
terms defined

The neighbourhood: VC-backed startups and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.

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The lexicon

Every term the guests lean on, in plain language. Read one in full, or filter to find it.

    What the corpus says

    The throughline across every conversation that touches this idea.

    Fast.ai offers free, practical deep learning courses that emphasize accessibility and minimal BS.
    Jeremy Howard argues that most deep learning research is a waste of time, advocating for practical problem-solving instead.
    Howard claims that large datasets like ImageNet aren't necessary for breakthroughs; smaller datasets can be equally effective.
    Transfer learning can achieve state-of-the-art results with significantly less data, challenging the notion that more data is always better.
    Superconvergence allows networks to be trained ten times faster, improving both speed and generalization.

    Go read

    12 books and papers cited across these episodes.

    For the specialist

    What experts find new

    3 expert-level takeaways for a specialist reader.

    At the frontier

    Still unresolved

    1 open questions flagged across these conversations.

    The thinkers

    Who takes this idea on, by how often they return to it.

    All guests

    Adjacent ideas