[onlyrealcuzzo]

If you watch this video, it explains well what the major difference is between DeepSeek and existing LLMs: https://www.youtube.com/watch?v=DCqqCLlsIBU

It seems like there is MUCH to gain by migrating to this approach - and it theoretically should not cost more to switch to that approach than vs the rewards to reap.

I expect all the major players are already working full-steam to incorporate this into their stacks as quickly as possible.

IMO, this seems incredibly bad to Nvidia, and incredibly good to everyone else.

I don't think this seems particularly bad for ChatGPT. They've built a strong brand. This should just help them reduce - by far - one of their largest expenses.

They'll have a slight disadvantage to say Google - who can much more easily switch from GPU to CPU. ChatGPT could have some growing pains there. Google would not.

[wolfhumble]

> I don't think this seems particularly bad for ChatGPT. They've built a strong brand. This should just help them reduce - by far - one of their largest expenses.

Often expenses like that are keeping your competitors away.

[onlyrealcuzzo]

Yes, but it typically doesn't matter if someone can reach parity or even surpass you - they have to surpass you by a step function to take a significant number of your users.

This is a step function in terms of efficiency (which presumably will be incorporated into ChatGPT within months), but not in terms of end user experience. It's only slightly better there.

[ReptileMan]

One data point but my subscription for chatgpt is cancelled every time. So I made every month decision to resub. And because the cost of switching is essentially zero - the moment a better service is up there I will switch in an instant.

[onlyrealcuzzo]

There are obviously people like you, but I hope you realize this is not the typical user.

[tomrod]

That is a fantastic video, BTW.