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Welcome to AI Entrepreneurs

Dive into AI's latest with Biden's new chip export rules, Microsoft's math AI breakthrough, OpenAI's robotics revival, and more. Discover AI's impact across industries.

AI CHIP EXPORTS

Biden Redraws AI Chip Borders: New Export Rules Spark Debate

The Biden administration has introduced a three-tier system for AI chip exports, granting unrestricted access to 18 close allies like Japan and the UK, while limiting exports to 120 countries and banning sales entirely to China, Russia, Iran, and North Korea. Tech giants like Microsoft and Nvidia can apply for exceptions but must meet strict security rules, including capping AI computing outside the US at 50%.

The rules, effective in 120 days, have faced backlash from Nvidia, which called them a “sweeping overreach,” and Senator Ted Cruz, who criticized the lack of industry input. While aimed at maintaining a 6–18 month lead over China in AI development, critics warn the restrictions could hurt US semiconductor dominance.

MICROSOFT

Small Models, Big Math: Microsoft’s rStar-Math Revolutionizes AI

Microsoft Research Asia has unveiled rStar-Math, a groundbreaking training method enabling small language models (1.5–7 billion parameters) to outperform even larger systems like OpenAI's o1-preview. Leveraging Monte Carlo Tree Search (MCTS), the same technique behind AlphaGo, rStar-Math combines Python code verification with plain English reasoning for unparalleled math accuracy. The 7-billion-parameter Qwen2.5-Math model achieved 90% accuracy on the MATH benchmark, even outperforming OpenAI in key areas.

Despite its computational intensity and current focus on textual math tasks, rStar-Math highlights Microsoft’s commitment to efficient AI innovation. By showing that smaller models can excel through self-created training data, this breakthrough could reshape the way we approach complex problem-solving in AI.

OPENAI

OpenAI is hiring for its ambitious robotics comeback

OpenAI is reigniting its robotics division after a four-year hiatus, seeking top-tier talent to create the "next generation of embodied AI." With job openings for roles like robotics systems integration engineers and project managers, OpenAI aims to develop versatile robots that thrive in real-world environments. By blending cutting-edge hardware with advanced AI, this initiative targets AGI-level intelligence, enabling robots to adapt and innovate in unpredictable scenarios.

OpenAI is evolving from simulations to hands-on robotics, overcoming data limitations. By focusing on hardware and software synergy, it aims to revolutionize robotics, from prototypes to production-ready systems. Ready to shape the future of AGI-driven robotics? OpenAI is hiring!

AI HEALTH

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AI BYTES

AI-Designed Shoes: Reebok’s Joe Foster Joins Syntilay Revolution

Joe Foster, the 89-year-old co-founder of Reebok, has joined forces with 25-year-old entrepreneur Ben Weiss to launch the world’s first commercial AI-designed shoe under the brand Syntilay. These fully 3D-printed, custom-fit slides are created using AI tools like Midjourney and Vizcom AI, blending futuristic design with cutting-edge technology. Retailing at $150, the collaboration aims to transform the footwear industry, leveraging AI to streamline production and creativity. According to Entrepreneur, Syntilay plans to expand its platform, enabling brands and creators to craft their own AI-designed footwear, setting a new benchmark for innovation in fashion.

AI's New Goldmine: Unused Videos Fetch Up to $4/Minute

AI giants like OpenAI and Google are turning to creators for unused video content, Bloomberg reports. Paying $1–$4 per minute, they’re snapping up 4K footage, drone shots, and 3D animations to train next-gen AI models. Licensing firms like Troveo AI have already paid creators $5 million, with contracts safeguarding against misuse.This booming demand fuels AI video generators and ambitious "world simulator" projects, offering creators a rare chance to monetize their unused footage. But experts warn this lucrative window won’t stay open forever—time to cash in!

Agent Laboratory: AI Co-Pilots Redefining Research Efficiency

Johns Hopkins University and AMD’s Agent Laboratory pairs human creativity with AI precision to transform academic research. Virtual agents like "PhD" and "ML engineer" automate tedious tasks—from literature reviews to experiment coding—while researchers focus on innovation. With costs as low as $2.33 per paper using GPT-4o, this framework makes advanced research affordable. Co-pilot mode enables seamless collaboration, with AI models like o1-preview excelling in clarity. Despite challenges like AI bias, Agent Laboratory is revolutionizing workflows and accelerating breakthroughs.

AI CREATIVITY

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