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Snorkel AI's recent $350 million Series E funding has catapulted its valuation to $3.5 billion, highlighting the surging demand for quality AI training data.

Seattle Times and Newsday sue OpenAI and Microsoft over unauthorized use of their journalism for AI training, raising critical questions about content ownership and fair use.

The intersection of AI and copyright law raises crucial questions for authors. Is it legal for AI to train on copyrighted works without consent? Let's explore.

Micro1 has reached an impressive $500M gross run rate, reflecting the surging demand for AI training data. Explore the implications for the tech industry.

Amazon's decision to destroy rare texts for AI training raises ethical concerns about preserving cultural heritage in the digital age.

Twitch streamers can now opt out of having their content used to train Amazon's AI. But why was this even an option? Let's explore the implications.

IBM's partnership with OpenAI aims to train thousands of consultants, transforming enterprise AI integration and skills. This collaboration is a game-changer for businesses.

General Intuition is redefining AI training by using gaming data to instill human-like intuition in machines. With a $320 million investment, the future looks promising.

Meta is introducing an internal tool to monitor employee keystrokes and mouse clicks, raising questions about privacy and AI training.

Gig workers like Zeus in Nigeria are training humanoid robots from home, blending technology and everyday life in unexpected ways.

Anthropic's findings reveal a growing skills gap in AI, where experienced users are gaining an edge and raising concerns about job displacement and workforce divides.

DoorDash has launched a 'Tasks' app that allows couriers to earn money by filming tasks for AI training. This initiative raises questions about privacy and gig work ethics.

Sam Altman highlights the significant energy costs of training both AI and humans, urging a conversation on sustainability in learning and technology development.

Explore Amazon Nova's rubric-based judge feature for generative AI. Learn how it evaluates model outputs and the importance of metrics and calibration.