xAI's Grok 3: Scale Trumps Cleverness in the AI Race
xAI's Grok 3 large language model has demonstrated exceptional performance in benchmark tests, even surpassing models from established labs like OpenAI, Google DeepMind, and Anthropic. This reinforces the 'Bitter Lesson' – scale in training surpasses algorithmic optimization. The article uses DeepSeek as an example, showing that even with limited computational resources, optimization can yield good results, but this doesn't negate the importance of scale. Grok 3's success lies in its use of a massive computing cluster with 100,000 H100 GPUs, highlighting the crucial role of powerful computing resources in the AI field. The article concludes that future AI competition will be fiercer, with companies possessing ample funding and computational resources holding a significant advantage.