deepfakes
Article
deepfakes is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 30, 2021 and November 20, 2022. The archive places it in contexts such as “Claim of the first successful deepfakes based hacking”; “Projects include fighting deepfakes with cryptographic techniques”. It most often appears alongside AI Safety, ACX Grants, ACX Tokyo meetup group.
Metadata
- Category: Concepts
- Mention count: 2
- Issue count: 2
- First seen: December 30, 2021
- Last seen: November 20, 2022
Appears In
Related Pages
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- AI Safety (2 shared issues)
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- ACX Grants (1 shared issues)
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- ACX Tokyo meetup group (1 shared issues)
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- ACX unofficial subreddit (1 shared issues)
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- Aella (1 shared issues)
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- AI Alignment (1 shared issues)
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- AI-based analytics methods (1 shared issues)
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- Amazon (1 shared issues)
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- Anthropic (1 shared issues)
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- anti-incarceration group (1 shared issues)
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- Astralcodexten Com (1 shared issues)
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- Brazil (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
13: Claim of the first successful deepfakes based hacking. Looking through comments elsewhere, I think this claim falls apart, which means that AFAICT after several years of the technology existing I still know of no instance of any deepfakes actually fooling anyone and causing damage.
5: Prof. Daniel Kang is looking for PhD/masters students to work with him on practical AI safety at the University of Illinois Urbana-Champaign CS program. Projects include fighting deepfakes with cryptographic techniques, democratizing AI for non-experts, and developing AI-based analytics methods with accuracy guarantees for eg scientific studies and mission-critical workflows. Some potential longer-term implications. See here for more information.
Inline links: See here