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Jensen Huang’s Apology May Be the Only Correct Use of AI

There are some things in life, like writing an apology email for derailing both national security and one’s marriage, that nobody wants to do.

Jensen Huang’s Apology May Be the Only Correct Use of AI

Nvidia CEO Jensen Huang has apologized for an affair that he claims used AI assistance, potentially compromising both his business and personal relationships. While some might think this is an extreme use of AI, it could be the only instance where delegating such a task to a machine makes sense. People often complain about AI's solutions seeking problems, but in this case, an apology email for such a situation might be one of the few appropriate applications.

The challenge lies in the uniqueness of the email content, as there has likely never been a scenario like this before. Crafting an appropriate template for AI to work with would be a daunting task, with no clear precedent. One might imagine the training data set required for this specific application, possibly including James Bond scripts or other niche examples.

The sheer number of emails in the data set remains unknown, and it is unclear whether there are multiple apologies being written simultaneously for various reasons. While some might compare this to widespread issues, the author believes that such a scenario is rare, if not nonexistent.

Furthermore, Huang's claims that this situation is "completely normal" and that Nvidia's interactions with the alleged spy are "not unusual" raise concerns about the prevalence of such emails. If indeed multiple emails like this are on the horizon, the AI templates will likely improve accordingly.

In conclusion, while AI may seem like a solution looking for a problem, in this case, it could prove to be the only appropriate use. As AI continues to evolve, it is possible that organic demand for assistance in creating such unique emails will lead to better templates and overall performance.

Written by urgent.news from The Atlantic's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at theatlantic.com →

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