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OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

Recently, Ryan Roslansky, CEO of LinkedIn, stated that the number of job postings mentioning AI on the platform has increased sixfold over the past year. At the same time, the number of users adding AI skills to their profiles has shown even more significant growth, increasing by a full twentyfold. This change indicates that an increasing number of professionals are reshaping their career identities by incorporating AI-related skills, even if their actual experience may not be extensive. Roslansky

Tech media The Information reported that since 2021, employees and former employees of the artificial intelligence giant OpenAI have collectively cashed out nearly $3 billion through multiple stock sales. For a company only six years old, such a large-scale employee wealth realization is rare, even approaching the level of employees at Elon Musk's SpaceX. The report revealed that Japan's investment giant SoftBank has become the largest buyer of OpenAI employee shares. This spring, SoftBank purchased shares from a small group of current and former employees.

OpenAI announced a major price cut of 80% for its flagship reasoning model o3 and simultaneously launched the high-performance o3-pro model. This move significantly reduces developer costs, triggering a new round of competition in the AI market. o3 Price Drop Significantly OpenAI has made significant adjustments to the pricing of the o3 model as follows: Input Tokens: Original price was $10 per million tokens, now reduced to $2 per million tokens. Output Tokens: Original price was $40 per million tokens, now reduced to $8 per million tokens. Cached Input Tokens: An additional 75% discount is provided.

Mark Stevens (NVIDIA Corp.) sold over one million shares of the company's stock this week, with the total transaction value approaching $150 million. This move comes after NVIDIA's stock experienced some volatility and has seen a recent recovery in its price. According to documents released by the U.S. Securities and Exchange Commission (SEC) on Wednesday, Stevens' stock sales were conducted in two separate transactions on Monday and Tuesday. As NVIDIA's performance in the market gradually improves...

According to reports from the Financial Times, Elon Musk's artificial intelligence startup xAI is launching a stock sale plan worth $300 million. This plan is believed to be conducted in the secondary market with the aim of allowing company employees to sell their shares to new investors. The valuation of this stock sale reached $113 billion (approximately RMB 813.67 billion), showing the high attention the market pays to xAI. Previously, xAI was valued at $33 billion.

Zhipu BigModel's open platform has adjusted prices for several of its model offerings. GLM-4-FlashX, for example, is now priced at just 10 RMB per 100 million tokens. Built on a powerful pre-trained base, this model boasts exceptionally fast inference speeds and functional capabilities comparable to GPT-4, excelling in data extraction, generation, and translation.

Hugging Face announced the launch of the open-source humanoid robot, Reachy2, through the acquisition of French startup Pollen Robotics. This news sparked significant discussion on social media and within the AI community, considered a major milestone in the convergence of humanoid robotics and generative AI. Designed as a lab partner for AI research and education, Reachy2's open-source nature, advanced capabilities, and human-centric design have quickly made it a focus for top labs globally.

According to a recent report by the International Energy Agency (IEA), the proliferation of AI applications is projected to double data center electricity consumption by 2030, posing significant challenges to global energy security and carbon emission reduction goals. Data centers currently account for approximately 1.5% of global electricity consumption, with an average annual growth of 12% over the past five years. The rise of generative AI is further fueling the demand for massive computing power. The United States, Europe, and China together account for roughly 85% of global data center electricity consumption. Major tech companies have already...