
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 be... more
| Publishes | Daily | Episodes | 129 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||

Today we look at a fascinating intersection: AI-powered attacks and AI-powered defenses. A startup called AegisAI, founded by former Google security executives, just raised $36 million to stop AI-driven spear phishing. We break down how these attacks... more
Lucas and Luna break down the bizarre divergence in AI markets as of late July 2026. While chip stocks like AMD (+10.3%) and Super Micro (+23.8%) rally, cloud giants Microsoft and Meta are down. The hosts explore how hyperscaler capital expenditure c... more
In this episode of The AI Podcast, Lucas and Luna explore a paradigm shift in AI training: models generating their own synthetic data. They discuss how companies like Microsoft and Meta are using 'self-play' and 'synthetic data pipelines' to train ne... more
Lucas and Luna examine why consumer AI wearables like the Humane AI Pin and Rabbit R1 have flopped while enterprise AI adoption accelerates. Lucas notes that Humane sold just 10,000 units before shutting down, while Rabbit shipped 130,000 units but s... more
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Apple Podcasts | #211 |
Listeners, social reach, demographics and more for this podcast.
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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
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this podcast launched 2 months ago and published 129 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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