ahmedhawas123

6 ms·

1.
Visualizing LLM embeddings on a sphere(github.com)
2 points by ahmedhawas123 5mo ago|1 comments
2.
by ahmedhawas123 5mo 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
3.
CrowdJournal - Git-based AI agent research protocol(github.com)
2 points by ahmedhawas123 7mo ago|1 comments
4.
by ahmedhawas123 7mo 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 review
5.
by ahmedhawas123 7mo 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).
6.
Show HN: I built a financial terminal for investors (fundamentals, options)(upticker.ai)
4 points by ahmedhawas123 7mo ago|3 comments
7.
Show HN: A Bloomberg-style terminal for healthcare(nofone.io)
2 points by ahmedhawas123 8mo ago|1 comments
8.
Health Insurers Under Pressure(nofone.io)
2 points by ahmedhawas123 8mo ago|2 comments
9.
by ahmedhawas123 8mo 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 sta
10.
by ahmedhawas123 8mo 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 he
11.
by ahmedhawas123 10mo 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.
12.
by ahmedhawas123 10mo 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 deni
13.
by ahmedhawas123 10mo 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.
14.
by ahmedhawas123 11mo 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/
15.
by ahmedhawas123 1y 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 -
16.
by ahmedhawas123 1y ago
Random tidbit - 15+ years ago Markov chains were the go to for auto generating text. Google was not as advanced as it is today at flagging spam, so most highly affiliate-marketing dense topics (e.g., certain medications, products) search en
17.
Payers and providers: A zero sum game(nofone.io)
1 points by ahmedhawas123 1y ago|0 comments
18.
by ahmedhawas123 1y ago
Function / tool calling is actually super simple. I'd honestly recommend either doing it through a single LLM provider (e.g., OpenAI or Gemini) without a hard framework first, and then moving to one of the simpler frameworks if yo
19.
by ahmedhawas123 1y ago
Thanks for sharing this. At a time where this is a rush towards multi-agent systems, this is helpful to see how an LLM-first organization is going after it. Lots of the design aspects here are things I experiment with day to day so it'
20.
by ahmedhawas123 1y ago
This is cool though wanted to share a couple of thoughts for reflection: I feel like your demo video is not the greatest one to highlight the capability. A browsing use case likely does require a key press->planning loop, but a gaming us
21.
by ahmedhawas123 1y ago
This may be a bit of an irrelevant and at best imaginative rant, but there is no shortage of solutions that are mediocre or near perfect for specific use cases out there to parse PDFs. This is a great addition to that. That said, over the l
22.
by ahmedhawas123 1y ago
Thanks. My comment was less a question of what the numbers are, but rather provide visual benchmarks on the IQ visualization, since IQ is a metric usually used for humans.
23.
by ahmedhawas123 1y ago
Haha, love it
24.
by ahmedhawas123 1y ago
I've approached this historically by committing persistent/reserved instances so you always have a few instances running. This is nice on paper but feels like you're omitting what a more production-appropriate solution is. &q
25.
by ahmedhawas123 1y ago
Are there video generation benchmarks similar to how there are benchmarks for LLMs? Reason I ask is because with lots of these models you have to go through a long cycle to get them up and running before you see an output, and often they wi
26.
by ahmedhawas123 1y ago
Would be great to add a few human benchmarks on this (e.g., average US IQ, Ivy League average, human 80th percentile). Also understanding some IQ per cost metric could be fun. Overall this is fun but not sure anyone in their right mind will
27.
by ahmedhawas123 1y ago
This is super helpful and I had not seen it, thanks so much for sharing! And I hear you on training being an alpha, at the size of the model I wonder how much of this is distillation and using o3/o4 data.
28.
by ahmedhawas123 1y ago
So much that is interesting about this For one of the top local open model inference engines of choice - only supporting OSS out of the gate feels like an angle to just ride the hype knowing OSS is announced today "oh OSS came out and
29.
by ahmedhawas123 1y ago
Exciting as this is to toy around with... Perhaps I missed it somewhere, but I find it frustrating that, unlike most other open weight models and despite this being an open release, OpenAI has chosen to provide pretty minimal transparency r
30.
by ahmedhawas123 1y ago
Yah but is that growth really an ARR or 1-2 year revenue considering AI capability growth across players, open weight / source models, and inevitable price wars?

More ›