Harvard University announced on Thursday the release of a high-quality dataset containing nearly one million public domain books, which anyone can use to train large language models and other AI tools. This dataset was created by Harvard's newly established Institutional Data Initiative and is funded by Microsoft and OpenAI. The included books are all works scanned by the Google Books Project that are no longer under copyright protection.

In the digital age, computer chips are getting smaller, but computing problems are becoming larger. With the continuous advancement of AI models, energy consumption and computing demands in data centers are growing exponentially. IBM's recent breakthrough in optical technology promises to transform this situation. Traditional data centers face two major technical bottlenecks: the limitations of copper wire transmission and electronic transmission speeds. Currently, most CPUs are largely idle, simply waiting for data packets to be transmitted. This represents a significant waste of computing resources. Image source note: Image generated by AI, image licensed.

Recently, Microsoft's 'Connected Experience' setting in its Office software has sparked widespread discussion and concern among users. Many are worried that this default-enabled feature may allow Microsoft to use user data from Word and Excel documents to train its artificial intelligence models without obtaining user consent. In response, Microsoft firmly denies these allegations, clearly stating that it will not use customer data without obtaining explicit permission from users. A Microsoft spokesperson told the media: 'At Microsoft...'

Recently, the social media platform Bluesky faced a significant data scraping incident. A machine learning librarian, Daniel van Strien, scraped over one million public user posts from Bluesky's API and uploaded this data to the AI company Hugging Face. The dataset includes users' Decentralized Identifiers (DIDs) and a range of features to search for specific user content.

Recently, OpenAI, in collaboration with the nonprofit organization Common Sense Media, launched a free training course on artificial intelligence (AI) designed to help teachers understand AI technologies and prompt engineering. This new initiative was officially released on Wednesday, aiming to provide educators with the skills and resources to effectively and responsibly integrate AI tools into the classroom. Image source note: Image generated by AI, image licensed from provider Midjourney.

The New York Times and the Daily News encountered an unexpected twist in their copyright lawsuit: an OpenAI engineer inadvertently deleted virtual machine search data that could have been key evidence, adding a dramatic turn to this high-profile legal dispute. According to a letter submitted to the U.S. District Court for the Southern District of New York on Wednesday night, lawyers and technical experts for the two media companies had previously invested over 150 hours searching OpenAI's AI training dataset. However, on November 14, an OpenAI engineer accidentally deleted data stored on the virtual machine.

Recently, xAI engineer Hieu Pham posted an 'explosive' message on social media claiming that xAI's large language model Grok3 had successfully proven the Riemann Hypothesis, leading to a halt in the model's training. This news quickly sparked heated discussions in the AI community, with netizens expressing shock and struggling to discern the truth. After all, the Riemann Hypothesis is one of the seven Millennium Prize Problems, hailed as the 'crown jewel' of conjectures, its difficulty is well understood. Hours later, Pham revealed in another post that it was just a joke.

Recently, NVIDIA unveiled its brand-new Blackwell platform and showcased its initial performance in the MLPerf Training 4.1 benchmark tests. According to the test results, Blackwell achieved a doubling of performance in certain aspects compared to the previous Hopper platform, garnering widespread attention in the industry. In the MLPerf Training 4.1 benchmark tests, the Blackwell platform excels in LLM (Large Language Models).

According to a recent study released by Gartner, it is expected that 80% of software developers will need additional training related to generative artificial intelligence (AI) by 2027. This report reveals a significant trend: as AI technology evolves, companies will increasingly require specialized AI engineers to build AI-driven applications. Gartner's analysts believe that generative AI will undergo three distinct development phases in software development. In the short term, they anticipate a moderate increase in production.

In today's rapidly evolving landscape of artificial intelligence, a court ruling in Hamburg, Germany has sparked fresh discussions regarding the collection and use of data for AI training. This case not only prompts public reflection on the relationship between AI and copyright but also provides important references for the future legal framework of AI development. The incident began when the non-profit organization LAION downloaded a copyrighted image from an image agency website without authorization. LAION paired this image with relevant descriptions and included it in a project named "LAION-5B".