Founder, CEO & CTO, MedAngle ([email protected])
Medical doctor, full stack engineer, designer, technologist and musician/producer.
Former founder Radcircle, Former design chief Songfari
Wow, that's a pretty massive decrease in latency, which should unlock some use cases, but the linked web page doesn't exactly make it straightforward to understand the differences between the models.
However, based off my personal experiences with general images models, Google in my opinion is the best for my workflows. Granted, I haven't tried far-east providers yet.
Pretty huge move. Google and their TPUs are looking infinitely more prescient as I think they are on their 7th generation, along with the offshoots it inspired like the LPU and even others, perhaps like Cerebras and their Wafer Scale Engine.
However, based off first impressions, it seems like this is meant for inference side, and not training, which is also an interesting choice.
I had to check the date after seeing the headline, and again after opening the page. Thought it was April Fools.
Regardless, as a doctor and full stack engineer, I'm looking forward to learning more about their methodologies, their approaches, but I don't think this is going to be displacing MRIs or remotely close, based off the cursory initial glance. If their vision is to be able to provide end users with more actionable data with some kind of "low fidelity" medical imaging data that is somewhere above zero and or standard imaging and high fidelity modalities like CT/MRI, then this could be somewhat interesting.
Not a radiologist and not medical advice. Just my two cents.
They've done multiple "evaluations" by third parties, but still, it seems that they aren't being fully transparent. I think the approach is quite interesting and novel, but this feels like deja vu.
I get why they aren't disclosing all the details, but it seems more hype-train-esque to me for this moment. I don't disagree that this could be big.
I've always wondered what that would be like. A fleet of 50 relatively modern flagship smartphones, wiped and retrofitted software wise to act as a homogeneous server, running ubuntu or centos or fedora, something like that.
Deals like these are quite rare, would be nice to know more about how the funding worked, but for customers, what are they doing? Total silence from Groq for a very long time now.
I'm working on MedAngle, the world's first Agentic AI Super App for premed, medical, and dental schools and recent graduates - young doctors.
MedAngle is literally everything one could need, personalized to their curriculum across 4-6 years of medical school. Quizzes, videos, notes, flashcards, reminders, scheduling, performance, search, and more.
Our Super App is comprised of MedGPT + MedAgent + Spaci (futuristic spaced repetition), which serve as layers over our massive collection of features such as the Smart Suite, Learning Library, Clinical Corner, Tested Tools and more.
100k+ users, 10s of billions of seconds spent studying smarter, invite only. Bootstrapped, growing nicely. I lead a team of top medical students and doctors.
I think perhaps contrary to popular belief, Mercury choosing Haskell and their early leadership having such a storied experience in it probably played some non-insignificant role in their success.
As a customer of Mercury, it's truly one of the critical companies my toolkit, and I just can't help but feel that their choosing of Haskell made their progress, development and overall journey that much better. I realize that you can make this argument with most languages, and it's not to say that a FP lang like Haskell is a recipe for success, but this intentional decision particularly pre "vibe coding" and the LLM era seems particularly prescient, of course combined with their engineering culture that was detailed in the post.
It seems to me that Apple is only going to be further increasing the number of price points and "levels" of caliber of devices, from budget/entry level all the way to new heights such as things like iPhone Ultra or Macbook Ultra, because services will be have an even wider net to cast into (If you're buying Ultra devices, you'll probably get AppleCare+, and if you have new apple devices such as the Neo or 17e etc, you'll be more likely to get Apple music or books or fitness or whatnot.
All in the MedAngle Super App - literally everything a future doctor needs in one place. 100k+ users, 150m+ questions solved, tens of billions of seconds spent studying smarter
I really can't believe they discontinued the Pro Display XDR.. what is wrong with them? A company the size of Apple, surely must have the resources to update it every couple of years.
The ruby::box thing looks pretty interesting, from a cursory glance you can run two simultaneous versions of something like a feature or rollout much more conveniently.
Also being able to do
if condition1
&& condition2
...
end
on multiple lines rather than one - this is pretty nifty too!