The 2 Most Important Takes I Read on CHATGPT & AI This Week

So much content lately has focused on how to use ChatGPT. But two articles that made me stop on think were on what AI technology means more broadly for creators.

The first written by Maggie Harrison for Futurism is a deep learning expert’s warning that can be summed up as “don’t believe the hype”.

The current climate in AI has so many parallels to 2021 web3 it's making me uncomfortable," François Chollet, an influential deep learning researcher at Google and the creator of the deep learning system Keras, wrote in a blistering Twitter threa[d].

Of course this stood out to me, because I remember—like a moment frozen in time—when Clubhouse had a $4Billion valuation from Twitter and I thought back-burnering my business to build a social audio media brand was the move.

The second broke my heart as someone who started as a writer, I hope we’ll see more attention around it. It’s called, fittingly: “A Writer Used AI To Plagiarize Me. Now What?” by Alex Kantrowitz. I feel kind of naive that, before reading this article I never thought of how the content was generated so quickly and how pulling information so rapidly could lean on plagiarizing.

There are ramifications here: What happens when a plagiarized post gets the views, shares, attention that the creator was depending on —but it was “generated” through research?

I don’t have the answers here, but with all new technology, I appreciate the articles looking into the big picture, and the ethics—not just the maximum immediate utility.