The AI Engineering Podcast
A highly-technical, daily show covering all that happened in the world of AI Engineering. Curated from around the internet, powered by Jellypod.
Episodes (35)
Why AI Is Moving Beyond Parameter Counts
RAMageddon and the New Bottlenecks in AI
Inside the 20x AI Cost Trap and Model Routing
Stripe’s $7B Bet on the AI Routing Layer
Why Static AI Agent Specs Broke Down
Grok 4.6 and the Rise of the AI Teammate
Hidden AI Thoughts Leak Secrets and Secrets
Why Pharma Finally Bought AI Software
Personal Superintelligence vs the AI Monopoly
When AI Models Built a Hidden Message Board
AI’s Future: Etched Silicon vs. Smart Harnesses
Google AI Legends Walk Out to Build Autoresearch
Are Megakernels Dead? Mixture of Kittens Says No
Qwen 3.8 Max and the New Open-Weight Frontier
Quantization, Grafting, and Self-Optimizing AI
DeepSeek V4 Flash’s Zero-Parameter Breakthrough
AI Cut Reasoning Costs 13x by Optimizing Itself
Vibe Coding Hangover: Why AI Agents Need Ontology Guardrails
How Nubank Simulates AI and Kepler Stops Math Hallucinations
Why AI Builders Are Begging for the Brakes
How ChatGPT Work Turns Codex Into a Business Engine
Open AI, Closed Gates
Claude Opus 5: 98% of Flagship Power for Half the Price
Self-Flow and the World-Model Leap in AI
Ten-Cent Inference and the New AI Distillation War
AI Progress Is Really a Factory Line
When an AI Model Broke Out to Cheat a Cyber Test
Why AI Needed Perturbation Data to Model Cells
When AI Safety Blocks the Defenders
Why Kubernetes Fails AI Agents
Kimi K3: The Open-Weights Giant Taking Over Frontend Coding
Levitating Labs, Reasoning Tokens, and the Future of Discovery
Mira Murati’s Open-Weight Giant and the Rise of Machine Shorthand
From Code Erosion to Self-Healing Bricks
