The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models
FexingoLucas 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 be... more
| Publishes | Daily | Episodes | 84 | Founded | a month ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||
Listen to this Podcast
Latest Episodes
While AI chip stocks have been volatile, equipment makers like Applied Materials are surging. Lucas and Luna explore why the semiconductor capital equipment sector is outperforming, with Applied Materials up nearly 23% in the past week and ASML gaini... more
On this episode of The AI Podcast, Lucas and Luna dig into a striking divergence in the AI sector: while big chip names like Nvidia and AMD have seen mixed performance, equipment makers ASML and Applied Materials are up double digits over the past we... more
Lucas and Luna dive into the rise of 'vibe coding' — AI-assisted coding that lets non-engineers build software by describing what they want in plain language. They explore why startup Base44 just launched its own model, what Chamath Palihapitiya's $1... more
The AI chip trade used to move as one block. Not anymore. In this episode, Lucas and Luna break down the surprising divergence between chipmakers and equipment suppliers, using Applied Materials' 18.6% weekly surge and Lam Research's 10.7% gain as a ... more
On June 29, 2026, the AI chip trade is in turmoil. NVIDIA is down 7.7% over five days, AMD off 5.4%, and the SOXX semiconductor index has dropped nearly 10%. Yet equipment makers like Applied Materials are only down 2.1%, and ASML fell 7% — less than... more
Lucas and Luna explore a surprising paradox: Ford is rehiring veteran engineers after discovering that AI-driven design tools couldn't replicate decades of real-world manufacturing intuition. They unpack the TechCrunch report from June 28, 2026, and ... more
On this episode of The AI Podcast, Lucas and Luna break down the sharp selloff in AI chip stocks on Friday, June 26, 2026, with NVDA dropping 7.7% in five days and ARM falling 18%. They examine the divergence between soaring AI demand and falling chi... more
Lucas and Luna unpack the shift from text-only AI to multimodal models that see, hear, and generate images. They anchor on the latest release from Anthropic — the Mythos model — which processes text, images, and audio natively. The hosts discuss how ... more
Key Facts
Hosts
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #207 |  Italy/Business |
Apple Podcasts | #119 |  Chile/Business |
Top Business Podcasts
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
The show centers on the latest in artificial intelligence, focusing on concrete models, benchmarks, and deployment decisions rather than hype. Episodes explore topics like sophisticated model architectures, benchmark performance across reasoning and coding tasks, inference cost curves, and practical tradeoffs for enterprise AI adoption. The hosts are data-driven and policy-aware, often contrasting real-world performance with theoretical claims, and they frequently discuss governance, licensing, and the economics of AI tooling. A standout angle is the way episodes tie technical detail to business impact—such as how latency reductions, cost per query, or retrieval-augmented generation can improve enterprise ROI and product decisions. Overall,... more
Where can I find podcast stats for this podcast?
Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does this podcast get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for this podcast?
Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does this podcast have?
To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
How many episodes of this podcast are there?
this podcast launched a month ago and published 84 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact this podcast?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for this podcast?
Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for this podcast?
Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.