We’re all being deluged with news about how the latest generation of AI is transforming people’s lives, helping businesses be more productive, and even leading to layoffs. But that flood of information doesn’t help anyone answer the most basic question about these AIs: Which is best? So I canvassed executives, engineers and researchers who are knee-deep in the process of applying the world’s most powerful AIs to real world problems, to find out what they have learned. Their answers surprised me.
There was plenty of practical advice about the relative strengths and weaknesses of AIs from Google, OpenAI, Anthropic and Meta. But the overall message was that the best AI for any task depends on both the user and the task. Their insights also offer a glimpse of where the entire field of AI is going.
In a way that wasn’t true even six months ago, companies can now either embrace the potential cost savings and productivity boost of generative AI—which some researchers believe is on the path to a “general" or humanlike AI—or risk losing out to competitors who will. Treat Your AIs Like the Employees They Are Today’s most powerful AIs aren’t something you can buy and run on your own computers. They’re only accessible through the cloud.
This makes it easy to test them by feeding them documents, images and text, but also means that businesses have limited ability to alter their behavior. Testing these AIs is more like hiring an employee than just buying a piece of software off the shelf, says Mark Daley, chief AI officer of Western University in Ontario. “People expect the chatbot to work right out of the box, but you have to spend time trying them and see which of these will deliver, just like you do with an employee," he adds.
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