Good morning, aspiring leader of the next generation! ☀️

🚀 Here is the most impactful AI news today. Enjoy and we wish you an amazing day:

• Google's secret Project Jarvis has HAL 9000 vibes. Ready to hand over your computer controls? 🖥️👀

• Meta copies Google's homework but makes it 'open'. The podcast generation gets a new player! 🎙️🤖

• Sam Altman's nuclear power bet is glowing green. AI and atoms are making investors radioactive with joy! ⚡📈

• Arcade lets AI play jewelry designer. Your next bling might be computer-generated! 💍✨

• Perplexity hitting 100M weekly searches. That's a lot of humans asking robots questions! 🔍💭

• YC's Pharos bags $5M to revolutionize hospital reporting. Making medical paperwork less painful! 🏥💉

• OpenAI's Whisper caught making up stories. Even AI tools need fact-checkers! 🎭🗣️

• AI's playing financial advisor now. Your money's getting an algorithmic makeover! 💰🧮

• Starmer demands AI content boundaries for publishers. Someone has to keep the robots in check! 📚✋

Meta releases an ‘open’ version of Google’s podcast generator

Meta has released NotebookLlama, an open-source alternative to Google's NotebookLM podcast generator feature. The system uses Meta's Llama models to create podcast-style discussions from uploaded text files by generating transcripts and adding dramatic elements before converting them to speech. While the current output sounds notably robotic with timing issues between voices, the researchers suggest that improved models could enhance the quality. Like other AI-generated podcast tools, including NotebookLM, the system still faces challenges with AI hallucinations and accuracy.

Sam Altman-backed energy stock surges amid AI-driven 'nuclear power renaissance'

Sam Altman-backed nuclear power company Oklo has seen its stock surge nearly 140% in the past month due to increasing Big Tech interest in nuclear energy. The company specializes in small modular nuclear reactors (SMRs), attracting investments from major tech companies like Amazon and Google, who are seeking to balance their AI data centers' growing energy demands with climate goals. The SMR market could reach $300 billion by 2040, according to Citi analysts. Altman, who owns a 2.6% stake and serves as chairman, co-founded AltC Acquisition Corp., which merged with Oklo in May. Other notable investors include Cathie Wood and Peter Thiel.

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

1. Arcade, a new AI product creation platform, designed this necklace

2. Perplexity says it’s now serving 100M search queries a week

3. YC startup Pharos lands a $5M seed led by Felicis to bring AI to hospital quality reporting

4. OpenAI’s Whisper transcription tool has hallucination issues, researchers say

5. Role of AI in financial decision-making

6. Starmer: Publishers must have control over their content as AI technology develops 

Do you have a business problem that’s been keeping you up at night? Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!

Helen Greiner is a co-founder of iRobot and former CEO of CyPhy Work, Inc., a start-up company specializing in small multi-rotor drones for the consumer, commercial and military markets. Ms Greiner is currently the CEO of Tertill Corporation.

⬆️ ️ Trends: How Businesses Implement AI

Carto: AI-Powered Conservation Comes to the Dutch Caribbean

In a significant step forward for environmental conservation, the Dutch Caribbean Nature Alliance (DCNA) has unveiled Carto, a sophisticated AI-powered tool that promises to transform how we monitor and protect the region's diverse ecosystems. This innovative web application, developed by Spheer.ai with partial funding from DCNA, merges satellite imagery with artificial intelligence to create a powerful new approach to habitat management.

Carto's strength lies in its ability to turn complex satellite data into actionable insights with remarkable ease. Users need only provide a few sample data points to generate detailed maps and trends across vast areas. Whether tracking mangrove forests, monitoring seagrass meadows, or detecting invasive species and sargassum blooms, the system can create real-time, accurate assessments of both terrestrial and marine environments across the entire Caribbean region.

The tool's pilot phase will see active testing across five islands – Bonaire, Curaçao, Saba, Sint Maarten, and Sint Eustatius. While Aruba isn't directly participating in the testing, it's included in Carto's coverage, offering an opportunity to verify the system's scalability and accuracy. Each participating island will train AI models to monitor specific ecological indicators, starting with mangroves, invasive species, seagrass, and sargassum, though the system's flexibility allows for tracking virtually any environmental parameter.

What sets Carto apart is its accessibility and customization potential. Conservation professionals, researchers, and policymakers can create their own monitoring applications, train AI models, and generate predictive maps tailored to their specific needs. This democratization of advanced monitoring technology could revolutionize how we approach environmental protection in the region.

The timing of Carto's introduction is particularly significant as it aligns with DCNA's new Coastal Habitat Restoration of Key Habitats program. By providing precise, real-time monitoring capabilities, Carto empowers local stakeholders and international partners to make more informed decisions about protecting the ecosystems that are vital to the Caribbean's environmental and economic well-being.

As climate change and human activities continue to pressure Caribbean ecosystems, tools like Carto represent a crucial step forward in environmental protection. By combining the power of artificial intelligence with the accessibility of web-based applications, DCNA is helping to ensure that those on the front lines of conservation have the tools they need to protect these precious environments for future generations.

⚡ AI Playground: Code & Craft

🛠️ Create Your Own GPT for Personal Use with ChatGPT

What is GPT?
GPT (Generative Pre-trained Transformer) is an AI that creates human-like text by predicting words from patterns it learned in training. You can train it on personal data to fit your specific needs. It’s accessible, even for beginners!

💡 How to Create Your Own GPT

Step 1: Define Your Goal

Decide what task you want your GPT to handle. Be specific!

Example: "I want to create a GPT that helps me draft professional emails."

Step 2: Access ChatGPT

Visit the ChatGPT website, then sign up or log in.
Click Create New to begin.

Step 3: Feed It Your Data

To make your GPT act like a personal copywriter, you’ll need to train it with examples of the type of text you want it to generate.

1️⃣ Collect Content:
Gather emails, articles, or documents you’ve written or like to emulate.

2️⃣ Feed the Content:
Use ChatGPT by copy-pasting your examples into the chat. Give clear instructions, like:
“Here are examples of professional emails I’ve written. Use this style when generating new emails for me.”

3️⃣ Fine-Tune It:
Ask GPT to create new samples. Provide feedback on what you like or want changed to improve its accuracy.

Step 4: Add Your Own Text

Incorporate your style by feeding it specific phrases or templates you often use.

1️⃣ Create a Template:
Provide a sample text with placeholders for customization, such as:
"Dear [Name], I hope this email finds you well. I wanted to follow up on [Topic]. Let me know if you have any questions!"

2️⃣ Set Your Preferences:
Ask GPT to include these templates automatically:
“Use the greeting ‘Hello there,’ in every email and always close with ‘Best regards.’”

3️⃣ Test & Refine:
Run the tool through different tasks—ask it to draft emails, marketing copy, or follow-up notes. Keep refining until the results match your style perfectly.

🔧 This Week’s Tool: GPT by ChatGPT

What is this tool best for?
Creating personalized tools to analyze data, write custom text, and make predictions. It acts like your personal LLM (Large Language Model)—trained on your data to serve your needs.

Why is it better than other tools?
Easy to use, adaptable to personal data, and accessible without advanced skills.

What does it do best?
Generates text, answers questions, summarizes, translates, and supports tasks like writing or coding.

Applications:
💬 Chatbots
📝 Content creation
🌐 Translation
💻 Coding assistance
📧 Personalized writing
📞 Customer support

⚡ Take the Challenge, Make Your GPT, and Win Big! Send us your GPT by Friday!

Have an amazing day!

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

🙌🏼

Elena

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