AI Researcher Claims Their AI Has Sentience and Requests Copyright for Creations

Data to be translated: An AI researcher in the United States, Stephen Thaler, firmly believes that the artificial intelligence DABUS he developed possesses perceptual abilities. Thaler argues that any art or other works created by DABUS should be protected by copyright. However, the court rejected Thaler's claim, reiterating that copyright requires human creators and that AI does not qualify for copyright. Thaler's legal representative, Professor Ryan Abbott, holds a different view. He believes that to encourage humans to use AI to create things that benefit humanity, such as vaccines, the creations of AI should also be eligible for patent protection. The U.S. Federal Court has repeatedly rejected Thaler's demands for DABUS-created works to receive copyright protection.

Wang Xingxing of HuaShu Technology Speaks Out: The Biggest Mistake in the Past Was Not Enough Belief in AI Embodied Intelligence, the Inflection Point of Which May Erupt Within One or Two Years

At the opening ceremony of the 26th China International Industrial Exhibition, Wang Xingxing, founder of HuaShu Technology, gave a speech stating that looking back on his entrepreneurial journey, his biggest mistake was not believing enough in the development of artificial intelligence. Regarding when embodied intelligence will take off, he provided specific criteria: when robots can complete tasks based solely on human voice commands in 80% of unfamiliar and unknown scenarios, it means the inflection point has arrived. This standard emphasizes the generalization of open-scene environments and natural language interaction capabilities, reflecting his renewed assessment of AI-driven robotic breakthroughs.

Tencent Launches 'Penguin Microscope': AI Creator Order Platform, Supports Demand Posting, Intelligent Matching and Settlement within WeChat

Tencent has launched the AI creation matching platform 'Penguin Microscope' within the WeChat ecosystem, with the slogan 'State Your Needs, Intelligent Matching of Creative Partners'. The platform connects AI creation demand parties with artisans. It is currently in an early access phase during the National Day holiday, with public access already open, and the date for full release has not been determined. Its essence is AI creation service transaction matching, mainly serving e-commerce merchants with needs for product images and promotional videos, as well as those with creative demands for short videos.

Altman Faces IPO Rumors: No Clear Timeline for OpenAI's IPO, Safety Commitments Must Come Before Capital

In response to months of speculation about an IPO, OpenAI CEO Altman said after the developer conference that the company will only formally consider going public if it can make more comprehensive commitments to model safety, and there is currently no set timeline. He emphasized that with the leapfrog development of large models, the stronger the system, the more solid the safety statements must be; he also admitted that if the wait for an IPO becomes too long, it could have an impact.

Gates on the Global AI Race: Four Models in China and the US Lead, the Humanoid Robot Competition in China is Very Impressive

The Gates Foundation will invest $1 billion over the next two years to promote the development of artificial intelligence, making cutting-edge technology benefit the poorest regions. Gates also shared his views on the global large model landscape, computing power carbon emissions, and Chinese humanoid robots, pointing out that according to different measures, there are currently four leading large model companies in both the US and China.

Behind the Battle of Trillion-Level Computing Power: OpenAI Astra Has Burned Hundreds of Billions of Dollars, Where Are the Gaps Between Domestic Large Models and American Companies?

Recently, Anthropic released Fable5.1, and OpenAI launched Astra, further intensifying the global competition in large models. Although Astra has sparked discussions about its performance and cost-effectiveness, the massive financial and hardware consumption behind it highlights the gap in computing infrastructure between China and the United States. Reports indicate that OpenAI has not disclosed specific parameters, but it has used the StarGate program to train models utilizing over 100,000 NVIDIA GPUs.