Live data from Hacker News

Lessons from YC AI Startups

ignorance.ai

21–30 of 98 posts

Re: Lessons from YC AI Startups

#21

Something I've noticed going through founder's LinkedIn pages is that it seems that entrepreneurs seem to be significantly more attractive than the average person. I assume a partial causative factor could be that the number of positive impressions you make on people with influence correlates with success of your startup, and one's capacity to make positive interpersonal impressions correlates with physical attractiv…

[deleted]

Re: Lessons from YC AI Startups

#22

Anyone know what the Energy, Materials Science, and Security ones were? All other categories I can generally intuit how AI is being used, especially LLMs, but not so those three categories. Edit: here they are: Energy: - https://www.ycombinator.com/companies/elyos-energy - https://www.ycombinator.com/companies/line-build - https://www.ycombinator.com/companies/helios-climate-industr... - https://www.ycombinator.com/c…

I am in computational chemistry which has some crossover with Materials Science. AI is useful for speeding up simulations, doing molecular interaction predictions, doing property predictions, doing molecular docking. LLMs are helpful as research assistants and helping design and run experiments. https://atomictessellator.com/

For example, my latest module (I am putting the finishing touches on this as we speak) uses LLMs to review catalysis literature and then summarize that and control another coding LLM that has been trained to run the simulation tools I created to try and reproduce the works in the papers. Yes, it works, the first catalyst discoveries were made just a few days ago.

Re: Lessons from YC AI Startups

#23
post #4

Something I've noticed going through founder's LinkedIn pages is that it seems that entrepreneurs seem to be significantly more attractive than the average person. I assume a partial causative factor could be that the number of positive impressions you make on people with influence correlates with success of your startup, and one's capacity to make positive interpersonal impressions correlates with physical attractiv…

Or they pay for professional headshots for their LinkedIn page?

I did this. I went to a photographer who specializes in it. He booked a makeup artist, a hair person, and they took a few dozen shots at a couple different locations and with different outfits. The whole thing was half a day and like $500.

I look way better in my professional headshots than in reality (I'm also 10 years younger!).

So this tracks for my N of 1.

Re: Lessons from YC AI Startups

#26

Are there any examples if successful exits or AI companies making it into the black yet? In general, not just YC

Why is this being down voted? It's not meant as a negative question, but honest curiosity.

It's been on my mind since watching a vintage episode of "Computer Chronicles" recently on the coming AI boom, in the 80s. I'm not aware of any of those companies being still around, so I could not help but wonder what's different now.

Here is the episode:

https://youtu.be/_S3m0V_ZF_Q?si=2XrE4nnw1hB4X1xy

Real talk, to he fair, I've helped architect, design and bring to market several successful "AI" products in the medical space. There are good, useful, value add applications for the tech out there. But also, to be fair, I've always seen companies that don't call themselves AI companies be successful. For example, a surgical robotics company that calls itself a surgical robotics company, that uses some AI to enable certain value add features, I've seen success there. A company that calls itself an "AI company" that does robotic surgery, I've not seen those types of companies be successful.

Re: Lessons from YC AI Startups

#27

Anyone know what the Energy, Materials Science, and Security ones were? All other categories I can generally intuit how AI is being used, especially LLMs, but not so those three categories. Edit: here they are: Energy: - https://www.ycombinator.com/companies/elyos-energy - https://www.ycombinator.com/companies/line-build - https://www.ycombinator.com/companies/helios-climate-industr... - https://www.ycombinator.com/c…

Previously worked on the intersection of ML and Material Science (specifically batteries). I think the link to osium-ai[0] tells the story pretty well. Material science is plagued by long, expensive, exploration phases - even in places you wouldn't expect them. ML ends up being really good at cutting the expense of these phases by >50% by making you just a little smarter in your exploration.

[0] https://www.ycombinator.com/companies/osium-ai

Re: Lessons from YC AI Startups

#28
post #22

Anyone know what the Energy, Materials Science, and Security ones were? All other categories I can generally intuit how AI is being used, especially LLMs, but not so those three categories. Edit: here they are: Energy: - https://www.ycombinator.com/companies/elyos-energy - https://www.ycombinator.com/companies/line-build - https://www.ycombinator.com/companies/helios-climate-industr... - https://www.ycombinator.com/c…

I am in computational chemistry which has some crossover with Materials Science. AI is useful for speeding up simulations, doing molecular interaction predictions, doing property predictions, doing molecular docking. LLMs are helpful as research assistants and helping design and run experiments. https://atomictessellator.com/ For example, my latest module (I am putting the finishing touches on this as we speak) uses…

Kind of mind blowing. A light in the tunnel for the reproduction crisis?

What specifically have you trained your coding LLM on? Is it lora or something more advanced? Have you created a corpus by hand specifically for training?

Post reply on HN