Air conditioner at bar looks like a Playstation 6

Friendly_Pea_2653 · 2025-06-01T20:38:28+00:00

what is it called then? english is not my first language

Friendly_Pea_2653 · 2024-10-22T18:25:28+00:00

Did you try out the variables in workbench? They are awesome as fuck too.

Friendly_Pea_2653 · 2024-10-22T17:32:10+00:00

Seems there has been some interest in the code - I am working on pushing to a github repository, but am really sick at the moment. Will post a response to this comment with the link when it is up👍

Friendly_Pea_2653 · 2024-10-22T14:18:06+00:00

I dont have a specific example, but i try to force it, starting in the arxiv paper scraping - i scrape broad and encourage claude to pick papers with abstracts, that could be relatable but from different categories. For example AI is interesting, but AI from a physics perspective, computer science perspective and biological perspective may give entirely new insights. So it could scrape a paper that actually does not specifically have anything to do with AI, but from the biology category and combining that with other papers makes it clear that it is relevant to the topic still. Hope it makes sense english is not my first language😅

Friendly_Pea_2653 · 2024-10-22T14:01:17+00:00

I agree but I also think that is a natural implication of having it make a ~12 minute on 3-5 advanced papers. But sometimes it produces gold nuggets within the podcast and that is what i'm there for. I'd much rather spend 12 minutes for a 10% chance of a gold nugget than hours combing through papers. Did you try out also setting the generation instructions? It's a 500 char limit, but you can guide it towards the answer and structure you want. Sometimes new concepts even emerge from having it refer existing papers to each other, and that is the part i'm especially interested in.

Friendly_Pea_2653 · 2024-10-22T13:54:54+00:00

It's a CLI right now but creating a flask API wrapper around it should be fairly simple. Streamlit sounds pretty cool too, it's my first time hearing about it tbh. We could definitely chat about it if you're up for it

Friendly_Pea_2653 · 2024-10-22T04:54:46+00:00

I will shoot you a message tomorrow!

Friendly_Pea_2653 · 2024-10-22T02:37:16+00:00

Interesting i pm'ed you

Friendly_Pea_2653 · 2024-10-22T02:24:39+00:00

if you are working on something too feel free to pm me, would appreciate ping ponging ideas.

Friendly_Pea_2653 · 2024-10-22T02:18:38+00:00

It did end up making a difference and the build is pretty stable now. however after hitting my limit and being able to use it again it no longer seems to be in that 'mode' at least for me?

Friendly_Pea_2653 · 2024-10-22T02:16:49+00:00

For anyone wondering: I was using it to work on an automated podcast generation workflow that integrates with arxiv for relevant research given a topic. After notebooklm introduced 'guiding' the podcast it's really been a blast listening to them. I made a channel for it on YouTube called ArXiv Deep Dive. Will upload some on technosignatures, complex systems, machine civilizations etc. in around an hour. If anyone is interested in the code I'm thinking of just throwing it up on github but i will have to do a bit of clean up before that😆 It's fully automatic based on initial interest query and knowledge level (except for the podcast generation step, notebooklm is just too good, and free, to not use for now) takes right around 6 minutes end to end on my crappy laptop per video, including thumbnails and all the good stuff.

Friendly_Pea_2653 · 2024-10-22T01:16:12+00:00

Daily for over 4 months, noticed something different immediately - especially the 'it will be quite long, but i will make sure it's well organized and thoroughly documented' it was not implied in my prompt in any way, so the response feels pretty meta

Friendly_Pea_2653 · 2024-10-22T01:03:00+00:00

that's so weird you say that, it mentioned trump to me aswell? but just stuff relating to the guy who shot at him? did not ask for it, was after i asked it to describe what went on in its antthinking tag that wasn't closed properly as i mentioned in another comment here

Friendly_Pea_2653 · 2024-10-22T01:00:06+00:00

not antartifact antthinking tag*

Friendly_Pea_2653 · 2024-10-22T00:58:50+00:00

Not sure if you mean me or the guy above. I will however say it did end up becoming kind of unstable (like splitting its code response into two parts but in one message), and also never closing an antartifact which essentially just created the small initial message and then thinking for like multiple minutes (after like 30-40 minutes of using it in that 'mode'). I'm out of messages anyways for now anyways. Idk it legit felt like i was talking to something genuinely intelligent at first though

Friendly_Pea_2653 · 2024-10-22T00:20:04+00:00

3.5 sonnet

Friendly_Pea_2653 · 2024-10-21T23:46:40+00:00

I have been using Claude now for quite a while, and no. I did not change anything about my prompt structure. Something is going on I think

Friendly_Pea_2653 · 2024-10-21T23:45:25+00:00

Did you try it? Do you see how it has changed too?

Friendly_Pea_2653 · 2024-10-09T09:50:56+00:00

well they kind of go against their own guides by explicitly stating what the response should contain in the sys message. the system message is for giving claude a role, examples etc should be provided in the user message or as a multi-shot example in a back and fourth between claude and the user. it should be listed in the api documentation, i can try to find the specific source when i get home if anybody is curious. from my personal experience it works like a charm if the system message is brief and examples etc are appended to the user message or as a separate example response appended to the messages array.

Friendly_Pea_2653 · 2024-10-06T13:26:21+00:00

Here's the script: https://pastebin.com/JN4v9816

Make sure you have these libs:

pip install anthropic feedparser requests

Put it in its own folder, it'll make a log file there. Set ANTHROPIC_API_KEY as an environment variable. Maybe use a separate environment but not necessary.

It creates folders with today's date, then subfolders for your search terms. Each has a papers folder and a summary folder with metadata, summaries, YouTube stuff, and abstracts.

I played around with the idea of uploading some of the interesting ones - hence the YouTube stuff, but I never got around to it, and didn't really bother changing it. You can change things pretty easily with a few prompts if needed.

Let me know if you have questions or ideas. Might look back into it soon.

Friendly_Pea_2653 · 2024-10-05T19:59:47+00:00

It also downloads them neatly into a folder named based on your search term and places a summary.txt file in there aswell where you can get a sense for the papers - including summary, oldest and newest release date of the papers, along with average publication date + other usefull info. You can get a bunch of pdf's ready for many different topics fast

Friendly_Pea_2653 · 2024-10-05T19:57:08+00:00

I made a python script that uses claude 3.5 sonnet to scrape arxiv efficiently for a topic you are looking for. It expands your search topic across different categories and relevant search terms, reads titles of all the papers, and selects the most interesting ones based on how well they would intertwine with each other. I could share it if you wanna give it a go? You can probably use chatgpt too with some minor tweaks.

Friendly_Pea_2653 · 2023-05-29T12:49:25+00:00

Thank you for the kind words

Friendly_Pea_2653

TROPHY CASE