Comment by howdareme 13 hours ago Google’s pro models are almost certainly bigger than Openai’s lol 4 comments howdareme Reply fikama 12 hours ago Why would that be? I am curious why do you think that. mnicky 11 hours ago E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard.For intelligence/size only OpenAI and Anthropic are the frontier. Google has more compute so it can compensate for that with size of the models... snovv_crash 10 hours ago I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account. ActorNightly 11 hours ago Because TPUs are more efficient, and its cheaper for them to field them in higher quantity since they own the chip.
fikama 12 hours ago Why would that be? I am curious why do you think that. mnicky 11 hours ago E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard.For intelligence/size only OpenAI and Anthropic are the frontier. Google has more compute so it can compensate for that with size of the models... snovv_crash 10 hours ago I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account. ActorNightly 11 hours ago Because TPUs are more efficient, and its cheaper for them to field them in higher quantity since they own the chip.
mnicky 11 hours ago E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard.For intelligence/size only OpenAI and Anthropic are the frontier. Google has more compute so it can compensate for that with size of the models... snovv_crash 10 hours ago I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account.
snovv_crash 10 hours ago I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account.
ActorNightly 11 hours ago Because TPUs are more efficient, and its cheaper for them to field them in higher quantity since they own the chip.
Why would that be? I am curious why do you think that.
E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard.
For intelligence/size only OpenAI and Anthropic are the frontier. Google has more compute so it can compensate for that with size of the models...
I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account.
Because TPUs are more efficient, and its cheaper for them to field them in higher quantity since they own the chip.