
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
by Sam Charrington
Insights from recent episode analysis
Audience Interest
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Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Est. Listeners
Based on iTunes & Spotify (publisher stats).
- Per-Episode Audience
Est. listeners per new episode within ~30 days
25,001 - 50,000 - Monthly Reach
Unique listeners across all episodes (30 days)
75,001 - 150,000 - Active Followers
Loyal subscribers who consistently listen
40,001 - 100,000
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHost
Recent guests
Recent episodes
How to Engineer AI Inference Systems with Philip Kiely - #766
Apr 30, 2026
54m 51s
How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765
Apr 16, 2026
54m 18s
The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764
Mar 26, 2026
1h 03m 18s
Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763
Mar 10, 2026
1h 16m 14s
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
Feb 26, 2026
1h 18m 55s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 4/30/26 | ![]() How to Engineer AI Inference Systems with Philip Kiely - #766✨ | AI inference systemsGPU programming+4 | Philip Kiely | vLLMSGLang+2 | — | inference engineeringGPU programming+5 | — | 54m 51s | |
| 4/16/26 | ![]() How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765✨ | multi-agent systemsgenerative AI+4 | Rashmi Shetty | Chat ConciergeCapital One | — | multi-agent systemsgenerative AI+6 | — | 54m 18s | |
| 3/26/26 | ![]() The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764✨ | diffusion language modelstext generation+4 | Stefano Ermon | Mercury 2Stanford University+1 | — | diffusion modelslanguage models+5 | — | 1h 03m 18s | |
| 3/10/26 | ![]() Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763✨ | autonomous software developmentAI-assisted coding+4 | Siddhant Pardeshi | Blitzy | — | autonomous systemsAI agents+5 | — | 1h 16m 14s | |
| 2/26/26 | ![]() AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762✨ | AI trendsLLM landscape+4 | Sebastian Raschka | Build A Reasoning Model (From Scratch) | — | LLMreasoning+6 | — | 1h 18m 55s | |
| 1/29/26 | ![]() The Evolution of Reasoning in Small Language Models with Yejin Choi - #761✨ | small language modelsreasoning capabilities+4 | Yejin Choi | Stanford UniversityInstitute for Human-Centered AI+1 | — | language modelsreasoning+5 | — | 1h 06m 21s | |
| 1/8/26 | ![]() Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760✨ | roboticsautonomous robots+4 | Nikita Rudin | Flexion Robotics | — | roboticsautonomous robots+4 | — | 1h 06m 37s | |
| 12/17/25 | ![]() Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759✨ | agentic AIpre-training+5 | Aakanksha Chowdhery | PaLMGemini+2 | — | agentic AIpre-training+5 | — | 52m 54s | |
| 12/9/25 | ![]() Why Vision Language Models Ignore What They See with Munawar Hayat - #758✨ | Vision-Language Modelsmultimodal AI+4 | Munawar Hayat | Qualcomm AI Research | — | Vision-Language Modelsobject hallucination+4 | — | 57m 40s | |
| 12/2/25 | ![]() Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757✨ | AI inferenceheterogeneous compute+3 | Zain Asgar | Gimlet Labs | — | AI workloadsGPUs+3 | — | 48m 44s | |
| 11/19/25 | ![]() Proactive Agents for the Web with Devi Parikh - #756✨ | proactive agentsweb interaction+4 | Devi Parikh | Yutori | — | proactive agentsbrowser use models+4 | — | 56m 04s |
Showing 11 of 11
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Chart Positions
14 placements across 14 markets.
Chart Positions
14 placements across 14 markets.











