{"podcast":{"title":"The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models","slug":"the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011","podcast_index_feed_id":7872011,"rss_url":"https://feeds.fexingo.com/business/the-ai-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-ai-podcast/cover.png","author":"Fexingo","episode_count":104,"summary":"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 anot…","last_synced_at":"2026-07-11T14:18:53.849941+00:00","page_url":"https://stenobird.com/podcast/the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011"},"episode":{"title":"Why AI Engineering Jobs Are Surprisingly Resilient","slug":"why-ai-engineering-jobs-are-surprisingly-resilient","published_at":"2026-06-25T08:01:42+00:00","page_url":"https://stenobird.com/podcast/the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011/why-ai-engineering-jobs-are-surprisingly-resilient","show_page_url":"https://stenobird.com/podcast/the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011","url":"https://audio.fexingo.com/business/the-ai-podcast/episode-0072.mp3","audio_url":"https://audio.fexingo.com/business/the-ai-podcast/episode-0072.mp3","summary":"New data shows AI-driven engineering layoffs are less severe than predicted. Lucas and Luna examine why demand for AI engineers remains high, the 'productivity paradox' of AI tools, and how companies like Microsoft and Meta are hiring for roles that write the AI itself. They also discuss a recent TechCrunch report revealing that engineering jobs have become more resilient, not less, in the age of generative AI. Plus: why the 'saved' time from AI copilots is being reinvested into more complex work, not layoffs. A data-driven look at the real labor impact of AI. #AIJobs #EngineeringResilience #TechLayoffs #GenerativeAI #ProductivityParadox #TechCrunch #Microsoft #Meta #AIEngineers #LaborMarket #FutureOfWork #AICopilot #FexingoBusiness #BusinessPodcast #Technology #CareerResilience #AIAdoption #DataDriven Keep every episode free: buymeacoffee.com/fexingo","meta_description":"New data shows AI-driven engineering layoffs are less severe than predicted. Lucas and Luna examine why demand for AI engineers remains high, the 'product…","key_points":[],"chapters":[],"topics":[],"duration_seconds":558,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011/episodes/why-ai-engineering-jobs-are-surprisingly-resilient/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-ai-podcast-with-fexingo-artificial-intelligence-machine-learning-and-modern-ai-models-7872011/why-ai-engineering-jobs-are-surprisingly-resilient.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}