martianvoid

These people are playing on a completely different league

Pretty cool application of an embedding model

This reads like a bunch of random sentences from ML stitched together very much similar to random physics paper title generator

I think the 2.5 times cost but actually pays off in terms of intelligence compared to jev and the general capability of using it beyond classification

I think Opus 5.5 is now fast enough with the inference stack improvements that they did. Sonnet 5.5 is around 140 tokens/s when I had measured it last time. A $20 subs on claude and using only sonnet 5.5 will last a lot

I just tried to play around with it on my RTX pro 6000 setup, it spends way too many tokens on overthinking stuff even if it’s able to catch the correct approach

Its speed is pretty good on the other hand with only 3B active parameters I am getting around 170 tkn/s on fp8

I think maybe they have enough compute to try out all the promising directions at a smaller scale first and then port them to larger run

They also have incredibly smart people that can understand which improvements and directions are even worth pursuing for, I think these people are being paid in millions

I am nerd snipped

Isn't this trivial? Any coding agent can and will perturb/modify it's own trace/session files if provided the right incentive structures, sometimes I just ask claude code to remove sections from it's own session that didn't contributed anything and were unnecessarily bloating the context

I don't care if this is a PR stunt or a highly exxaggerated contribution of claude in the entire ebola tracking scenarios, I feel very optimistic about the future around how these models are just becoming a daily life tool for everyone and not just programmers or tech bros

> Input Output

> Kimi K3 $3.00 $15.00

> Qwen3.8 2.4T-A95B $2.00 $6.00

Why is kimi priced at twice that of qwen 3.8? If I remember correctly both of them are of the same 2.5T param family. I wonder kind of optimizations or hardware they have that make such pricing differences for the same sizes of models