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Why the current tech backlash feels different

This interview has been lightly edited for length and clarity. Nick Statt: Hello and welcome to Decoder, Nilay’s show about big ideas and other problems. This is Nick Statt, senior producer. And I’m joined by our brand-new supervising producer, Greg Ott. Greg Ott: Good day, everyone. And Hi, Nilay. Nilay is here too. He is […]

Why the current tech backlash feels different

In this Decoder podcast mailbag episode, Nilay Patel discusses the recent "software brain" video that garnered significant attention from listeners. The video proved to be the most talked-about episode in the past six months, garnering hundreds of comments on The Verge website and YouTube, as well as dozens of emails. While many expressed positive feedback, some criticism was also received, specifically regarding the host's ranting style.

One listener wrote that they appreciated the "software brain" video and wished for more of Nilay's rants, stating, "Just listened to 'People do not yearn for automation,' and all I can say is the people do yearn for more Nilay rants." The host reflected on the origin of this ranting style, which stems from his writer's heart and desire to synthesize the ideas and conversations he has during his research and reporting.

The host explained that the podcast aims to take the complex ideas discussed during interviews and present them in a way that listeners can easily understand and engage with. While he acknowledged that he can't do this as frequently as he'd like, the "software brain" episode was timely, given the current hype surrounding AI and its potential impact on software engineering. The host emphasized that while AI has made strides in writing software, the verifiability of AI's capabilities in other domains remains questionable.

In conclusion, the host explained that the ranting style has been a part of the show's DNA, reflecting his desire to share his insights and analysis effectively with the audience.

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

Read the original at theverge.com →

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