Module Leader in Innovative Product Developmenthttps://blog.javierjia.us.kg/https://blog.javierjia.us.kg/blog/elon-musk-first-trillionaire-rockefeller-fortune/https://blog.javierjia.us.kg/blog/elon-musk-first-trillionaire-rockefeller-fortune/As Elon Musk nears $1 trillion, the story of John D. Rockefeller shows how fortunes of that scale reshape markets, politics and public opinion.Wed, 25 Feb 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/scalable-chain-of-thoughts-via-elastic-reasoning/https://blog.javierjia.us.kg/blog/scalable-chain-of-thoughts-via-elastic-reasoning/Salesforce AI Research developed 'Elastic Reasoning,' a framework that enables Large Reasoning Models (LRMs) to operate effectively under strict output length constraints.Wed, 11 Feb 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/l1-controlling-how-long-a-reasoning-model-thinks-with-reinforcement-learning/https://blog.javierjia.us.kg/blog/l1-controlling-how-long-a-reasoning-model-thinks-with-reinforcement-learning/Researchers at Carnegie Mellon University introduced Length Controlled Policy Optimization (LCPO), an RL-based method that trains large language models to precisely control the length of their reasoning steps.Wed, 04 Feb 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/s1-simple-test-time-scaling/https://blog.javierjia.us.kg/blog/s1-simple-test-time-scaling/Researchers at Stanford, UW, and AI2 developed `s1-32B`, an open-source model that achieves state-of-the-art reasoning performance and clear test-time scaling on challenging benchmarksWed, 04 Feb 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/2025-market-review-money-gold-and-cycles/https://blog.javierjia.us.kg/blog/2025-market-review-money-gold-and-cycles/基于达利欧式宏观逻辑的2025年全球市场深度复盘，分析货币价值、财富转移与大周期的关系Mon, 02 Feb 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/deepseek-r1-incentivizing-reasoning-capability/https://blog.javierjia.us.kg/blog/deepseek-r1-incentivizing-reasoning-capability/DeepSeek-AI developed DeepSeek-R1, an LLM demonstrating that sophisticated reasoning capabilities can emerge through pure outcome-based reinforcement learning without reliance on human-annotated reasoning trajectories. Thu, 29 Jan 2026 00:00:00 GMThttps://blog.javierjia.us.kg/blog/using-mdx/https://blog.javierjia.us.kg/blog/using-mdx/Lorem ipsum dolor sit ametThu, 15 Jan 2026 00:00:00 GMT