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Why AI alignment could be hard with modern deep learning ↗ Cold Takes (Holden Karnofsky’s blog), guest post · 2021-09-21
Archived copy, captured 2021-09-21: Why AI alignment could be hard with modern deep learning ↗
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Source excerpt “Ajeya Cotra” Location in source Page head: author byline
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Machine-checked · 2026-10-27
Source details and check notes Authors Ajeya Cotra Version Current page, retrieved 2026-10-06 with the hash recorded by the 1996–2022 candidate search; the quote also matches the raw capture of 2021-09-21, re-verified for this collection. Canonical address Open the canonical source ↗ Accessed 2026-10-06 Language English (en) Archive copy Open archived copy, captured 2021-09-21: Why AI alignment could be hard with modern deep learning ↗ . Captured on the recorded publication date. An archive copy shows only what the archive retrieved on 2021-09-21. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-06.Attribution Ajeya Cotra, "Why AI alignment could be hard with modern deep learning", Cold Takes, 21 September 2021. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Credited name checked by an automated research assistant on 2026-10-27 in a direct retrieval. Human editorial review is pending. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
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Record ID ap-ajeya-cotra-cotra-2021-why-ai-alignment-could-be-hard