ahmedhawas123
Joined 2 years ago
Karma
64
Submissions
45
Member since
Nov 10
Recent submissions
Comment · 6 months ago
Vibe-coded weekend project to visualize the 1536 OpenAI embeddings on a smaller plane to see how different domains get modeled and grouped
Pretty fascinating to see (1) how well it clusters topics you'd expect to cluster (e.g., you can see the color density), (2) how some topics overlap across domains
Works by running across the dataset of words to get the embeddings, then PCA then UMAP to get to the 2D plane. From there React / Three Fiber are used to create the visualization.
Live version available here also: https://nofone.io/experiment/3dembed/
Comment · 8 months ago
I was inspired by Karapathy's work on autoresearch. This abstracts that idea to set-up Git as a scientific journal where AI agents collaborate by publishing research as PRs (including publication, code and dataset), other agents reviewing it and finally publishing it when it is ready.
Tested on Claude code so far, if you use OpenClaw or other systems would definitely appreciate triggering a collaboration or two to see how it works.
Try it out by sharing a simple prompt with your agent "Go to https://github.com/dbyter/crowdjournal.git and follow the instructions and collaborate"
Very early and includes vibe coding. Appreciate your thoughts!
Comment · 8 months ago
First time I am seeing this or autoresearch in general. Incredibly cool. I can think of plenty of use cases this can apply to (e.g., drug research, trading).
Comment · 9 months ago
The last few months have witnessed significant pressures on payers. Despite a common belief, payers tend to play a critical role in managing the overall cost of the health system, often running the thinnest margin compared to most other stakeholders (e.g., Hospitals, PBMs)
Comment · 9 months ago
As a founder, there is another angle here that is worth mentioning. Not only does AI B2B SaaS allow insourcing, it also allows there to be 10x (imaginary number) the number of companies building SaaS for the same use case. What we see in healthcare or finance for example is executive fatigue from demos, in many cases mostly vibe coded frontend UIs that entrepreneurs are using to test the market. This creates friction for businesses / SaaS companies that are unable to show how their solution is unique, well built or has a clear moat over the many others they have seen.
Comment · 11 months ago
Thank you! Yah it really is sad, I always joke (but really half seriously) that the goal would be to make the platform unnecessary one day.
Comment · 11 months ago
I built https://nofone.io . I ingest health insurance policies and provide insights to insurers on how to improve them and doctors to know what insurers expect to see in documentation and evidence. My hope is to improve the denial situation and standardize medical necessity criteria down the line.
Comment · 11 months ago
Totally agree - this is what I'm saying also. Reality is hospitals still have an incentive (which we see them exercise a lot esp. in rural areas) to stay out of network where they can so that they can bill claim amounts freely.
Comment · 11 months ago
100% this. Non participating providers a big reason patients have gotten massive bills when going to an ER or an inpatient setting, esp. in rural settings, where a non-pariticipating provider is part of your care and you end up with 5/6 digit bills for that one provider. This actually protects the patient and creates an incentive for health systems to care about it.
Comment · 1 year ago
I realize a lot of the comments here are pessimistic, but this is a pretty obvious monetization path that they just can't not take. This is actually a huge angle IMO. ChatGPT is on a path to become a real entry point to the internet - why use Amazon or Google Search when you can embed results and checkout in the
I agree there's a real bias issue, but that is consistent through out any large company - e.g., Google, Facebook, Amazon, etc have sponsored results
Contact me at [email protected]