Thinknote

• What Should Humans Learn When AI Knows Every Answer?

• Six Habits of People Who Get Smarter While Using AI

• AI Token Diet: What Headroom Teaches About Cutting LLM Agent Costs

• Listening to the Universe with Radio Telescopes

• Future Talent in the AI Era: Thinking Power, AI Factories, and Korea’s AI Nation Strategy

• Small Language Models and Open Source AI: Can They Break Big Tech Winner-Take-All?

• AI as a Civilization Shift: How Work and Careers Change in the Plus Human Era

• AI Era Skills: What Demis Hassabis Teaches About Learning, STEM, and Agents

• Turn HWP Documents Into AI Voice Briefings and HTML Share Pages

• How to Prepare for the AI Era: Literacy, Judgment, and Human Value

• Claude Skills for Small Business: From Chatbot to Workflow Automation

• Vibe Coding for Beginners: The IT Map You Need Before AI Writes Code

• Superhuman AI Risk: The Uncomfortable Question Behind If Anyone Builds It, Everyone Dies

• How to Create AI Skills: Turning Prompts Into Reusable Work Automation

• Creative Thinking in the AI Era: Questions, Perspective, and the Power of Reframing

• Antigravity CLI and Obsidian Automation: Turning Notes Into an AI Work Hub

• SGLang for Local LLM Serving: Is It the Next Step After Ollama and vLLM?

• Agentic Engineering: What Comes After Vibe Coding?

• Intellectual Property and Future Technology: Why Innovation Needs Protection

• AI and the Future of Work: Why Meaning Matters More Than Job Loss Predictions

• The End of Unlimited AI Subscriptions: What Claude Pricing Teaches Developers

• Human Value in the Age of AI: What Cannot Be Replaced Easily?

• The Neuroscience of Hate: Why Human Brains Struggle to Understand Each Other

• Newton Science Magazine for Students: Why Visual Science Reading Still Matters

• Knowledge Workers in the AI Agent Era: From Content Producers to Judgment Designers

• AI-Native Workflows: How to Rebuild Work Around a Digital Brain and AI Agents

• AI Personal Assistants: How Much Should We Trust AI Agents?

• Hermes Agent Deliverable Mode: Sending AI Outputs Directly to Chat

• AI Agents and Physical AI: When AI Starts Taking Action

• Harness Engineering: How to Make AI Agents Work Reliably

• Are Development Teams Ready to Operate AI Agents?

• AI Agent Desktop Apps: Why Hermes Agent Points to the Next Interface

• Local LLM on Apple Silicon: What OMLX and Hermes Agent Show in Real Use

• How to Train AI Agents: Building AI-Native Workflows with Hermes Agent

• AI Second Brain: Building a Personal Knowledge System for AI Agents

• How to Build an AI Agent Operating System: A 7-Layer Blueprint

• 금리 인하가 온다면? 예금·채권·배당주 투자 전략

• ETF 투자 열풍, 지금 개인투자자가 꼭 확인해야 할 것들

• 마천동에서 올라 성남으로 내려온 남한산성 산행기: 명리학 오행으로 읽는 숲과 성곽의 길

• 나트랑 1박 2일 로컬투어: 새벽 비행기로 다녀온 해변·맛집·스파 코스

• Hermes Agent 데스크톱 앱: AI 에이전트 대중화의 다음 인터페이스

• 2026년 7월 대한민국 축제 총정리: 지역별·테마별 일정표

• AI Agent 시대, 지식근로자는 어떻게 달라져야 할까

• 사티아 나델라의 다음 승부수: 마이크로소프트는 온디바이스 AI 생태계를 어떻게 바꾸려 하나

• AI가 모든 답을 아는 시대, 인간은 무엇을 배워야 하나

• AI를 쓸수록 똑똑해지는 사람의 6가지 습관

• M5 Pro Max 128GB 로컬 LLM 실사용: OMLX와 Hermes Agent가 보여준 가능성

• AI 에이전트를 학습시키는 법: Hermes Agent로 AI 네이티브 조직 만들기

• 2026년 6월 1일 채용분석: 생산·제조와 돌봄·요양 중심의 채용 흐름

• 보성 녹차밭과 율포해변 하루 코스, 힐링 드라이브로 즐기는 전남 여행