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luminatiyesterday at 9:01 PM1 replyview on HN

Relevant: https://news.ycombinator.com/item?id=48016224 what's the differnce between this vs running shannon on aws/bedrock fully airgapped in my vpc? I've got some pretty great results with shannon [no subprocessor and can pay via aws credits]. Even better using claude code token [effectively free with our $200/mo cc subscription] I tried kimi but it generally spins it's wheels extensively in it's thinking tokens. kimi2.7 is an attempt at reducing this. But doing finetuning, means you will always be behind the latest.

as a side note - I think it's very unprofessional and very shitty to not mention kimi2.6 at all in your marketing copy. and i feel that you posted that in this hn post begrudgingly since the hn crowd would have flagged that. confirmed with a google search too: https://www.google.com/search?q=kimi+site%3Aargusred.com

All around your marketing website you keep mentioning - 'A model lab built it'. A fintune does not maketh you a model lab - some humility please :)

finally - doesn't Kimi's licensing prohibit you from not mentioning them? Didn't cursor run into the same issue?


Replies

dk189yesterday at 9:46 PM

It's named throughout our main website, the RL is on Kimi K2.6, benchmarks are vs K2.6: https://cosine.sh/blog/introducing-lumen-outpost. The ArgusRed page is a week old so it's not on there yet, but nothing's hidden. And K2.6 only needs attribution above a certain scale, the threshold Cursor hit and we haven't.

On Shannon airgapped in your VPC, if it works for you, you might not need us. A normal model will refuse or hedge on offensive tasks, we post-trained ours to just run the authorised stuff. For this one narrow job, a specialist that'll actually attack beats a generalist that won't.