@jxmnop
so xAI just 10x’d the amount of compute we use on RL and the models only got a tiny bit better are we just doing RL wrong? or is pretraining just inherently much more useful https://t.co/xyknCRWemU
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"text": "Funny I thought the opposite. \n\nGrok 4 heavy seems a lot more coherent with complex code and research compared to o3 or o3 pro.\n\nClearly from more compute and 4 concurrent runtimes.\n\nOpenAI has fewer GPUs and more customers, shows if you have more money you can pay for better more coherent model. It’s only $300 a month, a human employee is $10,000 a month, still a lot of room left\n\nAlso seems to be RLed on finishing problems, not on user engagement.\n\nLess sycophantic and better actual help",
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