DeepSeek R1
Open-source reasoning model family
Episodes
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#6070: The Papers That Moved AI: From AlexNet to This Year's FightsThe classics all said 'learn it from data and scale it up'. This year's most-discussed AI papers are auditing what scaling took for granted. -
#6029: One Model, Two Modes: Does AI Consolidation Hold Up?OpenAI hides a router, DeepSeek merged two modes, Anthropic removed the knob. Is the model landscape really consolidating? -
#5963: Running One Model Across Mismatched GPUsTensor, pipeline, or offload? What actually happens when you run one model across several GPUs — including mismatched ones. -
#5412: Editing vs. Note-Taking for AI Fine-TunesHand-editing a model's output gives three training signals at once. Writing notes gives one — and a weaker one at that. -
#3595: How DeepSeek Feels More Open Than Western AIWhy Chinese AI models sometimes feel less censored on American political topics than American models do. -
#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. -
#2175: Let Your AI Argue With ItselfWhat happens when you let multiple AI personas debate each other instead of asking one model one question? A deep dive into synthetic perspective e... -
#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. -
#181: Why Your AI Is Finally Stopping to ThinkDiscover how AI shifted from instant reflexes to deep reflection through inference-time compute and hidden reasoning steps. -
#107: The $5.5 Million Breakthrough: DeepSeek’s AI DisruptionDiscover how DeepSeek-V3 is disrupting the AI market with massive cost savings and technical innovations like Multi-Head Latent Attention.