Geometric Proof of √2, Gemini CLI & Antigravity|Agentic AI, Vibe Coding & Testing/Protecting AI Apps скачать в хорошем качестве

Geometric Proof of √2, Gemini CLI & Antigravity|Agentic AI, Vibe Coding & Testing/Protecting AI Apps

In this session, we combine beautiful math, hands-on tooling, and real-world AI engineering practices—from Andrew Ng’s latest ideas to practical testing and security for AI apps. We start with the Challenge of the Week: Prove that √2 is not a rational number. This time, you’ll see a simple and beautiful geometrical proof—an intuitive, visual way to understand a classic result in mathematics. From there, we move into the latest AI courses and tools we’re using and recommending, including: Google Gemini CLI (in our repo) and the fun Antigravity demo, Agentic AI (Andrew Ng) and how it changes how we design systems, Vibe coding (Andrew Ng’s term for rapid, explorative building), and Landing AI for real-world computer vision and document workflows. Finally, we get practical and opinionated with: How I test the AI apps that I build – a live demo on the Mac How I protect the AI apps that I build – lessons from our AI security book and real projects What We’ll Cover 🧩 Challenge of the Week: Geometric Proof that √2 is Irrational Why √2 cannot be expressed as a fraction of two integers. A geometrical proof that makes the result feel visual and intuitive. How math challenges like this can be used as test cases for AI reasoning. 📚 Latest Courses & Learning Paths Overview of the newest courses we’re following and recommending. How they connect: from Agentic AI to practical tools like Landing AI and Gemini. How to pick what to study next, based on your current level. 🧪 Google Gemini CLI (Our Repo) & Antigravity Demo What the Gemini CLI can do and why a command-line interface matters for developers. How we’ve wrapped it in our repo for easier experiments. A fun Antigravity demo to show how quickly you can prototype with Gemini. 🤖 Agentic AI & Vibe Coding (Andrew Ng) Core ideas from Agentic AI: agents, tools, memory, and multi-step workflows. Vibe coding: what Andrew Ng means by exploring ideas quickly with AI, and when that helps or hurts. How to move from “just vibe coding” to disciplined, testable agentic systems. 👁️ Landing AI How Landing AI fits into the ecosystem for vision and complex document workflows. When to reach for Landing AI vs. generic LLM tools. 🧱 How I Test AI Apps That I Build (Mac Demo) My personal workflow for testing AI apps on a Mac. Examples of: Golden test prompts and expected outputs Scenario-based testing Quick regression checks when prompts or models change How testing ties back to the earlier math challenge and reasoning tasks. 🔒 How I Protect AI Apps That I Build (Book) Key principles from our AI security book for protecting AI systems in the real world. Threats to consider: prompt injection, data leakage, misuse of tools/actions, and more. Practical guardrails and patterns you can adopt right away. Resources Google Gemini CLI (Repo): (Add your repo link here) Antigravity Demo: (Add link or notebook here) Agentic AI / Vibe Coding (Andrew Ng): (Add your slide or reference links here) Landing AI: (Add link to Landing AI or your repo integration here) AI Security Book: (Add your book / GitHub link here) Host: Mark Kerzner –   / markkerzner   ElephantScale Webinars: https://elephantscale.com/webinars/ Keywords Square Root of 2, Geometric Proof, Irrational Numbers, Math Challenge, Google Gemini CLI, Gemini Antigravity Demo, Agentic AI, Vibe Coding, Andrew Ng, Landing AI, Testing AI Apps, Protecting AI Apps, AI Security, AI Governance, AI Engineering, Mark Kerzner, ElephantScale, Weekly AI Webinar. If you enjoy sessions that blend beautiful theory, powerful tools, and real-world engineering, hit the subscribe button and click the bell 🔔 so you don’t miss future challenges and demos.