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SoftBank sells its entire stake in Nvidia

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Re: SoftBank sells its entire stake in Nvidia

#221

Earlier quoted context omitted.

> to put it all directly in the AI gold rush company There are 3 facts here: 1. Softbank's nvidia stake sale has happened 2. Softbank has not put it all directly into the AI gold rush 3. 2 other investment entities have also sold most/all their stake in Nvidia Do what these 3 facts as you will but these are ripples in the surface of the tech world

What are these two other entities?

Curbstone and Druckenmiller are the noteworthy ones from outsiders. Several Nvidia executives sold millions of their stock (possibly the world's most valuable stock) in the first half of the year and also sold millions of their nvidia stock last year which is roughly when most agreed that OpenAI was not likely to deliver anything groundbreaking anymore from their current transformer tech.

The Gpt-5 release just confirmed what most knew. And we know that the best time to leave is when the market can still get slightly hotter.

Re: SoftBank sells its entire stake in Nvidia

#222
post #86

Earlier quoted context omitted.

Keep in mind how severely the quality of Google search results or e.g. any consumer facing piece of Microsoft software (Windows, Office, OneDrive, etc.) have deteriorated to the point it has far transcended the more nerdy corners of the web, yet both continue to retain a strict grip, thanks to buy in/brand strength.

I have been using DDG for years and even with Google quality having plunged it is neither better nor less expensive (nor the default when non technical users just type in the search bar of their browser). Yahoo has shown that even with immense brand recognition people will still switch if the alternative is really better. And if Google was 2x more expensive than DDG they’d switch too. Regarding Microsoft it’s not as…

> Yahoo has shown that even with immense brand recognition people will still switch if the alternative is really better.

But it didn’t, Google users beyond a few initial super users who switched early on in the late nineties/early two thousands, track directly with the massive growth in new active web users. These new first time web users, far more than switching made up the growth between 2002-2006 that made Google dominant over Yahoo. It also should be kept in mind how much better Google was over Yahoo, whereas I am doubtful LLMs will have such deviations in quality, looks more like the opposite.

Point remains, OpenAI will, in my opinion, retain the strongest consumer share of LLMs, regardless of output quality, introduction of ads, etc.

This is not ecosystem lock in, it is solely branding. What do you think most have in mind when you mention search? What when it comes to online shopping? Now do the same for “AI”. Only one brand comes to mind for most.

Re: SoftBank sells its entire stake in Nvidia

#223
post #208

Earlier quoted context omitted.

> At some point, a good VC would have a second winner. but you don't make the same type of deduction for lottery winners - surely a good lottery number picker should get a second win sooner or later!

Lottery winners do not tell the world they are smarter than the rest of us, or go on podcasts, write op-eds or start websites telling the rest of us how the world should be run.

Or buy american democracy

Re: SoftBank sells its entire stake in Nvidia

#224

Note the first line: > SoftBank said Tuesday it has sold its entire stake in U.S. chipmaker Nvidia for $5.83 billion as the Japanese giant looks to capitalize its “all in” bet on ChatGPT maker OpenAI. They are switching gears, not exiting, folks.

I would have thought that the OpenAI bet is way more risky, because if someone comes along with a better model it could really hurt OpenAI. NVIDIA seems harder to dethrone imo.

SoftBank is the world leader in turning safe bets into risky ones.

Re: SoftBank sells its entire stake in Nvidia

#225
post #83

Earlier quoted context omitted.

I would have thought that the OpenAI bet is way more risky, because if someone comes along with a better model it could really hurt OpenAI. NVIDIA seems harder to dethrone imo.

They probably know more than us. Such as alternative chips or that the Chinese will go in-house sooner than we think. Nvidia’s moat is not as permanent as people think.

>They probably know more than us.

If they are privy to information that we don't know that led to this discussion, isn't that insider trading?

Re: SoftBank sells its entire stake in Nvidia

#226

Earlier quoted context omitted.

At some point, a good VC would have a second winner. And if that is the VC model, then are the VCs smarter than everybody else?

This is one of my arguments that startups are mostly about luck - because smart people who are highly incentivised to pick wimmers, with all the data they need to pick winners, all the people and compute they need to pick winners, can't pick winners.

[deleted]

Re: SoftBank sells its entire stake in Nvidia

#227

Earlier quoted context omitted.

