john_horton

6 ms·

1.
Disarming the Slop Cannon (Ironically, with AI)(blog.expectedparrot.com)
2 points by john_horton 4h ago|1 comments
2.
Beyond Demo Day: Sorting and Value Added in Startup Accelerators(nber.org)
1 points by john_horton 5mo ago|0 comments
3.
Add, delete and move data points to create a particular regression line(line-fitter--johnhorton.replit.app)
1 points by john_horton 9mo ago|1 comments
4.
The Coasean Singularity? Demand, Supply, and Market Design with AI Agents(nber.org)
2 points by john_horton 10mo ago|0 comments
5.
Superrational Reasoning in the Prisoner's Dilemma with LLMs(expectedparrot.com)
2 points by john_horton 11mo ago|0 comments
6.
A Poor Man's User Study with a Vision Model and E[P](twitter.com)
1 points by john_horton 1y ago|0 comments
7.
A little bit of human-provided structure gives better LLM answers(blog.expectedparrot.com)
1 points by john_horton 1y ago|0 comments
8.
Using vision capable LLMs to transcribe a handwritten letter(expectedparrot.com)
2 points by john_horton 2y ago|0 comments
9.
by john_horton 2y ago
This might be of interest: https://www.expectedparrot.com/content/johnjhorton/grant-let... It uses a collection of models to extract the text from a handwritten letter by US Grant. Probably overkill for something
10.
Little's Law(en.wikipedia.org)
3 points by john_horton 2y ago|0 comments
11.
LaTeX writing checker in Python using LLMs(expectedparrot.com)
2 points by john_horton 2y ago|0 comments
12.
by john_horton 2y ago
Hey thanks for noticing - here's the MIT licensed library it's based on: https://github.com/expectedparrot/edsl
13.
by john_horton 2y ago
thanks! B/c it got some positive reaction here, I did a little thread on how you can turn this flow into an API: https://x.com/johnjhorton/status/1823672992624242895
14.
by john_horton 2y ago
Very cool - I've been working on an open source python package that lets you do some similar things ( https://github.com/expectedparrot/edsl ). Here's an example of the Enron email demo using the edsl syntax&#x
15.
by john_horton 2y ago
Link to the package: https://github.com/expectedparrot/edsl
16.
Python package for administering surveys to LLMs(twitter.com)
1 points by john_horton 2y ago|1 comments
17.
Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires(twitter.com)
2 points by john_horton 4y ago|0 comments
18.
by john_horton 4y ago
Got it - so it is the "performativity critique" - the idea that the LLM "knows" economic theories and responds in accordance with those theories. I don't think that's very likely because a) econ writing is pres
19.
by john_horton 4y ago
I'm sorry I don't follow - is your claim, that, say, an AI agent exhibiting status quo bias in responding to decision scenarios (e.g., a preference for options posed as the status quo relative to a neutral framing - Figure 3) that
20.
by john_horton 4y ago
Are you referring to this: "What kinds of experiments are likely to work well? Given current capabilities, games with complex instructions are not presently likely to work well, but with more advanced LLMs on the horizon, this is likel
21.
by john_horton 4y ago
It is so implausible that the training process that creates LLMs might learn features of human behavior that could then be uncovered via experimentation? I showed, empirically, that one can replicate several findings in behavioral economics
22.
by john_horton 4y ago
that's a great suggestion - thanks!
23.
by john_horton 4y ago
yeah - so I think this is worth exploring. Given how many tokens you can jam in the prompt even w/ GPT3, I think could do some pretty complex game play, at least compared to what is typical in the lab e.g., I think could easily have it
24.
by john_horton 4y ago
oh hey - it's my paper! If anyone is interested in exploring these ideas, feel free to get in touch (@johnjhorton, https://www.john-joseph-horton.com/ ). FWIW - I think it would be really neat to build a Python library
25.
The Production and Consumption of Social Media(arxiv.org)
1 points by john_horton 5y ago|0 comments
26.
by john_horton 7y ago
I'm one of the authors of the original paper the article is based on. Here's a link to the actual research: https://www.john-joseph-horton.com/papers/schumpeter.pdf
27.
by john_horton 9y ago
Yeah - I think this is just inherent in the transmission of academic work to a broader audience. Nuance and caveats get stripped away, in part because the journalists themselves aren't capable of assessing these features.
28.
by john_horton 9y ago
It wasn't dishonest - they didn't have the data for those multi-site employers b/c of how Washington state keeps records. The authors are upfront about this and try to address the limitation by adding a a survey component---t
29.
AI, Labor, and the Parable of the Horse(john-joseph-horton.com)
1 points by john_horton 9y ago|0 comments
30.
How much should Mechanical Turk cost (if you're Amazon)?(john-joseph-horton.com)
1 points by john_horton 11y ago|0 comments

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