Hosted by Unknown Host · EN · 5 episodes
Established thought leaders with verified media credentials.
Lucas and Luna cut through the hype around artificial intelligence to focus on what actually works: the models, the data, the business cases. Each episode starts with a specific AI milestone — a new model release from OpenAI, Google DeepMind, or Anthropic; a landmark paper on transformer architectures; a real-world deployment of machine learning in logistics, healthcare, or finance — and then they trace its implications for companies and investors. Lucas brings the journalistic rigor: he digs into benchmark scores, training costs, inference latency, and the regulatory filings that reveal how AI is changing industries. Luna challenges him with the human side: which jobs get augmented, which workflows break, and how executives should think about their own data strategy. They don't guess — they cite actual earnings transcripts, published research, and patent filings. Whether they're debating the economics of foundation models, the ethics of synthetic data, or the geopolitics of chip supply chains, the conversation stays grounded in numbers and named companies. No breathless predictions about AGI — just a clear-eyed look at where AI is today and what it means for your business. After listening, you'll understand not just the headline but the math behind it.
Unknown Host hosts The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models, a general show with 5 episodes published.
On June 5, 2026, TechCrunch broke the news that Google will pay SpaceX $920 million per month for compute. This episode of The AI Podcast with Fexingo unpacks what that number means for the AI infrastructure race. Lucas
Lucas and Luna explore the rising trend of small language models (SLMs) in enterprise AI. With a specific focus on Microsoft's Phi-3 and the surprising cost advantages over giants like GPT-4, they break down why companie
Meta is taking a page from Tesla's playbook by building AI data centers in tents. Lucas and Luna dig into the New York Times report on Meta's 'tent city' approach, which slashes construction time from years to months. Th
Arm Holdings is up over 22 percent in the last five trading days as of June 4, 2026, pushing its market cap past $420 billion. Lucas and Luna break down exactly what's driving the surge—spoiler: it's not just iPhone chip
On June 3, 2026, Alphabet announced an $85 billion capital raise for Google's AI business, the largest in corporate history. Lucas and Luna break down where that money is going, why it signals a shift from model competit
Episode 28 of The AI Podcast with Fexingo. AI data centers consume enormous amounts of water for cooling — and it's becoming a real business constraint. Lucas and Luna dig into a single shocking data point: training GPT-
Uber's internal AI spending cap lasted just four months before employees blew through it. Lucas and Luna unpack what that tells us about enterprise AI adoption in mid-2026 — the tension between bottom-up experimentation
Nvidia is no longer just the GPU company. On Monday, they announced AI agent PCs powered by their Grace CPU, going after a $200 billion market long dominated by Intel and AMD. Lucas and Luna break down what Nvidia's 'AI
Lucas and Luna break down Palantir's 17.6% surge in the last five trading days, drilling into the specific catalyst: the company's new AI-powered government contract win with the U.S. Department of Defense's Joint All-Do
Micron just jumped 29 percent in a week, and the market is starting to realize that the AI buildout isn't just about GPUs anymore — it's about high-bandwidth memory. Lucas and Luna break down why HBM has become the hidde
Lucas and Luna explore how model distillation is reshaping the AI landscape, using Anthropic's latest 65 billion dollar raise as a jumping-off point. They break down why smaller, distilled models are outperforming larger
When SoftBank announced plans to invest up to €75 billion to build French data centers, the market barely blinked. But Lucas and Luna argue this is the most significant AI infrastructure signal of 2026 so far — not just
Software developers are up in arms over GitHub Copilot's new token-based billing model, which charges per token rather than a flat monthly fee. Lucas and Luna break down why this change is so controversial, how it compar
Lucas and Luna dive into a surprising trend: developers are now refusing to work without AI assistance. They explore a recent TechCrunch report on coders who won't touch a project without AI tools, and what that means fo
In this episode, Lucas and Luna explore how a new wave of AI chip startups is chipping away at Nvidia's near-monopoly in the AI hardware market. They discuss the recent $650 million funding round for Groq, a startup whos
Lucas and Luna explore why the biggest barrier to enterprise AI adoption in mid-2026 isn't model capability — it's inference cost. Using fresh data from Palantir's 4.3% weekly gain, AMD's 15.2% surge, and Glean's AI budg
Anthropic just raised sixty-five billion dollars at a valuation approaching a trillion — making it the most valuable private AI company in history. Lucas and Luna break down what this means for public AI stocks, why it e
Memory is suddenly the most exciting corner of the semiconductor world. On this episode, Lucas and Luna break down why Micron shares soared 26.8 percent in the last five trading days — outpacing every other major chip st
Lucas and Luna explore why memory bandwidth has become the limiting factor for AI inference, using Micron's 26% weekly surge and the broader chip sector rally as a springboard. They unpack high-bandwidth memory (HBM), th
Episode 14 of The AI Podcast: Lucas and Luna unpack the staggering collapse in AI inference costs — down 97% in two years — and what it means for the chip stocks lighting up the market. With AMD up 21%, Intel up 11%, and
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The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models is hosted by Unknown Host. The show is categorised under General and has published 5 episodes.
The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models has published 5 episodes.
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