[rvz]

Exactly. They did not have to open up their research up and this is what happens when smart researchers are forced to squeeze performance gains out of existing hardware.

They don't have TPUs or access to the latest Vera Rubin GPUs either to get performance gains for free. All of the optimizations Deepseek have done are in software and it goes down to the PTX assembly level.

Compared to Anthropic who are celebrating in fixing a flickering issue in a terminal app which took months to fix.

[vidarh]

> Compared to Anthropic who are celebrating in fixing a flickering issue in a terminal app which took months to fix.

It's funny, because if you ran Claude Code on a slow terminal, the cause of the flicker was obvious: They kept dumping the entire history of the chat back into the terminal in a number of situations, and relied on the terminal to them end up in the correct state.

[yorwba]

Anthropic almost certainly also has optimized software down to the assembly level, considering this take-home interview challenge they published: https://github.com/anthropics/original_performance_takehome/... which is all about instruction-level performance optimizations. That they don't prioritize UI fixes just means they consider other things more important.

[lelanthran]

Unlikely: that product is written completely by AI, of which they are not lacking.

More likely is that an AI generated codename is impossible to fix by humans, and SOTA was not able to figure it out until now.

[lionkor]

that's pretty silly to use as a measure of what they do internally