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

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

Written by: Fexingo
Listen for free

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 Safety Bill That Could Halt Innovation

    The AI Safety Bill That Could Halt Innovation
    Oct 21 2026
    Anthropic is pushing a radical new safety framework in Washington that ties model deployment to catastrophic risk thresholds. Lucas and Luna break down the proposal’s core mechanism: if fifty or more lives could be lost due to an AI failure, the model must pause. This episode examines whether this 'kill switch' approach protects the public or stifles the very innovation that defines the current tech cycle. #FexingoBusiness #BusinessPodcast #LucasAndLuna #AIEthics #Anthropic #AISafety #TechPolicy #AIRegulation #MachineLearning #ArtificialIntelligence #TechNews #WashingtonDC #Innovation #RiskManagement #TechnologyTrends #FutureOfWork #DigitalSafety #AIModel Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    8 mins
  • Why Microsoft Is Stopping AI Agents

    Why Microsoft Is Stopping AI Agents
    Oct 20 2026
    Microsoft has issued a stark warning that frontier AI models cannot be trusted as autonomous agents, comparing them to insider threats within corporate networks. This episode explores the security architecture failing behind the hype, why inference costs are skyrocketing due to safety checks, and how companies like Amazon are building alternative dev tools to bypass Nvidia's dominance. We look at the specific technical barriers preventing true agent autonomy today. #AIAgents #MicrosoftSecurity #FrontierModels #AutonomousAI #TechPolicy #InferenceCosts #AmazonAWS #NvidiaCompetition #CyberRisk #EnterpriseAI #TrustAndSafety #FexingoBusiness #BusinessPodcast #TechnologyNews #CorporateStrategy #DigitalSecurity #AILaw #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
  • Why AI Companies Are Betting on Smaller Models

    Why AI Companies Are Betting on Smaller Models
    Oct 19 2026
    The industry narrative has shifted from brute-force scaling to efficiency. We look at why companies are pivoting away from trillion-parameter behemoths toward specialized, smaller models that run on edge devices and require less power. With data centers facing energy constraints and inference costs remaining high, the economics of AI are demanding smarter architecture over raw compute. We examine the trade-offs between generalist giants and focused specialists. #FexingoBusiness #BusinessPodcast #ArtificialIntelligence #MachineLearning #EdgeAI #ModelEfficiency #InferenceCosts #TechEconomics #SmallLanguageModels #DataCenterEnergy #AIInfrastructure #TechnologyTrends #LucasAndLuna #Episode217 #AIStrategy #ComputePower #SmartArchitecture #FutureOfAI Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
adbl_web_anon_alc_button_suppression_t1
No reviews yet