Comment by embedding-shape
8 hours ago
Not feeling like 1 hour of my Sunday is worth listening to this, do anyone have the non-clickbait answers to the two "previews" mentioned in the description?
> 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?
> What was the technical plan
"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.
What was the real real reason?
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).
If they stayed small and 100% non-profit, would the influence or value of the non profit be more, or less, than it is today?
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.
4 replies →
To get rich of course
I can easily guess also that at the beginning they were more thinking like a research project that they could create something but would like quantum computing today, not really of real world used.
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.
the real real reason being gdb wanting to be a billionaire ;)
Unsupervised
Granola notes are a 1 Minute read: https://notes.granola.ai/d/2c35c84f-6eb4-497a-8419-294d92141...
>> What was the technical plan and what was the "real reason" they couldn't achieve their original goals?
Because they were still downloading from Anna's Archive and the lawyers were in panic?
1. Solve reinforcement learning.
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.
Huh, I guess ML people weren't aware of "divide and conquer" that has been successfully employed in software engineering since basically forever?
> 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.
Not that they wanted more money personally, but that they needed more money for compute.
1 reply →
> The answer is that they needed more money.
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?
Don't all nonprofits need more money to improve their sustainment?
1 reply →
Trivial to imagine everyone switching to Anthropic or Google or on-device LLMs.
https://www.youtube.com/watch?v=6JoUcQ1qmAc
> Not feeling like 1 hour of my Sunday is worth listening to this, do anyone have the non-clickbait answers to the two "previews" mentioned in the description?
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.
You mean the transcript that is behind a account/paywall? Or is there some other link I'm missing?
Yes, you're missing the link at the end of the article for free.
Apparently we're all expected to somehow know that "Granola notes" is a summary of the conversation.