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Ryan Orban

Ryan Orban

Subject
3 entries

Competitive Advantage

Bookmarks

  1. The Data Moat Myth for Generative AI

    A 2022 tweet arguing that the 'data moat' premise for GenAI startups is a false promise — foundational models commoditize the data advantage that once differentiated ML companies. An early articulation of why the 'ChatGPT for X with proprietary data' pitch was flawed.

  2. The Empty Promise of Data Moats (a16z)

    Andreessen Horowitz's 2019 essay arguing that data moats are largely illusory — data network effects are weaker than assumed, more data doesn't linearly improve model performance past a threshold, and the actual moat is usually elsewhere. Foundational piece in the AI business strategy debate.

  3. Build Personal Moats

    Erik Torenberg's essay on building personal moats — durable competitive advantages that compound over time by combining rare skills in ways that are hard to replicate. The key: find what's easy for you but hard for others.

All bookmarks