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OpenAI and journalism
OpenAI and journalism
We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.
Our goal is to develop AI tools that empower people to solve problems that are otherwise out of reach. People worldwide are already using our technology to improve their daily lives. Millions of developers and more than 92% of Fortune 500 are building on our products today.While we disagree with the claims in The New York Times lawsuit, we view it as an opportunity to clarify our business, our intent, and how we build our technology. Our position can be summed up in these four points, which we flesh out below:We collaborate with news organizations and are creating new opportunitiesTraining is fair use, but we provide an opt-out because it’s the right thing to do“Regurgitation” is a rare bug that we are working to drive to zeroThe New York Times is not telling the full story1. We collaborate with news organizations and are creating new opportunitiesWe work hard in our technology design process to support news organizations. We’ve met with dozens, as well as leading industry organizations like the News/Media Alliance, to explore opportunities, discuss their concerns, and provide solutions. We aim to learn, educate, listen to feedback, and adapt.Our goals are to support a healthy news ecosystem, be a good partner, and create mutually beneficial opportunities. With this in mind, we have pursued partnerships with news organizations to achieve these objectives:Deploy our products to benefit and support reporters and editors, by assisting with time-consuming tasks like analyzing voluminous public records and translating stories.Teach our AI models about the world by training on additional historical, non-publicly available content.Display real-time content with attribution in ChatGPT, providing new ways for news publishers to connect with readers.Our early partnerships with the Associated Press, Axel Springer, American Journalism Project and NYU offer a glimpse into our approach.2. Training is fair use, but we provide an opt-out because it’s the right thing to doTraining AI models using publicly available internet materials is fair use, as supported by long-standing and widely accepted precedents. We view this principle as fair to creators, necessary for innovators, and critical for US competitiveness.The principle that training AI models is permitted as a fair use is supported by a wide range of academics, library associations, civil society groups, startups, leading US companies, creators, authors, and others that recently submitted comments to the US Copyright Office. Other regions and countries, including the European Union, Japan, Singapore, and Israel also have laws that permit training models on copyrighted content—an advantage for AI innovation, advancement, and investment.That being said, legal right is less important to us than being good citizens. We have led the AI industry in providing a simple opt-out process for publishers (which The New York Times adopted in August 2023) to prevent our tools from accessing their sites.3. “Regurgitation” is a rare bug that we are working to drive to zeroOur models were designed and trained to learn concepts in order to apply them to new problems.Memorization is a rare failure of the learning process that we are continually making progress on, but it’s more common when particular content appears more than once in training data, like if pieces of it appear on lots of different public websites. So we have measures in place to limit inadvertent memorization and prevent regurgitation in model outputs. We also expect our users to act responsibly; intentionally manipulating our models to regurgitate is not an appropriate use of our technology and is against our terms of use.Just as humans obtain a broad education to learn how to solve new problems, we want our AI models to observe the range of the world’s information, including from every language, culture, and industry. Because models learn from the enormous aggregate of human knowledge, any one sector—including news—is a tiny slice of overall training data, and any single data source—including The New York Times—is not significant for the model’s intended learning.4. The New York Times is not telling the full storyOur discussions with The New York Times had appeared to be progressing constructively through our last communication on December 19. The negotiations focused on a high-value partnership around real-time display with attribution in ChatGPT, in which The New York Times would gain a new way to connect with their existing and new readers, and our users would gain access to their reporting. We had explained to The New York Times that, like any single source, their content didn't meaningfully contribute to the training of our existing models and also wouldn't be sufficiently impactful for future training. Their lawsuit on December 27—which we learned about by reading The New York Times—came as a surprise and disappointment to us.Along the way, they had mentioned seeing some regurgitation of their content but repeated
·openai.com·
OpenAI and journalism
2023: A breakout year for artificial intelligence
2023: A breakout year for artificial intelligence
It’s been just over a year since ChatGPT kicked off an AI arms race that will change the way people work and interact.
·newsnationnow.com·
2023: A breakout year for artificial intelligence
2023 in AI: The Insane Year That Changed In All!
2023 in AI: The Insane Year That Changed In All!
Here's a recap of the craziest year in the world of AI. Grab Invideo AI at https://apps.apple.com/in/app/invideo-ai/id6471394316 and if you upgrade, use code...
·youtube.com·
2023 in AI: The Insane Year That Changed In All!
GPT-4.5 details may have just leaked
GPT-4.5 details may have just leaked
Details about OpenAI's next LLM update, GPT-4.5 have leaked, offering information about the prices and capabilities of ChatGPT's next update.
·bgr.com·
GPT-4.5 details may have just leaked
Five Key Predictions for Generative AI In 2024
Five Key Predictions for Generative AI In 2024
Charting The AI Frontier Towards 2024
Video/audio editing tools like Descript adjust your grammar, phrasing, and voice tone to make you sound better.Face filter apps like YouCam make you look better with smoother skin, touching up your eyebrows and lips, whitening your teeth, and reshaping your nose.
