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Congress wants tech companies to pay up for AI training data

Wired · 1y ago

Congress wants tech companies to pay up for AI training data

During a Senate hearing on AI's impact on journalism, lawmakers from both sides of the aisle agreed that companies like OpenAI should pay media outlets for using their work in AI projects. This consensus reflects a growing sentiment in Washington, DC, that tech giants need to compensate media organizations for the training data that powers their generative AI systems. Media industry leaders at the hearing, including CEOs of the National Association of Broadcasters and the News Media Alliance, supported mandatory licensing and argued that AI companies using their work without permission is infringing on copyright. However, there is less agreement outside of the committee room on whether mandatory licensing is necessary or practical.

Related News

Inside Big Tech's underground race to buy AI training data

Economic Times

Economic Times · 1y ago

Inside Big Tech's underground race to buy AI training data

Photobucket, once a popular image-hosting site, is in talks with tech companies to license its 13 billion photos and videos for training generative AI models. CEO Ted Leonard has discussed rates ranging from 5 cents to $1 per photo and more than $1 per video. The negotiations shed light on the emerging market of data deals for AI training, where tech giants are seeking content beyond the internet scraping approach and are willing to pay for locked content, raising concerns about privacy and consent. The size of the opaque AI data market is estimated at $2.5 billion currently, with forecasts of up to $30 billion in a decade.

Open-source companies are sharing AI free. Can they crack OpenAI’s dominance?

Livemint

Livemint · 1y ago

Open-source companies are sharing AI free. Can they crack OpenAI’s dominance?

As tech giants like OpenAI dominate the artificial intelligence (AI) market, some companies are trying to compete by offering their AI models for free. Open-source AI models appeal to businesses as they provide access to large language models without the need to pay or share data with proprietary vendors. These companies believe they can generate profit by selling business-grade services and applications on top of their open models and by offering additional features and support that enterprises are willing to pay for. However, open-source AI models still face challenges in terms of initial training costs, licensing, and attracting developers.

At Senate AI hearing, news executives fight against “fair use” claims for AI training data

Arstechnica

Arstechnica · 1y ago

At Senate AI hearing, news executives fight against “fair use” claims for AI training data

During a US Senate Judiciary Committee hearing, news industry executives argued for legal clarification that using journalism to train AI assistants should not be considered fair use. They proposed a licensing regime for AI training content, similar to rights clearinghouses for music, that would require tech companies like OpenAI to pay for the content they use. The executives claimed that AI training has led to the closure of newsrooms and decreased media revenues while benefiting Big Tech companies. They insisted that journalism is a human pursuit and cannot be replaced by AI.

A new web3 network is being built right now that wants to end Big Tech’s control of your data

TechCrunch · 1y ago

A new web3 network is being built right now that wants to end Big Tech’s control of your data

A decentralized web network called web3 is being developed to challenge the control of Big Tech over user data. Many web3 advocates believe that the current web ecosystem, known as web2.0, is centralized and exploits user data for the benefit of a few companies. Edge and Node, a company supporting The Graph, a decentralized network organizing blockchain data, aims to create a censorship-resistant internet and empower users. Integrating AI with web3 is another goal, with the belief that data should not be controlled by a single entity, particularly in the AI space. The Graph plans to expand its data services, support developers, enhance network performance, and enable training of AI models in an open-source manner.

X changes its terms to bar training of AI models using its content | TechCrunch

TechCrunch · 1m ago

Social network X has updated its developer agreement to prohibit the use of its content for training AI models. This step ensures that third parties cannot leverage the platform’s data for AI model training without permission. This change follows xAI's acquisition of X, reflecting a strategic move to protect its data assets. Similar measures have been adopted by other tech companies like Reddit and The Browser Company to restrict access for AI crawlers.

Elon Musk agrees that we've exhausted AI training data | TechCrunch

TechCrunch · 6m ago

Elon Musk agrees that we've exhausted AI training data | TechCrunch

Elon Musk and AI experts believe real-world data for training AI models is nearly exhausted, with a shift toward synthetic data anticipated. Musk, alongside Ilya Sutskever, suggests AI-generated data as a solution to this shortage. Companies like Microsoft and Meta already use synthetic data for AI training. While cost-effective, synthetic data poses risks like model collapse and bias if the initial training data is flawed. Despite this, the industry is moving toward AI self-learning with synthetic data.

Indian gig workers toil at frontlines of AI revolution

Economic Times

Economic Times · 1y ago

Indian gig workers toil at frontlines of AI revolution

India is becoming a hub for data annotation services, with flexible workers contributing to build high-quality datasets for training AI models. This sector is predicted to grow rapidly, with estimates suggesting that the global market for data annotations will be valued at $8.22 billion by 2028. In India alone, the market could exceed $7 billion by 2030 and employ up to 1 million workers. Data annotation is crucial for training AI models, ensuring accuracy, and building safety measures against inappropriate content. Companies like Databricks, Fractal, and Tredence are expanding their teams in India for faster and cost-effective data annotation.

Sam Altman wants to solve the great AI chip shortage himself

Business Insider

Business Insider · 1y ago

Sam Altman wants to solve the great AI chip shortage himself

OpenAI CEO Sam Altman is reportedly pitching heavyweight investors to back a new AI chip venture. The plan involves designing chips and setting up a network of fabrication plants to manufacture them. Altman aims to gain more control over OpenAI's chip supply and become vertically integrated, unlike tech companies that rely on third-party suppliers. The plan is costly and challenging but has already garnered interest for its potential to meet the growing demand for AI chips. Currently, shortages of AI chips have caused significant issues for companies, with demand outstripping supply.

Tumblr’s owner is striking deals with OpenAI and Midjourney for training data, says report

The Verge

The Verge · 1y ago

Tumblr’s owner is striking deals with OpenAI and Midjourney for training data, says report

Automattic, the owner of Tumblr and WordPress.com, is reportedly in talks with AI companies Midjourney and OpenAI to provide training data from users' posts. According to a report, Automattic plans to launch a new setting that allows users to opt-out of data sharing, including with AI companies. It is unclear what data has been collected and shared, but the agreement with Midjourney could offer a new revenue stream for Tumblr. Other companies, such as Reddit and Shutterstock, have also struck deals with AI tool makers to provide training data, raising concerns among artists and writers.

Infosys onboards Nadal as ambassador for brand and Infosys’ digital innovation

Livemint

Livemint · 1y ago

Tennis legend Rafael Nadal teams up with Infosys for an AI-driven match analysis tool. This collaboration, Nadal's first with a digital services company, combines real-time match insights with historical data. Infosys, a digital innovation partner for ATP Tour and major tennis events, has revolutionized the tennis ecosystem with AI, cloud, and data analytics solutions, enhancing fan engagement and player training. They've pioneered video analysis, AI-assisted journalism, and sustainable tech like the Carbon Tracker.

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