91–100 of 238 posts
Based on YC's directory, there are approximately 13,000 YC founders since YC started. 105/13000 is a very small number to focus on. This data doesn't really mean anything.
Based on YC's directory, there are approximately 13,000 YC founders since YC started. 105/13000 is a very small number to focus on. This data doesn't really mean anything.
What I find more interesting is how many people have left big orgs where they had major leadership roles, to become ICs at Anthropic.
So I could imagine tons of people in those roles who would love to be ICs again if there was also a chance at outsized wealth.
The question I have is why are these companies hiring these people and what does it say about their hiring practices and the amount of capital they’re poorly spending? It’s exceedingly unlikely that any of the people who were working on YC startups previously have any real professional experience with any of the following: slurm, collectives, NUMA systems, RDMA, compilers, systems programming, general HPC performance…
People ask the same question of why YC funds yet another Uber for dogs or a button on the Touch Bar that cost $10/mo to help join a meeting faster. They invest in people more than ideas, so you’ve got, at least in many cases, people with good pedigree and skills (age adjusted anyway) building on stupid ideas, but that are eminently employable. Obviously there are other factors, I’m not really trying to defend anythin…
This is what always stood out to me. Founders talk about the risks they take as their major legitimizing force. But what risk? They’re the types who can (mostly) skip an interview and go direct into a six figure job - because of the sales and founder networks they develop.
Startup founders with no risk doesnt sound like a recipe for great companies.
Based on YC's directory, there are approximately 13,000 YC founders since YC started. 105/13000 is a very small number to focus on. This data doesn't really mean anything.
What I find more interesting is how many people have left big orgs where they had major leadership roles, to become ICs at Anthropic.
(1) (digital) AGI is a real concept, and will be achieved imminently
(2) AGI will be world (and possibly more) changing.
(3) Anthropic will be the one to do that, or at least capture a large part of it
If you buy into all of these, which I'm assuming a lot of SV does at this point, then its kind of a no brainer to go to OpenAI or Anthropic. And optics wise it seems like Anthropic is "winning" right now, so thats the lab with the talent flow.
If Anthropic actually creates a singleton, contributing to that is way more impactful than being CTO at some random company (though I may disagree that said singleton would treat equity holders any differently).
Effectively, industry roles are a tiered system which determines access to the cashflow. Going the YC founder route is a much faster and more efficient way to secure a high tier than climbing the SWE ladder. The whole thing resembles a kind of mini class system, with high tiers granting access to generational wealth, and low tiers being better off than the average non-industry Joe. Once you're in the high tier, there…
Earlier quoted context omitted.
I’ve seen many people climb the SWE ladder or build a YC company (having done both myself), and trust me the founder route is not the most efficient. You only believe this because you didn’t see the 2 failed startups and 10 year journey grinding 80h weeks almost running out of cash a few times. Jensen Huang himself says nobody in their right mind should start a company https://www.cnbc.com/amp/2024/05/11/jensen-huang…
Except that he did start a company so his comment is really saying you have to be crazy enough to start a company
Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. With so much human capital and resources dedicated to developing and running LLMs a…
> Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. It's worth pointing out that "entire economy is betting everything on [AI]" you'r…
Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. With so much human capital and resources dedicated to developing and running LLMs a…
Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. With so much human capital and resources dedicated to developing and running LLMs a…
> Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. It's worth pointing out that "entire economy is betting everything on [AI]" you'r…
I wasted like a half hour trying to find decent sources but I guess I don't know how to search the internet anymore.
I think we're betting more than the stock market on AI, even if I can't say for sure how much.
Whatever you think of AI for your own work, the fact that the entire economy is betting everything on it is really concerning. It’s not just the fact that it may not work well economically speaking and would end up with a market crash, or all the negative externalities from AI development, it’s also the opportunity cost we are paying. With so much human capital and resources dedicated to developing and running LLMs a…
I prefer that scenario to the one we had before where too many smart people were building out social networks and similar services trying to maximize ad impressions. We are still dealing with the consequences…