--- date: '2023-01-22T10:57:34' hypothesis-meta: created: '2023-01-22T10:57:34.532045+00:00' document: title: - Who Owns the Generative AI Platform? | Andreessen Horowitz flagged: false group: __world__ hidden: false id: k3jJlJpDEe2r9LtfV5j0MA links: html: https://hypothes.is/a/k3jJlJpDEe2r9LtfV5j0MA incontext: https://hyp.is/k3jJlJpDEe2r9LtfV5j0MA/a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ json: https://hypothes.is/api/annotations/k3jJlJpDEe2r9LtfV5j0MA permissions: admin: - acct:ravenscroftj@hypothes.is delete: - acct:ravenscroftj@hypothes.is read: - group:__world__ update: - acct:ravenscroftj@hypothes.is tags: - ai - generative ai target: - selector: - endContainer: /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/ul[2]/li[1]/span[2] endOffset: 238 startContainer: /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/ul[2]/li[1]/b[1] startOffset: 0 type: RangeSelector - end: 15074 start: 14604 type: TextPositionSelector - exact: "Vertical integration (\u201Cmodel + app\u201D). Consuming AI models\ \ as a service allows app developers to iterate quickly with a small team\ \ and swap model providers as technology advances. On the flip side, some\ \ devs argue that the product is the model, and that training from scratch\ \ is the only way to create defensibility \u2014 i.e. by continually re-training\ \ on proprietary product data. But it comes at the cost of much higher capital\ \ requirements and a less nimble product team." prefix: 'tive AI app companies include: ' suffix: ' Building features vs. apps. Gen' type: TextQuoteSelector source: https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ text: There's definitely a middle ground of taking an open source model that is suitably mature and fine-tuning it for a specific use case. You could start without a moat and build one over time through collecting use data (similar to network effect) updated: '2023-01-22T10:57:34.532045+00:00' uri: https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ user: acct:ravenscroftj@hypothes.is user_info: display_name: James Ravenscroft in-reply-to: https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ tags: - ai - generative ai - hypothesis type: annotation url: /annotations/2023/01/22/1674385054 ---
Vertical integration (“model + app”). Consuming AI models as a service allows app developers to iterate quickly with a small team and swap model providers as technology advances. On the flip side, some devs argue that the product is the model, and that training from scratch is the only way to create defensibility — i.e. by continually re-training on proprietary product data. But it comes at the cost of much higher capital requirements and a less nimble product team.
There's definitely a middle ground of taking an open source model that is suitably mature and fine-tuning it for a specific use case. You could start without a moat and build one over time through collecting use data (similar to network effect)