Isn't that basically the venture capital model, though? Your winners go many times X, and the losers become worthless.

Mayoshi has made a lot of bets since Alibaba. Almost all of them have tanked. Over this amount of time and bets, he should have more winners.

About 7 or 8 years ago I worked at a startup which got money from Softbank / Masayoshi Son. Our founder and our CTO went to meet him in LA IIRC to pitch.

They came back telling us he was basically asleep during the pitch meeting which was scheduled for only 10 minutes anyway.

Our business/product really had no chance of succeeding at this point and most knew it. We got some money from Softbank anyway - forgot how much. Our management was basically laughing about how easy it was to get funding from Softbank.

I jumped ship a year later or so and that was good timing.

Re: SoftBank sells its entire stake in Nvidia

#228
post #112

Earlier quoted context omitted.

I'd argue their brand might be too strong, ChatGPT has already begun to enter the same semantic space as "Velcro". Everyone I know seems to have tried it yet quickly you begin to realize that for most people ChatGPT == LLM, it seems everyone is using "ChatGPT" on completely different platforms. In the end, regardless of technical understanding, people will always shop around on price if the feature set is similar eno…

The thing is, laypeople aren't using anything other than Google Search even for LLM answers. If I want an LLM answer to "is erythritol bad for you", I'm not firing up ChatGPT. I'm just typing it into Google, and the LLM answer it spits out is pretty good. ChatGPT needs to be significantly more compelling for most people to use it for one-shot LLM answers over Google Search. And the minute Google removes the one-shott…

It's a Google without ads right now. Worth using until that day comes

Re: SoftBank sells its entire stake in Nvidia

#229
post #145
post #35

Earlier quoted context omitted.

Market capitalization is not equal to real money. Take a look at how Elon Musk bought Twitter.

Daily trading volume is roughly 200m units at roughly 200 USD per stock which equals 40bn in daily trades. So 5bn isn't nothing but over the course of a month it isn't particularly much.

5 billion is massive. So much of that 40bn daily volume is just leverage. Sort of like the derivatives market, trillions of dollars in volume but nobody has that much money, it is just margin. So even if some trading firm losses 1-2 billion everyone panics and goes out of the market. It actually happened during the flash crash.

Also, I highly doubt they sold those 5bn of shares in any exchange. Most likely they did it over several weeks on a dark pool. Because again 5bn is massive and it would cause a crash in any open exchange.

Re: SoftBank sells its entire stake in Nvidia

#230

Earlier quoted context omitted.

At some point, a good VC would have a second winner. And if that is the VC model, then are the VCs smarter than everybody else?

This is one of my arguments that startups are mostly about luck - because smart people who are highly incentivised to pick wimmers, with all the data they need to pick winners, all the people and compute they need to pick winners, can't pick winners.

> can't pick winners.

Mayoshi Son isn't playing the VC game like most traditional VC funds. He's operating on a massive scale and his LPs are sovereign wealth funds, who can have other geo-political priorities than pure profit.

Some people don't know that the usual VC game is often still be profitable for the VC even if their fund isn't profitable. VCs are investing the money of their LPs (Limited Partners), who are usually very large institutional investors with billions under management (think state pension funds, Harvard endowment). Most of the LP's funds are invested in a diversified blend of safer, lower-return vehicles but they take up to 5% and invest it in high-risk, high-return things like venture capital and hedge funds. But they spread it across a dozen or more firms with different strategies.

So each VC is playing a portfolio bets and their LPs are playing a portfolio of porfolios. The LPs just need one of their 12+ VC funds to be a lead investor on a unicorn win. This math usually works out in their favor (there's now >50 years of data). VC funds charge their LPs a yearly management fee of a few percent of the invested capital - whether the fund makes money or not. Over the 10 year life of a fund, this adds up and covers the VCs overhead and very generous salaries - usually >$500K at larger firms. In the VC's view, $500K/yr isn't getting long-term "rich" but it'll pay for a pretty lux life. Even with the VC taking out fees, the LP's math still works thanks to only needing one VC firm to win and if one or two more of their VC funds just return 2x or 3x. It maths up even better.

When your personal worst-case downside is $500K/yr minimum with substantial upside, it's not a bad gig. However, these VC types are generally top-of-class Ivy League grads, who are clearly very sharp and ultra high-potential - the type who'd expect $500K earning opptys on Wall Street, consulting, investment banking, etc.

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