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
…
@aibreakfast
-
Watermarking: a necessary trick for AI-generated content
By
–
-
Watermark selects whitelist tokens and promotes them during sampling
By
–
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)
-
Watermarking detects AI-generated text for readers and academia
By
–
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"
-
LLM watermark detection: 28 tokens vs expected 9, odds 6e-14
By
–
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.
-
Watermark tokens embedded with negligible impact on text quality.
By
–
Interestingly, the watermark tokens can be embedded with negligible impact on text quality.
-
Watermarking AI text to detect ChatGPT-generated content
By
–
"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. ↓
-
FlawlessAI maps faces with 3D modeling for dialogue reconstruction
By
–
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.
-
Kurzweil predicts AI human level by 2029, billion-fold intelligence by 2045
By
–
“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
-
AI Breakfast write-up on Tim’s pix2pix project
By
–
I actually did a write-up on Tim's pix2pix project in the newsletter today:
-
Playground AI excels at AI art editing with seamless UX
By
–
Lots of AI art editing tools out there, but @playground_ai crushes it with UX/UI. "Giver her a suit and tie" was the only prompt for this edit. Style match was near perfect; didn't compromise the rest of the image. Free to use ↓ http://
playgroundai.com Nice work @Suhail