Data

Reddit is taking on Google and ChatGPT with its own AI chatbot

Reddit Answers will respond to users’ questions with summaries of conversations from across the social media platform, and provide links to relevant communities and posts, the company said. The chatbot can also make recommendations and suggest follow-up questions. With the AI chatbot, Reddit users can skip using Google search or OpenAI’s ChatGPT to find information and discussions on Reddit.

Source: Reddit is taking on Google and ChatGPT with its own AI chatbot

Aptos co-founder: AI training consent a ‘perfect use case’ for blockchain 

Giving artificial intelligence models consent to use content for training is a “perfect use case” for blockchain technology, according to Avery Ching, co-founder and chief technology officer of Aptos. He highlighted the potential for blockchain to provide clear consent mechanisms for determining whether specific content can be used for AI training.

Source: AI training consent a ‘perfect use case’ for blockchain — Aptos co-founder

Musical AI and Beatoven.ai to launch ‘first fully licensed’ AI music generator

Musical AI and Beatoven.ai’s collaborative project, set to launch in the second half of 2025, aims to “ensure rights holders are compensated for every use of their repertoire.” The platform will be built on Beatoven.ai’s technology, training on a catalog of over3 million songs, loops, samples, and sounds. Musical AI will provide data licensing, attribution of generated outputs, and payments to rightsholders.

Source: Musical AI and Beatoven.ai to jointly launch what they claim to be the ‘first fully licensed’ AI music generator

Senate Bill Eyes Transparency in Use of Copyrighted Works

Senator Peter Welch (D-Vt.) introduced the Transparency and Responsibility for Artificial Intelligence Networks (TRAIN) Act on Monday in the latest effort to shield songwriters, musicians and other creators from the unauthorized use of their works in training generative AI models. If successful, the legislation would grant copyright holders access to training records, enabling them to verify if their creations were used.

Source: Senate Bill Targets AI ‘Black Box’ Problem, Eyes Transparency in Use of Copyrighted Works

Spotify Launches Analytics Platform for Audiobook Publishers, Authors

Spotify has launched Spotify for Authors, an analytics and promotion platform for its audiobook division, which currently hosts more than 300,000 titles. The platform, modeled after Spotify’s existing tools for musicians and podcast creators, aims to provide publishers and authors with data-driven insights about their audiobook performance.

Source: Spotify Launches Analytics Platform for Audiobook Publishers, Authors

News Corp adds Google-powered AI summaries to Factiva search results

Dow Jones-owned business intelligence search engine Factiva is adding generative AI summaries to its search results. The news database has deployed Google’s Gemini technology as part of News Corp’s ongoing business partnership with the tech giant. Factiva approached every one of its almost 4,000 sources for new generative AI permissions and received the go-ahead from a “significant subset” of them according to general manager Traci Mabrey.

Source: News Corp adds Google-powered AI summaries to Factiva search results

Publishers hooked on Google Discover traffic risk race to the bottom

For many news publishers around the world Google Discover is now their primary source of traffic. Research from NewzDash, a news performance monitoring tool, shows that on average Discover accounts for 55% of publishers’ total Google traffic. This is up from 41% in a previous study. Yet it’s a risky strategy to rely on Discover traffic. Several Googlers are on record saying sites shouldn’t rely on Discover.

Source: Publishers hooked on Google Discover traffic risk race to the bottom

Can Google’s Watermark Tool Save the Internet from AI Slop?

Google DeepMind, in collaboration with Hugging Face, open sourced its research titled ‘Scalable watermarking for identifying large language model outputs’ in a bid to distinguish between human and AI content on the internet, driven by LLMs. Launched exactly a year ago, SynthID, their watermarking tool, is now available for wider access.

Source: Can Google’s Watermark Tool Save the Internet from AI Slop?

Ziff Davis study says AI firms rely on publisher data to train models

Leading AI companies rely more on content from premium publishers to train their large language models (LLMs) than they publicly admit, according to new research from executives at Ziff Davis. While AI firms generally do not say exactly what data they use for training, executives from Ziff Davis say their analysis of publicly available datasets makes it clear that AI firms rely disproportionately on commercial publishers of news and media websites to train their LLMs.

Source: Ziff Davis study says AI firms rely on publisher data to train models

MIDiA: State of the independent music economy: Fragmentation AND consolidation

Non-major labels are firmly streaming-first, with it accounting for the majority of their income and Spotify being more than half of it. However, they also feel streaming has its challenges – 87% of non-major labels feel it is becoming more difficult to get artists to cut through and 78% find it difficult to retain fan interest.

Source: State of the independent music economy: Fragmentation AND consolidation

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