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".

Recently, a wave of 'Goodbye, Meta AI' has swept across social media platforms. Many users, including high-profile figures such as Tom Brady and musician Cat Power, have taken to Instagram to publish statements aimed at preventing Meta from using their data to train AI models. This phenomenon reflects users' deep concerns about data privacy and the application of AI technology, posing new challenges for tech giants in balancing technological innovation with user rights. Although these statements have no legal binding force, they highlight the growing sentiment among users.

In a recent interview, Meta CEO Mark Zuckerberg shared his views on copyright issues in the AI training process. He pointed out that many creators and publishers often overestimate the actual value of their works. Zuckerberg stated that Meta would collaborate with some significant content creators, but if certain creators require payment, the company would rather choose to forgo using their content. Image source note: Image generated by AI, image licensed from Midjourney. Zuckerberg mentioned, 'I think most creators...

Recently, Google announced it will invest $120 million to establish a new project called the 'Global AI Opportunity Fund,' aimed at promoting artificial intelligence education worldwide. This announcement was made by CEO Sundar Pichai at the first UN Future Summit held in New York. Pichai stated that the fund will collaborate with multiple nonprofit organizations to provide multilingual AI training, helping people in different countries enhance their AI capabilities in today's rapidly evolving digital landscape.

Facebook acknowledged in an investigation that it is collecting publicly available data from all adult users in Australia. The company does not provide an opt-out option for Australians as it does for EU citizens, as privacy laws do not require it to do so.

Getty Images has announced a significant initiative by providing AI developers with a training dataset that includes 3750 high-quality photos across 15 categories, aimed at supporting the development of AI applications. These photos are now available on the Hugging Face platform, and users can access them for free after agreeing to the terms of service and providing their contact information. This move is intended to attract businesses and developers while promoting their paid licensing services. Getty Images claims to have over 572 million photos, with more than 200 million available for commercial use.

In the context of rapid developments in artificial intelligence, Baidu Tieba's 'Stupid Bar' has unexpectedly become an important data source for AI training, challenging traditional perceptions of high-quality data. This community, known for its absurd and humorous content, has outperformed well-known platforms in tests such as Q&A and brainstorming, making it one of the most popular AI training databases. Research shows that the conversational and multi-turn Q&A data from 'Stupid Bar' helps AI come closer to human communication styles. While AI has limitations in understanding human humor, the jokes from 'Stupid Bar' feature tight logic, rich rhetoric, and strong...

Meta Platforms has begun to provide detailed explanations to Brazilian users about how their personal data will be used for training generative artificial intelligence (AI) in compliance with the requirements of the Brazilian National Data Protection Authority (ANPD). The company offers users the option to decide whether to allow the use of their data. Starting this Tuesday, users will receive related information via email and social media notifications. The ANPD had previously suspended Meta's new privacy policy due to concerns about the use of data for AI training, but the policy was reinstated after Meta agreed to provide transparency.

Elon Musk's xAI has announced the launch of an artificial intelligence training system named 'Colossus', powered by 100,000 Nvidia H100 GPUs, which is considered the most powerful AI training system globally. Its performance may even surpass that of the U.S. Department of Energy's Aurora supercomputer. The power of Colossus is largely attributed to Nvidia's H100 GPU, which operates language models at a speed 30 times faster than previous GPUs, especially in transformer-based tasks.