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In this episode, Amith & Mallory explore the exciting world of humanoid robots, discussing OpenAI's partnership with Figure to create robots capable of performing tasks without specific training. Additionally, they examine Groq's revolutionary AI chips designed for low-latency language model inference. Finally, they cover DeepMind's groundbreaking weather prediction models, highlighting their potential to provide hyper-local and accurate forecasts, a game changer for sectors like agriculture and insurance.

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Key Takeaways:

✅ OpenAI and Figure creating humanoid robots that can perform untrained tasks using AI reasoning
✅ Groq's specialized LPU chips enable extremely low-latency inference for large language models
✅ DeepMind's GraphCast accurately predicts 10-day weather, outperforming traditional methods
✅ AI weather models could provide hyper-local forecasts, benefiting agriculture/insurance
✅ The possibility that AI can help solve major challenges like climate change in the future

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Amith Nagarajan is the Chairman of Blue Cypress, a family of purpose-driven companies and proud practitioners of Conscious Capitalism. The Blue Cypress companies focus on helping associations, non-profits, and other purpose-driven organizations achieve long-term success. Amith is also an active early-stage investor in B2B SaaS companies. He’s had the good fortune of nearly three decades of success as an entrepreneur and enjoys helping others in their journey.

https://linkedin.com/amithnagarajan

Mallory Mejias is passionate about creating opportunities for association professionals to learn, grow, and better serve their members using artificial intelligence. She enjoys blending creativity and innovation to produce fresh, meaningful content for the association space. Mallory co-hosts and produces the Sidecar Sync podcast, where she delves into the latest trends in AI and technology, translating them into actionable insights.

https://linkedin.com/mallorymejias