“The number one request of Luna… was I want it to be even cheaper and even faster… we’re pushing the technology super fast and super low cost for common use cases.”
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Said on The Every Podcast
Latent Space: The AI Engineer Podcast · Academia is for Ambition - Alex Zhang, MIT
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reported that GPT-5.6-generated kernels made Terra and Luna 80% cheaper to run
80% cheaper
“The number one request of Luna… was I want it to be even cheaper and even faster… we’re pushing the technology super fast and super low cost for common use cases.”
“They got the same parts made ... 20 to 40% cheaper. And of course, time to get them was also much lesser.”
“I use Fable for a bunch of stuff... I like Sonnet for subagents. I basically never use Terra, and I never really use Haiku”
“I was down 8 million and I made 11 million… I put it all in on Friday… the options were cheaper”
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