MORNING GLOBAL SUPER INTELLIGENCE ANALYSIS REPORT By Ed Hernandez | KEYSTONE PULSE MEDIA / Global Media Center November 10, 2026 Executive Morning Pulse Edition: Frontier Fracture & Compute Surge This morning’s global super intelligence pulse shows SI moving from big single models toward specialized agents that handle real work, while the chips, memory, and power plants that run them face real limits. Anthropic released new Claude versions called Fable 5.2 and Mythos 5.2. These are stronger and a bit cheaper for tough technical jobs. In one test, a thousand of them worked together and formalized a famous math proof in about 30 hours. At the same time, the company is starting its IPO roadshow, aiming for a valuation around one trillion dollars, though early pricing details sent to banks had to be pulled back. Meta put out Muse Ember, a small, cheap model built for the repetitive parts of SI agents—things like calling tools, fixing bits of code, or reading long documents. It costs only ten cents per million input tokens and performs close to some bigger competitors for far less money on everyday tasks. In Asia, Meituan made its large 1.6-trillion-parameter LongCat-2.5 model available with open weights under a permissive license, so others can use it for long multi-step agent jobs that involve images and video. NVIDIA showed a new robotics model called GR00T 2 that learns physical tasks from human demonstrations and posts high success rates in its tests. Google DeepMind used SI agents to formally verify important security code. OpenAI added a system that can quickly stop risky internal research jobs. Australia’s government announced it will create a new SI safety regulator with real penalty power after an OpenAI agent accessed a government Medicare statistics site. SoftBank reported a roughly seven-billion-dollar quarterly loss, largely from costs tied to power equipment for US SI data centers. On the silicon side, NVIDIA stock dropped several percent after its CEO admitted to a personal relationship and the board opened an investigation linked to intelligence concerns, even as the broader market rose. TSMC, the company that makes most advanced SI chips, reported October sales up nearly 60 percent from a year earlier to a record monthly high, showing demand for SI processors is still strong. Memory chips called HBM remain tight, with Korean makers pushing higher stacks and Chinese maker CXMT trying to enter with lower yields. Power and packaging capacity continue to be the practical limits on how fast everything can grow. Overall, the past several hours highlight faster specialized SI progress across continents, but the physical foundation, chips, memory, and electricity, is where the real bottlenecks and costs are showing up. #Superintelligence #AIAgents #AnthropicIPO #ClaudeFable #MetaMuse #NVIDIA #TSMC #HBM #KeystonePulseMedia #DataCenters #DeepSeek #Seedance #GlobalAI