Testing the limits of generative AI

This post was originally published on Info World

To get the most from generative AI (GenAI) tools like GitHub Copilot or ChatGPT, Datasette founder Simon Willison argues you have to be prepared to accept four conflicting opinions. Namely, that AI is neither our salvation nor our doom, neither empty hype nor the solution to everything. It’s none of these and all of them at the same time. As Willison puts it, “The wild thing is that all of these [options] are right!”

Maybe. It all depends on how you use genAI tools and what you expect. If you’re expecting a code generation assistant like AWS CodeWhisperer to produce perfect code that you can accept and use wholesale without change, you’re going to be disappointed. But if you’re using these tools to complement developer skills, well, you just might be in for a very positive surprise.

“Paranoid Android”

The problem is that too many businesses have bought into the hype and expect GenAI to be a magical cure for their problems. As Gartner analyst Stan Aronow highlights, a recent Gartner survey found that “nearly 70% of business leaders believe the benefits [of GenAI] outweigh the risks, despite limited understanding of precise generative AI applicability and risks.” If your business strategy boils down to, “It

Read the rest of this post, which was originally published on Info World.

Previous Post

The AI Hype Is Now Very Real for Businesses

Next Post

AMD Rolls Out New Data Center Chip for Edge and Telco