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Normalization of Deviance

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Normalization of Deviance comes up on Lenny's Podcast: Product | Career | Growth, with transcript quotes, timestamps, and episode context.

Normalization of Deviance appears 1 time across 1 podcast episode on 1 show, with transcript quotes and timestamps.

The problem we've been having with prompt injection is that we've been working increasingly unreliably with these systems.

Best episode to start with
An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison on Lenny's Podcast: Product | Career | Growth
Why people keep bringing this up

The book appears in Lenny's Podcast: Product | Career | Growth during an episode about AI and automation, where the host references research from the 1980s linking the Challenger disaster to widespread awareness of failing O-rings. The mention ties the book's concept of a gradual acceptance of risk to a historical case discussed in the episode.

Across this single citation, the title is invoked to illustrate how organizations or groups can internalize unsafe practices over time, a point used by the guest Simo while discussing systemic risk and engineering decisions in the context of AI and automation. The mention anchors the conversation in a concrete example from aerospace engineering to support broader arguments about reliability and institutional behavior.

Recommendation signals

The host references 'Normalization of Deviance' to illustrate how repeated risky behavior can lead to catastrophic outcomes, similar to the Challenger disaster. They draw parallels to current practices in AI, suggesting that complacency in addressing prompt injection risks could lead to significant failures in the future.

Topics it appears in
Best for
AI practitioners and security engineers
Where it keeps coming up

Recent show rotation: Lenny's Podcast: Product | Career | Growth.

Fastest path back to the source: the strongest indexed mention lands at 1:23:48 in the episode where we captured it.

Quick answers

Quick FAQ

Answers to common book, episode, podcast, and guest questions.

Which episode mentioned Normalization of Deviance?

An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison on Lenny's Podcast: Product | Career | Growth is one of the clearest indexed episodes that mentioned Normalization of Deviance. The first indexed transcript timestamp lands at 1:23:48.

Which podcast mentioned Normalization of Deviance?

Lenny's Podcast: Product | Career | Growth is the main indexed podcast currently tied to Normalization of Deviance.

Who mentioned Normalization of Deviance on podcasts?

PodcastMentions ties Normalization of Deviance to Lenny's Podcast: Product | Career | Growth, but the underlying mentions do not yet expose stable guest names for every episode.

Why do podcast guests bring up Normalization of Deviance?

The host references 'Normalization of Deviance' to illustrate how repeated risky behavior can lead to catastrophic outcomes, similar to the Challenger disaster. They draw parallels to current practices in AI, suggesting that complacency in addressing prompt injection risks could lead to significant failures in the future. It most often appears in conversations about Challenger disaster analogy.

Source material

Mentions across episodes

Every mention card links back to the episode page and exact transcript anchor.

This was a piece of research in the 80s that said that what happened with the Challenger disaster is lots of people knew that those little O-rings were unreliable, but they kept on launch.

Sentiment: Deep Dive
For: AI practitioners and security engineers
Key quote: The problem we've been having with prompt injection is that we've been working increasingly unreliably with these systems.
The host references 'Normalization of Deviance' to illustrate how repeated risky behavior can lead to catastrophic outcomes, similar to the Challenger disaster. They draw parallels to current practices in AI, suggesting that complacency in addressing prompt injection risks could lead to significant failures in the future.