AI-ronman 🚀

Hey folks,

We're thrilled to have you on the GlazeGPT waitlist along with hundreds who joined last week! Excited to present AI-ronman 🚀 - your dose of the latest developments in the world of AI, useful tools, and concise content (Youtube video summaries, blog summaries, etc) - straight from Tony Stark!

Today’s edition will take around 3 minutes to read. Let's delve into the latest AI developments that are shaking up the tech world.

1. Meta Announces First Custom AI Chip 🤩 Take a breath Meta! AR, VR, open source models, SAM, and now chips! The development of this custom AI chip, alongside other infrastructure initiatives, is anticipated to be a crucial strategy for Meta to remain competitive in the AI landscape, where other tech giants are also heavily investing. Read more.

2. Apple has restricted employees 😅 from using AI tools like OpenAI’s ChatGPT over fears that confidential information entered into these systems will be leaked or collected. Read more.
   

3. New York City Public Schools Revoke Ban 😁 on ChatGPT: All ed-tech entrepreneurs - please continue building on Generative AI applications.
   

4. ChatGPT iOS app 😇 for the US: Link to download. Android app coming soon.
   

Emad’s Youtube conversation on 20VC. Emad Mostaque is the Co-Founder and CEO of StabilityAI, the parent company of Stable Diffusion. Here’s a short summary of the video:

1. Transformative Role of AI in Healthcare: AI can revolutionize healthcare by organizing medical knowledge into an integrated common system. The integrated system can help with economic misalignment and improve healthcare efficiency
   

2. AI Bubble and the Importance of National Data Sets: National data sets are crucial for AI models to understand local contexts and stimulate innovation.
   

3. Significance of Distribution Networks in AI Business: Building a successful AI business involves establishing robust distribution networks. Countries like India have the potential to leapfrog to intelligence augmentation.
   

4. The emergence of AI-First Publishers: AI-first models are expected to revolutionize news consumption. Media companies need to adapt to this change by combining human input with factual anchors.
   

5. Understanding AI Integrated vs AI First: AI integrated involves improving an existing system with AI, while AI first involves building a system from scratch with AI at its core. This difference has led to new business models that help companies transition to AI-first systems.
   

6. Diverse Data Sets for AI in Education and Healthcare: Building diverse data sets can make AI assistants more engaging and personalized in sectors like education and healthcare. This effort requires a careful examination of alignment work to ensure it's targeting the right areas.

And that's a wrap, my dear amigos! No annoying ads to dodge, no rabbit-hole links to wander off into. Nada! Zilch! Now, isn't that a breath of fresh internet air?

Karan

CEO, GlazeGPT.com

[email protected]