Generative AI companies are pushing the willingness among tech companies to release early, releases a bare-bones applications of platforms to the limit
The rollout of Google’s AI-generated search summaries was not without issues as users shared screenshots of bizarre and in some cases potentially harmful results.The uneven rollout of Google’s AI-generated search summaries in mid-May was, in a way, entirely predictable. And it’s likely to happen again.
The release of ChatGPT by OpenAI in November, 2022, touched off an arms race among tech companies. A few months later, Microsoft set the template for janky AI debuts. The tech giant, which has invested heavily in OpenAI, integrated the ChatGPT maker’s technology into its Bing search engine, with lacklustre results.
There is another dynamic at play. Sure, it might be embarrassing when the general public plasters social media with examples of misbehaving AI, but it’s also a free form of beta testing. Companies want to better understand how people are using the technology in order to continue to improve it. This is despite the fact that large AI developers have internal safety teams that are supposed to ensure applications will not go off the rails before launch.
Expecting perfection from AI, however, is the wrong approach, according to Dr. Mollick. “AI, even with errors, often beats humans,” he said., Dr. Mollick has suggested a more appropriate measurement is what he dubs the Best Available Human. “Would the best available AI in a particular moment, in a particular place, do a better job solving a problem than the best available human that is actually able to help in a particular situation?” he wrote.
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