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From Streaker Apps to AI Safety Loopholes: What CTOs Need to Know
In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub break down the quirky and serious sides of today's AI. They cover vibe coding, smart glasses, debugging with ChatGPT, and the big question of whether AI gets weaker without human content, offering practical takeaways for CTOs.
They tackle topics like:
-
Vibe coding during a meeting: Scott builds a full React Native "streaker" app using Augment Code and Gemini — without touching a line of code.
-
Smart glasses and privacy: What happens when you realize your acquaintance might be recording you in a casual setting?
-
AI safety filters: How clever prompting can slip past restrictions, raising tough questions about the limits of AI guardrails.
-
JSON prompting experiments: Could structured prompts outperform natural language instructions?
-
Debugging with AI: Brad drops raw errors straight into ChatGPT and gets back surprisingly accurate, context-aware fixes.
-
The ouroboros problem: If AI increasingly trains on AI-generated text instead of human-created content, will models eventually get dumber?
From practical dev hacks to big-picture concerns, this episode shines a light on the curious intersection of AI technology and human behavior.
- 00:00 Introduction: A Fun AI Chat Experiment
- 00:29 Podcast Opening and AI Update
- 01:15 Hacker News Game: Counting AI Articles
- 02:52 Smart Glasses and Privacy Concerns
- 06:06 Vibe Coding: Creating an App During a Meeting
- 11:12 AI Image Generation: Navigating Content Restrictions
- 13:43 AI Safety Challenges and JSON Prompting
- 17:54 Introduction to JSON Prompting
- 18:03 Examples of Structured Prompts
- 19:28 Real-World Application of AI Prompts
- 21:15 Understanding AI's Context Awareness
- 21:38 Exploring AI's Knowledge Sources
- 25:17 Personal Experiences with AI
- 32:55 The Future of AI-Generated Content
- 39:06 Concluding Thoughts and Reflections
Resources:
- How Many CTOs Pod: https://howmanyctospod.com
- Scott Porad: https://www.linkedin.com/in/scottporad/
- Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #TechLeadership #EngineeringLeadership #AIUpdate #AIDevelopment #AIsafety #JSONprompting #SmartGlasses #GenerativeAI #DebuggingWithAI #VibeCoding
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By Brad Hefta-Gaub & Scott PoradIn this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub break down the quirky and serious sides of today's AI. They cover vibe coding, smart glasses, debugging with ChatGPT, and the big question of whether AI gets weaker without human content, offering practical takeaways for CTOs.
They tackle topics like:
-
Vibe coding during a meeting: Scott builds a full React Native "streaker" app using Augment Code and Gemini — without touching a line of code.
-
Smart glasses and privacy: What happens when you realize your acquaintance might be recording you in a casual setting?
-
AI safety filters: How clever prompting can slip past restrictions, raising tough questions about the limits of AI guardrails.
-
JSON prompting experiments: Could structured prompts outperform natural language instructions?
-
Debugging with AI: Brad drops raw errors straight into ChatGPT and gets back surprisingly accurate, context-aware fixes.
-
The ouroboros problem: If AI increasingly trains on AI-generated text instead of human-created content, will models eventually get dumber?
From practical dev hacks to big-picture concerns, this episode shines a light on the curious intersection of AI technology and human behavior.
- 00:00 Introduction: A Fun AI Chat Experiment
- 00:29 Podcast Opening and AI Update
- 01:15 Hacker News Game: Counting AI Articles
- 02:52 Smart Glasses and Privacy Concerns
- 06:06 Vibe Coding: Creating an App During a Meeting
- 11:12 AI Image Generation: Navigating Content Restrictions
- 13:43 AI Safety Challenges and JSON Prompting
- 17:54 Introduction to JSON Prompting
- 18:03 Examples of Structured Prompts
- 19:28 Real-World Application of AI Prompts
- 21:15 Understanding AI's Context Awareness
- 21:38 Exploring AI's Knowledge Sources
- 25:17 Personal Experiences with AI
- 32:55 The Future of AI-Generated Content
- 39:06 Concluding Thoughts and Reflections
Resources:
- How Many CTOs Pod: https://howmanyctospod.com
- Scott Porad: https://www.linkedin.com/in/scottporad/
- Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #TechLeadership #EngineeringLeadership #AIUpdate #AIDevelopment #AIsafety #JSONprompting #SmartGlasses #GenerativeAI #DebuggingWithAI #VibeCoding