pierrefdz
everything is installed directly in the colab
In June 1996, Ross Anderson organized the first workshop dedicated specifically to information hiding at Cambridge University. This event marked the beginning of a long series known as the Information Hiding Workshops, during which foundational terminology for the field was established. Information hiding, i.e., concealing a message within a host content, branches into two main applications: digital watermarking and steganography. In the case of watermarking, hiding means robustly embedding the message, permanently linking it to the content. In the case of steganography, hiding means concealing without leaving any statistically detectable traces.
References: 1. R. J. Anderson, editor. Proc. 1st Intl. Workshop on Inf. Hiding, volume 1174 of LNCS, 1996. 2. B. Pfitzmann: Information hiding terminology - Results of an informal plenary meeting and additional proposals. In Anderson [1], pages 347–350.
> Also if it really matters, then why do it at all? If we’re saying hey this is destroying the environmental and care, then maybe don’t do that work?
Although it may not the best way to quantify it, it gives a good overview of it. I would argue that it matters a lot to quantify and popularize the idea of such sections in any experimental ML papers (and should in my opinion be the default, as it is now for the reproducibility statement and ethical statement). People don't really know what an AI experiment represents. It may seem very abstract since everything happens in the "cloud", but it is pretty much physical: the clusters, the water consumption, the energy. And as someone who works in AI, I believe it's important to know what this represents, which these kinds of sections show clearly. It was the same in the DINOv2 paper or in the Llama paper.