Share

cover art for Reasoning with Apple's Reasoning Paper

The Attention Mechanism with Andrew Mayne

Reasoning with Apple's Reasoning Paper

Justin Robert Young and Andrew Mayne delve into the implications of Apple's Intelligence update and the broader landscape of AI development. They discuss the complexities of AI reasoning, the limitations of current models, and the ongoing debates surrounding artificial general intelligence (AGI). The conversation also touches on the challenges of overfitting in AI, the importance of niche solutions in the startup ecosystem, and the potential for AI to enhance various business processes. They conclude with insights into the revenue dynamics of leading AI companies and the future outlook for AI applications.


Chapters


00:00 Introduction to AI and Apple's Intelligence Update

06:09 The Debate on AI's Reasoning Capabilities

09:09 Overfitting in AI Models Explained

12:16 Testing AI Models with Distractors

21:19 Challenges for AI Startups

34:57 The Future of AI APIs and Revenue Models



More episodes

View all episodes

  • Putting AI Research To The Test

    38:06|
    Justin Young and Andrew Mayne discuss Shipmas as well as a major update in the Hunter DeButts controversy and a look at the capabilities of Google's new deep research service.
  • Sora Debuts

    34:36|
    Andrew Mayne and Justin Robert Young discuss the recent announcements from OpenAI, particularly focusing on the launch of Sora, OpenAI's new video engine. They explore the features of Sora, the pricing models introduced, and the implications of AI development in the current tech landscape, especially in relation to Google. The discussion also touches on the collaborative features of Sora, the advancements in AI model trainability, and the overall excitement surrounding the future of AI technology.Chapters00:00 Introduction to Sora and OpenAI's Shipmas06:14 The Impact of Sora on Video Production11:50 The Future of AI in Content Creation18:09 OpenAI's New Training Capabilities24:51 The Anticipation and Fatigue of AI Releases30:58 The Future of AI: Opportunities and Challenges
  • No Code No Problem

    45:35|
    Justin Robert Young and Andrew Mayne discuss the rise of no-code and low-code platforms that empower users to create applications without extensive coding knowledge. The duo also delves into the implications of AI on the job market, emphasizing the shift towards gig work and the importance of financial literacy in navigating this new landscape. They highlight the need for adaptability and the potential for AI to enhance productivity and creativity in the workplace.Chapters00:00 The Rise of AI in Gambling03:10 Exploring No Code and Low Code Development12:08 Real-Time App Development Demonstration28:52 Lowering Barriers to Creation34:37 The Evolution of Gig Work
  • Apple Intelligence First Impressions

    32:11|
    Justin Robert Young and Andrew Mayne discuss the new Apple Intelligence 18.2 beta, sharing their personal experiences and insights on its features and usability. They explore the integration of AI in mobile technology, particularly its potential in medical diagnostics, and the ethical considerations surrounding AI's role in healthcare. Chapters00:00 Introduction to Apple Intelligence 18.2 Beta03:14 Personal Experiences with AI Integration05:55 Exploring Features and Functionality08:57 The Future of AI in Mobile Technology12:05 AI's Role in Medical Diagnostics23:52 Ethical Considerations of AI in Healthcare
  • Did AI Hit A Wall?

    31:07|
    Justin Robert Young and Andrew Mayne discuss the evolving landscape of AI in the context of recent political changes, economic implications, and the current state of technology. They explore how AI has become integral to American society, the challenges of legislating rapidly advancing technology, and the potential for economic growth driven by AI innovation. The discussion also touches on the perceived limitations of AI and the importance of hands-on experience with the technology.Chapters00:00 The Political Landscape of AI08:56 Technological Advancements and AI's Potential18:13 The Importance of Direct Experience with AI
  • Time To Slow Down?

    34:05|
    Justin Robert Young and Andrew Mayne discuss the rapid evolution of AI technology, the concerns surrounding its development speed, and the differing perspectives between technical and non-technical experts. They explore the ethical implications of slowing down AI advancements, the potential economic disruptions caused by AI, and the importance of government regulation in the AI industry. The discussion also touches on pricing strategies of AI models and the future of AI conversations as society adapts to these changes.
  • Automation

    32:47|
    Justin Robert Young and Andrew Mayne discuss the latest advancements in AI technology, focusing on Meta's Notebook Llama, automation's role in the future, and Apple's new AI features.
  • Voice Cloning Isn't Going Away

    43:09|
    Justin Robert Young and Andrew Mayne delve into voice cloning and video models. They discuss the technical challenges, ethical implications, and the potential for misuse of voice cloning technology, as well as the advancements in video generation models. The conversation also touches on Apple's upcoming AI features and the broader implications of these technologies on communication and society.Chapters00:00 The Rise of Voice Cloning Technology14:24 Advancements in Video Models22:06 The Future of AI Accessibility23:59 Exploring Smart Reply Features29:07 The Future of Voice Assistants35:41 AI Integration in Everyday Life41:02 The Acceleration of AI Technology42:41 New Chapter