ChatGPT and Beyond with Fexingo: Large Language Models, Generative AI, and Productivity Tools cover art

ChatGPT and Beyond with Fexingo: Large Language Models, Generative AI, and Productivity Tools

ChatGPT and Beyond with Fexingo: Large Language Models, Generative AI, and Productivity Tools

By: Fexingo
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Summary
 Each weekday, Lucas and Luna parse the rapidly shifting landscape of large language models, generative AI, and the productivity tools reshaping how knowledge workers operate. Far from hype cycles and breathless product-launch coverage, the show anchors every conversation in measurable adoption rates, actual enterprise deployment patterns, and the economic trade-offs between proprietary and open-weight models. Lucas draws on his background in tech journalism to frame the macro picture — regulatory signals from Brussels and Washington, capital flows into foundation-model startups, the talent-market squeeze for ML engineers. Luna counterbalances with a practitioner's eye: she presses on real-world integration costs, latency budgets, and the uneven performance of today's models across languages and specialized domains. Together they dissect a named open-source release or a corporate AI strategy announcement each episode, weighing benchmarks against use-case reality. The listener is not a coder seeking implementation guidance but a product manager, strategy lead, or investor who needs to separate signal from noise. Episodes never promise a toolkit or a 'how to' — they deliver a critical weekly temperature check on a field where last month's breakthrough is often next month's footnote. How do you evaluate a model when every vendor claims state-of-the-art? #LargeLanguageModels #GenerativeAI #ProductivityTools #AIAdoption #EnterpriseAI #OpenSourceAI #AIRegulation #AITalent #Benchmarking #FoundationModels #AIEconomics #Tokenomics #PromptEngineering #AISafety #Technology #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • The AI Operator Gap in Enterprise Software

    The AI Operator Gap in Enterprise Software
    Nov 4 2026
    We look at why enterprise software adoption stalls not because the models are dumb, but because the middle management layer lacks the specific operational context to prompt them effectively. Using Palantir’s recent quarterly data as a case study, we explore how the gap between raw model capability and actual business workflow integration creates an invisible tax on productivity that no amount of compute can fix. #FexingoBusiness #BusinessPodcast #AIEconomy #EnterpriseSoftware #ProductivityParadox #PalantirTechnologies #MiddleManagement #GenerativeAI #OperationalExcellence #BusinessStrategy #TechInvesting #WorkforceDevelopment #LLMOps #DigitalTransformation #CorporateEfficiency #LucasAndLuna #Nov2026 #MarketAnalysis Keep every episode free: buymeacoffee.com/fexingo
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    12 mins
  • The AI Talent Pipeline Crisis

    The AI Talent Pipeline Crisis
    Nov 3 2026
    As Apple explores new revenue streams with third-party AI apps and Y Combinator’s Garry Tan burns through $200K a year on tokens, the real bottleneck isn’t compute—it’s the people who can wield it. We dig into why enterprise software giants like ServiceNow are crashing while Adobe holds steady, revealing that the gap between model capability and operational reality is widening. This episode looks at the hidden cost of integrating generative AI into daily workflows without the right human infrastructure. #FexingoBusiness #BusinessPodcast #GenerativeAI #AIProductivity #AppleStrategy #ServiceNowCrash #AdobeResilience #GarryTan #YCombinator #AIIntegration #TechLayoffs #EnterpriseSoftware #DigitalTransformation #AIEconomics #LucasAndLuna #TechNews2026 #WorkforceSkills #MarketVolatility Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • The AI Efficiency Trap in Enterprise Software

    The AI Efficiency Trap in Enterprise Software
    Nov 2 2026
    We explore why enterprise software prices are rising despite AI promises, using ServiceNow’s recent earnings and the broader tech sector pullback on November first, two thousand twenty-six. Lucas and Luna dissect the gap between model capability and billing models, asking if we are paying for intelligence or just complexity. #FexingoBusiness #BusinessPodcast #EnterpriseSoftware #ServiceNow #AIProductivity #TechEarnings #CloudComputing #SaaS #ArtificialIntelligence #CorporateSpending #November2026 #TechMarket #SoftwarePricing #DigitalTransformation #ITBudgets #ModelCosts #TechStocks #EfficiencyGap Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    8 mins
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