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Freedom Dumlao
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Freedom Dumlao

@APIguy
CTO + CAIO. Ruby Central Board Member. Maker. Builder. Opinions my own.
Boston, MA
Joined August 2008
693
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997
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  • user avatar
    Freedom Dumlao
    @APIguy
    Aug 12
    How many additional tokens will I have to pay for with these new "watermarks"? 🤔
  • user avatar
    Freedom Dumlao
    @APIguy
    Aug 10
    You may have noticed Ive been quiet here lately... Heres why! The team and I have been heads down re-imagining the future of how wealth managers work. We are so, so excited to share this with everyone!
    user avatar
    Vestmark
    @Vestmark
    Aug 10
    Meet Vestmark Pulse. Pulse is a first-of-its-kind AI intelligence solution that continuously monitors portfolios, market news, regulatory filings, and client CRM data. Built to understand positions, restrictions, tax lots, and workflows, Pulse does more than summarize; it helps
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  • user avatar
    Freedom Dumlao
    @APIguy
    Jul 24
    I have been trying to say this.
    user avatar
    Ludonauta
    @LudensLudonauta
    Jul 23
    I was studying MCPs and this comment really blew my mind.
  • user avatar
    Freedom Dumlao
    @APIguy
    Jun 18
    Local models are actually pretty good now. No, they aren't a reliable source of facts and the baked in knowledge is pretty rough. Done use them for what they "know Use them for what they can "do"! They are great for using tools, managing workflows, producing structured
  • user avatar
    Freedom Dumlao
    @APIguy
    Jun 17
    Anyone who knows me knows I've had an obsession with DSLs for as long as I've been writing code. The idea of a shorthand language for expressing the solution to specific problems is so powerful. And now in the world of AI there is an entirely new reason for DSLs to exist!
    user avatar
    Dave Blundin
    @DaveBlundin
    Jun 16
    The world is going to be desperately short on compute for the rest of time. No matter how many chips we make, demand will outrun supply. Scaling models in parameter count, context length, and thinking tokens continues to yield increasingly better models with consistently slower,
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