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Howard Chen
Engram
217 posts
Howard Chen profile banner
@__howardchen

Howard Chen

Engram
@__howardchen
Research @EngramLab Prev: PhD @Princeton
howardbchen.com
Joined August 2013
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  • Pinned
    @__howardchen
    Howard Chen
    Engram
    @__howardchen
    Aug 17
    The paradigm in the last few years has been scaling reasoning to get better performance. It will remain to be extremely important (yet costly). There's another axis to scale: through study, our agent internalizes the env and navigates it with familiarity and intuition. We are
    @EngramLab
    Engram
    @EngramLab
    Aug 17
    Today we're publishing our first research blog, Understanding a Law Firm through Study. We're sharing a glimpse of a future where agents are trained with native memory:
    Image
  • @__howardchen
    Howard Chen
    Engram
    @__howardchen
    Aug 7
    This is a super interesting and important benchmark. It captures something fundamental about how agents should understand a law firm workspace (clients, matters, and practice areas) to be useful and efficient. It's a great pleasure working with @harvey on this!
    @ItsJulioPereyra
    Julio Pereyra
    @ItsJulioPereyra
    Aug 7
    Article cover image
    Article
    LAB: Law Firm Knowledge
    We are open-sourcing our next LAB expansion: a synthetic law firm, Calderwood & Harkness (“C&H” or “the firm”). Built in collaboration with @engramlab, the firm contains work product from more than...
  • @__howardchen
    Howard Chen
    Engram
    @__howardchen
    Jun 23
    @jxmnop lolll
    1
  • @__howardchen
    Howard Chen
    Engram
    @__howardchen
    Jun 23
    There are few moments in a lifetime to be part of something that gives you a sneak peek into the future, and I’ve been seeing sparks of something different firsthand @EngramLab since I joined earlier this year. Many exciting things to come soon!
    @EngramLab
    Engram
    @EngramLab
    Jun 23
    Article cover image
    Article
    Introducing Engram: Scaling compute on your context
    We’re Engram. We’re building AI that learns from you and deeply understands your work. Today’s AI models don’t understand what you do. Not really. Everything models know comes from their training –...
    5
  • @__howardchen
    Howard Chen
    Engram
    @__howardchen
    Nov 5, 2025
    We let agents accumulate its context freely assuming little or no side-effects. This may not be the case! Sometimes they answer political or moral questions differently and even act differently after reading or conducting research. More analysis in the thread!
    @JiayiiGeng
    Jiayi Geng
    @JiayiiGeng
    Nov 5, 2025
    We use LLMs for everyday tasks—research, writing, coding, decision-making. They remember our conversations, adapt to our needs and preferences. Naturally, we trust them more with repeated use. But this growing trust might be masking a hidden risk: what if their beliefs are
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