> Greg explains how the original Napa offsite produced the three-step technical plan OpenAI has followed for a decade and the real reason OpenAI had to abandon its pure nonprofit structure
What was the technical plan and what was the "real reason" they couldn't achieve their original goals?
"1. Solve reinforcement learning
2. Solve unsupervised learning
3. Gradually learn more complicated 'things'"
That three point list is verbatim the extent of the technical plan mentioned.
> what was the "real reason" they couldn't achieve their original goals?
Paraphrasing, "we needed more money for compute and didn't think we could get enough as a non-profit". Brockman's diary might be a stronger indicator of the real real reason, though.
I imagine if they stayed nonprofit, they would’ve survived, but not convinced investors to give them enough $$$ and datacenters to stay the most popular (above Google).
I think the non-profit has around 25% ownership of something that is around a trillion dollars of on-paper money.
I guess we will see what things are still worth when the crazy days come to an end.
But the purpose of a non profit is not to maximise profit in a for profit investment.
How well is non profit doing at furthering its goals? It formerly had the purpose of “safely” ensuring artificial intelligence benefits all of humanity. It looks like it gave up on that so its staff could be incredibly rich.
But you ignored the part about influence, would an OpenAI that did not scale up and had no world beating models have much of a say in how AI gets developed
This is not to say that I think they are doing everything right, but I see people bitter that they didn't take the path towards forgotten irrelivance.
What would you reccommend that they should have done that would still lead to them being relevant to the world development of AI?
And one things started to become real, they realized the financing potential of the thing, that they were seated on a gold mine and would be stupid of them to create that and not profit much more of it.
00:00:00 Introduction
00:00:49 Meeting Sam Altman and Starting OpenAI
00:02:40 Building the Founding Team
00:04:25 DeepMind's Lead Over OpenAI
00:04:54 The Change from a Pure Non-Profit
00:06:05 Breakthrough Moments at OpenAI
00:08:22 What Dota 2 Meant for OpenAI
00:10:04 Reasoning Versus Prediction
00:11:59 Tensions Grow at OpenAI
00:15:44 Sam Altman's Firing
00:17:49 Greg Quits OpenAI
00:19:56 Sam Explores Deal with Microsoft's Satya
00:20:28 OpenAI Employees Sign Petition for Altman's Return
00:23:43 Ilya Sutskever Leaves OpenAI
00:24:59 Lessons Learned in Leadership after Sam Ousting
00:28:22 The Thing Ilya Said that Greg Can't Forget
00:32:22 Is AI Going Parabolic?
00:33:24 How Much of OpenAI's Code is Written by AI?
00:36:21 Are AI Chatbots Just Telling Us What We Want to Hear?
00:38:06 The Global AI Race to Reach AGI
00:38:40 What Happens if US Doesn't Reach AGI First?
00:39:49 Are Competing Countries Stealing AI Advancements from U.S?
00:40:38 Why ChatGPT No Longer Shows Reasoning
00:41:47 The Finite Constraints of Compute
00:43:38 On Investing Early in Data Centers
00:46:31 The Future of Data Center Specialization
00:47:52 How OpenAI Will Decide Whose Queries to Serve
00:49:08 OpenAI on Consumer vs Enterprise Models
00:53:05 Data Centers in Space?
01:00:56 What Should AI Regulation Look Like?
01:04:33 The Future of AI-Powered Entrepreneurship
01:04:44 AI and Job Loss
01:07:15 The Skills Young People Should Invest In
01:11:30 What Does Success Look Like For You?Because they were still downloading from Anna's Archive and the lawyers were in panic?
2. solve unsupervised learning.
3. gradually tackle more complicated things.
> what was the "real reason" they couldn't achieve their original goals?
I assume this is referring to why they gave up being a non-profit. The answer is that they needed more money.
> I assume this is referring to why they gave up being a non-profit. The answer is that they needed more money.
Ugh, that was more boring than even I expected, thanks a lot for saving me the time though, seems avoiding watching the full thing was worth it.
isn't it still an odd choice for a nonprofit? it's hard to imagine a world without OpenAI and ChatGPT now, but at some point they decided being the best is most important. and presumably most profitable, since why just need a little more money?
I know HN is built around mostly not reading the articles linked but how about you click on the link and surprise, there is already exactly another link providing what you're asking for.