cyclecycle

6 ms·

1.
by cyclecycle 4mo ago
So far we basically just provide a very rule-based approach and try not use LLMs as much as possible. So we extract and parse the citations using various ML and rule-based approaches, and carry out a bunch of predetermined queries and do va
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by cyclecycle 4mo ago
This has become such a problem in scholarly publishing that we have a business that provides citation checking https://groundedai.company/ that we've been buidling for a couple of years now
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by cyclecycle 6mo ago
Great to see this picked up. Nick Morley from Grounded AI here ( https://groundedai.company ) We ran the analysis in collaboration with Nature :)
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by cyclecycle 6mo ago
Nick Morley from Grounded AI here ( https://groundedai.company ) We collaborated with Nature here to study the extent of fake/frankenstein citations in scholarly literature (from top 5 publishers - Springer, Elsevier, Wiley,
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110k+ publications from 2025 might include hallucinated citations(nature.com)
6 points by cyclecycle 6mo ago|3 comments
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Show HN: Large scale hallucinated citation problem in published literature(nature.com)
2 points by cyclecycle 6mo ago|0 comments
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by cyclecycle 6mo ago
yeah this makes sense. we run a citation verification service and provide publishers with data of hey this citation could be fake etc. but we don't currently capture any "action" or "measured result" so i guess that
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Figuring out what to build in a world of agents(nickmorley.org)
2 points by cyclecycle 6mo ago|2 comments
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by cyclecycle 6mo ago
Trying to think about our best chance of making a lasting contribution (therefore actually surviving?) as a startup. I'm a big fan of focusing on verification tools ("Verification is all you need"?) but who knows. I'm su
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by cyclecycle 1y ago
A classic case. I work on Veracity https://groundedai.company/veracity/ which does citation checking for academic publishers. I see stuff like this all the time in paper submissions. Publishers are inundated
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Ask HN: What email client are you truly happy with in 2024?
1 points by cyclecycle 2y ago|8 comments
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Ask HN: Best approach for modernizing a legacy VB desktop app?
1 points by cyclecycle 2y ago|2 comments
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by cyclecycle 2y ago
That's basically what we're doing with app.studyrecon.ai. What we've found is that vector similarity is often not the final solution. It is still only a crude proxy for the true goal of 'informativeness' or 'us
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by cyclecycle 4y ago
Here's my attempt at a simple explanation of transformers. I would love feedback on whether I've got it right and how I could improve it. Cheers
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The Future of Work in an AI-Powered World(nickmorley.org)
1 points by cyclecycle 4y ago|1 comments
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by cyclecycle 4y ago
Some personal reflections on the direction of my work.
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by cyclecycle 4y ago
We're working on this at Grounded AI ( https://www.groundedai.company/contact-us ). We'd love to help you if we can. Feel free to contact me (email is on my profile page)
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by cyclecycle 4y ago
I agree, it's currently very superficial. It would be great to recognise and show more about the specific nature of the relationships. What kind of thing would you hope to see here? A textual summary of the relationship? Or perhaps the
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by cyclecycle 4y ago
One of the creators here. The keywords are grouped such that keywords that occur together often are in the same group. The colour represents this grouping. There may be more useful groupings we could give or allow the user to choose between
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Ask HN: What is the number one thing you wish would happen in your life time?
2 points by cyclecycle 7y ago|4 comments
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Ask HN: Should I be on Twitter?
13 points by cyclecycle 8y ago|7 comments
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by cyclecycle 8y ago
Really like the idea of trying to improve things that are so widely adopted and entrenched that most (me, at least) don't think to change. We face the problem that people differ in what they think the features should be though. Ideally
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by cyclecycle 8y ago
I think its clear enough as is, and that the readme benefits from its current simplicity. Though for interest's sake this wouldn't hurt.
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by cyclecycle 8y ago
Nice work. I'd be interested to know how your customers are finding you. Have you invested much time into customer acquisition?
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by cyclecycle 8y ago
There are philosophical differences and practical differences. They are trying to build an AI scientist ground-up (love it). I would like to optimise for front-line use cases in a lean, user-driven manner. The common denominator technologic
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Biomedical knowledge graph-backed service: seeking collaborators
1 points by cyclecycle 8y ago|2 comments