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

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

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 (https://buymeacoffee.com/fexingo)

Publisher

Fexingo

Category

business

Language

en

Explicit

No

First episode

19 May 2026

Latest episode

13 Oct 2026

Latest episodes

201 episodes in the feed.

1. 

   13 Oct 2026

   Apple Trade Secrets And The AI Hiring War

   A judge has ordered OpenAI to hand over hiring records in a trade secrets case with Apple. This episode explores what that legal maneuver actually reveals about the talent war between tech giants and AI labs. We look at why headcount is the new moat, how Apple protects its IP through personnel control, and what this means for engineers choosing sides in October 2026. #FexingoBusiness #BusinessPodcast #OpenAI #Apple #TradeSecrets #AIHiring #TechLaw #TalentWar #IntellectualProperty #MachineLearning #CorporateStrategy #LegalNews #EngineeringCulture #DataPrivacy #SiliconValley #CareerAdvice #TechEconomics #Ep214 Keep every episode free: buymeacoffee.com/fexingo (https://buymeacoffee.com/fexingo)

2. 

   12 Oct 2026

   Meta's Muse Wonder And The AI Platform War

   Lucas and Luna break down Meta’s launch of Muse Wonder, its first frontier AI model, and what it signals for the industry. With Nvidia and AMD stocks sliding this week, we explore whether open-weight models can survive in a market dominated by closed ecosystems. We look at the economics of inference costs, the shift from proprietary stacks to community-driven innovation, and why Meta’s bet on openness might be the most critical strategic move of the year. #FexingoBusiness #BusinessPodcast #TechIndustry #ArtificialIntelligence #MachineLearning #MetaAI #MuseWonder #OpenWeightModels #NvidiaStock #AMDStock #AIEconomics #InferenceCosts #CloudComputing #TechStrategy #LLMs #DataScience #SiliconValley #EnterpriseAI Keep every episode free: buymeacoffee.com/fexingo (https://buymeacoffee.com/fexingo)

3. 

   10 Oct 2026

   The AI Efficiency Race Beyond Chip Power

   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 (https://buymeacoffee.com/fexingo)

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

Guest appearances

Does not typically book guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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