#ai-training

#ai-training

Reddit's prominence as a training ground for AI models means it's an important place for brands to contribute to the conversation, as Google's AI models view commentary on Reddit as more reliably authentic and trustworthy.

Garrett Lord, CEO of Handshake, stated that the data annotation industry is shifting from generalists to needing highly specialized math and science experts. 'They've gotten good enough where like generalists are no longer needed.' This indicates a significant evolution in AI training demands, requiring advanced subject knowledge in areas such as accounting and law, in addition to STEM fields like physics, math, and chemistry.

The project was designed to train the company's AI model to "recognize and analyze facial movements and expressions, such as how people talk, react to others' conversations, and express themselves in various conditions."

Meta argues that generative AI models need large and diverse datasets which can only be achieved through real human discussions found in Facebook and Instagram posts.

"It's an agreement that recognises our value...as a huge client of their organisation, and how important their technology is to help us deliver changes to public services, to make them more in touch, more in tune and better value for money for taxpayers."

"Meta's investment in Scale AI has created a large disruption in our industry, leading to significant opportunities for Appen and its peers to fill the resulting void."

Chhabria noted that the authors did not provide sufficient evidence showing that Meta's AI would harm their market, hence their arguments were not compelling under US copyright law.

Mastodon updated its terms to prohibit the use of user content for AI training, emphasizing user data protection against large language models.

D-GN is building infrastructure that won’t engage with major tech monopolies directly, but aims to transform their impact on the digital landscape.

Applebot-Extended is not new; the documentation clarifies its differentiation from standard Applebot, highlighting its role in AI and ensuring publishers understand crawl permissions.

Often, I find myself at the kitchen table until midnight, reviewing chatbot responses and juggling multiple projects across various platforms to help train AI.

At ODSC East 2025, attendees can engage in 80+ immersive AI sessions designed to equip them with practical skills across various AI domains.

Keysight AI Data Centre Builder aims to enhance AI training performance by emulating real-world workloads, enabling infrastructure validation and optimization of AI components and algorithms.

This search tool is part of The Atlantic's investigation into the Library Genesis data set, highlighting its role in the training of AI—and its inaccuracies.