😢 Creators Being Ripped Off

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Hello, AI Enthusiasts!

On this edition of AI Secret, we delve right into a startling trend: the reliance of tech giants on an in depth trove of YouTube videos and pirated movies to coach their AI systems.

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TODAY’S AI SECRET:

  • Tech giants trained AI using hundreds of YouTube videos and pirated movies.

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  • An AI video shared by Musk imitates Harris’ voice.

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  • Tesla FSD Improvement Milestone: Elon Musk shows Tesla’s FSD 12.5 achieves zero interventions on a route where Beta 10 required eight.

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AI IN TRAINING

Tech giants trained AI using hundreds of YouTube videos and pirated movies.

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Runway is a widely known AI video generation company. It has been accused of using a considerable amount of content, possibly without permission, from platforms like YouTube to coach its advanced video generation tool, Gen-3.

The Details:

  • Content Sources: The interior documents reveal Runway’s use of popular media content from YouTube, including material from major brands and influencers, for training its AI model.

  • Training Methodologies: It was disclosed that Runway utilized scraping techniques to collect video data, employing proxies to avoid detection and potential blocks by content providers like Google.

  • Impact and Responses: Following the exposure, there was a big backlash from the community and stakeholders, including investors and platform owners like Google, highlighting concerns over copyright and ethical practices in AI training.

  • Legal and Ethical Questions: Using scraped content, including potentially pirated material, poses serious questions on the legality and morality of Runway’s data acquisition strategies.

Coincidentally, Apple, Nvidia, and Salesforce are also doing similar things:

  • Unsanctioned Data Use: Proof News reveals that AI giants like Apple, Nvidia, and Salesforce have utilized subtitles from over 173,536 YouTube videos from greater than 48,000 channels for AI training purposes, flouting YouTube’s explicit rules.

  • The Culprits: Major Silicon Valley firms including Anthropic, Nvidia, Apple, and Salesforce are identified as users of this controversial data, with AI training involving educational and entertainment content from distinguished channels.

  • Ethical and Legal Ramifications: Using these videos raises significant ethical questions and potential legal violations concerning copyright laws and the rights of content creators.

Why It Matters:

This revelation is crucial because it exposes a systemic issue throughout the AI development sector regarding data acquisition ethics. The practice of using content without creators’ consent not only undermines the trust and integrity of AI corporations but in addition poses significant risks to the livelihoods of content creators.

The controversy it sparks is important for pushing towards more transparent, fair, and controlled practices in AI development, ensuring that innovation doesn’t come on the expense of ethical values and legal standards.

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AI IN POLITICS

An AI video shared by Musk imitates Harris’ voice.

Kamala Harris

There are growing worries in regards to the misuse of AI in politics, particularly regarding a manipulated video of Vice President Kamala Harris that circulated widely online. This example underscores the difficulties and potential risks of AI-generated content because the U.S. heads into an election.

The Details:

  • Video Content: The manipulated video features an AI-generated voice impersonating Harris, making derogatory and false statements, alongside visuals from her real campaign ad.

  • Public Response: The video was shared by Elon Musk on his platform X, drawing significant attention and views without clear indication of its satirical nature.

  • Policy and Regulation: The incident underlines the dearth of stringent federal regulations controlling AI misuse in politics, with current oversight mostly left to states and social media platforms.

Why It Matters:

As such technologies turn into more accessible, they not only serve entertainment but in addition pose substantial risks for misinformation. This raises critical questions on the responsibilities of social media platforms and the necessity for clearer regulations to forestall the spread of doubtless harmful, manipulated media.

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