DeepSeek's R1-Zero: A Human-Free Path to AGI?

DeepSeek released R1-Zero and R1, reasoning systems achieving scores comparable to OpenAI's o1 (15-20%) on the ARC-AGI-1 benchmark, significantly outperforming GPT-4o's 5% relying solely on LLM scaling. R1-Zero is particularly notable for its reliance on reinforcement learning alone, eliminating the need for supervised fine-tuning (SFT). While R1-Zero shows some challenges in readability and language mixing, its strong performance in math and coding domains demonstrates accurate chain-of-thought reasoning without SFT. This opens new avenues in AGI research, hinting at a future where AGI training might completely bypass human annotation.