2B is too little too late as well. It’s almost embarrassing. MS dumped 10B into OpenAI. 2B is a lukewarm, visionless move.
2B is too little too late as well. It’s almost embarrassing. MS dumped 10B into OpenAI. 2B is a lukewarm, visionless move.
If MS actually bought OpenAI, it would be a different story.
> Google will have multiple very large clusters across their infrastructure for training and by far the lowest cost per inference, but this won’t automatically grant them the keys to the kingdom. If the battle is just access to compute resources, Google would crush both OpenAI and Anthropic.
> Being “GPU-rich” alone does not mean the battle is over. Google will have multiple different clusters larger than their competitors, so they can afford to make mistakes with pretraining and trying more differing architectures. What OpenAI and Anthropic lack in compute, they have to make up in research efficiency, focus, and execution.
https://www.semianalysis.com/p/amazon-anthropic-poison-pill-...
On top of that they have lots of training data: youtube, gmail, google docs, google drive, indexed www for google search, lots of data from those fancy cars driving around for google street project and probably still some data from google+