AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Gemini, OpenAI, Anthropic

In this episode, Jaeden and Conor explore insights from a New York Times article about the limitations of AI in companies. They emphasize the importance of human judgment and quality data when using AI tools for business transformation.

Watch on YouTube: https://youtu.be/RY21gbaZCmM
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 AI misconceptions in business
01:53 AI as an augmentation tool, not a magic solution
03:54 The importance of human judgment and critical thinking
05:51 Practical examples of AI in marketing and creative work
08:01 Limitations of AI note-taking and data organization
09:50 The need for human oversight and decision-making
12:03 Strategies for effective AI integration and workflow
13:12 Promoting AI mindset and training in organizations

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In this episode, Jaeden and Conor explore the evolving relationship between co-work and code in Claude applications, emphasizing their increasing interchangeability. They explain why users don’t need to fear missing out and how both tools can enhance productivity, regardless of technical expertise.

Watch on YouTube: https://youtu.be/Z1-8uc5IBRg
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 AI tool convergence and purpose
02:19 Comparing Claude, ChatGPT, and other AI models
03:32 Using AI tools for project management and organization
05:01 Creating folders as project spaces and agents
06:26 The future of Claude and ChatGPT interface consolidation
08:21 Reading and implementing project files across AI platforms
09:30 Importing projects and understanding AI folder architecture
11:09 Model performance comparison and creative use cases
13:36 Deep research, audits, and leveraging AI for reports
14:52 Closing thoughts and call to action for listeners

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In this episode, Jaeden and Conor explore the impact of AI on jobs, debunking myths about AI replacing workers and discussing how companies are actually leveraging AI for growth and efficiency. They share real-world experiences, recent articles, and practical insights on building AI-driven systems in startups and large enterprises.

Watch on YouTube: https://youtu.be/seFQG_ed-e0
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: AI's Impact on Jobs and Myths
00:36 Recent Articles on AI and Employment: Contrasting Narratives
01:13 Conor's Perspective: AI as a Tool for Augmentation, Not Replacement
02:39 The Complexity of Replacing Knowledge Workers with AI
04:34 The Reality of Replacing Entire Teams with AI
07:09 Jaeden's Experience: Using AI to Automate Tasks in Startups
08:37 Scaling AI in Startups: From Development to Management
10:03 Building Systems and Automating Workflows with AI
12:23 The Myth of Large-Scale AI-Driven Layoffs
13:53 Expanding Teams with AI: A Growth Strategy
15:19 Encouraging Companies to Grow with AI, Not Shrink

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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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Conor and Jaeden explore the debate surrounding open-weight and open-source AI models, focusing on Anthropic's lobbying activities and the competitive pressure from international AI companies.

Watch on YouTube: https://youtu.be/vkZyFedYDqQ
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 Open Weight and Open Source Models
00:29 Anthropic's Stance and Industry Perception
01:26 Anthropic's Market Entry and Safety Focus
01:43 Difference Between Open Source and Open Weight Models
02:10 Current Trends in Open Source AI
03:03 Industry Lobbying Against Open Weight Models
03:31 Distillation Attacks and Industry Concerns
04:24 Industry Perspectives on AI Regulation
05:18 Dario Amade's Clarification on AI Bans
05:46 Risks and Industry Dynamics
07:13 Cost Savings and Industry Threats
08:14 Anthropic's Growth and Industry Position
09:04 Incentives and Industry Competition
09:57 The Cult of Personality in AI
10:23 Dario Amade's Industry Influence
11:18 Risks of Open Source Models
12:18 Data Security and Third-Party Integrations
13:17 Chinese and Open Source Models in the Market
14:10 Economic Impact of Cheaper AI Models
15:06 Adoption and Future Trends in AI
15:51 Closing Remarks and Industry Outlook

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