Maybe you notice an issue in your day-to-day, at work, or have an idea you want but don't have the time to do it yourself.
Please share! Cheers :)
I also have this fascination because I'd like to have my LLM exist like a 'pocket calculator' that's safe from any technical fiasco in the future...
But aside from this I'm wondering why others are into this as well.
To comprehend the latest paper, I frequently find it necessary to grasp the context provided by its citations. All pertinent papers collectively shape a Directed Acyclic Graph.
Is there a tool available that would enable me to organize papers in a DAG, allowing me to formulate a structured reading plan? Currently, my PDFs are scattered across different locations, and I essentially have to rely on memory to recall the dependencies between papers.
I also want to share my organized papers with the same research group.
e.g. for this DOI: 10.1016/j.biopsych.2005.08.012
here is our report page: https://scite.ai/reports/association-between-amygdala-hypera...
Metadata at the top, the list of citations below with relevant contexts from those citations about your paper of interest.
There's a visualization feature as well.
- Paper you are currently reading taking up 2/3rds of the screen (left side) - Right side of the screen is a graph of references from, and references to, the paper - You can click on any node in the tree (paper titles of references and referencees) and then that paper loads up on your left side reading pane?
(Bonus: maybe nodes in the tree can be sized relatively by how cited a paper is.)
Also, would using a single site like arxiv.org be sufficient? Maybe for some fields of research but not others? As a dev I'd want to identify a single main repository as a starting point.
Something that can locate files, excerpts, timelines and basic QA from just a point and shoot capacity would kill so many small-medium orgs. it's basically plugnplay search to bright engineers, scientists, technical staff, etc up to speed. add flexibility without having to "train" someone up. basically, bypass ever having to hire interns.
Not all that complicated junk out there, but just something simple - take photo or two, ask me to describe the thumbnail and text to put on top, that’s it.
Yet no product is out there that can produce at least mediocre result.
Which makes me think… isn’t this wave of hype is yet another scam?..
Anyone remembers the bitcoin 5 years ago?
It should do headings, pictures (as local files), and other kinds of formatting as well.
I want to convert handwritten notes to text - smoothly.
me too, I want this to be a real product
should it be a new device from a new player? or should it be from the big players (apple, google, etc), and on current devices (phones, comp, etc)?
First off, thank you for stating this explicitly. I get annoyed by the posts clearly fishing for ideas while acting like they have no specific motive for the questions. So I like your transparency!
Honestly, I have a desire for an AI digital art product that has nothing to do with LLMs, but would instead be akin to what "style transfer" work was heading towards a few years back, but never quite landed where I hoped... what I'd like to see is an AI that can look at multiple artistic works done by the user, and blend them together for new results, but all sourced on that user/artist's original works. Something that lets me say, "I love how the aesthetic of my painting turned out, but I wish the image depicted this photo I took." Style transfer, but personal styles only, and without the "deep mind" artifacts that filled that stuff back in the day.
I have no idea if people have kept working on those areas or not - I found references to various GANs in more recent years, but they all still seem to suffer from those "deep mind" artifacts that made the initial work interesting but ultimately unusable for creative pursuits.
Regarding yours, I think that's really cool but probably not within my purview :) Still appreciated though. Doing some basic research I played around with Dall E and Midjourney, but found them very hard to "guide" in such a way. Though I'm sure something more relevant and powerful is on the horizon.
The best would be a TTS system at the level of OpenAI's but with voice selection like GCP TTS so you can get quality and a range of voices.
Copyright would probably spike any monetization effort but you could try. It would be nice to have an open source tool for this though! :)
Of course, it remains to be seen if people would be convinced or look for their already stablished opinions, etc. Still, cynicism aside, I wonder how something that balances that toxicity using AI would look like. Maybe reducing news to plain facts, like news wire services?
You could train on the comments of major newspapers.