#monetary policy
31 related articles
·6 min
1X NEO Robotic Hand and GPT-5.6: A Full Breakdown of Dual Breakthroughs in Robot Hardware and Software
1X releases a new robotic hand for the NEO humanoid robot—25 DOF, force transparency, and tactile skin enabling data self-labeling. OpenAI launches the three-tier GPT-5.6, boosting coding and cost-efficiency. Hardware and AI brains evolve together, accelerating humanoid robot commercialization.
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·6 min
Bernanke Joins the Anthropic Trust: A Breakthrough Approach to AI Corporate Governance
Former Fed Chair Bernanke joins Anthropic's Long-Term Benefit Trust, marking AI governance's entry into the era of cross-disciplinary experts. A deep look at Anthropic's unique trust structure and its impact on responsible AI.
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·5 min
AlphaEvolve Goes Commercial: Google Cloud Opens Algorithm Discovery to Solve Enterprise Optimization Challenges
Google is bringing AlphaEvolve to Cloud enterprise customers. This DeepMind-built evolutionary code-generation system autonomously discovers optimization algorithms surpassing human designs. A deep dive into its principles, use cases, barriers, and industry impact.
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·6 min
OpenAI's Head of Evals: We've Been Consistently Underestimating What AI Models Can Really Do
OpenAI Frontier Evals lead Tejal Patwardhan reveals AI models are systematically underestimated — reasoning breakthroughs, wet lab records, the internal AGI Index, and a progress curve far steeper than most realize.
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·5 min
U.S. Treasury Warns of AI Bubble Risk: Systemic Concerns and Investment Rationality
The U.S. Treasury has issued a rare internal warning that the AI investment boom may be forming an asset bubble, with valuations detached from fundamentals and systemic risks mounting.
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·7 min
Metacognitive Feedback: Using Reinforcement Learning to Help LLMs Accurately Express Uncertainty
LLMs are often overconfident and prone to hallucination. How can AI learn to say "I'm not sure"? This article explains the reinforcement learning approach with metacognitive feedback and how calibrating confidence boosts LLM trustworthiness.
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·6 min
Benchmarking as Data Activation: Giving Domain Data a Direction to Climb
How benchmarking transforms dormant domain data into an AI optimization engine. From healthcare to law to manufacturing, building vertical benchmarks activates proprietary data and builds a strategic moat.
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·3 min
Building an Automated Penetration Testing System with Claude: A Deep Dive into Memory, Skills, and Agent Architecture
A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.
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·3 min
A Designer with Zero Coding Experience Built a Paid Mini Program in Two Weeks Using AI — Full Story
Designer Uncle Zhan, with zero coding experience, used Claude, ChatGPT, and DeepSeek to independently build a paid WeChat mini program in two weeks. Full breakdown of his workflow and costs.
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Deep Dives·1 min
TradingAgents-Astock: In-Depth Analysis of an Open-Source Multi-Agent Investment Research Framework for China's A-Share Market
In-depth analysis of TradingAgents-Astock, an open-source multi-Agent investment research framework for China's A-shares with 7 analysts, quality gates, and zero-cost data sources.
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Deep Dives·2 min
How to Build an E-commerce Customer Service AI Agent? Deconstructing the Ecommerce-Agent Open Source Project with LoRA + DPO + ReAct
Deep dive into the Ecommerce-Agent open source project: how LoRA fine-tuning, DPO alignment, and ReAct reasoning combine to build a production e-commerce customer service AI Agent.
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