Anne Marie Droste

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Anne Marie Droste

Anne Marie Droste

@AmDroste

Co-Founder at Tacit Labs Evals & hocus pocus

San Francisco Se unió Haziran 2012
1.4K Siguiendo1.7K Seguidores
Anne Marie Droste retuiteado
Alex
Alex@dubsa98·
As someone who works with transgenic mouse models for cancer research, this is objectively one of the funniest things I’ve seen a real life politician post
Rep. Nancy Mace@RepNancyMace

Animals should not be used for radical transgender experiments. This is not science. This is ideological cruelty paid for by the American taxpayers. Our TRANS MICE Act ends it. No federal funds may be used to conduct, support, or fund research aimed at altering an animal's biological sex. No hormones. No surgeries. No taxpayer dollars spent mutilating animals in the name of transgender ideology. This legislation brings accountability, ends taxpayer-funded cruelty, and ensures science serves the public, not ideology.

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Neal Amin
Neal Amin@neal_amin·
@bauer_lesavage @_DimensionCap biological data is heavily corrupted. Crystallography protein structures are the exception. Measuring nature is the real bottleneck to ai bio
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Bauer LeSavage
Bauer LeSavage@bauer_lesavage·
The training data market has exploded for LLMs and bio foundation models are next. But biological data is extremely complex and requires a data generation playbook that prioritizes quality over immediate scale. @_DimensionCap Research article live now! research.dimensioncap.com/p/on-training-…
Bauer LeSavage tweet media
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Anne Marie Droste
Anne Marie Droste@AmDroste·
Extremely proud to have worked on this with @joyjiao12 and team for @OpenAI. Not an easy one to pull off with a 4 person team, but @KR_Skelly @maxisawesome538 @ninklefitz cooked. Huge thank you to all the @tacitlabsco writers and reviewers!
OpenAI@OpenAI

Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research. Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research workflows. openai.com/index/introduc…

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David
David@DavidSHolz·
dream harder
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Nicole Fitzgerald
Nicole Fitzgerald@ninklefitz·
all the @tacitlabsco brand work was done by my brother, Connor, who is infinitely cool and my favourite person to make stuff with. everyone should work w him! contact info below -
🌎@garbnzgh

@ninklefitz @tacitlabsco Congrats! Who did the brand work? It’s very nice

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Karan Singhal
Karan Singhal@thekaransinghal·
One of the ways scaling test-time compute can benefit people most: have reasoning models think really hard about rare undiagnosed diseases. Today we’re sharing published evidence that this can work, in some of the most difficult pediatric cases!
OpenAI@OpenAI

Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years.

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Anne Marie Droste
Anne Marie Droste@AmDroste·
When I first met @ninklefitz, she convinced me that science is the next LLM research frontier, long before that became obvious. Together we started @tacitlabsco and set out to compress the 10 year, $1B verification loop in biopharma. Fast, abundant, reliable verifiers are the single biggest lever we have in meaningfully training and deploying models. I believe in a future where drug discovery and development is abundant; millions of agentic, zero person biotechs will explore therapeutic hypotheses autonomously, in parallel. We're hiring!
tacit labs@tacitlabsco

Introducing Tacit Labs: an applied research lab at the intersection of AI and biology.

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Nicole Fitzgerald
Nicole Fitzgerald@ninklefitz·
I've started a new company called @tacitlabsco, an applied research lab at the intersection of AI and biology. 1/n
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Anne Marie Droste
Anne Marie Droste@AmDroste·
@nicetomeetyu2 Ha! OAI are (and Ant the other way around) restricted from each others' API. OpenAI are planning on hosting the benchmark on an independent platform soon so we'll see Claude scores.
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Anne Marie Droste
Anne Marie Droste@AmDroste·
I think that as evals become more realistic, they will increasingly rely on ground truth signal (ie raw biochemistry experimental data), rather than 'opinion', so yes. At the same time, there's a *lot* of human knowledge that we haven't captured yet, and deterministic verifiers force black and white answers where the reality is grey.
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@jontycorrin @neal_amin @bauer_lesavage @_DimensionCap @Basecamp_Res @isabelle_zhou @joyjiao12 @OpenAI