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Amy Tam
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Amy Tam

@amytam01
data @xAI
San Francisco, CA
Joined March 2019
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    Amy Tam
    @amytam01
    Feb 17
    Article cover image
    Article
    The Cost of Staying
    Every technical person I know is doing the same math right now. They won’t call it that. They’ll say they’re “exploring options” or “thinking about what’s next.” But underneath it’s the same...
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    Amy Tam
    @amytam01
    Jun 2
    Personal update: I’ve joined @SpaceX and @xai. After investing in the future of work and AI at Bloomberg Beta, it became clear: AI capabilities are advancing and compounding at an unprecedented rate. It only made sense to join the team accelerating the fastest and to build the
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    Amy Tam
    @amytam01
    May 7
    This is a pretty unusual moment in history. Every day, AI is changing how we work in ways that felt impossible not long ago, and the labs are where that's happening most directly. While I've had the experience of a lifetime at Bloomberg Beta, I wanted to see what it's like inside
  • user avatar
    Amy Tam
    @amytam01
    May 1
    how long do you think they spent coming up with their names
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    Shaurya Jain
    @jain_shaurya_
    Apr 30
    Therapist: linear neolabs are not real, they cannot hurt you. me:
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    Amy Tam
    @amytam01
    Apr 9
    Making a model useful means making its outputs trustworthy: verifiably true, or at least grounded in sound reasoning. But for many important domains (non-verifiable or long-horizon tasks), correctness is hard to define when there's more than one right answer and no feedback loop
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    Jeremy Baum
    @_jeremybaum
    Apr 9
    Article cover image
    Article
    Equally smart, unequally useful: model behavior dictates all
    Some models just “feel” better. Does this mean they’re smarter? Frontier models have become increasingly more intelligent and are practically indistinguishable in terms of raw knowledge. Both GPT and...

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