#Great Stagnation
6 related articles
·3 min
AI Large Language Models for Beginners: Core Concepts and Chinese Model Landscape
New to AI? This guide clarifies AI, machine learning, deep learning, and LLMs, traces milestones from Deep Blue to DeepSeek, and maps out China's LLM landscape.
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·2 min
AI Investment at the Expense of Employee Salaries: Who Pays the Price for Corporate Transformation?
When CEOs announce "no raises — we're investing in AI," employees become the hidden underwriters of the corporate AI arms race. A deep dive into the cost-shifting logic, morale risks, and smarter paths forward.
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·4 min
Electrical Engineer to AI Engineer: A Real Story and Practical Transition Roadmap
A 6-year electrical engineer from Brazil weighs transitioning to AI engineering. This deep-dive covers the stability vs. freedom tradeoff, transition advantages, and a practical roadmap for engineers with similar backgrounds.
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·6 min
Does AI Adoption Actually Lead to More Hiring? Explaining This Counterintuitive Phenomenon
Growing data shows companies aggressively adopting AI are actually hiring more. This article explores the overlooked complex relationship between AI and employment through the Jevons Paradox, new job creation, and competitive divergence.
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·3 min
Stripe Data Reveals an AI Startup Explosion: A New Business Paradigm Where New Company Creation Has Doubled
Stripe data shows new business creation nearly doubled YoY, surpassing pandemic peaks. A deep analysis of how AI is transforming startup speed, vertical SaaS, and global entrepreneurship.
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Research·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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