Just when you thought the AI race couldn’t get any crazier, DeepSeek goes and throws a curveball that’s got everyone talking. 🚀 Not long after shaking up Wall Street with its generative AI, this Chinese tech titan is back, and this time, it’s aiming to outpace its Western competitors with something straight out of a sci-fi novel: self-improving AI models.
Picture this: an AI that doesn’t just soak up human knowledge but actually gives itself a pat on the back (or a virtual slap on the wrist) to get sharper. That’s the wild idea DeepSeek and Tsinghua University are cooking up with their Self-Principled Critique Tuning (SPCT) and Generative Reward Modeling (GRM). We’re not talking baby steps here; this is a giant leap for AI kind.
A pre-print paper spills the beans that DeepSeek’s DeepSeek-GRM models are already giving giants like Google’s Gemini, Meta’s Llama, and OpenAI’s GPT-4o a run for their money. And in a plot twist no one saw coming, they’re making these models open-source. Bold move, DeepSeek. Very bold. 💥
But let’s not get ahead of ourselves. With great innovation comes great debate. Remember Eric Schmidt’s (yeah, the ex-Google CEO) fretting over a “kill switch” for self-improving AI? Suddenly, that doesn’t sound so out there. The idea’s been around since the ’60s, but DeepSeek might just be the one to bring it into the limelight.
From Meta’s self-rewarding experiments to Google’s Dreamer, the competition’s heating up. But as IBM and others throw their hats in the ring, the big question is whether DeepSeek can dodge the dreaded “model collapse” bullet. Whatever happens, the AI game is changing—fast. 😮
