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Why C2PA is necessary, what it can and cannot do.

C2PA is "An open technical standard providing publishers, creators, and consumers the ability to trace the origin of different types of media." C2PA stand for Coalition for Content Provenance and Authenticity.  In plain language, it adds a manifest to creative work such that you can trace the what created it and what has happened to it since it was created. C2PA has become important because  where files come from (the  provenance in C2PA)  of all types o f files has become critical.  Our need to know more about where our files come from is driven by the ability of AI to manipulate images. It is valuable to know if, for example, I wrote this, if it was generated by AI or if it was written by me with AI assistance. What will C2PA be used for? Tracking down abusers Without C2PA, AI will make it possible to create similar but not identical works of art.  For example, someone may alter a piece of photography to make it appear as though someone was in that pictu...
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Open Source AI Funding Will Dry Up

Free open source Generative AI is going to run out of funding.  It is expensive and legally risky to create generative AI models. Also, open source AI models can be deployed by anyone, anywhere, which, while advantageous, enables misuse. In this article, I am going to explain my reasoning focusing on the abuses and the costs associated with free open source generative AI. Fraud/CSAM First, open-source generative AI is increasingly being abused. It is being utilized to commit fraud and generate CSAM (Child Sexual Abuse Material). AI’s role in facilitating fraud is well documented. It excels at mimicking voices and rewriting text to enhance the credibility of email scams. As large companies have improved their monitoring tools to combat these abuses, fraudulent actors have turned to open-source models to evade oversight. Consequently, there will be mounting pressure on major corporations to avoid creating models that can be exploited for fraud, leading them to discontinue open-source...
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