Source: Shadow ‘Archive’ Says It Copied Virtually All of Spotify’s Music – Decrypt
Data
A DMCA “Bot War”: Google Search Processed 5 Billion Takedown Requests in 2025
Google Search has reached a staggering new DMCA takedown milestone, processing over five billion copyright removal requests in 2025. Driven by a massive automated reporting spike, mostly from Link-Busters, the total all-time count has now eclipsed 15.8 billion. Not all reported URLs are actually removed, however. In fact, many were not even indexed by Google to begin with, which is another side effect of the ‘bot war’.
Source: A DMCA “Bot War”: Google Search Processed 5 Billion Takedown Requests in 2025 * TorrentFreak
AI data crunch speeds towards Napster moment
The free lunch will come to an end for artificial intelligence in 2026. Over the past decade, developers from Google to Alibaba have largely been helping themselves to the internet buffet, devouring copyrighted material without permission or payment. Make no mistake, however: the bill is coming soon. Consider it AI’s Napster moment.Billions Are Flowing Into Music IP — Can Financial Systems Handle It?
IP acquisition is only the first step – one quickly followed by potentially overwhelming blocking and tackling. A typical catalog requires ingesting data from hundreds of platforms and sources spanning DSPs, sub-publishers, CMOs, and social media platforms, often in conflicting formats. And that’s just a working list of initial considerations to properly collect associated IP revenues, with downstream payouts and revenue splits another major area of concern.
Source: Billions Are Flowing Into Music IP — Can Financial Systems Handle It?
Spotify acquires music database WhoSampled
WhoSampled offers an extensive database of songs, samples, covers, remixes, artists, and more. According to its website, it’s now tracking more than 1.2 million songs and nearly 622,000 samples. That data is powering Spotify’s latest features, like its upcoming music discovery tool SongDNA. However, WhoSampled was known to Spotify for some time, as it had partnered with the streamer back in 2016 to allow its users to access their Spotify playlists and saved tracks in its app
Source: Spotify acquires music database WhoSampled | TechCrunch
Spotify rolls out expanded song credits, previews new ‘SongDNA’ for Premium users
Thus far, Spotify’s song credits included topline performers, songwriters and producers. The new credits expand that to include “all of the contributors who make each song possible,” including background vocalists, musicians, and engineers. “The more fans understand the careful craft that underpins the music they love, the deeper their fandom grows and the more invested they become in the people who create it,” Spotify said in a blog post.
50,000 AI-music tracks are now uploaded to Deezer every day
Deezer says that roughly 50,000 fully AI-generated tracks are now uploaded every day, accounting for 34% of all music delivered to it. The new figures were published alongside the findings from a survey Deezer commissioned from Ipsos, covering 9,000 people in eight countries: the US, Japan, UK, Germany, France, Brazil, the Netherlands and Canada. The most eye-catching finding is that the survey involved respondents listening to two fully AI-generated tracks and one human song, then guessing which ones were AI. 97% failed the test.
Source: 50,000 AI-music tracks are now uploaded to Deezer every day
Publishing’s Survival Depends on Data, Says Elsevier Chairman
At last week’s Sharjah Publishers Conference, Y.S. Chi warned that publishers need to build richer data infrastructures or face extinction. “No publisher will survive five years from today if they don’t have data,” he said last week at the 15th Sharjah Publishers Conference. “I don’t care how well you edit and publish books. If you don’t have data, you will make wrong decisions.” At the top of his agenda was addressing perhaps the most urgent threat to publishing: artificial intelligence. “You can’t do AI unless you have data,” Chi explained.
Source: Publishing’s Survival Depends on Data, Says Elsevier Chairman
Big Tech Is Spending More Than Ever on AI and It’s Still Not Enough
Silicon Valley’s biggest companies are already planning to pour $400 billion into artificial intelligence efforts this year. They all say it’s nowhere near enough. “We’ve been short [on computing power] now for many quarters. I thought we were going to catch up. We are not. Demand is increasing,” said Amy Hood, Microsoft’s chief financial officer. “When you see these kinds of demand signals and we know we’re behind, we do need to spend.”
Source: Big Tech Is Spending More Than Ever on AI and It’s Still Not Enough
Hundreds of thousands of videos from news publishers were used to train AI models
YouTube channels from major news publishers and creators were in video data sets used by Microsoft, Meta, Snap, Runway, and Bytedance. For example, 11,604 videos from the official YouTube channel of The New York Times across 11 different data sets are in the database. Over 8,000 of these videos, though, came from a single training data source — Runway Gen-3.
