Generative AI: A New Gold Rush for Software Engineering Innovation
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E=mc^2 is Einstein's simple equation that changed the course of humanity by enabling both nuclear power and nuclear weapons. The generative AI boom has some similarities. It's not just the iPhone or the browser moment of our times; it's much more than that.
Despite all the benefits promised by generative AI, there are growing voices about the unintended societal effects of this technology. Some wonder if creative jobs will be the most in demand over the next decade as software engineering becomes a commodity. Others worry about job losses that may require retraining in some cases. This is the first time in human history that white-collar jobs have been automated, potentially rendering expensive degrees and years of experience unnecessary.
But should governments put the brakes on by imposing regulations or, on the contrary, continue to improve this technology that will completely change the way we think about work? Let's find out:
Generative AI: The New California Gold RushThe technological breakthrough expected in a decade or two is already here. Even the creators of ChatGPT probably didn't expect their creation to be so successful.
EventVB Transform 2023 on demand
Did you miss a session of VB Transform 2023? Sign up to access the on-demand library for all of our featured sessions.
Register nowThe main difference here from some tech trends of the past decade is that the use cases here are real, and companies already have budgets allocated. It's not a cool tech fix looking for a problem. It feels like the start of a new technology supercycle that will last for decades, if not more.
>>Follow VentureBeat's ongoing generative AI coverage
Access our on-demand library to view VB Transform 2023 sessions. Sign up here
E=mc^2 is Einstein's simple equation that changed the course of humanity by enabling both nuclear power and nuclear weapons. The generative AI boom has some similarities. It's not just the iPhone or the browser moment of our times; it's much more than that.
Despite all the benefits promised by generative AI, there are growing voices about the unintended societal effects of this technology. Some wonder if creative jobs will be the most in demand over the next decade as software engineering becomes a commodity. Others worry about job losses that may require retraining in some cases. This is the first time in human history that white-collar jobs have been automated, potentially rendering expensive degrees and years of experience unnecessary.
But should governments put the brakes on by imposing regulations or, on the contrary, continue to improve this technology that will completely change the way we think about work? Let's find out:
Generative AI: The New California Gold RushThe technological breakthrough expected in a decade or two is already here. Even the creators of ChatGPT probably didn't expect their creation to be so successful.
EventVB Transform 2023 on demand
Did you miss a session of VB Transform 2023? Sign up to access the on-demand library for all of our featured sessions.
Register nowThe main difference here from some tech trends of the past decade is that the use cases here are real, and companies already have budgets allocated. It's not a cool tech fix looking for a problem. It feels like the start of a new technology supercycle that will last for decades, if not more.
>>Follow VentureBeat's ongoing generative AI coverage
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