Nvidia, the leading AI chipmaker, has reportedly acquired San Diego-based startup Gretel, a company specializing in a platform for generating synthetic AI training data. Wired reports the acquisition was a nine-figure deal, exceeding Gretel's recent $320 million valuation, though specific terms remain undisclosed. Founded in 2019 by Alex Watson and Laszl...

HPC-AI Tech recently announced Open-Sora 2.0, a groundbreaking video AI system achieving commercial-grade quality at approximately one-tenth the typical training cost. This represents a potential paradigm shift in the resource-intensive field of video AI, mirroring efficiency gains seen in language models. While existing high-quality video generation systems like Movie Gen and Step-Video-T2V can cost millions of dollars to train, Open-Sora 2.0 offers a significantly more affordable alternative.

Meta is reportedly testing a self-designed chip for training AI systems, a move to lessen its reliance on hardware vendors like Nvidia. According to Reuters, the chip, manufactured in collaboration with Taiwan Semiconductor Manufacturing Company (TSMC), is specifically designed for AI workloads. Currently undergoing small-scale testing, Meta plans to expand production if the tests are successful. Image caption.

Over 1000 artists have released a silent album as a protest against the UK government's decision to sell music copyright to artificial intelligence companies.

The UK government is considering amending laws to allow AI companies to use creators' online content to train their models unless creators explicitly opt out of the system. This move has sparked strong opposition from the music industry, with former Beatles member Paul McCartney openly expressing his concerns, warning that it could lead to a 'Wild West' scenario where creative works lose the copyright protections they deserve. In an interview with the BBC, McCartney urged the government to reconsider this approach and emphasized the potential threat it poses to emerging artists: 'Young boys, girls...'

Meta CEO Mark Zuckerberg recently defended the company's use of copyrighted data in AI training by referencing YouTube's battle against pirated content in a legal lawsuit. The case, titled 'Kadrey v. Meta', is one of numerous copyright lawsuits against AI companies currently in U.S. courts, with plaintiffs including notable authors Sarah Silverman and Ta-Nehisi Coates. According to recently released excerpts from Zuckerberg's testimony, he pointed out that while there may be instances of...

In a recent live conversation, Tesla and SpaceX CEO Elon Musk stated that the real-world data available for training artificial intelligence models is nearly exhausted. He was in discussion with Mark Penn, Chairman of Stagwell. Musk mentioned, "We have basically consumed all the accumulated knowledge of humanity... for AI training data. This phenomenon essentially occurred last year." Musk's viewpoint aligns with that of former OpenAI Chief Scientist Ilya Sutskever.

The World Economic Forum recently released the "Future of Jobs Report 2025," revealing an intriguing contradiction: while artificial intelligence (AI) is seen as a technology that will replace certain jobs, global companies are more inclined to retrain existing employees rather than resort to layoffs. The report surveyed 1,000 companies worldwide, and the results showed that about 41% of companies plan to cut positions that AI can handle, while 77% focus more on training current employees in AI skills. This trend highlights that many companies wish to adapt to AI through retraining.

In recent years, training large language models (LLMs) has become increasingly expensive and complex, with only a few major tech companies possessing the necessary computing resources. However, Google has recently introduced a new method called SALT (Small Model-Assisted Large Model Training), which could fundamentally change the landscape of AI training. Image Source Note: The image was generated by AI, and the image is authorized by service provider Midjourney based on the latest research papers from Google Research and DeepMind, 'A Little Help Goes a Long Way: Leveraging Small Language Models...'

The Ministry of Industry and Information Technology, the State-owned Assets Supervision and Administration Commission of the State Council, and the All-China Federation of Industry and Commerce jointly issued the 'Implementation Guide for Digital Transformation of Manufacturing Enterprises'. It emphasizes that promoting the digital transformation of manufacturing enterprises is a systemic project that should start from the actual development of enterprises, aim to solve pain points and difficulties faced by enterprises, be guided by enhancing overall factor productivity, and take scenario digitization as the entry point. It requires a comprehensive consideration of technological maturity, economic feasibility, and sustainability of business models to accurately identify priority areas and key directions for digital transformation.