🤖 OpenAI Enters the Robotics Race

🌟 Welcome to the Latest Edition of Thunderbolt AI! 🌟

Welcome to Thunderbolt AI! In this edition, OpenAI steps into the robotics arena, signaling a massive shift in AI’s future. Plus, learn how Gemini’s new browser integration turns YouTube videos into instant tutorials. Let’s dive in!

In this newsletter you will find:

• 🤖 OpenAI Enters the Robotics Race

• Turn YouTube videos into structured tutorials

• AI Tools

Lets get started🚀

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AI SCHOOL

Turn YouTube Videos into Instant Tutorials

Gemini’s new browser integration allows you to extract key insights from YouTube videos, turning them into structured tutorials, summaries, or exercises instantly.

Step-by-Step Process:

Step 1: Copy the YouTube Video URL

• Open Chrome and find the YouTube video you want to learn from.

• Click Share → Copy Link to get the video URL.

Step 2: Open Gemini in Your Browser •

• In a new tab, type ”@Gemini” in the URL bar and select “Chat with Gemini” from the options.

Step 3: Enter Your Prompt & Paste the URL

• Type a specific prompt that matches your learning goal.

• Example Prompt: • “Create a detailed tutorial based on this video:” [Paste YouTube URL]

• “Summarize this video into key takeaways.”

Step 4: Get Instant Answers & Follow-Up Questions

• Gemini will generate a tutorial, summary, or practice exercises based on the video content.

• Ask follow-up questions to refine the tutorial further.

Pro Tip:

For the best experience, use Google Chrome and be specific in your prompts (e.g., “Convert this into a step-by-step coding guide with examples.”). This ensures Gemini structures the content exactly how you need it.

This feature is perfect for students, researchers, and content creators looking to maximize learning from video content efficiently. 🚀📚

OPENAI

🤖 OpenAI Enters the Robotics Race: Hiring for Its First Hardware Division

OpenAI is no longer just about software.

For the first time, the company is actively hiring hardware-focused robotics engineers—a move that signals a major expansion into real-world AI applications. With key hires and former Meta and Apple talent leading the charge, OpenAI is setting its sights on general-purpose robotics.

What does this mean for the AI and robotics landscape?

Background Information:

OpenAI is best known for ChatGPT and its cloud-based AI models, but its ambitions are growing.

📌 Key Signals of OpenAI’s Robotics Expansion:

✅ Hiring electrical and mechanical engineers to build AI-driven robots.
✅ Led by Caitlin Kalinowski, ex-Meta AR head, now leading robotics & consumer hardware at OpenAI.
✅ Previous partnerships with Jony Ive & Figure Robotics—but now developing its own in-house robotics division.

This shift could put OpenAI in direct competition with existing robotics leaders—including Figure AI, Tesla, and Boston Dynamics.

What OpenAI Is Building:

🔹 General-Purpose Robotics

• OpenAI aims to develop robots that operate in dynamic real-world settings.

• Instead of focusing on single-use robots, the goal is to create versatile AI-powered machines.

🔹 Advanced Hardware + AI Integration

• Hiring for sensor suite design, gears, actuators, and motors suggests OpenAI is building custom robotics from the ground up.

• AI-powered robots will likely leverage OpenAI’s advanced multimodal models (like GPT-4o) for real-time interaction and adaptability.

🔹 Potential Consumer & Enterprise Robotics

• The mention of consumer hardware hints that OpenAI may not stop at industrial robotics.

• This could mean AI assistants, home robots, or even AI-powered smart devices.

Feature Highlights:

🔹 1. Real-Time AI Knowledge Retrieval

• Instead of relying on pre-trained data, the model queries the web in real-time.

• Example: Ask about today’s stock prices or breaking news, and GraphRAG fetches current data instead of outdated insights.

🔹 2. Unmatched Accuracy Scores

✅ 81% accuracy on Google’s FreshQA benchmark (beats ChatGPT & Gemini).
✅ 70.36% score on MMLU-Pro, outperforming models 10x its size.

🔹 3. Fully Open-Source & Enterprise-Ready

• Unlike closed-source models (OpenAI, Google), companies can run GraphRAG locally.

• Enterprise benefits: No data leaks, full control over AI queries.

• Hardware requirements:

  • 8B parameter version runs on 1 Nvidia A100 GPU.

  • Full 70B version runs on 2 Nvidia H100 GPUs.

Industry Impact & Competitive Landscape:

⚡ Will OpenAI Compete with Figure AI?

• OpenAI previously partnered with Figure AI to power humanoid robots.

• Now, hiring its own robotics team suggests a move toward independence and potential competition.

🚨 Tesla, Boston Dynamics & Others Take Notice

• OpenAI’s robotics push places it in competition with Tesla’s Optimus, Boston Dynamics’ Atlas, and Agility Robotics’ Digit.

• The battle for AGI-powered robotics is officially on.

💰 AI + Robotics = The Next Trillion-Dollar Market

• Investors are betting big on humanoid and autonomous robotics—Tesla predicts Optimus could surpass its car business in revenue.

• OpenAI’s move suggests it wants a piece of that market—backed by Microsoft’s investment.

📢 OpenAI’s robotics ambitions mark a new era for AI.

This isn’t just about software anymore—the company is gearing up to build intelligent machines that interact with the real world. With elite talent, deep funding, and AI leadership, OpenAI’s robotics push could reshape industries.

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