tootyskooty

4 ms·

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by tootyskooty 5mo ago
I'm working on Repple ( https://repple.sh )! It's a modern spaced repetition x incremental reading/PDF library app with a few (tasteful!) QOL AI features. I've been using Anki for 10+ years and love it but alwa
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by tootyskooty 6mo ago
I'm building Repple ( https://repple.sh ), a free flashcard app with spaced repetition scheduling and some (tasteful imo) AI additions. I've been using Anki for 10+ years and love it but always wanted something with a cl
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Show HN: Spaced repetition API – decks, cards, reviews, scheduling(repple.sh)
1 points by tootyskooty 7mo ago|0 comments
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GPT 5.2 helps solve Erdős problem #728(erdosproblems.com)
4 points by tootyskooty 9mo ago|0 comments
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Show HN: I built a tool to learn from LLMs through Wiki-style rabbit holes(periplus.app)
2 points by tootyskooty 9mo ago|0 comments
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by tootyskooty 9mo ago
I'm wondering about this too. Would be nice to see an ablation here, or at least see some analysis on the reasoning traces. It definitely doesn't wipe its internal knowledge of Crystal clean (that's not how LLMs work). My gue
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by tootyskooty 9mo ago
See pretraining section of the prerelease_notes.md: https://github.com/DGoettlich/history-llms/blob/main/ranke-4...
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by tootyskooty 9mo ago
Since it now includes 4 thinking levels (minimal-high) I'd really appreciate if we got some benchmarks across the whole sweep (and not just what's presumably high). Flash is meant to be a model for lower cost, latency-sensitive ta
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by tootyskooty 9mo ago
both have had questionable content for a while, it's a wonder people are still paying for them. especially given that LLMs exist (and youtube for that matter).
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by tootyskooty 10mo ago
Since no one has mentioned it yet: note that the benchmarks for large are for the base model, not for the instruct model available in the API. Most likely reason is that the instruct model underperforms compared to the open competition (eve
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by tootyskooty 10mo ago
Shameless plug: if OP is looking to stay on d3, he could also try slotting in my C++/WASM versions[1] of the main d3 many-body forces. Not the best, but I've found >3x speedup using these for periplus.app :) [^1]: https:/
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by tootyskooty 1y ago
Working on a new interface for learning with LLMs that creates courses on any topic. https://periplus.app The goal was to make the learning material very malleable, so all content can be viewed through different "lenses&quo
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by tootyskooty 1y ago
I've been getting a lot of vulnerability "spam mail" recently that's clearly AI-generated. It's a surprise every public bounty program isn't completely buried in automatic reports by now, but it likely won&#x27
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by tootyskooty 1y ago
would be nice to finally see multi-turn coding benchmarks. everything we have so far is single-turn and that's clearly not a realistic scenario.
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by tootyskooty 1y ago
Hey, sorry for seeing this late! You can send me a message on discord (dcbcdefb), or email (support (at) periplus dot app). Also available on Twitter!
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by tootyskooty 1y ago
I suspect one can go a lot further by adopting some tweaks from the GPT-2 speedrun effort [0], at minimum Muon, better init and carefully tuning learning rate. [0]: https://github.com/KellerJordan/modded-nanogpt
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by tootyskooty 1y ago
Thanks a lot! I did do some of these things (namely Reddit) and that worked well, just the number of places that allow posting is limited and I don't want to get too spammy. Will continue there. Main conceptual issue I've been hav
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by tootyskooty 1y ago
I have no idea how to market this honestly. Most of my users came from a single discord server, but the feedback is overall pretty positive. If you have any tips I'd be super grateful (gave you a follow on X).
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by tootyskooty 1y ago
Just added a proper playback control component on desktop, allows changing rate, rewinding & persists across pages :)!
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by tootyskooty 1y ago
Yeah it's still hard to deal with LLM gaps (fwiw Study mode would also be prone to this). I do try to catch the super obvious stuff and put up a disclaimer but it's far from perfect. I had some prototypes basing the generations in
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by tootyskooty 1y ago
Glad you like it!! I've been working on it on-and-off for about a year now. Roughly 2-3 months if I worked on it full-time I'm guessing. re: playback speed -> noted, will add some controls tomorrow
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by tootyskooty 1y ago
There are both in-document quizzes and larger exams (at a course level). I've also been playing around with adapting content based on their results (e.g. proactively nudging complexity up/down) but haven't gotten it to a good
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by tootyskooty 1y ago
I gave it a shot with periplus.app :). Not perfect by any means, but it's a different UX than chat so you might find it interesting.
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by tootyskooty 1y ago
Honestly thought they would take this a bit further, there is only so much you can do with a prompt and chat. It seems fine for surface level bite-sized learning, but I can't see it work that well for covering whole topics end to end.
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by tootyskooty 1y ago
Still working on https://periplus.app ! It's an environment for open-ended learning with LLMs. Something like a personalized, generative Wikipedia. Has generated courses, documents, exams, flashcards, maps and more! Each doc
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by tootyskooty 1y ago
No, you don't need to try to keep up with new tools. I would recommend you try the models though, even for a short time every few months. Send them questions or things you're working on, and see how they do. Provide sufficient con
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by tootyskooty 1y ago
Before LLMs (not hard-set order): IDE/interface -> Stack Overflow -> Docs -> Library code -> Github LLMs now slot in first or second, typically completely eliminating SO. Others still provide value.
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by tootyskooty 1y ago
One underdiscussed advantage is that an LLM makes knowledge language agnostic. While less obvious to people that primarily consume en.wiki (as most things are well covered in English), for many other languages even well-understood concepts
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by tootyskooty 1y ago
Google will also have good results to report for this year's IMO, OpenAI just beat them to the announcement
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by tootyskooty 1y ago
The conclusion is that research takes time to productize, and this is cutting-edge research. OAI employees stated that there isn't anything math-specific (think AlphaGeometry) about this model. It's a general system.

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