scaling compute on your context

San Francisco
Joined April 2026
Models know the internet. @EngramLab believes they should know you. Congrats to @dan_biderman and the team. few have worked on continual learning longer.
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By scaling compute on user context, we reduce token spend. But it's about more than lowering cost. To develop expertise is to reduce the energy it takes to solve a problem, freeing capacity to solve harder problems yet Was great chatting about this with the amazing @LM_Braswell!
The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️
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The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️
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Discussing @EngramLab's technical bets with @LM_Braswell at @kleinerperkins's Amazon room.
The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️
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this is a wonderful group of people working on really interesting problems! me and @aslanpouthakoun had the very fun (and maybe a little intimidating) experience of giving a talk on finetuning at engram a few weeks ago, and we couldn’t have asked for a better audience
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Engram retweeted
Engram is one of the more sophisticated teams I’ve had the pleasure of working with at Modal exciting launch, looking forward to assisting with even weirder deployments in the future!
Modal's been super important for our velocity over the last 6 months - Training on each user's context means scaling out to thousands of GPUs in quick bursts. Modal allowed us to do this from day zero, before we could keep a large committed cluster hot - Our research team experiments with weird parameterizations all the time and needs to make changes to our inference and training servers. Modal makes it super easy for everyone on the team to deploy new endpoints for dogfooding and eval
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Engram retweeted
Jason Wei
@_jasonweiJun 23
Replying to @EngramLab
cool vision, congrats on the launch!
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Modal's been super important for our velocity over the last 6 months - Training on each user's context means scaling out to thousands of GPUs in quick bursts. Modal allowed us to do this from day zero, before we could keep a large committed cluster hot - Our research team experiments with weird parameterizations all the time and needs to make changes to our inference and training servers. Modal makes it super easy for everyone on the team to deploy new endpoints for dogfooding and eval
It's been awesome getting to work with this team on their infra needs over the past few months. Congrats on the launch!
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