AI

Mutually Assured AI Malfunction (Robert Wright & Dan Hendrycks) podcast https://www.nonzero.org/p/mutually-assured-ai-malfunction

Youtube: https://www.youtube.com/watch?v=O9P-fjSzJzs 
The Dangerous US-China Race to AGI and Beyond

Superintelligence Strategy  https://www.nationalsecurity.ai/
Dan Hendrycks Eric Schmidt Alexandr Wang Destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict, while widespread proliferation of capable AI hackers and virologists would lower barriers for rogue actors to cause catastrophe.. Mutual Assured AI Malfunction (MAIM): a deterrence regime resembling nuclear mutual assured destruction (MAD) where any state’s aggressive bid for unilateral AI dominance is met with preventive sabotage by rivals. Given the relative ease of sabotaging a destabilizing AI project—through interventions ranging from covert cyberattacks to potential kinetic strikes on datacenters—MAIM already describes the strategic picture AI superpowers find themselves in. 

Deterrence Detect and deter destabilizing AI projects with (cyber) espionage and sabotage 
Nonproliferation Reliably know the location of AI chips and prevent rogue actors from smuggling them
Competitiveness
Guarantee access to AI chips through domestic manufacturing

 Deepseek Destroys American AI | How China Is Winning The Tech War | Where Is India?   | Akash Banerjee https://www.youtube.com/watch?v=naJO1zxB6_Qs 
The Deshbhakt

 China Launches 504-Qubit Superconducting Quantum Computer, “Tianyan-504” https://quantumcomputingreport.com/china-launches-504-qubit-superconducting-quantum-computer-tianyan-504/

https://economictimes.indiatimes.com/news/international/us/you-thought-china-was-behind-researchers-develop-record-breaking-504-qubit-quantum-computer-that-can-challenge-the-best/articleshow/116147947.cms?from=mdr You thought China was behind? Researchers develop record-breaking 504-qubit quantum 

China develops record-breaking 504-qubit quantum computer powered by Xiaohong chip https://www.youtube.com/watch?v=kOg4NnCvWOg

DeepSeek: Is this China’s ChatGPT moment and a wake-up call for the US?https://indianexpress.com/article/technology/artificial-intelligence/deepseek-is-this-chinas-chatgpt-moment-and-a-wake-up-call-for-the-us-9799686/ 
Chinese AI lab DeepSeek released two new AI models this month. Their limited use of resources to achieve extraordinary results is making the world take notice.  ..The Chinese lab has created something monumental—they have introduced a powerful open-source AI model that rivals the best offered by the US companies. Since AI companies require billions of dollars in investments to train AI models, DeepSeek’s innovation is a masterclass in optimal use of limited resources.  ..

Even as AI companies in the US were harnessing the power of advanced hardware like NVIDIA H100 GPUs, DeepSeek relied on less powerful H800 GPUs. This could have been only possible by deploying some inventive techniques to maximise the efficiency of these older generation GPUs. 

https://www.youtube.com/watch?v=WEBiebbeNCA  How China’s New AI Model DeepSeek Is Threatening U.S. Dominance

https://www.perplexity.ai/search/tell-me-about-yourself-xwLDeJHdTNCL5gRUyaYphQ 

https://www.perplexity.ai/search/what-is-perplexity-ai-AWkRzywZRmKewduLu3tBqg 

https://techcrunch.com/2025/01/27/deepseek-punctures-tech-spending-plans-and-what-analysts-are-saying/   While brokerage firm Jefferies warns that DeepSeek’s efficient approach “punctures some of the capex euphoria” following recent spending commitments from Meta and Microsoft — each exceeding $60 billion this year — Citi is questioning whether such results were actually achieved without advanced GPUs.

Goldman Sachs sees broader implications, suggesting the development could reshape competition between established tech giants and startups by lowering barriers to entry.  especially with recent new models developed at a fraction of the cost of existing ones; 2) from training to more inferencing, with increased emphasis on post-training (including reasoning capabilities and reinforcement capabilities) that requires significantly lower computational resources vs. pre-training; and 3) the potential for further global expansion