sorry everyone, sometimes i go down these rabbit holes

One more (for me, and definitely for many others since I've seen similar posts):

It's letting me build stuff I probably wouldn't be able to build by myself without raising lots of money for way cheaper, at least until GitHub Copilot gets incredibly nerfed next month.

…or many people are using the products day to day in their work as IT professionals or developers?

I think it’s mostly the above, rather than a capitalist conspiracy, or in its relevance as a scientific curiosity.

The only thing that should be surprising to anyone who knows about the early history of OpenAI is how little of it YC owns, given how much it leveraged YC’s credibility to get started (early employees joined an institution called “YC Research”, operating from YC’s office space). Once that stake is divided up among all the LPs and small unit holders, it’s not a huge outcome.

Also: nothing gets sustained attention on HN unless good hackers find it interesting. Our entire objective is to be the website that attracts the best hackers, serves them the most interesting content and facilitates the most interesting discussions. That can’t happen if we’re nefariously pushing a commercial agenda.

Does Paul Graham no longer have a stake in Y Combinator?

Same with me. I found a new hobby: reading pre-LLM HN. It turns out I missed so many interesting projects and discussions. Some are a bit funny in hindsight, some are inspiring.

At the same time, the current version of HN is still usable, you just need to mentally filter LLM-related stuff. It was similar with cryptocurrencies TBH.

You would be incorrect.

What is 0.1% of a trillion? I think that's quite a large number still.

Such suspicious phrasing lol. So you’re saying Paul Graham and his wife Jessica have 800 MILLION dollars worth of OpenAI stock, and that’s not so significant?

Please don’t post snark on HN. Gary is, objectively, an AI expert. He’s been a leading researcher for decades and sold an AI company to Uber. He obviously sees things differently from the current generation of AI company leaders and has concerns about the direction of the AI industry. That doesn’t mean it’s fine to disrespect someone like this here. The first rule of the “In Comments” section of the guidelines is be kind.

https://news.ycombinator.com/newsguidelines.html

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> So what does the true definition of "AGI" actually mean? It depends on who you ask.

AGI - Automatically Generating Income

> So what does the true definition of "AGI" actually mean?

No worries, there will be a startup creating "AGI Bench", >=80% means you're AGI, they will be valued $50B.

I disagree there tons of early stage investors who even invest before YC you can find them on OpenVC

Only a Sith deals in absolutes...

OpenAI’s last post-money valuation was less than a trillion. They’ll probably cross that point in the future, but let’s not get ahead of ourselves.

AGI - Ad-generated income.

We're forced to decide whether 0.8B is enough to risk her credibility over, or, if it matters to us, gather more information first

The ARC-AGI benchmark is basically this already

> So what does the true definition of "AGI" actually mean? It depends on who you ask.

When Greg Brockman makes a lot of money from the deal.

> So what does the true definition of "AGI" actually mean?

If your stake is > 30 billion seems more of a reasonable and realistic criteria to me.

One of the random tidbits I can remember from the New Yorker Altman deep dive was Brockman being obsessed about making $1B dollars. It was memorable because I actually cringed reading it.

why non-AI? If AI is arguably great at something, it's this.

First do 80%, then do the remaining 150%, I would imagine

AGI is defined as whatever it takes for stock holders to make $$$ I guess?

The actual content of the post is straightforward and not particularly novel — YC has a stake in OpenAI, that creates a conflict of interest, and the New Yorker is negligent (in the informal sense) for not putting that in their piece.

It’s a sobering reminder and worthy of being on the front page on that basis alone, but I don’t see much of a discussion to be had. “Unusually quiet for a front page post” is probably where this post is meant to be.

""Artificial General Intelligence" which has been clearly hijacked to mean something else."

I mean, the goalposts shifted. The game Go used to be considered to require true AI. Passing the turing test. Scanning, analyzing and improving complex codebases largely on their own would have been considered some sort of AGI by me 6 years ago.

Now sure, we all know they lack true understanding. But it gets blurry at times what that does mean.

But I don't buy that there will be a magic point, where self improving AGI explodes towards singularity. The current approach is very, very energy and compute intense and that is unlikely to change.

Rhymes with reddit.com at IPO:

- Sam Altman ~9%

- YCombinator had <5%

- Steve Huffman ~3% Although he had ~4% voting power via Class B shares.

