@marcfelske 100% agree with the problem statement. My worry is that LLMs (even the ones trained on internal knowledge base) are prone to hallucination. I think that current state of LLMs require an expert supervision to be useful, which negates the point of training someone new.
@Samirkaji Totally agree that downrounds can be just a normal company lifecycle, however, they do tend to wipe out common stock shareholder value (founders and employee options mostly) and early investor value.
What to Expect After You Exit
Everyone talks about scaling and exits, but nobody talks about what life is like AFTER the fact.
So, here's what to expect if you cash out:
@peternixey Had exactly this discussion with one of the EU-leading ML experts the other day. We came to a conclusion that it will have to be a societal-level approach and it's not clear what v5...v10 will bring. Industrial revolution vs automation. Exponential growth is scary.
@cgledhill@foundingadvisor CBDCs are being pushed heavily. That has some interesting implications in terms of transparency/tracking and control down the line
@Maren_Bannon Personally I think that root cause is usually not doing enough / proper business development early on, which then leads to wrong product, unclear GTM, wrong product, burnout etc... As my mentor has said "sales solve most of the problems" :)
@kittymayo Love it! I think "curious" is spot on - during my first startup a lot of people said that "we definitely need to start something together once you're done with this company", yet, when I spoke to them starting my 2nd startup I heard only excuses for why NOT now
I forced a bot to watch over 1,000 hours of startup pitch meetings and then asked it to re-create a startup pitch meeting of its own. Here is the first page.
@cgledhill I wonder how much can be attribute to brexit vs startup funding / scene being all time high everywhere. Irrespective, just imagine the numbers if we didn't have the brexit... https://t.co/ayKr4bFz2h