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From the New York Times, I'm Michael Balbaro.
This is the daily today.
A Times investigation shows how, as the country's biggest technology companies raced to build powerful new artificial intelligence systems, they bent and broke the rules from the start.
My colleague Cade Metz, on what he uncovered next Tuesday, April 16.
Cade when we think about all the artificial intelligence products released over the past couple of years, including, of course, these chat bots we've talked a lot about on the show.
We so frequently talk about their future, their future capabilities, their influence on society, jobs, our lives.
But you recently decided to go back in time to AI's past, to its origins, to understand the decisions that were made basically at the birth of this technology.
So why did you decide to do that?
Because if you're thinking about the future of these chat bots that is defined by their past, the thing you have to realize is that these chat bots learn their skills by analyzing enormous amounts of digital data.
So what my colleagues and I wanted to do with our investigation was really focus on that effort to gather more data.
We wanted to look at the type of data these companies were collecting, how they were gathering it, and how they were feeding it into their systems.
And when you all undertake this line of reporting, what do you end up finding?
We found that three major players in this race, OpenAI, Google and Meta, as they were locked into this competition to develop better and better artificial intelligence.
They were willing to do almost anything to get their hands on this data, including ignoring and in some cases, violating corporate rules and wading into a legal gray area as they gathered this data, basically cutting corners, cutting corners left and right.