Cover of The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models

The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models

The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models

By: Fexingo
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Lucas and Luna dissect the week in artificial intelligence — not the hype, but the actual models, benchmarks, and deployment decisions shaping the industry. Each episode anchors on a specific paper, product launch, or policy move: from Mixture-of-Experts architecture changes to EU AI Act enforcement, from OpenAI's governance restructuring to open-weight model licensing battles. They compare LLM benchmark scores across reasoning, coding, and multilingual tasks, examine inference cost curves per million tokens, and trace how foundation model competition affects downstream startups. Lucas, a journalist covering tech policy, brings the regulatory and competitive landscape; Luna, an ML engineer turned product lead, presses on technical tradeoffs and real-world performance. Together they avoid speculation and focus on data: what the latest Nvidia GPU cluster means for training efficiency, why a particular transformer variant reduced latency by 40%, or how retrieval-augmented generation changes enterprise search ROI. The show serves engineers, product managers, and investors who need to separate signal from noise in AI. If you want to understand why one billion-parameter model beats another on MMLU but fails on GSM8K, or how the cost of fine-tuning a LLaMA 3 variant compares to using GPT-4o, this is the conversation you overhear. Because in AI, the details matter more than the demos. #ArtificialIntelligence #MachineLearning #LLM #DeepLearning #TransformerModels #AIEthics #Benchmarks #GPUs #OpenSourceAI #NaturalLanguageProcessing #ComputerVision #AIPolicy #StartupAI #FexingoBusiness #BusinessPodcast #Technology #DailyPodcast #AIPodcast Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • The AI Efficiency Race Beyond Chip Power

    The AI Efficiency Race Beyond Chip Power
    10 Oct 2026
    Microsoft CEO Satya Nadella recently called for an 'emergency brake' on AI models, highlighting a critical tension between raw compute power and practical utility. This episode explores why the industry is pivoting from chasing larger models to optimizing inference efficiency and model distillation. With semiconductor stocks like NVIDIA and AMD seeing recent volatility, we examine how software-level optimizations and specialized hardware are reshaping the economics of running AI at scale. We look at the specific trade-offs companies face when balancing speed, cost, and accuracy in their daily operations. #AIEfficiency #InferenceCosts #ModelDistillation #SatyaNadella #MicrosoftAI #NVIDIACorporation #AMDStock #TechEconomics #CloudComputing #SoftwareOptimization #HardwareAcceleration #FexingoBusiness #BusinessPodcast #TechnologyTrends #DataCenterEconomics #AIInfrastructure #ComputationalEfficiency #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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    10 min
  • How Battery Power Is Rewiring Data Center Economics

    How Battery Power Is Rewiring Data Center Economics
    10 Oct 2026
    Batteries are now cheaper than natural gas turbines at many data centers, fundamentally shifting the energy economics of AI infrastructure. Lucas and Luna examine how this cost crossover impacts capital allocation for major cloud providers, the operational reality of using battery storage as primary backup, and what this means for the long-term sustainability of training massive language models in October 2026. #DataCenters #AIEnergy #BatteryStorage #CloudInfrastructure #NVDA #TechEconomics #Sustainability #PowerGrid #CapitalExpenditure #NaturalGas #LithiumIon #EnergyEfficiency #MachineLearning #FexingoBusiness #BusinessPodcast #LucasAndLuna #TechInvesting #FutureOfCompute Keep every episode free: buymeacoffee.com/fexingo
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    12 min
  • The Hidden Economics of AI Model Distillation

    The Hidden Economics of AI Model Distillation
    8 Oct 2026
    As the cost of running large language models at scale becomes a bottleneck for profitability, companies are turning to model distillation — training smaller, cheaper models to mimic the reasoning of larger ones. We examine how this technique is reshaping the economics of AI deployment, why it matters for margins in late October two thousand twenty-six, and what it means for the future of enterprise software. #FexingoBusiness #BusinessPodcast #AIEconomics #ModelDistillation #MachineLearning #AIInfrastructure #EnterpriseAI #TechInvesting #CloudComputing #SoftwareMargins #AIStartups #LargeLanguageModels #CostOptimization #TechTrends2026 #LucasAndLuna #AIStrategy #ComputeEfficiency #SiliconValley Keep every episode free: buymeacoffee.com/fexingo
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    10 min
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