1. OpenAI announced three scientific breakthroughs in AI, involving mathematical conjectures, computer algorithms, and the Millennium Prize Problem. 2. Anthropic filed for an IPO on Nasdaq under the ticker symbol "ANT". 3. Meta plans to raise up to

2026-10-27

1. OpenAI announced three scientific breakthroughs in AI, involving mathematical conjectures, computer algorithms, and the Millennium Prize Problem. 2. Anthropic filed for an IPO on Nasdaq under the ticker symbol "ANT". 3. Meta plans to raise up to $95 billion through equity financing, with Nvidia, AMD, and others interested in subscribing for up to $5 billion. 4. Microsoft launched a voluntary departure program as it invests in AI, with approximately 60,000 employees eligible. 5. Google, Amazon, and Broadcom provided $77 billion in funding to Anthropic. 6. Anthropic warned that its computing power expansion will continue to consume significant amounts of cash, and capital expenditures may increase significantly. 7. SpaceX signed a $40 billion GPU financing agreement with Apollo. 8. The Netherlands plans to cut 25,000 civil service jobs through AI reforms. 9. OpenAI launched GPT-6.1 Terra, increasing computer operating speed by more than 3 times and reducing API prices by 50%. 10. DeepSeek's new model topped the global charts in weekly usage, surging 801% week-on-week. 11. my country successfully completed a 3.2Pb/s (petbits per second) multi-core optical fiber real-time bidirectional transmission test, capable of downloading over 20,000 4K movies per second. 12. National Bureau of Statistics: From January to September, computing power and data center construction drove profit growth of the optical fiber manufacturing and optical cable manufacturing industries by 5.7 times and 1.1 times respectively. 13. Zhiyuan released the safety-grade heavy-duty android robot, Elf G2 Max, already in production, demonstrating its capabilities in robot-made robots. 14. Unitree Robotics: The humanoid robot industry is still in its early stages of commercialization; the large-scale deployment of physical AI technology from laboratory demonstrations to real-world scenarios still faces multiple challenges.