Don’t let what hurt you turn you into someone you’re not. Protect your peace, keep your boundaries, and never lose the goodness that makes you who you are.
Every local minimum is global.
When both the objective and the feasible set are convex, a point that cannot be improved in any neighborhood cannot be improved anywhere. The geometry itself forbids hidden valleys; first-order stationarity is already optimality.
The same fact, isolated in the study of convex bodies around 1900, is why linear programs, positive-semidefinite quadratic programs, and a wide family of modern learning problems can be solved to proven global optimality.
Andrew Ng just released a 1-hour course on building agentic knowledge Graphs from scratch:
00:00 - Introduction to agentic knowledge Graphs
03:07 - Construction of agentic Graphs
14:00 - Architecture of multi-agent systems
23:00 - Building agentic graphs with Google ADK
01:06:03 - Why Graphs are the future of agentic AI
Worth more than 10 articles on loop engineering.
Watch it today, then read how to become a graph engineer in the article below.
instead of watching Netflix tonight, give 2 hours to this video
Codex GPT-6 Astra FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
I've seen $500 courses that teach less than this video alone.
Watch it and Bookmark it now.
Don't waste 2 years learning to become an AI agentic engineer in 2026.
Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.
1 hour course. Free:
• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems
I watched it last night.
Halfway through, I realized I could get into Anthropic in weeks, not years.
Bookmark now. Watch it. Then build your own AI agent
🏃 Physical win — walking, running, lifting, swimming, etc.
🧠 Mental win — reading, writing, creating, learning, research.
🧘 Spiritual win — praying, meditating, studying, reflecting, growing.
The main idea is: make at least one meaningful action every day in each area.
Machine learning models show great potential as assistive tools in healthcare. We present a framework for understanding medical imaging models, which leverages Gen AI & expert review to identify and interpret visual cues associated with model predictions. https://t.co/0lsW78ifb9