The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish. Vector databases, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the meaning and relationships between the different data points.
Source: Why vector databases are having a moment as the AI hype cycle peaks | TechCrunch
These updates are set to empower developers with unprecedented control over AI model fine-tuning, while also offering new avenues for constructing custom models tailored to specific business needs. As OpenAI states in a blog post announcing the new API updates: “We believe that in the future, the vast majority of organizations will develop customized models that are personalized to their industry, business, or use case.”
Overall, 54% of Americans say artificial intelligence programs that generate text and images, like ChatGPT and DALL-E, need to credit the sources they rely on to produce their responses. A much smaller share (14%) says the programs don’t need to credit sources, according to a new Pew Research Center survey. About a third say they’re not sure on this question.
Source: Many Americans think generative AI programs should credit the sources they rely on
The House voted on Wednesday in favor of a bill to require TikTok to sever its connection with parent company ByteDance or face a ban, moving the legislation forward with surprising speed. President Joe Biden has already said that he would support the legislation, but TikTok faces an uncertain fate as the bill heads to the Senate. The bill received bipartisan backing with a 352-65 vote.
Source: The bill that could ban TikTok passes in the House | TechCrunch
According to a new study from Pex, which monitors and analyzes copyrighted content on digital services, TikTok has the most modified audio of all major UGC platforms, including YouTube, Facebook, and Instagram. Pex estimates that comfortably more than a third (38.03%) of all songs found on TikTok were speed or pitch-modified in 2023. Not only that, but Pex estimates that the share of tracks on TikTok that are modified is increasing – up from 24.55% in 2022 to 38.03% in 2023.
OpenAI’s image generator DALL-E 3 will add watermarks to image metadata as more companies roll out support for standards from the Coalition for Content Provenance and Authenticity (C2PA). The company says watermarks from C2PA will appear in images generated on the ChatGPT website and the API for the DALL-E 3 model. Mobile users will get the watermarks by February 12th.
The standards could allow social media companies to quickly identify content generated with A.I. that has been posted to their platforms and allow them to add a label to that material. If adopted widely, the standards could help identify A.I.-generated content from companies like Google, OpenAI and Microsoft, Adobe, Midjourney and others that offer tools that allow people to quickly and easily create artificial posts.
Source: Meta Calls for Industry Effort to Label A.I.-Generated Content
Luminate, the entertainment industry data company responsible for powering the Billboard Charts, has acquired Quansic, a global music artist identification service. France-headquartered Quansic claims to operate the world’s largest artist identification database which includes over 2.5 million ISNIs (artist identifiers) and 200 million asset identifiers.
Source: Luminate acquires artist data identification service Quansic
Independent music rights admin platform Music Reports has announced the acquisition of music licensing and data platform Blokur. The deal will leverage the strengths of both entities to provide a more robust set of services to a wider array of clients. Founded in 2015, Blokur is a music data and licensing platform centered around connecting music to “the next generation of online experiences.”
Source: Music Reports Acquires Licensing & Data Platform Blokur