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jperryjperry
searching Neon…
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by
jperryjperry
5mo ago
created less than an hour ago, I'm convinced you're not a human
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jperryjperry
5mo ago
yeah that ceiling TV is all time haha
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jperryjperry
5mo ago
some are more psychedelic drug vibes and others are just insanely messy. I've had shitty and small apartments many times and that doesn't prevent me from cleaning it. especially if I'm going to rent it out
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jperryjperry
5mo ago
personally I find those experiences really funny especially in my life. looking back I think most people find humor in it, i could be wrong? I don't think so though
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jperryjperry
5mo ago
Fair feedback. Definitely more backlash than I expected. The intent was to experiment with large-scale analysis, not add noise or put strain on shared resources. I’ll be more thoughtful about this kind of thing going forward.
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jperryjperry
5mo ago
do you know the listing number? will remove that one haha
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jperryjperry
5mo ago
Totally fair callout. I should’ve been more careful here and leaned on the provided datasets / bulk access instead of pulling things at scale. That’s on me. I’ll make a donation to support the project regardless. Appreciate you raising
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jperryjperry
5mo ago
The pet detection part isn’t the point, that’s just a visible output. The actual goal was to stress test agents + distributed compute on something non-trivial.
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jperryjperry
5mo ago
One of the Burla founders here. Not a joint project with Airbnb. I’ve been experimenting with giving agents access to Burla clusters and letting them run with analysis ideas I find interesting. This was one of the results. The branding is a
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jperryjperry
5mo ago
from 2023
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jperryjperry
5mo ago
yeah now that I have the images I want to do some silly shit with it. maybe find the all Airbnbs with satanic decor or like red rooms haha
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jperryjperry
5mo ago
open source dataset from McAuley Lab at UCSD https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2... . I'm going to publish an Airbnb example tomorrow where I scraped 1,406,718 photo URLs from public
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jperryjperry
5mo ago
well well well... take a look at what I just built https://burla-cloud.github.io/airbnb-burla/
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Embedded 191,922 Met artworks to find hidden twins across 4k years
(jmp1062.github.io)
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jperryjperry
5mo ago
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2 comments
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jperryjperry
5mo ago
I fetched every Met Museum CC0 artwork with a published image, generated CLIP embeddings for all 191,922 of them, and searched for visually near-identical pairs separated by 2,000+ years. I used Cursor (Opus 4.7, max effort) to help build i