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In this episode, Conor and Jaeden explore the latest advancements in AI benchmarks, focusing on Mirror Code and its implications for software development and automation. They discuss how AI is increasingly capable of recreating complex software, solving friction points, and transforming productivity.

Watch on YouTube: https://youtu.be/RqPuvAPN2Lc
Get the top 80+ AI Models for $8.99 at AI Box: https://aibox.ai
Conor's AI Course: https://www.ai-mindset.ai/courses
Jaeden's AI Business Community: https://www.skool.com/aihustle

Chapters
00:00 Introduction to the New AI Benchmark: Mirror Code
00:30 The Context: AI Watching and Learning from Human Actions
00:57 Mirror Code's Emergence and Its Significance
02:12 Claude Opus 4.7 Rebuilding Apple Software in 14 Hours
03:12 What is the Mirror Code Benchmark? Testing AI's Rebuilding Capabilities
03:41 Results: 17 of 25 Programs Recreated Perfectly
04:10 Implications of AI Recreating Complex Software
04:39 OpenAI GPT 5.5 and Opus 4.7 Reimplementing Software
05:10 The Significance of Speed and Cost in AI Rebuilding Tasks
05:39 Personal Use Cases: Building and Rebuilding Software with AI
06:06 AI's Impact on Software Development and Productivity
07:13 Conor’s Journey into AI Agents and Coding
07:41 The Role of Articulating Friction Points in AI Solutions
09:01 Fixing Friction Points in Software Using AI
09:30 Case Study: Rebuilding a Booking Engine with Claude
10:26 Rebuilding Software and Features Faster with AI
11:25 The Power of AI in Solving Real-World Problems
12:00 AI as a Tool for Solving Friction Points in Business
12:26 Introducing AI Box: Affordable Access to AI Models
12:48 The Value of Solving Problems with AI
13:12 Encouragement to Explore AI Solutions and Friction Points



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