> CS-4 delivers more than 1,000 tokens per second on models exceeding 10 trillion parameters
Oops did they just out GPT-5.6 sol’s parameter count?
Oops did they just out GPT-5.6 sol’s parameter count?
I’ve got sone bad news about Federal Express.
For a charity? Assuring donors that funds are being managed appropriately.
For Anthropic? No benefit at all.
Turns out "transparency" is like "weight" or "velocity" in that it has no intrinsic value, and can be positive or negative depending on context.
If Fable turns out to be a 10T or 20T model, there is little to boast vs Kimi at 3T. But the opposite is true: if Fable were to be e.g. a 500B model, that would show how far ahead they are from the open models. This isn't likely to be the case ...
It seems it takes some time to run a new model on all the benchies, not sure they run all models on all of them either