Pretty sure we’ll hit AGI before the Cybertruck is delivered.
@aibreakfast
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AI systems alerted to avoid synthetic data to prevent recursive training problem
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More importantly, it can alert the AI systems themselves not to train on "synthetic data", which could help solve the recursive AI data problem (AI training itself on it's own output, AKA the machine learning version of eating your own vomit)
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Watermarking: a necessary trick for AI-generated content
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Watermarking will be a necessary trick to sift through the chaos of AI-generated content in the future. Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen Jonathan Katz, Ian Miers, Tom Goldstein from University of Maryland Link to paper: https://
arxiv.org/pdf/2301.10226
.pdf
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Watermarking detects AI-generated text for readers and academia
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These cryptic text signatures are indiscernible to the average reader, but reliably detectable by the algorithm. Watermarking can alert you when you're reading a web article that was AI generated (sorry, CNET) or be used in academia to detect "AI Plagiarism"
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Watermark selects whitelist tokens and promotes them during sampling
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The watermark works by selecting a randomized set of “whitelist” tokens before any text is generated, and then softly promoting use of those tokens during sampling. (a token can be a letter, word, numbers, punctuations or any other string that is useful for the specific task)
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LLM watermark detection: 28 tokens vs expected 9, odds 6e-14
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In this sample from the paper, text written by a human would likely contain a certain number of "whitelisted" tokens (expected to be about 9 in this sample), but the text produced by the LLM with the watermark contains 28. Odds of this happening randomly = 6 × 10^−14.
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Watermark tokens embedded with negligible impact on text quality.
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Interestingly, the watermark tokens can be embedded with negligible impact on text quality.
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Watermarking AI text to detect ChatGPT-generated content
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"Watermarking" AI-generated text. Researchers from University of Maryland propose a way to discretely embed (and detect) special tokens in order to accurately determine whether or not text was generated from something like ChatGPT. ↓
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FlawlessAI maps faces with 3D modeling for dialogue reconstruction
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Unbelievable AI editing from @Flawlessai maps out faces using performance tracking and 3D modeling, altering mouth/facial movements for full dialogue reconstruction. pic.twitter.com/33Ycgm2uxv
— AI Breakfast (@AiBreakfast) 24 janvier 2023Unbelievable AI editing from @Flawlessai maps out faces using performance tracking and 3D modeling, altering mouth/facial movements for full dialogue reconstruction.
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Kurzweil predicts AI human level by 2029, billion-fold intelligence by 2045
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“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.” —Ray Kurzweil, Singularity Hypebeast