🎙️ EP 388: Alleged Chinese Spy Plot Targets Nvidia’s CEO & Anthropic’s Self-Monitoring AI!

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Want to make 3D motion graphics without learning After Effects? Follow two practical AI animation methods using ChatGPT and Google Flow. Start with frames from a video you like, or turn a simple idea into a storyboard, video prompts, and finished clips. 🎬

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! AI coding agents can build working apps fast, but they can also miss basic security mistakes. I tested 4 security approaches on an app with 6 deliberate vulnerabilities — and the results were surprisingly different. We’ll talk about: Cloudflare Security Skill: It found all 6 planted bugs, though several still needed independent validation. Claude Code Security Review: /security-review caught 4/6, especially logic bugs like broken access control and data leaks. One Simple AI Prompt: A single sentence found 5/6 vulnerabilities in 34 seconds for under a cent. Gitleaks + Trivy: Free scanners caught leaked secrets and vulnerable dependencies that AI reviews can miss. 3-Level Security Plan: How to combine scanners, AI reviews, CI checks, deep audits, and penetration testing before launch. Keywords: Claude Code Security Review, Cloudflare Security Skill, AI Security, AI Coding Agents, Gitleaks, Trivy, Application Security, Code Review, Vulnerability Scanning, Prompt Injection, GitHub Actions, AI Penetration Testing. Links: Newsletter: Sign up for our FREE daily newsletter. Our Community: Get 3-level AI tutorials across industries. Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Liquid AI’s LFM3 family shows how far tiny local models have come. A 1.7B-parameter model can now code, edit files, run lightweight AI agent tasks, understand images and voice, and even run fully offline on low-cost hardware. We’ll talk about: LFM3 1.7B: How a tiny local model handled coding, file editing, research, and agent workflows on a regular laptop. Vision + OCR: Where LFM3 did well with images, manuals, and extracting structured information. Offline Voice + Video: What worked with audio and multimodal understanding — and where hallucinations still showed up. $80 Arduino Test: How a 4-bit LFM3 model ran on just 4GB of RAM at around 3 tokens per second. Who It’s For: Why small local models could make private AI agents and offline assistants much more accessible. Keywords: Liquid AI, LFM3, Local LLM, LFM3 1.7B, Offline AI, AI Agents, Hermes Agent, Arduino Uno Q, Edge AI, Local AI, Multimodal AI, Vision Model, Voice AI, Small Language Models. Links: Newsletter: Sign up for our FREE daily newsletter. Our Community: Get 3-level AI tutorials across industries. Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Want to earn from AI without building your own app? These 5 AI side hustle ideas show how to improve property photos, repurpose videos, reactivate old leads, build websites with Claude Code, and create custom Claude assistants. Get tools, steps, and pricing examples. 💸

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! What if ChatGPT could organize Notion the way you actually work? I'll show you how to connect your workspace, build an AI rulebook, teach ChatGPT your task and note preferences, and prepare a full project with linked pages. Follow each step and check the results in Notion. 🧠