- Alexis Ohanian: Minimal

- Advance Publications: ~30%

- Tencent: ~11%.

The original founders (Steve Huffman and Alexis Ohanian) massively diluted when they sold Reddit to Advance Publications in 2006 for $10 to $20 million.

Numbers above are vaguely accurate. See https://www.untaylored.com/post/who-owns-reddit

That's the trick right? What do they really mean by AGI. Depending on how narrow you go, it sounds like we've already achieved it. However, if they keep saying they'll achieve it and not defining it before making such statements that determine what it is, they can keep saying it endlessly to create hype.

One key thing I've heard about AGI which I think would be the most determining factor for me is a model that learns on the fly. Which could be done one way or another, but when you consider that LLMs basically run like "ROM" files, it makes it a little complicated.

I think we need to re-imagine how LLMs are built, train, and run. But also, figure out how to drastically lower the cost of running them.

My understanding is dang has said in the past they do some anti moderation(I’m sure he has a better term) for posts related to ycombinator. That is to say they moderate less and might, do not quote me here, even boost a tad. So upvoted story by a well reputed source even without many comments is likely to hang onto the front page for a bit.

Do you have something to say about it?

Ronan Farrow and Andrew Marantz had a critical investigative report in The New Yorker on Sam Altman and OpenAI last month asking whether Altman could be trusted.

Paul Graham of Y-Combinator in response tweeted some positive things about Altman, emphasising that they didn't fire him as CEO of YC (though not going as far as declaring him trustworthy).

Now John Gruber of DaringFireball (an Apple blog) added context by claiming that YC owns a 0.6% stake in OpenAi, worth around $5bn, which might colour Graham's judgement.

Exactly! It's only $0.0008T. Pocket change really...

That is not at all the intention of the ARC team. By ARC teams definition, passing any single ARC-AGI benchmark does not mean that AGI has been achieved. Instead, AGI would be considered achieved when we are no longer able to come up with new benchmarks that the AI systems do not immediately do well on.

It was $852 billion - 0.1% of which is $852 million

> not particularly novel

As far as I know this is the first time anyone has publicly claimed to know, quoting insider sources, what YC's actual stake in OpenAI is.

Maybe the dystopian AI development will result in energy funding and advancements that actually benefit most of us. I really hope all this turns out in a net positive for humanity. If we wont get true "AGI", which we are far far away from, we at least could make some advancements in different areas.

I think they would not be LLMs then.

Can only buy a luxury mega yacht, few mansions and private jets, but let's be real, after this you're lucky if you're left with just enough to buy yourself an European football club.

You're thinking of the principle I've explained here over the years: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... - that we moderate HN less, not more, when YC or a YC-funded startup are part of the story.

"Less" doesn't mean "not at all", of course—that would be too big a loophole. But it does mean strictly less, and we stick to that, despite its various downsides, because the upside is bigger.

In the present case, it means we haven't applied any moderation downweights to this post, even though it's obviously the sort of thing we would downweight under other circumstances, since it's neither particularly substantive nor intellectually interesting (though it could be some other kind of interesting, at least to some readers).

85.2m*

Well, I surely hope so, but I feel less positive if that means a nuclear power plant is parked before every new rushed datacenter

https://www.scmp.com/news/china/science/article/3351721/chin...

But in general I do believe AI has the potential to be a great positive for humanity on its own - if the open models stay strong and not only a few people control them.

Are you sure?

I can see your reasoning. Unfortunately I see and experience everything wrong with AI in my daily life. People ask it what gifts to buy for their loved ones or use it as therapist substitute. Humans are not ready for this technology. A lot of us are even losing the ability to read properly (even though thats related to technology in general). It's extremely scary. The only advantage humans have is an extraordinary big brain and a pair of thumbs, we can't afford to use our brains less.

I mean, people are doing dumb shit since the beginning of times and I considered this society as messed up since way before LLMs.

And yes, humans as a whole are not even ready for cars or nuclear weapons. We build and used them anyway.

But my brain is still pretty busy and I don't think the younger generation is getting dumber because of LLMs, rather mindless consuming TikTok and co

LLMs are a also great learning tool and anyone using them should know their limits quickly. Not all do, though. That is obvious.