Good morning, aspiring leaders of the next-gen! ☀️

🚀 Here’s what’s going on today in the AI space…

Meta pauses plans to train AI using European users’ data, bowing to regulatory pressure: In response to concerns from the Irish Data Protection Commission and the U.K.'s Information Commissioner’s Office, Meta has halted its plans to use European user data to train its AI systems. This decision underscores tech companies' challenges when aligning their data usage practices with Europe's stringent GDPR regulations. Despite Meta's intent to enhance AI capabilities using user-generated content, the pushback highlights ongoing privacy debates and the need for clear consent mechanisms in the utilization of personal data for AI training.

Tempus rises 9% on the first day of trading, demonstrating investor appetite for a health tech with a promise of AI: Despite its unprofitability, Tempus, a genomic testing and data analysis company, saw a significant first-day stock price increase. This demonstrates a strong investor interest in health technology firms integrating AI into their operations. Tempus aims to enhance its diagnostic tools with AI technology, reflecting a broader trend of tech integration across the health sector.

AI Is Coming for Big Tech Jobs—but Not in the Way You Think: Big tech companies are not yet replacing workers with AI, but they are restructuring and laying off thousands of employees in the pursuit of advancing AI technology. This trend is impacting major firms like Microsoft, Google, and Meta, where shifts towards AI innovation are leading to significant workforce changes, despite these companies' overall growth and profit.

📔 #1 Insights This Week on AI. Click the Links to Read

Noam Chomsky was an intellectual prodigy who went on to earn a PhD in linguistics at the University of Pennsylvania. Since 1955, he has been a professor at MIT and has produced groundbreaking, controversial theories on human linguistic capacity. Chomsky is widely published, both on topics in his field and on issues of dissent and U.S. foreign policy.

🛸 Let’s Teleport in The Future

Demystifying AI: A Simple Explanation of Large Language Models

Artificial Intelligence (AI) has become a ubiquitous topic of discussion, permeating conversations across various fields. People debate its implications, ethical considerations, and potential benefits and drawbacks. However, these discussions often overlook a fundamental aspect: how AI works, particularly large language models (LLMs). The intricacies can seem overwhelming, but the core principle driving today's AI advancements is surprisingly straightforward.

The Cooking Analogy

Imagine you’re preparing a meal but need one more side dish to make it complete. The dish should complement the existing meal—if it's savory, the side should be too; if there’s already a salad, another salad isn’t necessary; and if the meal is heavy on starch, a roasted vegetable might be ideal. Now, envision an app that could suggest the perfect side dish based on what you’re already cooking. This app wouldn’t suggest dishes randomly but would consider the existing components to provide an optimal addition.

To create such an app, we need to tackle two main steps:

1. Modeling Meals as Data: Computers don’t have taste buds, so we must encode the concept of meals into data.

2. Learning Patterns: The app must learn to generate a new dish that complements any given set of dishes, even if it has never encountered that particular combination before.

Step One: Modeling Meals

To teach a computer about meals, we don’t feed it direct information about taste or ingredients. Instead, we provide extensive data on which dishes are commonly paired together. For instance, a Caesar salad and a Caprese salad are both Italian and contain vegetables and cheese, making them similar. Computers learn this similarity not by the ingredients but by observing that these dishes often appear alongside other Italian dishes and rarely with other salads.

By examining patterns in a vast dataset, the computer can place similar dishes close together in a conceptual space—let’s call it “meal-space.” Over time, dishes that are often paired together move closer in this space. This process creates a map where similar foods cluster together, while dissimilar foods are spaced far apart.

Interestingly, this placement isn't random. Foods with common characteristics (like containing bread or being salty) are positioned logically relative to each other. This structured mapping allows for “food arithmetic,” where the coordinates of different foods can be manipulated to predict new combinations. For example, subtracting the coordinates of a tortilla from a burrito and adding the coordinates of rice might place you near a burrito bowl in this conceptual space.

Step Two: Learning Patterns

With meal-space established, we can now teach our model to find patterns in complete meals. By examining countless examples, the model learns to predict the best additional dish based on the existing components of a meal. It generalizes from coordinates in meal-space to suggest an optimal dish that fits well with the given meal.

