Researchers have proposed the 'Human Identity Credentials' (PHC) system as a new alternative to traditional CAPTCHA verification, aimed at confirming online users as real humans. This system provides a unique identity credential for each user through zero-knowledge proof encryption technology, which is stored on personal devices to protect privacy, serving as a replacement for CAPTCHA and biometric verification. However, the system faces issues such as credential abuse, concentration of power, and barriers to use. The research suggests that governments should test the feasibility of PHC through pilot projects, while calling on tech companies to take responsibility for the problems arising from AI, such as misleading AI outputs.

SoftBank recently officially announced the acquisition of the UK artificial intelligence chip company Graphcore, making it a fully-owned subsidiary. Although the specific transaction amount has not been publicly disclosed, Graphcore co-founder and CEO Nigel Toon stated that this is a positive outcome for most people. Graphcore was founded in 2016 and is headquartered in Bristol, UK, where it developed a new processor called the "Intelligent Processing Unit" (IPU). Unlike the Graphics Processing

UK AI chip company Graphcore has laid off most of its employees in China and stopped sales in the country due to increased U.S. export controls. Once a popular startup in Europe, Graphcore is now facing losses, order losses, and funding difficulties. The company's CEO pointed out that the Chinese market accounted for 20% to 25% of its revenue, and the layoff decision will impact its development in China. Graphcore is struggling with bad luck, management mistakes, and software issues, leading to unclear business direction and low morale. The UK government has not included Graphcore in its domestic support.

["Google DeepMind has released GraphCast, a global weather AI model that accurately predicts the weather for the next 10 days in just 1 minute.", "Trained on data from the European Centre for Medium-Range Weather Forecasts, it boasts an accuracy rate of over 90%.", "The model is open source, driving significant advancements in the field of weather forecasting.", "GraphCast demonstrates superior performance in extreme weather prediction and cyclone tracking.", "This model marks an innovative step forward in the field of weather forecasting, providing a powerful tool for future meteorological research."]