Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#2377: Is Geopolitical Neutrality a Sustainable AI Strategy?
How DeepSeek carved a niche with efficiency, neutrality, and innovative dialogue handling — and what it means for AI's future.
#2375: Monero: The Digital Cash That Hides Everything
How Monero’s privacy tech makes every transaction untraceable—and why that’s becoming essential in a world of financial surveillance.
#2374: How Granular Can MoE Experts Get?
Exploring the limits of expert granularity in Mixture of Experts models—how narrow can segmentation go before efficiency or accuracy suffers?
#2373: How Facial Recognition Maps Your Face—And Your Rights
The same AI that organizes your photos can track you in a crowd. How does facial recognition work—and why is it so hard to evade?
#2371: The Graph That Thinks: From Data Dots to Human Judgment
Discover how tools like Maltego and Spiderfoot transform single data points into intricate webs of connections, bridging digital and physical inves...
#2368: The Multi-Stage Pipeline Behind Netflix's Recommendations
Unpacking the multi-stage AI pipeline behind Netflix, Spotify, and Amazon’s "you might also like" suggestions—from candidate generation to real-tim...
#2366: Why LLMs Forget the Middle of Long Conversations
Why do large language models struggle with the middle of long conversations? Explore the science behind attention dilution and practical fixes.
#2361: The Cognitive Load of Logs
How Claude Code transforms Linux system administration by automating log analysis and proactive maintenance.
#2359: When the Sandbox Doesn't Fit: Sysadmins Using a Dev Tool
Discover why Claude Code excels as a sysadmin tool despite being designed for developers — and the challenges that come with it.
#2357: Microsoft's Phi: When Data Quality Beats Model Size
Explore Microsoft AI's Phi family of small language models, designed for edge deployment and high efficiency.
#2356: Why AI Coding Needs Two Brains
Discover how specialized fast apply models streamline AI-powered code edits, cutting costs and latency while maintaining precision.
#2355: Why Open-Weight Models Are Winning
Discover how Cogito v2.1 leverages process supervision and MoE architecture to redefine reasoning efficiency in open-weight AI models.
#2354: Profiling a Ghost Model
A deep dive into Amazon Nova, a mysterious AI model family on Bedrock — and the gaps in what we know.
#2353: Evaluating Enterprise AI: Palmyra X5
Explore Palmyra X5, Writer’s flagship AI model designed for enterprise workloads, featuring a million-token context window and agentic capabilities.
#2352: The Structured Output Gap in Vision APIs
How do object detection APIs like Gemini, AWS Rekognition, and YOLO compare for automated annotation workflows?
#2351: AI Model Spotlight: ** Aion-2.0
Why is a biopharma AI lab releasing a storytelling-optimized model? We explore Aion-2.0’s architecture, pricing, and niche adoption.
#2350: NVIDIA's Strategic Pivot: From Chipmaker to Model Builder
Dive into NVIDIA’s Nemotron 3 Super, a hybrid MoE model combining Mamba, Transformers, and multi-token prediction for cutting-edge efficiency.
#2349: The 30-Person Lab Outpacing AI Giants
Discover how Arcee AI’s Trinity Large Thinking delivers cutting-edge reasoning at a fraction of the cost, all from a team of just 30.
#2348: Diffusion Models Take on Text Generation
Explore Inception Labs’ Mercury 2, a groundbreaking diffusion-based language model that rethinks text generation and reasoning.
#2342: How Python Ate Wall Street
Over 80% of equity trades are now executed algorithmically. How did Python libraries quietly democratize quant finance?