AI copyright

meta-claims-torrenting-pirated-books-isn’t-illegal-without-proof-of-seeding

Meta claims torrenting pirated books isn’t illegal without proof of seeding

Just because Meta admitted to torrenting a dataset of pirated books for AI training purposes, that doesn’t necessarily mean that Meta seeded the file after downloading it, the social media company claimed in a court filing this week.

Evidence instead shows that Meta “took precautions not to ‘seed’ any downloaded files,” Meta’s filing said. Seeding refers to sharing a torrented file after the download completes, and because there’s allegedly no proof of such “seeding,” Meta insisted that authors cannot prove Meta shared the pirated books with anyone during the torrenting process.

Whether or not Meta actually seeded the pirated books could make a difference in a copyright lawsuit from book authors including Richard Kadrey, Sarah Silverman, and Ta-Nehisi Coates. Authors had previously alleged that Meta unlawfully copied and distributed their works through AI outputs—an increasingly common complaint that so far has barely been litigated. But Meta’s admission to torrenting appears to add a more straightforward claim of unlawful distribution of copyrighted works through illegal torrenting, which has long been considered established case-law.

Authors have alleged that “Meta deliberately engaged in one of the largest data piracy campaigns in history to acquire text data for its LLM training datasets, torrenting and sharing dozens of terabytes of pirated data that altogether contain many millions of copyrighted works.” Separate from their copyright infringement claims opposing Meta’s AI training on pirated copies of their books, authors alleged that Meta torrenting the dataset was “independently illegal” under California’s Computer Data Access and Fraud Act (CDAFA), which allegedly “prevents the unauthorized taking of data, including copyrighted works.”

Meta, however, is hoping to convince the court that torrenting is not in and of itself illegal, but is, rather, a “widely-used protocol to download large files.” According to Meta, the decision to download the pirated books dataset from pirate libraries like LibGen and Z-Library was simply a move to access “data from a ‘well-known online repository’ that was publicly available via torrents.”

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Man tricks OpenAI’s voice bot into duet of The Beatles’ “Eleanor Rigby”

A screen capture of AJ Smith doing his Eleanor Rigby duet with OpenAI's Advanced Voice Mode through the ChatGPT app.

Enlarge / A screen capture of AJ Smith doing his Eleanor Rigby duet with OpenAI’s Advanced Voice Mode through the ChatGPT app.

OpenAI’s new Advanced Voice Mode (AVM) of its ChatGPT AI assistant rolled out to subscribers on Tuesday, and people are already finding novel ways to use it, even against OpenAI’s wishes. On Thursday, a software architect named AJ Smith tweeted a video of himself playing a duet of The Beatles’ 1966 song “Eleanor Rigby” with AVM. In the video, Smith plays the guitar and sings, with the AI voice interjecting and singing along sporadically, praising his rendition.

“Honestly, it was mind-blowing. The first time I did it, I wasn’t recording and literally got chills,” Smith told Ars Technica via text message. “I wasn’t even asking it to sing along.”

Smith is no stranger to AI topics. In his day job, he works as associate director of AI Engineering at S&P Global. “I use [AI] all the time and lead a team that uses AI day to day,” he told us.

In the video, AVM’s voice is a little quavery and not pitch-perfect, but it appears to know something about “Eleanor Rigby’s” melody when it first sings, “Ah, look at all the lonely people.” After that, it seems to be guessing at the melody and rhythm as it recites song lyrics. We have also convinced Advanced Voice Mode to sing, and it did a perfect melodic rendition of “Happy Birthday” after some coaxing.

AJ Smith’s video of singing a duet with OpenAI’s Advanced Voice Mode.

Normally, when you ask AVM to sing, it will reply something like, “My guidelines won’t let me talk about that.” That’s because in the chatbot’s initial instructions (called a “system prompt“), OpenAI instructs the voice assistant not to sing or make sound effects (“Do not sing or hum,” according to one system prompt leak).

OpenAI possibly added this restriction because AVM may otherwise reproduce copyrighted content, such as songs that were found in the training data used to create the AI model itself. That’s what is happening here to a limited extent, so in a sense, Smith has discovered a form of what researchers call a “prompt injection,” which is a way of convincing an AI model to produce outputs that go against its system instructions.

How did Smith do it? He figured out a game that reveals AVM knows more about music than it may let on in conversation. “I just said we’d play a game. I’d play the four pop chords and it would shout out songs for me to sing along with those chords,” Smith told us. “Which did work pretty well! But after a couple songs it started to sing along. Already it was such a unique experience, but that really took it to the next level.”

This is not the first time humans have played musical duets with computers. That type of research stretches back to the 1970s, although it was typically limited to reproducing musical notes or instrumental sounds. But this is the first time we’ve seen anyone duet with an audio-synthesizing voice chatbot in real time.

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