·medium.com·
Five Key Predictions for Generative AI In 2024
Navigating the Artificial Intelligence Revolution in Schools
Navigating the Artificial Intelligence Revolution in Schools
For many in the education world, artificial intelligence is a demon unleashed, one that will allow students to cheat with impunity and potentially replace the jobs of educators. For others…
·future-ed.org·
Navigating the Artificial Intelligence Revolution in Schools
How are high schoolers using AI?
How are high schoolers using AI?
Students say their most common uses for schoolwork are for language arts and social studies assignments, an ACT survey reports.
·k12dive.com·
How are high schoolers using AI?
Ego, Fear and Money: How the A.I. Fuse Was Lit
Ego, Fear and Money: How the A.I. Fuse Was Lit
The people who were most afraid of the risks of artificial intelligence decided they should be the ones to build it. Then distrust fueled a spiraling competition.
·nytimes.com·
Ego, Fear and Money: How the A.I. Fuse Was Lit
Sarah Silverman Hits Stumbling Block in AI Copyright Infringement Lawsuit Against Meta
Sarah Silverman Hits Stumbling Block in AI Copyright Infringement Lawsuit Against Meta
The ruling builds upon findings from another federal judge overseeing a lawsuit against AI art generators, who similarly delivered a blow to fundamental contentions from plaintiffs in the case.
U.S. District Judge Vince Chhabria on Monday offered a full-throated denial of one of the authors’ core theories that Meta’s AI system is itself an infringing derivative work made possible only by information extracted from copyrighted material. “This is nonsensical,” he wrote in the order. “There is no way to understand the LLaMA models themselves as a recasting or adaptation of any of the plaintiffs’ books.”
·hollywoodreporter.com·
Sarah Silverman Hits Stumbling Block in AI Copyright Infringement Lawsuit Against Meta
AI’s Spicy-Mayo Problem
AI’s Spicy-Mayo Problem
A chatbot that can’t say anything controversial isn’t worth much. Bring on the uncensored models.
·theatlantic.com·
AI’s Spicy-Mayo Problem
Judge pares down artists' AI copyright lawsuit against Midjourney, Stability AI
Judge pares down artists' AI copyright lawsuit against Midjourney, Stability AI
A judge in California federal court on Monday trimmed a lawsuit by visual artists who accuse Stability AI, Midjourney and DeviantArt of misusing their copyrighted work in connection with the companies' generative artificial intelligence systems.
·reuters.com·
Judge pares down artists' AI copyright lawsuit against Midjourney, Stability AI
Is Argentina the First A.I. Election?
Is Argentina the First A.I. Election?
The two men jostling to be the country’s next president are using artificial intelligence to create images and videos to promote themselves and attack each other.
·nytimes.com·
Is Argentina the First A.I. Election?
Broken dreams, bad predictions and big tech: Five things to know about AI
Broken dreams, bad predictions and big tech: Five things to know about AI
For the last few months, there's one question that I've been asked countless times: What do you think of AI? Here's what I've learned over months interviewing the top AI experts, writes James Purtill.
·abc.net.au·
Broken dreams, bad predictions and big tech: Five things to know about AI
Here’s How Violent Extremists Are Exploiting Generative AI Tools
Here’s How Violent Extremists Are Exploiting Generative AI Tools
Experts are finding thousands of examples of AI-created content every week that could allow terrorist groups and other violent extremists to bypass automated detection systems.
·wired.com·
Here’s How Violent Extremists Are Exploiting Generative AI Tools
OpenAI DevDay, Opening Keynote
OpenAI DevDay, Opening Keynote
Join us for the opening keynote from OpenAI DevDay — OpenAI’s first developer conference.We’re gathering developers from around the world for an in-person da...
·youtube.com·
OpenAI DevDay, Opening Keynote
The Future of AI Is GOMA
The Future of AI Is GOMA
Four companies are taking over everything.
·theatlantic.com·
The Future of AI Is GOMA
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows
The rise of large language models (LLMs) has presented both opportunities and challenges. Leveraging these powerful models for complex applications requires intricate workflows that demand significant effort and expertise. Enter AutoGen, a groundbreaking framework designed to simplify and automate LLM workflows, enabling developers to harness the full potential of models like GPT-4 while addressing their limitations. AutoGen is an open-source project actively developed by a collaborative community. Contributors from diverse backgrounds, including academia and industry, have played pivotal roles in its evolution. With contributions from institutions like Pennsylvania State University and the University of Washington and involvement from product teams
·marktechpost.com·
Microsoft Researchers Introduce AutoGen: An Artificial Intelligence Framework for Simplifying the Orchestration, Optimization, and Automation of LLM Workflows