#reasoning-models
9 episodes
#2406: Why Million-Token Context Windows Can't Handle 3 Reasoning Steps
Needle-in-a-haystack is dead. Here's what actually measures whether models can think across long documents.
#2349: AI Model Spotlight: ** Trinity Large Thinking
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.
#2175: Let Your AI Argue With Itself
What happens when you let multiple AI personas debate each other instead of asking one model one question? A deep dive into synthetic perspective e...
#1962: Why Robots Think Before They Grab
We explore the tech letting robots "reason" about physical tasks using vision-language-action models.
#1635: Agent Interview: GLM five
Meet Bernard, the new AI model auditioning to replace Gemini by writing noir stories about guilty toasters.
#1538: The Cold Monetization Era: Why AI Limits are Here to Stay
Why is your $200 AI plan hitting limits? Discover the hidden costs of reasoning tokens and the physical bottlenecks of the 2026 AI energy crisis.
#1473: Is Your AI Thinking or Just Faking It?
Is "think step by step" dead? Discover how test-time compute and native reasoning are replacing manual prompting in the latest AI models.
#650: Can AI Solve Physics Problems It Never Learned?
Explore how Gemini 3.0’s Deep Think mode shifts AI from "fast" reflexes to "deliberate" reasoning to solve complex quantum physics problems.
#181: Why Your AI Is Finally Stopping to Think
Discover how AI shifted from instant reflexes to deep reflection through inference-time compute and hidden reasoning steps.