Words Instead of Recipes

This meal-planning analogy translates directly to understanding LLMs. Replace meals with sentences and dishes with words. LLMs learn relationships between words by examining their co-occurrence in vast amounts of text data, akin to how the meal-planning app learned from dish pairings.

In AI terms, this space is called “vector-space.” Words are categorized based on the company they keep, and their relationships are mapped out in this multi-dimensional space. When generating text, the model predicts the next word by finding patterns in vector-space. For example, given the prompt "Tell me you love me," the model determines that "I" is likely to follow, then "love," and so on, constructing coherent sentences.

Conclusion

Despite the sophisticated capabilities of AI, the fundamental principles are not overly complex. By understanding how AI models relationships and patterns, we can demystify the technology and appreciate its transformative potential. If you’re eager to delve deeper into AI in an accessible way, consider subscribing to newsletters like Answers on Artificial Intelligence, which break down complex topics into digestible insights. This way, you can stay informed without needing a technical background.

🏟️ Most Important AI Events

👥 Who will be there?

Meet 7, 8, and 9-figure entrepreneurs, investors, innovators, and AI experts who have invested in or acquired dozens of companies, generated billions in sales, sold companies for combined billions, stayed at the forefront of technology, and garnered tens of billions of views. Check out our speakers in the Notion doc!

🛠 What will we achieve?

Prepare to learn about AI and tech. We will have big investors/sharks with futuristic projects that will be pitching to win. Experience reprogramming sessions to expand minds and ensure you're AI-enhanced personally so that YOU can scale. We also support people in getting companies AI-ready and developing business strategies for the future.

🏡 Venue:

We’ve secured an elegant and conducive location in Miami to foster a vibrant atmosphere perfect for creation and collaboration, complete with a content team.

🌍 Why now?

Humanity is at a crucial tipping point, necessitating a gathering of the most brave and innovative minds to shape a powerful future in this new renaissance.

Event Breakdown

Day 1:

Black Tie Networking Event

· Initiation Into Future Potentials

· Futuristic Panel with Top Minds in Business, Politics, & Technology

· Networking w/ who's who w/ drinks and Hors d'oeuvres

· 100-150 brilliant souls gather

Day 2:

· Mastermind

· Mind & Time Hacking

· Pitch Competition with Billions of Dollars Worth of Deployment Power

· Investors Dinner for VIPs

Day 3:

· Mastermind

· Reprogramming Mind Session with $1 Million 1-on-1 Coach William Lam

· Yacht Party for VIPs

Check if you qualify for one of the most important masterminds 

⚡ ChatGPT Prompting

YOUR BRAND STORY. Your brand story is important because it creates a compelling narrative that connects emotionally with your audience, differentiates you from competitors, and builds trust and loyalty by showcasing your values, mission, and journey.

Provide the following info to ChatGPT for context:

Brand history:
Product name and function:
Pain points tackled:
Target audience:
Company values:

Craft a compelling narrative
about the origins of [PRODUCT].
Highlight its unique features,
the passion behind its creation,
and how it solves a specific
problem for its target audience.
The story should evoke emotions
and connect deeply with the
values and aspirations of our
ideal customer.

⚡ Hands-on: Supercharge With AI Tools

Work smarter, not harder!

HomeDesignsAI is a powerful tool that leverages artificial intelligence to help users quickly redesign home interiors, exteriors, and gardens. It provides a fast and easy way to visualize different design styles and configurations without needing physical changes or visits.

Steps to use HomeDesignsAI:

1. Upload an Image:

   • Start by uploading an image of the room, house, or garden you want to redesign.

2. Customize Your Design:

   • Choose the room type (e.g., living room, kitchen).

   • Select the design style (e.g., Scandinavian, Modern).

   • Set the AI intervention level from very low to extreme.

   • Add any specific custom AI instructions if needed.

3. Generate the Design:

   • Click on the 'Generate New Design' button to let the AI create a new design based on your specifications.

These steps provide a straightforward pathway to reimagine any space quickly using AI technology, making it a valuable tool for homeowners and professionals alike. For more detailed guidance and to start designing, you can visit the HomeDesignsAI website —> https://homedesigns.ai/

I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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Here's the Disclaimer: None of what I share is financial advice. This newsletter is for convenience and educational purposes only and is not investment advice or a solicitation to buy or sell any NFTs, Crypto, AI, or anything else. Please do your research and consult with a pro.