Technology

OpenAI releases new AI fine-tuning tools

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.”

Source: OpenAI releases new AI fine-tuning tools: ‘vast majority of organizations will develop customized models’

Google Books reportedly indexing bad AI-written works

The AI books could make studying language patterns harder. 404Media reports Google Books included several books that AI could have written. The publication searched Google Books with the term “as of my last knowledge update,” a common phrase chatbots like ChatGPT use. You can search Google Books for specific sentences or terms, and it will normally send back written works with those phrases.

Source: Google Books reportedly indexing bad AI-written works

IATSE Sees Fears and Promise of Artificial Intelligence: ‘We Want the Spoils’

AI is high on the agenda as IATSE looks to set a new three-year contract with Hollywood’s major studios and streamers before the July 31 expiration of its current deal. Like the other unions that have struck new contracts over the past year — the WGA, SAG-AFTRA, the Directors Guild of America and the American Federation of Musicians — IATSE is seeking “guardrails” on AI use.

Source: IATSE Sees Fears and Promise of Artificial Intelligence: ‘We Want the Spoils’

Billie Eilish, Pearl Jam, 200 artists say AI poses existential threat to their livelihoods

On Tuesday, the Artist Rights Alliance (ARA) announced an open letter critical of AI signed by over 200 musical artists, including Pearl Jam, Nicki Minaj, Billie Eilish, Stevie Wonder, Elvis Costello, and the estate of Frank Sinatra. In the letter, the artists call on AI developers, technology companies, platforms, and digital music services to stop using AI to “infringe upon and devalue the rights of human artists.”

Source: Billie Eilish, Pearl Jam, 200 artists say AI poses existential threat to their livelihoods

AI’s quiet creep into music punctuated by ‘SpongeBob’ voices and a secretive artist called Glorb

SpongeBob, the title cheery yellow character, appears outside his pineapple-shaped home, while Mr. Krabs, SpongeBob’s cranky boss, is at the Krusty Krab restaurant he runs. But unlike in the show, the characters in the videos aren’t singing jolly songs about life in the underwater city of Bikini Bottom. Instead, they’re rapping about drugs and guns.

Source: AI’s quiet creep into music punctuated by ‘SpongeBob’ voices and a secretive artist called Glorb

The Intersection Of Human Creativity And AI: A Legal Renaissance

In this era, where AI capabilities seem boundless, human time emerges as a finite, invaluable resource. As AI assumes responsibility for routine and complex tasks alike, the focus shifts to the essence of human input — creativity, ethical reasoning, and innovation. This recalibration signifies a deeper appreciation for human attributes, underscoring the irreplaceable nature of human time and insight in a digitized world.

Source: The Intersection Of Human Creativity And AI: A Legal Renaissance

Data Scientist: The Coming Copyright Reckoning for Generative AI

Works that humans create belong to those humans (even if they are jotted down on a napkin). Paying every creator for the rights to their work is financially infeasible for the volumes of data we need to train even a small generative AI model. So, is it fair use for us to feed other people’s work into a training data set and create generative AI models? Let’s go over the Fair Use tests and see where we land.

Source: The Coming Copyright Reckoning for Generative AI

Ed Newton-Rex: Suno is aiming to generate $120 billion per year. But is it trained on copyrighted recordings? 

When an AI company doesn’t reveal its training data sources, the best chance we have of working out those sources is to use the model and see whether we can find output that resembles copyrighted material. Output that resembles copyrighted material is a strong indicator that that material was part of the training data. I, and others, have found that Suno regularly outputs music that closely resembles copyrighted material.

Source: Suno is a music AI company aiming to generate $120 billion per year. But is it trained on copyrighted recordings?

Stability AI Launches Stable Audio 2.0 With Audio-to-Audio Generation Feature

Stability AI has launched Stable Audio 2.0, adding key new functions to the company’s text-to-music generator. Stable Audio 2.0 features audio-to-audio generation, allowing users to manipulate any audio sample they want using text-based AI prompts. Its terms of service, however, requires that any audio uploaded to this tool is free of copyrighted material, with the tool employing a content recognition filter to ensure compliance.

Source: Stability AI Launches Stable Audio 2.0 With Audio-to-Audio Generation Feature

Fixing AI’s Market Failure

Large Language Models (LLMs) require large amounts of data for training. Very large. Like the entire textual content of the World Wide Web large. In the case of the largest such models — OpenAI’s GPT, Google’s Gemini, Meta’s LLaMA, France’s Mistral — most of the data used is simply vacuumed up from the internet , if not by the companies themselves then by third-party bot-jockeys like Common Crawl, which provides structured subsets of the data suitable for AI training. Other tranches come from digitized archives like the Books 1, 2 and 3 collections and Z-Library.

In nearly all cases, the hoovering and archive-compiling has been done without the permission or even the knowledge of the creators or rights owners of the vacuumed-up haul.

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