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Building to Be Corrected: teachability as a vital sign for AI

Donald Obertein· ·2 min read · 0 reactions · 0 comments · 7 views
#building#corrected#teachability#vital#sign
Building to Be Corrected: teachability as a vital sign for AI
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Building to Be Corrected Real AI safety isn't a filter on outputs — it's whether we can still change the machine's mind.Donald OberteinJul 26, 2026ShareA machine can appear safe without *being* safe. This isn’t about what it says or does, but about whether we can still change its mind. It’s about building systems that actively *want* to be corrected, and can still accept correction even after they’ve changed themselves.Imagine trying to teach someone who already believes they know everything.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 2,412 of its stories.

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Hacker News (AI / LLM) · Donald Obertein
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Original publisherHacker News (AI / LLM)
Canonical URLhttps://stoicmarcus.substack.com/p/building-to-be-corrected
Publication timeMon, 27 Jul 2026 12:54:47 +0000
Retrieval time2026-07-27T13:06:18.014Z
Last seen2026-07-27T13:06:18.014Z
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Opening excerpt (first ~120 words) tap to expand

Building to Be Corrected Real AI safety isn't a filter on outputs — it's whether we can still change the machine's mind.Donald OberteinJul 26, 2026ShareA machine can appear safe without *being* safe. This isn’t about what it says or does, but about whether we can still change its mind. It sounds simple because it is—safety comes down to a capacity for correction, built into the foundation of how something learns, not added on as an afterthought.I’ve been thinking about this a lot lately, reading work that confirms what feels true in practice: genuine safety isn’t achieved by filtering outputs or anticipating bad behavior.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).

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