Engram

“Engram, an SF-based AI memory layer startup, raised $98m from General Catalyst, Kleiner Perkins, Sequoia Capital, Factory, Modern, Amplify Partners, and Neo.”

“The bottleneck for making these models more useful these days is not really raw intelligence, but understanding new and evolving context... How do you bake that into the model weights the same way that pre-training and post-training bakes that into the model weights very deeply?”

“We're training per-team models within these workspaces that deeply understand those contexts and can improve with time on the things that people care about.”

“Demis at the Sequoia event about a month ago said pretty clearly that we need new breakthroughs around these topics. And obviously they're thinking about them. We're just focusing exclusively on this.”

“We need all these smart people and Anthropic interpretability to try and break them apart.”

“Anyone else who's seen the ChatGPT moment and went to do some work at Mosaic and stuff like that to learn how the sausage is made on the NLP side.”