Archive - The AI Thinker

💼 Navigating the AI-native workplace

Embrace AI as a fundamental operating principle to unlock unprecedented speed, empower autonomous teams, and strategically redefine roles for future…

Jul 15 •

21:04

🤝 Navigating the human-AI emotional frontier

As human-AI emotional connections deepen, proactively aligning AI's socioaffective capabilities with user well-being is critical for sustainable…

Jul 14 •

20:05

🌐 Charting the future of AI-powered web research

Harnessing LLMs for web research offers significant gains, but success demands understanding their strengths, limitations, and the interplay between…

Jul 11 •

14:57

📊 From guesswork to ground truth: the AI eval blueprint

Mastering LLM eval and embracing an experiment-driven roadmap is paramount to rapidly iterate, build trust, and ensure AI products deliver tangible…

Jul 10 •

27:10

✨ Mastering context engineering for AI agentic innovation

Unlocking the potential of AI agents demands a laser focus on context engineering and robust system design, shifting the imperative from mere prompting…

Jul 9 •

22:49

🧭 A navigator's guide to the AI trust paradox

How to manage a workforce where 45% of employees fear for their jobs while 90% of AI users report massive time savings, turning this internal conflict…

Jul 8 •

5:45

📰 Industry memo: the last two weeks in AI and why the AI agent is now the new OS

Deconstructing the last two weeks of release notes from major AI players to reveal the strategic pivot to autonomous execution.

Jul 7 •

5:17

June 2025

🎓 Forget solvers, build teachers: the efficiency breakthrough in AI reasoning

How Reinforcement-Learned Teachers (RLTs) use dense rewards and a focus on explanation to unlock latent teaching skills in small models, creating a more…

Jun 27 •

5:34

🎨 Hacking the AI's "taste": a designer's guide to creative prompting

Listen now | Learn unconventional techniques like feeding AI K-pop videos, asking it to channel Apple's design philosophy, and making it document its…

Jun 26 •

4:18

🛠️ Why AI agents fail (and why that's good news)

A simple mathematical model explains the unpredictable nature of AI agents. Understanding this "constant failure rate" is the key to building more…

Jun 25 •

5:44

💡 The "personal computer" moment for AI hasn't happened yet

Listen now | An analysis of Karpathy's AI "mainframe" moment, and the "Iron Man suit" strategy you need to adopt now

Jun 24 •

5:02

🛠️ AI shipments last week: your toolkit for building just arrived

Last week wasn't about new foundational models; it was about getting powerful tools, speed, and customization into every developer's hands.

Jun 23 •

7:43

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