Deepseek self-improvement
- What happens when you let AI “learn like humans”? (Hint: It’s more relatable than you think!) [0:00]
- Why Deep Seek R10 was thrown into the deep end with zero support—and how it performed shockingly well. [1:30]
- How teaching an AI to “ride a bike” led to breakthroughs in problem-solving you have to hear to believe. [2:15]
- The unorthodox method that replaced mountains of labeled data with a puzzle-solving approach—and why it worked. [3:10]
- What’s the difference between Deep Seek R10 and R1? The subtle change that skyrocketed its reasoning abilities. [4:05]
- Why reinforcement learning could be the future of AI—and how it mimics your brain’s natural learning process. [4:45]
- What one mistake taught this AI more than weeks of traditional training—game-changing results inside. [5:30]
- Did Deep Seek R10 actually surpass human reasoning on complex benchmarks? You’ll be surprised at the answer. [6:10]
- The hidden truth about AI reasoning benchmarks—how this model smashed expectations. [6:45]
- Why researchers called this project “pushing the boundaries” of AI—and what it means for the future of tech. [7:20]
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