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YC’s founder-matching service helped medical records AI startup Hona

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Re: YC’s founder-matching service helped medical records AI startup Hona

#21

Earlier quoted context omitted.

I recently received a 2 page written report of an MRI. I couldn’t understand a single word of it. While waiting a few weeks for my appointment at the next specialist I used ChatGPT to explain it and I found it to be very helpful in understanding what was going on. I felt it did a better job in explaining in lay terms than the specialist doctors did (radiologists, orthopedic surgeons, rheumatologists).

How do you know ChatGPT explained it to you correctly? How do you know it didn't give you a wrong explanation that sounds plausible to a lay person?

There are at least two distinct workloads for ChatGPT: 1) No context, general knowledge workloads, 2) Contextual workloads using either RAG or direct input of context.

In general, GPT will not hallucinate or give bad responses on the latter since it's working from a specific corpus of information (whether from RAG or from some context directly provided by the user). This is, of course, not foolproof since some of it is dependent on a good prompt and some of it is dependent on the question (GPT is well known to be poor at math, for example). But for summarization, it is exceedingly good.

The former is where it can tend to hallucinate and generate bad responses.

Re: YC’s founder-matching service helped medical records AI startup Hona

#22
This actually does shift my view on founder-matching a little, in the positive direction.

I wonder if it's best to march into it like someone in a new city starting to date. I would guess that it's mostly a numbers game: apply to a lot of people you'd be compatible with, wait for their responses to winnow it down, then get serious about the handful that are left.

Re: YC’s founder-matching service helped medical records AI startup Hona

#23
post #6

Given my experience with LLMs I am skeptical that enough prompt engineering and tuning can adequately summarize patient records. I don't expect an LLM to adequately interpret data in a way that is useful to me. While much is missed on skimming records, an AI summary sounds like a false sense of security.

I’ve likewise investigated this space, or an adjacent problem. TLDR: you can get good results with very high probability.

However, medicine and law are not areas where “probably” even at a 95% level is going to cut it. You need 100%.

(Sure a person makes mistakes as well, but we understand that and have systems in place to catch and correct. Whereas people are just tossing out LLM chatbots that are basically black box).

It’s very similar to self driving cars, getting to 95% isn’t too hard now, but that last 5% to not accidentally kill a few people here and there is WAY WAY WAY harder.

Re: YC’s founder-matching service helped medical records AI startup Hona

#24
post #4

Earlier quoted context omitted.

I have to partly disagree with him there. My schools included MIT and Brown. And I generally really liked the students at both. And I would hire many of them. But I've also hung out in other circles that attract smart people, where I'd selectively hire first, before prioritizing random people from the fancy-pants schools. And I've worked too many places where some of the smartest and most accomplished people came fro…

So I think the statement is more like statistically in good universities you're more likely to meet other great engineers and cofounders. It of course doesn't mean all students from good universities are better from scrappy people community college. When it comes to reality, I'm a startup founder and how would I screen people? If someone went to Stanford it's a strong good signal. If another guy went to community col…

> When it comes to reality, [...] If someone went to Stanford it's a strong good signal.

I just said why I don't think it's currently a good signal, in reality.

Unless the reality is last-decade VC-growth startups, where the priority was appearances, from top to bottom.

Re: YC’s founder-matching service helped medical records AI startup Hona

#25
Hey this worked for me this month actually.

I looked through about 800 profiles and did end up finding a co-founder after a couple of months.

800 profiles, 10 matches, 5 zoom calls, 1 accept.

I created a compelling and clear profile and my approach was to be as open an honest as possible about what I'm looking for. As the technical founder I offered 50/50 split as advised by YC.

I stand by my choice and I know that I trust my co-founder 100% and I'm looking forward to the earth shattering product we will launch together in August.

Re: YC’s founder-matching service helped medical records AI startup Hona

#26
post #5

So far about 30 startups were founded over the matching service out of how many who got into a batch over the years? We’re talking probably about less than one percent. The service puts also a prominent emphasis on formal credentials like which university you graduated from. Your idea doesn’t matter at all, it’s just personality and some credentials.

> Your idea doesn’t matter at all, it’s just personality and some credentials. One of YC's overriding beliefs is that yes, your idea doesn't matter at all.

to be fair, they consider traction over all other credentials

Re: YC’s founder-matching service helped medical records AI startup Hona

#27
post #4

Earlier quoted context omitted.

I have to partly disagree with him there. My schools included MIT and Brown. And I generally really liked the students at both. And I would hire many of them. But I've also hung out in other circles that attract smart people, where I'd selectively hire first, before prioritizing random people from the fancy-pants schools. And I've worked too many places where some of the smartest and most accomplished people came fro…

You sound like the kind of person I'd actually want to start a business with. Maybe cofounder matching should be a HN feature instead of a tinder clone.

[flagged]

Re: YC’s founder-matching service helped medical records AI startup Hona

#28
post #4

Earlier quoted context omitted.

I have to partly disagree with him there. My schools included MIT and Brown. And I generally really liked the students at both. And I would hire many of them. But I've also hung out in other circles that attract smart people, where I'd selectively hire first, before prioritizing random people from the fancy-pants schools. And I've worked too many places where some of the smartest and most accomplished people came fro…

Notably, you didn't attend MIT or Brown for undergrad, just terminal master's degrees. The selection process for undergraduates at those schools is about 100x more rigorous than that for MS programs.

Why notably? I don't think we're communicating well, if that's what you latched onto. Are you suggesting I didn't also interact with undergrads when I said I liked the students there, or is this borderline ad hominem?

Perhaps the meta-relevance is that some people fixate on the prestige and exclusivity of these things, and fight aggressively to acquire that for themselves, and to preserve that status. And some other people help perpetuate superiority myths, including in hiring.

Re: YC’s founder-matching service helped medical records AI startup Hona

#29
post #4

Earlier quoted context omitted.

I have to partly disagree with him there. My schools included MIT and Brown. And I generally really liked the students at both. And I would hire many of them. But I've also hung out in other circles that attract smart people, where I'd selectively hire first, before prioritizing random people from the fancy-pants schools. And I've worked too many places where some of the smartest and most accomplished people came fro…

So I think the statement is more like statistically in good universities you're more likely to meet other great engineers and cofounders. It of course doesn't mean all students from good universities are better from scrappy people community college. When it comes to reality, I'm a startup founder and how would I screen people? If someone went to Stanford it's a strong good signal. If another guy went to community col…

[deleted]

Re: YC’s founder-matching service helped medical records AI startup Hona

#30
post #11

Earlier quoted context omitted.

Wow super insightful comment. Particularly this excerpt: > If you want "How to Start Google [where everyone focuses on the entrance exam, and then on gaming their promotions]" then you absolutely should hire Stanford students, who had to exercise very similar thinking to get into Stanford at this point. I realize that this applies to Google post-2015, but do you think it also applies to early Google? Where you actual…

First few employees at Google? Stanford yes because that's where they got the business/investment connections. Clearly, because L&S both came from that background as did family, and the whole Susan W's garage thing, etc. etc. After that? Actually building the thing? Not really? Jeff Dean: University of Minnesota, B.S. Computer Science and Engineering (1990) University of Washington, Ph.D. Computer Science (1996) Tho…

> It all seems like "X but for Y" Web2.0ish companies.

This has been somewhat frustrating for me to see. I'm curious what you think actual moonshot companies look like? Are we talking novel medical tech? Advancements in aerospace? I'm specifically ignoring AI, though a few companies in that sphere will be moonshots.

What does the future look like to you?

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