DeepSeek just dropped an AI system that, by all known rules, shouldn’t work—yet it does. Two Minute Papers breaks down how they’re squeezing GPT-4-level reasoning out of a fraction of the compute, using a clever mix of sparse attention and reinforcement learning. This isn’t just a tech flex; it’s a wake-up call that the “scaling is everything” dogma is cracking. My take? If this holds up, we’re about to see a wave of lean, efficient models that democratize AI—no more billion-dollar training runs. The real question isn’t *if* this changes the game, but who’s brave enough to bet against the giants. What’s your move when the cost of intelligence drops 100x? Full video link https://youtu.be/L9mMfAFwbl4