This edition contains 29 AI stories. Its highest-ranked story is “What happens to AI if the US can't build data centers?”. The most represented story angles are Company, Models, Business.
If the US halts new data center projects due to power and policy constraints, the growth of computing power will face a massive roadblock. While current models will run fine, training the next generation of AI will slow down significantly, forcing the industry to prioritize energy efficiency and token limits.
Baidu just dropped its new Ernie 5.5 Flash Preview model, focusing heavily on advanced programming capabilities. Beyond writing simple code, this model can independently handle complex end-to-end tasks like generating 3D environments, building playable games, and editing videos using automated loops, matching top-tier global competitors.
According to Google DeepMind: Google has officially released Gemini 4 Carbon, its most powerful AI model designed for complex coding, scientific research, and cybersecurity tasks. It builds on the earlier Argon model by offering deeper reasoning, multi-agent workflow support, and top-tier performance on industry benchmarks at a low cost.
Alibaba has applied to spin off its in-house chip unit, T-Head, for an independent listing in Hong Kong. As the company accelerates its external commercialization and grapples with heavy AI infrastructure costs, this move allows the chipmaker to directly tap capital markets.
According to AWS Machine Learning: Moonshot AI's Kimi K3.1 Pro Highspeed is now available on Amazon Bedrock, bringing 2 to 3 times faster output generation. It retains the powerful 1-million-token context window while adding major boosts for complex coding, financial modeling, and agentic workflows.
