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Has AI been a net positive or negative for survey research?
In episode 1 of The Signal, Dr. David Rothschild (@MSFTResearch, @AAPOR AI task force Co-chair) joins @andrew_j_gordon on where AI helps, where synthetic data breaks down, and why transparency beats standards.
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Thrilled to support @AgenticAIFdn event on Post-Training, Evals & Self-Improving Agents!
Our VP Eng speaks on agentic evals - trajectory capture and human feedback data. Lineup includes @GoogleDeepMind, @imperialcollege/@Cohere, @PhysicsxAI, @Vercel.
luma.com/rs92x0u9
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Prolific retweeted
Better models, better RL, better evals, better context - what actually makes agents improve?
We are bringing together researchers and engineers for the next @AgenticAIFdn London event 🇬🇧
Register here:
luma.com/rs92x0u9
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A big thanks to attendees, moderator Albert Chun, and our panelists who brought real substance to the discussion.
Keep up with our events: luma.com/prolific
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Who gets to judge the model?
Prolific and AI Circle are bringing researchers, founders, operators, and technical leaders together in NYC, Sept 16th, for a candid panel on who should actually decide whether a model is good.
RSVP ↓
luma.com/4jliw8f5
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🚨 In 24 hours: a fireside chat on what makes a research platform trustworthy with Andrew Gordon and Becca Richards.
We’ve already had great questions come in which we'll be tackling live, tomorrow @ 12 PM EDT / 5PM BST 👉 riverside.com/webinar/regist…
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Prolific retweeted
Today we launched The Signal, @Prolific's new podcast on research evidence, not research tools or trends.
David and Andrew discussed what research quality looks like once you remove the human from the process. Give it a watch!
Has AI been a net positive or negative for survey research?
In episode 1 of The Signal, Dr. David Rothschild (@MSFTResearch, @AAPOR AI task force Co-chair) joins @andrew_j_gordon on where AI helps, where synthetic data breaks down, and why transparency beats standards.
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Prolific retweeted
Our team recently tested whether AI can replace human survey respondents, using simulated LLM personas against a real US survey (N = 996).
Turns out demographic personas make it worse, idiographic information helps a little, and output format is the biggest lever of all.
Synthetic data predicts human opinion; it's not a substitute for measuring it.
Pre-print: papers.ssrn.com/sol3/papers.…
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MTurk's full closure has researchers rethinking online recruitment.
Join @andrew_j_gordon and Becca Richards for a fireside chat on participant vetting, platform design, and data quality, backed by years of independent research.
🗓️ Thu Sept 10, 12:00 PM EDT / 5:00 PM BST.
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Great panel with AI Circle in London recently on agent harnesses, evals, and what it really takes to get agents from demo to production.
Thanks to our speakers from @Meta, @ElevenLabs, @OvermindLab, & moderator @josephinePqt1 for leading a rich conversation (and sharing the 📸)
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If you missed this one, follow our Luma to keep up with upcoming events ↓
luma.com/prolific
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Every one of them cleared registry verification, specialty confirmation, and a proficiency check built for judging AI reasoning. Less than 1 in 7 applicants get in.
Request a sample dataset: prolific.com/healthcare-ai?u…
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🎧 @UMG’s audio wellness venture, Sollos, needed research that could keep pace with a fast-moving team.
Rory Smith and Emma Rugg joined us to discuss why the Sollos team chose Prolific over managed service providers.
piped.video/O341Wq3ddjM
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