Robert J. Redelmeier

492 posts

Robert J. Redelmeier

Robert J. Redelmeier

@RJRedelmeier

Learning to ask better questions. Currently: @UofTMScAC. Past: UHN Social Medicine @MacArtsci @HarvardGH @McMasterForum @BMJ_Latest. He/him.

Canada شامل ہوئے Eylül 2014
2.3K فالونگ169 فالوورز
Robert J. Redelmeier
Robert J. Redelmeier@RJRedelmeier·
@cohere Makes the point that this technology is incredibly promising for productivity, “can drive the growth we need to see” Do think people said the same about all the tech of the past few decades amidst stagnation, but AI definitely is unique.
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Robert J. Redelmeier
Robert J. Redelmeier@RJRedelmeier·
@cohere Two things to watch out for: don’t get trapped in a proof of concept death cycle, and make sure that your employees have access to this technology because they need it and want it at work (something Intuit has done very well IMO).
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Robert J. Redelmeier
Robert J. Redelmeier@RJRedelmeier·
@J_Jankovic @RohanAlexander @TorontoSRI That's valid. I took it as a worthwhile reminder that while we'd really like to think that research is a strong driver of policy, to the point that mistakes in single papers can drive mistaken public policy, it's unlikely to be that clear/causal. (Fun story all the same!)
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Jovana Jankovic
Jovana Jankovic@J_Jankovic·
@RJRedelmeier @RohanAlexander @TorontoSRI Agree, Rohan's talk was great! I haven't seen the video to which that thread objects, but it doesn't sound like the thread itself contradicts the claim that the paper itself (and its error) were *used* (among other things) as justification for austerity.
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Robert J. Redelmeier
Robert J. Redelmeier@RJRedelmeier·
Highlights huon.ai -- submit code, LLM tests with a number of prompts/approaches, then creates github issues if/as necessary for issues in code. Maybe this is easier to integrate than copilot-esque code assistance? More comprehensive, probably.
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Robert J. Redelmeier
Robert J. Redelmeier@RJRedelmeier·
When using LLMs to build that testing, there's a lot of variance based on prompting. I wonder if something like github.com/stanfordnlp/ds… could come in here? (Package to better optimize that prompt engineering approach)
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