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Controlling AI Models from the Inside
As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore...
About This Episode
Controlling AI Models from the Inside is an episode from Practical AI by Changelog Media. As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this...
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Episode Details
Published Jan 20, 2026, 43:55 long, audio available.
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Questions About This Episode
What is Controlling AI Models from the Inside about?
As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring: Alizishaan Khatri – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Upcoming Events: Register for upcoming webinars here !
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Which podcast is Controlling AI Models from the Inside from?
Controlling AI Models from the Inside is an episode from Practical AI by Changelog Media.
How long is this episode?
This episode is 43:55 long.
When was this episode published?
This episode was published on Jan 20, 2026.
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Where can I listen to Controlling AI Models from the Inside?
You can listen to Controlling AI Models from the Inside on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Controlling AI Models from the Inside is from Practical AI by Changelog Media.
What are the episode details?
Published Jan 20, 2026 and 43:55 long