“We're able to train a classification algorithm ... when you have a string of negative results and then finally ... get to that positive result”
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Said on Latent Space: The AI Engineer Podcast
“We realized ... if people wanted to get a negative result, it was quite easy ... we had to work out a way of bypassing it so that people wouldn't get negative results”
Andrew Jacobs · The Learning & Development Podcast: The #1 L&D Show · What Is L&D For? Identity, Impact and Agency with Andrew Jacobs
Play from 42:52
42:52
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What was described
Redesigned a lateral flow training process to prevent participants from easily obtaining negative results by analyzing why the cheating occurred and building a bypass
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“The objective is to build genuine credibility across the wider web… contributing expertise to industry publications, obtaining relevant media coverage, generating real customer reviews, participating usefully in Reddit discussions, publishing original research, appearing in credible directories.”
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“Pre-specifying sensitivity analyses… results are consistent when analyzed in different ways.”
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