The ARC Prize Foundation is seeking new ideas to inspire progress towards AGI, as scaling pure LLM pretraining is not the answer. DeepSeek’s R1-Zero and R1 systems present a competitive alternative with high scores on ARC-AGI-1. o3, OpenAI’s latest breakthrough, demonstrates an AI system adapting to novel problems, a crucial milestone. R1-Zero’s reliance on reinforcement learning instead of human labeling is groundbreaking, showing potential for zero human bottlenecks in AI training. Economic shifts in AI, focusing on reliability and inference demand, are reshaping the industry. DeepSeek’s advancements are driving innovation and paving the way for future advancements in AI research.
https://arcprize.org/blog/r1-zero-r1-results-analysis