Today, Meta said it is releasing Llama 3.1 405B, a model containing 405 billion parameters. Parameters roughly correspond to a model’s problem-solving skills, and models with more parameters generally perform better than those with fewer parameters. At 405 billion parameters, Llama 3.1 405B isn’t the absolute largest open source model out there, but it’s the biggest in recent years.
Technology
Meta won’t release its multimodal Llama AI model in the EU
Meta says it won’t be launching its upcoming multimodal AI model — capable of handling video, audio, images, and text — in the European Union, citing regulatory concerns. The decision will prevent European companies from using the multimodal model, despite it being released under an open license. “We will release a multimodal Llama model over the coming months, but not in the EU due to the unpredictable nature of the European regulatory environment,” Meta spokesperson Kate McLaughlin said.
Source: Meta won’t release its multimodal Llama AI model in the EU
Japanese media say AI search infringes copyright, urge legal reform
Artificial intelligence-powered search engines provided by U.S. tech giants like Google LLC and Microsoft Corp. likely infringe on copyright, an association run by Japanese mass media says. The Japan Newspaper Publishers and Editors Association, in a statement, called for companies operating such services to obtain consent from news organizations as search responses often resemble articles that are sourced without permission.
Source: Japanese media say AI search infringes copyright, urge legal reform
‘COPIED Act’ could make it unlawful to train AI using copyrighted material
Under the proposed law, this “content provenance information” would be embedded in digital forms of copyrighted material, and it would be unlawful to remove it or tamper with it, except in very limited cases where platforms are carrying out research to improve security. It would also be unlawful for anyone to use any material with “content provenance information” to train AI, or to create AI-generated content, “unless such person obtains the express, informed consent of the person who owns the covered content.”
Deepfake-detecting firm Pindrop lands $100M loan to grow its offerings
The threat of deepfakes is growing as the AI tools to create them become widely accessible. There was a 245% increase in deepfakes worldwide from 2023 to 2024, an uptick spurred in part by coming election cycles, according to verification provider Sumsub. The trend, unsurprisingly, has been a windfall for companies marketing tools to defend against deepfakes and technologies used to produce them.
Source: Deepfake-detecting firm Pindrop lands $100M loan to grow its offerings
Apple, Nvidia, Anthropic Used Thousands of Swiped YouTube Videos to Train AI
AI companies are generally secretive about their sources of training data, but an investigation by Proof News found some of the wealthiest AI companies in the world have used material from thousands of YouTube videos to train AI. Companies did so despite YouTube’s rules against harvesting materials from the platform without permission.
Source: Apple, Nvidia, Anthropic Used Thousands of Swiped YouTube Videos to Train AI
Disney Music Group taps Audioshake for AI stem separation
Disney Music Group is the latest label using AI startup Audioshake’s stem-separation technology for its catalogue. In DMG’s case, it’s to go back to recordings which don’t have stems available, and create them for sync licensing, remastering, spatial audio and other modern-day uses. The partnership is not a big surprise, as Audioshake was one of the startups in the 2024 Disney Accelerator program – so there’s already a relationship between the two companies.
Source: Disney Music Group taps Audioshake for AI stem separation
CCC Launches Collective Licensing for AI
Copyright Clearance Center (CCC) has launched a collective licensing solution for the internal use of copyrighted materials in AI systems. The new service, which became available July 1, is an addition to CCC’s existing Annual Copyright Licenses (ACL) service and aims to provide a streamlined method for companies to access a consistent set of rights across multiple rightsholders, while ensuring compensation for content creators.
Licensing Your Movie & TV Content for AI Training: Can You? Should You?
As the most obvious advantage for library owners, granting training data licenses creates an additional revenue stream for existing programming. However, without suitable implementation, the potential cons for the licensing library owner include harming relationships with creative collaborators and partners whose persona, work or assets are ingested into the AI model along with the licensed library programming.
Source: Licensing Your Movie & TV Content for AI Training: Can You? Should You?
AI in Book Publishing – Threat or Promising New Future?
Since 2017, the development of large language models (LLMs) like OpenAI’s GPT-3 has begun to influence the publishing industry. These models, designed to generate new content on the basis of patterns in existing texts, align with the industry’s trend toward efficiency and consolidation, but simultaneously raise concerns about the long-term survival of human labor. Despite these concerns, some see AI as providing new opportunities for writers in an increasingly competitive market.
Source: AI in Book Publishing – Threat or Promising New Future? — AI In Hollywood