Lucas and Luna dive into Mojo, a new programming language designed to combine Python's usability with C-level performance for AI and ML workloads. They explore how Modular's creation uses MLIR to run AI models up to 3500 times faster than Python, why it's gaining traction in the AI community in 2026, and how it compares to alternatives like CUDA and Julia. With specific benchmarks and real-world use cases at companies like OpenAI and Meta, this episode explains why Mojo might be the next big thing for AI developers. No hype, just the facts about a language that promises to bridge the gap between research and production.

#Mojo #Modular #AIProgramming #Python #MLIR #Performance #MachineLearning #DeepLearning #CUDA #Julia #Technology #Tech #ProgrammingLanguages #SoftwareDevelopment #FexingoBusiness #BusinessPodcast #PodcastEpisode #Episode65

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