MMC Ventures’ Post

"We believe that Ethical AI startups and solutions that focus on fine-tuning and inference use cases stand to drive the most value, because that way everybody wins" Thank you Advika Jalan and Charlotte Barttelot from MMC Ventures for talking to us and for sharing this report that investigates the ethical and legal complexities surrounding the use of copyrighted data to train AI models, focusing on the emerging tensions between AI developers, content creators, and data rights holders. This further nurtures the importance of continuing this conversation that will, hopefully, one day lead to legislative change.

Latest MMC research 🧠 We dive into the quagmire of content rights and AI! What a mess of lawsuits, misunderstandings and cavalier use of other people's data. Luckily Advika Jalan and Charlotte Barttelot are here to make sense of it all.

Great speaking with Advika Jalan of MMC Ventures on LifeScore Music's approach to building human-centric technology developed by composers and computer scientists to help musicians be more efficient, allow for more creativity and audience engagement, and further monetize their assets.

Our take on the ethics and future for AI data used to train models. As this grey area becomes a multi-billion dollar licensing industry. Disagree or have a different take?... Let us know! :)

🚨 Hot off the press: the latest (and best report so far) on the copyright and data licensing startup landscape, put together by the incredible Advika Jalan from MMC Ventures and we got a mention. Read below: "The best example of this would be Living Assets, which helps artists improve discoverability of their work through Search Agent Optimisation (think search engine optimisation, but built for the likes of Perplexity and ChatGPT search), and easily enter into licensing agreements and tolls/paywalls (as files get embedded with executable code that specifies licensing conditions and terms of use). Content creators can control their own pricing, and as Living Assets’ licensing is more focused on fine-tuning (low rank adaptation) use cases, we expect it to command higher prices too, which benefits content creators more than a pure training paradigm."

Well researched article by Advika Jalan and Charlotte Barttelot highlighting the need for responsible and ethical data sourcing for AI. It’s great to see this conversation gaining traction. At Trunknode, our focus and vision goes beyond today’s problem to build an ethical, responsible and efficient AI ecosystem. #ethicalAI, #Dataprivacy #trunknode

"...Rights management solutions such as #AI data marketplaces make it easier for data rights holders and AI developers to enter into deals with each other, and this hassle-free licensing process unlocks new revenue opportunities for data rights holders by effective scaling up their content partnership teams." MMC Ventures who back well known names like Synthesia and Signal AI are at the forefront of AI having done research in this topic since 2017. They understand, map and invest in AI companies across multiple sectors as AI has developed from frontier to the early mainstream and new techniques have emerged. Human Native AI is proud to be part of this elite group of early movers together with some phenomenal names in the AI world. Thank you Advika Jalan and Charlotte Barttelot for this piece of thorough research with a fun musical pairing to each section.

I'm thrilled to share that ScalePost has been featured in MMC Ventures' latest report, "Ethical AI: Moving from the Napster to Spotify Era". We're specially excited to be highlighted in multiple categories: 1) Data Marketplace: ScalePost’s platform provides a frictionless way for AI systems to access and pay for content. This includes content for pre-training and post-training needs, as well as real-time access by AI agents. 2) Attribution Engine: ScalePost provides detailed analytics on how AI systems utilize content from publishers, creating transparency. This recognition underscores our dedication to addressing the evolving needs of AI systems and publishers. Thank you Advika Jalan and Charlotte Barttelot for doing a deep dive with us and writing such a comprehensive report!

🚨 AI Llama model Controversy! Mark Zuckerberg reportedly approved Meta’s Llama team to train AI on copyrighted materials without permission. Critics call it a massive IP violation—raising unprecedented ethical and legal concerns. One of many more to come for other LLM providers ? 💡 Should AI innovation trump copyright? Join the debate below! 👇 #AI #Meta #Copyright #TechEthics full article here : https://lnkd.in/eeD2apEj

Five major Canadian news media companies filed a legal action against ChatGPT owner OpenAI, accusing the artificial intelligence giant of regularly breaching copyright and online terms of use. The case is part of a wave of lawsuits against OpenAI and other tech companies by authors, visual artists, music publishers and other copyright owners over data used to train generative AI systems. Reuters News Agency #Reuters