brainsteam.co.uk/brainsteam/content/annotations/2023/01/22/1674385374.md

date	hypothesis-meta	in-reply-to	tags	type	url
2023-01-22T11:02:54	created document flagged group hidden id links permissions tags target text updated uri user user_info 2023-01-22T11:02:54.339397+00:00 title Who Owns the Generative AI Platform? | Andreessen Horowitz false __world__ false UhZ6LJpEEe2fsBs2mQHXSA html incontext json https://hypothes.is/a/UhZ6LJpEEe2fsBs2mQHXSA https://hyp.is/UhZ6LJpEEe2fsBs2mQHXSA/a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ https://hypothes.is/api/annotations/UhZ6LJpEEe2fsBs2mQHXSA admin delete read update acct:ravenscroftj@hypothes.is acct:ravenscroftj@hypothes.is group:__world__ acct:ravenscroftj@hypothes.is generative ai AI selector source endContainer endOffset startContainer startOffset type /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/ul[3]/li[1]/span[1] 389 /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/ul[3]/li[1]/b[1] 0 RangeSelector end start type 19180 18774 TextPositionSelector exact prefix suffix type Commoditization. There’s a common belief that AI models will converge in performance over time. Talking to app developers, it’s clear that hasn’t happened yet, with strong leaders in both text and image models. Their advantages are based not on unique model architectures, but on high capital requirements, proprietary product interaction data, and scarce AI talent. Will this serve as a durable advantage? stions facing model providers: Graduation risk. Relying on mod TextQuoteSelector https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ All current generation models have more-or-less the same architecture and training regimes. Differentiation is in the training data and the number of hyper-parameters that the company can afford to scale to. 2023-01-22T11:02:54.339397+00:00 https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ acct:ravenscroftj@hypothes.is display_name James Ravenscroft	https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/	generative ai AI hypothesis	annotation	/annotations/2023/01/22/1674385374

Commoditization. There’s a common belief that AI models will converge in performance over time. Talking to app developers, it’s clear that hasn’t happened yet, with strong leaders in both text and image models. Their advantages are based not on unique model architectures, but on high capital requirements, proprietary product interaction data, and scarce AI talent. Will this serve as a durable advantage?

All current generation models have more-or-less the same architecture and training regimes. Differentiation is in the training data and the number of hyper-parameters that the company can afford to scale to.