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I used o3 to profile myself from my saved Pocket links

noperator.dev

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Re: I used o3 to profile myself from my saved Pocket links

#151
post #31

Earlier quoted context omitted.

You should take this as a sign, and shoot for SWE jobs - given your interest. What you do at work today doesn't mean you can't switch to a related ladder.

Sometimes it’s nice for hobbies to remain hobbies

100%. I am absolutely certain that I do not have a viable career as a professional surfer ... no matter how much I wish it wasn't true.

Re: I used o3 to profile myself from my saved Pocket links

#152

Interesting article. Bizarrely it makes me wish I’d used Pocket more! Tangentially, with LLMs I’m getting very tired with the standard patter one sees in their responses. You’ll recognize the general format of chatty output: Platitude! Here’s a bunch of words that a normal human being would say followed by the main thrust of the response that two plus two is four. Here are some more words that plausibly sound human!…

How do you trust the recipe without context?

People say they want one thing but then their actions and money go to another.

I do agree there's unnecessary fluff. But "just give me the recipe" isn't really what people want. And I don't think your represent some outlier take because really have you ever gotten a recipe exactly as you outlined — zero context – and gave a damn to make it?

Re: I used o3 to profile myself from my saved Pocket links

#154
Actually, I am underwhelmed. I mean, a decade ago, with WAY simpler machine learning algorithms (no fancy deep learning, just shallow singular value decomposition and logistic regression, https://www.pnas.org/doi/10.1073/pnas.1218772110), it was possible to predict personality traits from just a few dozen of social media likes. A single like is (nomen omen) likely less valuable than a link saved (as links come from a wider and potentially more diverse data sets).

Does it mean that AI knows more about us that many of our friends? Yes.

Re: I used o3 to profile myself from my saved Pocket links

#155
post #54
post #41

I recently migrated to Linkwarden [0] from Pocket, and have been fairly happy with the decision. I haven't tried Wallabag, which is mentioned in the article. Linkwarden is open source and self-hostable. I wrote a python package [1] to ease the migration of Pocket exports to Linkwarden. [0] https://linkwarden.app/ [1] https://github.com/fmhall/pocket2linkwarden

Yet another subscription. $48 per year for bookmarks.. no thanks.

You can self-host it on your local machine though.

Re: I used o3 to profile myself from my saved Pocket links

#156

What's your Pocket replacement? Wallabag, Hoarder or something else?

I tried Wallabag and ended on Instapaper (again, I think I moved from IP -> Pocket originally). Just didn't get on with the UI / general experience of Wallabag, IP is more attuned to my polished style preferences I guess

Re: I used o3 to profile myself from my saved Pocket links

#157
post #152

Interesting article. Bizarrely it makes me wish I’d used Pocket more! Tangentially, with LLMs I’m getting very tired with the standard patter one sees in their responses. You’ll recognize the general format of chatty output: Platitude! Here’s a bunch of words that a normal human being would say followed by the main thrust of the response that two plus two is four. Here are some more words that plausibly sound human!…

How do you trust the recipe without context? People say they want one thing but then their actions and money go to another. I do agree there's unnecessary fluff. But "just give me the recipe" isn't really what people want. And I don't think your represent some outlier take because really have you ever gotten a recipe exactly as you outlined — zero context – and gave a damn to make it?

Yesterday I baked some muffins from an internet recipe that had a list of ingredients and four sentences on what to do. They're pretty nice.

Re: I used o3 to profile myself from my saved Pocket links

#158

After reading this I realized I also have an archive of my pocket account (4200 items), so tried the same prompt with o3, gemini 2.5 pro, and opus 4: - chatgpt UI didn't allow me to submit the input, saying it's too large. Although it was around 80k tokens, less than o3's 200k context size. - gemini 2.5 pro: worked fine for personality and interest related parts of the profile, but it failed the age range, job role,…

You should be able to use Google Takeout to get all of your YouTube data, including your watch history. This article is a nice example of someone using it: > When I downloaded all my YouTube data, I’ve noticed an interesting file included. That file was named watch-history and it contained a list of all the videos I’ve ever watched. https://blog.viktomas.com/posts/youtube-usage/ Of course as an European it's a legal…

It is available and it can be surprisingly large. I've somehow accumulated multiple GB of data from YT alone. Which feels a bit absurd - there's bound to be lots of waste there.

Re: I used o3 to profile myself from my saved Pocket links

#159
Recently vibe-coded a web-app that takes your listening history from Apple Music (sad to see Spotify API go) and recommends a variety of different media based on that. Was truly surprised by how OK those recommendations are, given an extremely limited input.

Re: I used o3 to profile myself from my saved Pocket links

#160

Interesting article. Bizarrely it makes me wish I’d used Pocket more! Tangentially, with LLMs I’m getting very tired with the standard patter one sees in their responses. You’ll recognize the general format of chatty output: Platitude! Here’s a bunch of words that a normal human being would say followed by the main thrust of the response that two plus two is four. Here are some more words that plausibly sound human!…

I just add "be concise" to the end. Works pretty well.

I'm no expert, but with the "thinking" models, I'd hope the "be concise" step happens at the end. So it can waffle all it wants to itself until it gives me the answer.

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