They invented a hybrid attention design that drastically reduces the amount of memory needed for the KV cache at inference time. Like, dividing it by 10. And memory is a large part of the cost of inference.
This is a main part of the reason, yes. They actually innovated and did something that pushed the technology forward to be much more efficient, which we first saw with DeepSeek R1 for different reasons.
Are they eating the cost? How are they able to do it while others are unable to?
They invented a hybrid attention design that drastically reduces the amount of memory needed for the KV cache at inference time. Like, dividing it by 10. And memory is a large part of the cost of inference.
This is a main part of the reason, yes. They actually innovated and did something that pushed the technology forward to be much more efficient, which we first saw with DeepSeek R1 for different reasons.
I see, I will look on some yt video who explain this in depth
easy: users pay the difference with their data
Yeah because american tech companies never spy on your or steal your data…
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probably even with duck.ai. nobody could prove they are doing it, even if they are doing it
I don’t use any of tiktok or meta but I believe tiktok is more addictive by design.
i never said that. In fact, openai gives for free 2.5 million of gpt-5.5 tokens every day if you share all your inputs for training.
It was the answer to “why it’s this cheap?” => because it’s subsidized by your data
I think what they meant is “why is this so cheap relative to American competitors since they’re all stealing your data just as much.”