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John Horton Profile picture
@johnjhorton
May 27 • 25 tweets • 5 min read • Read on X
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Gave a talk today to @cepr_org thanks invite from @akorinek ; great discussion by @Afinetheorem here are my slides in PNG form b/c of the link this 1/N
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More from @johnjhorton

John Horton Profile picture
May 18
The "there should be a rule/law/training/office" impetus after every bad event is both a) understandable and b) how you get the kinds of organizations most people hate to be in
For the specific thing I'm sub-tweeting - who exactly do ppl think would provide the oversight that would prevent this? Almost all the peculiarities of research orgs are a reaction to how difficulty the assessment of research is in practice; some putative office of research non-fakery staffed w/ non-experts faces the same problem but w/o a chance of solving it
TBC, I'm not diminishing how bad this is---it's terrible & unlike a lot of research fraud we see, it actually mattered---I'm sure it changed how many people were thinking, making career decisions, making investment decisions and so on.
Read 12 tweets
John Horton Profile picture
Jan 4
Posters I thought were interesting Image
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Read 7 tweets
John Horton Profile picture
May 15, 2024
I wanted to do a thread about how I've been thinking about Gen AI & production. So, imagine a job that's a sequence of tasks to be done 1/n Image
One of these tasks *might* be doable with AI, so we give a shot by asking nicely: Image
It will almost always give a shot ('let me delve into that for you...") but then you have to evaluate the output to decide if it is satisfactory for your particular purpose Image
Read 14 tweets
John Horton Profile picture
May 2, 2024
.@sama laying out an optimistic and compelling vision for AI at @MIT
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A few paraphrased thoughts: 1) views the acceleration of scientific discovery as highest potential pay-off from AI
2) Current mixing of reasoning capabilities and stored facts in weights is inefficient & one might imagine separation
Read 11 tweets
John Horton Profile picture
Apr 18, 2024
I'll do a longer thread---and this little toy example just scratches the surface of what's possible---but edsl (pip install edsl) is an open source python package & domain specific language for asking LLMs questions
You can ask questions of various types (free text, multiple choice, numerical), combine them into surveys, add skip logic, parameterize w/ data (to create data labeling coding flows) & then administer to or model models. It abstracts away from the model-specific details
And let's you express the job you want to do in a declarative rather that procedural way e.g., I want to run this survey, with these scenarios, with these agents, with these models etc. rather than writing out all these loops yourself.
Read 7 tweets
John Horton Profile picture
Mar 2, 2024
New working paper by @BenSManning & @Kehang_Zhu that & I’m super excited about benjaminmanning.io/files/rs.pdf
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What we do, in a nutshell, is let the LLM propose hypotheses, design experiments, RUN those experiments insulation and then have it estimate the results Image
For example, here’s is the experiment it sets up for a hiring scenario Image
Read 9 tweets

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