Love this kind of behind the scenes -- thanks for sharing!
Personally, I think in a way you both ended up right. Content is king. But with the iPad (my favorite PDF viewer) as an important part of the Preview landscape now, I view the right side as where content should live.
As long as both companies remain stable and viable, there's probably limited upside to pouring more money into them. If they fail, and bring down the AI ecosystem with them, that is very bad news for Nvidia. So they've been there nurturing their success and providing capital to backstop their exponential growth.
You can see Nvidia stepping in throughout the ecosystem with confidence boosting investments where needed. They haven't just supported Anthropic and OpenAI.
If OpenAI and Anthropic succeed, and get their business fly-wheels fully spinning, they don't necessarily need more capital from Huang. Ultimately the goal of Nvidia is to profit from their long-term success by selling them GPUs for a long, long time. The goal isn't to keep plowing money into them forever.
These days Nvidia has more money than it knows what to do with. They could certainly push $5b+ into each company annually and never miss it. They're tracking toward an astounding $200b in operating income (maybe over the next four quarters if the music doesn't suddenly stop).
Why would paying dividends not be like throwing money away for Nvidia, considering the alternative is to reinvest it into Nvidia's R&D, hiring & training, etc. Investors are already happily making money on NVDA stock appreciation, so what more would they gain from paying dividends?
It did not raise $110 billion. According to their own SEC filings $35 billion of Amazon’s funding is contingent on “(i) OpenAI meeting specified milestones, and (ii) OpenAI directly or indirectly consummating an initial public offering or direct listing of equity securities in the United States”
> I can hardly believe that this is legal. They’re basically committing money that doesn’t exist just yet.
What do you mean "just yet" :-)
I don't really know how likely it is that the money being committed will actually exist when the time comes (Softbank's commitment didn't exist, they had to sell off assets and rope in other investors to meet their commitments).
Maybe it is very likely to exist, but, really, who knows?
IOW, your statement would be equally true by ending the sentence at the word "exist".
Vault cash are actual bills in vaults. It doesn't even include the bills in your wallet or under your mattress.
It's small because few people go to the bank to withdraw a suitcase of $100 bills, it's a weird time series to pull up because it's not really indicative of anything outside of narrow interests for regulators and the mint - it's probably some conspiracy theory trope from crypto bros or something.
Most money exists purely in electronic form these days.
Monetary base [0] which includes the digital money banks have on deposit at the Fed, is over $5 trillion, and even that is tiny compared to M1 [1] which includes the kinds of things backing your money market account, which is around $19T.
When money is invested, they're going to wire it, not pull up with wheelbarrows full of bills.
GP is wrong though, vault cash is the incorrect time series for that.
GP should have used Monetary Base if they wanted to consider purely electronic cash (that is not a result of any fractional reserve stuff at all), which is over $5T disproving their point.
That's what I was referring to. They're committing money they don't have in any monetary form at all. They're just promising they'll have it when it comes due. This is kind of like MLM.
You could get something smaller but have it closer to your face than 1m?
The sort of “visual impact” a screen can have is mostly a combination of what percentage of your FOV it consumes.
People think they’ve got a bunch of screen real estate when they buy a big TV to use as a monitor… and then they use it a twice or more the distance of a regular monitor.
Personally at this point my combined AI spend is the most expensive recurring monthly subscription I have, and that’s even with my company also paying for the AI tools I use at work.
If it weren’t subsidized I would pay more. Wouldn’t be happy about it but I would do it.
At this stage in the game I don’t really understand where this skepticism of the value these tools provides comes from.
Actually it is not about this stage. It is about the sustainability of this when training data runs out and there is less and less human generated content.
When training data runs out, they usefulness will diminish quickly. They will still be useful for searching documents etc, but I guess they are not good at that even now.
This lazy kind of post annoys me because it sort of groups any of us saying that this technology is profoundly different in with all the town criers who have said this kind of thing before — even if we have never said it before and were even skeptical of past declarations
Effectively, it’s a statement saying nothing can ever be profoundly different, because people have said it before and been wrong.
I would guess there's not enough volume due to limited use-cases of the tech compared to more traditional screens.
The typical e-ink uses cases boil down to e-readers, dumb-phones, and hobbyists, which is not a huge market. Anything niche or specialized tends to carry a higher cost.
Yeah. Everyone sort of assumes that not having personally written the code means they can’t debug it.
When is the last time you had an on call blow up that was actually your code?
Not that I’m some savant of code writing — but for me, pretty much never. It’s always something I’ve never touched that blows up on my Saturday night when I’m on call. Turns out it doesn’t really change much if it’s Sam who wrote it … or Claude.
Sam might be 7 beers deep, or maybe he's available. In my org, oncall is just who gets the 2am phone call. They can try to contact anyone else if needed.
Claude is there as long as you're paying,and I hope he doesn't hallucinate an answer.
Yeah but now you get an LLM to help you understand the code base 100x faster.
Remember, they're not just good for writing code. They're amazing at reading code and explaining to you how the architecture works, the main design decisions, how the files fit together, etc.
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