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.

Musk is in financing talks with several large investors from the Middle East, aiming to raise funds for his artificial intelligence startup xAI, with a target valuation approaching $45 billion, nearly double the company's valuation a year ago. According to sources familiar with the matter, xAI is in preliminary discussions with both new and existing investors to seek new funding to compete with OpenAI. OpenAI recently completed over $10 billion in debt and equity financing, while Anthropic and large companies like Google and Meta are also involved.

Elon Musk's artificial intelligence company xAI is currently busy negotiating with investors to raise several billion dollars in new funding. According to The Wall Street Journal, this round of financing is valued at approximately $40 billion, nearly double its current valuation. Founded last year, xAI quickly gained attention shortly after its establishment. In May this year, the company successfully completed a $6 billion Series B funding round, helping it to accelerate its growth. The recent news of additional funding has sparked widespread interest. Musk has consistently emphasized that xAI...

Elon Musk's xAI has finally fulfilled its promise from August by officially launching the API interface for its flagship AI model, Grok. However, this long-awaited API version feels somewhat rushed and basic. Currently, the xAI API only offers a model named "grok-beta." In terms of pricing, input tokens are charged at $5 per million tokens (approximately 750,000 words), while output tokens are charged at $15 per million tokens.

Elon Musk's xAI recently announced the launch of an Application Programming Interface (API) that allows third-party developers to access and build applications and functionalities powered by xAI's Grok large language models. The xAI API enables developers to access the Grok-2 and Grok-2mini models, and supports the generation of loose images using the Flux.1 diffusion model from Black Forest Labs.

In August, Elon Musk's AI startup xAI promised to launch a generative AI model API named Grok, and this promise has finally come to fruition. However, the current API is relatively simple in functionality. Currently, xAI's API only offers one model, 'grok-beta', priced at $5 per million input tokens (approximately 750,000 words) or $15 per million output tokens. Tokens are essentially raw data.

Mukesh Bansal, founder and CEO of Myntra, India's largest fashion e-commerce site, has announced that his latest AI startup, Nurix AI, has successfully secured $27.5 million in seed and Series A funding. Product link: https://www.nurix.ai/ This round of funding was led by renowned venture capital firms General Catalyst and Accel.

Tesla's founder Elon Musk refuted media reports on social platform X regarding a revenue-sharing agreement between Tesla and his AI company xAI. This agreement was said to enhance Tesla's self-driving software, develop a voice assistant, and software for Tesla's humanoid robot Optimus. Musk stated that Tesla indeed received assistance from interactions with xAI, which accelerated the realization of unsupervised FSD, but there is no need to license anything from xAI. He emphasized that xAI's models are too large to be integrated into Tesla.

Tesla CEO Elon Musk denied reports from The Wall Street Journal regarding a revenue-sharing agreement between Tesla and the artificial intelligence startup xAI. Musk emphasized that while Tesla has gained valuable insights from discussions with xAI engineers that help accelerate the implementation of unsupervised FSD, there is no need to obtain any permissions from xAI. He pointed out that the xAI models are too large to run on Tesla's inference computers. xAI, founded by Musk, aims to compete with OpenAI and plans to use data from its various companies to train models and improve technology.

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.

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...

Elon Musk showcased the internal structure of Tesla's Cortex AI supercomputer cluster being built at the Austin headquarters, which is expected to require 130 megawatts of cooling and power upon launch, growing to 500 megawatts by 2026. The cluster contains 70,000 AI servers, primarily used to solve real-world AI issues, particularly for training Tesla's full self-driving system and the AI for the Optimus robot. Cortex will rely entirely on Nvidia's hardware at launch, while Tesla's own hardware is expected.

California lawmakers have passed the SB1047 bill aimed at ensuring AI safety, which is set to be signed by Governor Gavin Newsom. The bill requires AI models with training costs exceeding $100 million to undergo safety testing before release and establishes an emergency stop function in case of accidents. It also mandates reporting to the California Attorney General within 72 hours of an incident and establishes a 'Cutting-edge Model Bureau' to oversee compliance, with substantial fines for violators. This initiative aims to prevent AI misuse, ensure safety, and has garnered support from notable figures in the AI field. However, tech giants have had mixed reactions.

Musk publicly supports California's SB1047 bill, which aims to require large AI model manufacturers to implement safeguards against potential harms. The bill mandates documentation of strategies to prevent serious damage caused by AI. Musk underscores the necessity of AI regulation, consistent with his past concerns about AI risks. His AI company, xAI, will be bound by the SB1047 bill. In contrast, OpenAI opposes the SB1047 bill and supports an alternative proposal. This event highlights the complexity and controversy of AI regulation within the industry.