carliton

Many companies don’t get to Series A and very few companies get to Series B. Even if they do get to Series A or B, they won’t be able to raise the amounts you see in the news and have heavy dilution.

Very few founders have double digits percent ownership by Series B and Series C.

Liquidity of $400k or more is a lot and isn’t available for many founders.

All of this after 7 to 10 years of working 80+ hours week, no social life, loosing family, sacrificing health, taking less than $100k/year salary, constant worry of failure, dealing with ups and downs of employees, being a support system of everyone in the company while not being one for their own families, and no guarantee of success. All of this for seeing their dream come true because failure would be worse.

I think the OP should work on his company for more than 4 months and have more than 10 employees for at least a year to truly understand what it is to be a founder.

Also 20% option pool and exercising options up to 10 years are not uncommon.

Source: 2nd time founder.

LLMs are useful to a certain extent, but from my usage they are not ready for anything harder than very basic tasks.

I feel like this megaphone about AI safety and creating a sense of doom is a strategy to increase importance of OpenAI and exaggerate the capabilities of LLMs. This era of “AI” is all about pretending that machines can think and the people working in these machines are prophets.

Hi Curtiz,

Thanks for uploading RCP100. Your comment is a timely one. I wanted to learn how a router works and is built and was looking for a simpler implementation.

Can you recommend any resources from which I could learn more about network programming, so that I could understand RCP100 code better?

Thanks!