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In the wake of last week’s release of the DALL-E API, a crowd of startups is sure to follow, racing to build generative AI for the enterprise.
I thought of that as 50,000 runners converged on New York City for its annual marathon yesterday. It reminded me of OpenAI’s announcement last week about its Converge program, which will provide 10 early-stage startups with $1 million each and early access to its systems.
“I can’t think of a more interesting time to start a startup in recent memory,” said OpenAI Sam Altman in a tweet about the program.
That announcement came just a day before the company released the hotly anticipated DALL-E API in public beta, which means developers can now integrate DALL-E directly into their apps and products — including many that will likely be used for a host of enterprise use cases.
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That effort has clearly already begun: While the term “generative AI” for content generation is not new – a quick Google search unearths articles from as far back as 2017 and pre-Transformer models such as GANS (generative adversarial networks) were introduced in 2014 – the term is already taking over my inbox.
There has been a massive uptick in PR pitches related to generative AI in my VentureBeat email over the past 2-3 months. And when I received a missive last week with the subject line “generative AI for plumbers,” I knew the race — and the hype surrounding it — was just beginning.
Expect more startups to get into the generative AI game
Last week, I spoke to Forrester AI/ML analyst Rowan Curran about Forrester’s 2023 Predictions Report. He said he thinks the DALL-E API will open up a variety of new generative AI use cases.
“I’m expecting more startups to get into the game using the DALL-E API, and …