TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
OpenAI CEO Sam Altman proposed building 36 semiconductor plants for $7 trillion, but TSMC executives dismissed the plan. OpenAI later revised the investment estimate to hundreds of billions amid ongoing discussions.
Read original articleDuring a recent trip to Asia, OpenAI CEO Sam Altman proposed an ambitious plan to build 36 semiconductor fabrication plants at a cost of $7 trillion. This proposal was met with skepticism from executives at TSMC, who reportedly dismissed Altman as a "podcasting bro" and found his requests absurd. Altman's vision included leveraging Asia's manufacturing capabilities, Middle Eastern investment, and U.S. regulatory support to advance AI technology. However, TSMC executives expressed doubts about the feasibility of such a massive investment, which would represent a significant portion of the U.S. annual output. Following the trip, OpenAI downplayed the initial figures, suggesting that the investment might be in the hundreds of billions instead. Altman's discussions with other tech giants like Samsung and SK Hynix were also complicated by national security concerns. Despite the ambitious nature of Altman's plans, there remains uncertainty regarding the specifics of investment and collaboration, with major companies like Microsoft and Nvidia still in talks with OpenAI. The overall sentiment reflects a cautious approach to Altman's grand vision, as the tech industry continues to search for a viable application for AI.
- Sam Altman proposed a $7 trillion investment for 36 new semiconductor plants.
- TSMC executives dismissed Altman's requests as unrealistic.
- OpenAI later revised the investment estimate to hundreds of billions.
- National security concerns affected negotiations with Samsung and SK Hynix.
- Major tech companies are still in discussions with OpenAI regarding potential collaborations.
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Behind OpenAI's plan to make A.I. flow like electricity - https://news.ycombinator.com/item?id=41663562
Submitters: "Please submit the original source. If a post reports on something found on another site, submit the latter." - https://news.ycombinator.com/newsguidelines.html
It will likely take well over a decade to recoup investment on any new chip fab at this point. Chasing ~4 customers on one narrow use case is nonsensical from the perspective of anyone running these companies.
- The public focus on AGI is almost a distraction. By the time we get to AGI highly-specialised models will have taken jobs from huge swaths of the population, SWE and CS are already in play.
- That AI will need to carry out every task a role does to replace it. I see this a lot on HN. What if SWEs get 50% more efficient and they fire half? That's still a gigantic economic impact. Even at the current state of the art this is plausible.
- The notion that everyone laid off above will find new employment from the opportunities AI creates. Perhaps it's just a gap in my knowledge. What opportunities are so large they'll make up for the economies we're starting to see? I understand the inverting population pyramid in the Western world helps this some also (more retirees/less workers).
So a yearly loss of 4 billion dollars or losing $10 million daily. The IPOs basically (mostly) have been operating just the way Bitcoin has been - Next bigger fool theory. That you pass on the potato to the next bigger fool till it ends to the last in the chain like Twitter who doesn't know what to do to churn out those inflated sums paid along the chain.
Not sure how many days OpenAI can afford to lose 10 million dollars daily but current macroeconomic environment, prospects aren't great.
And lo and behold, ClopenAI has already hired CHIPS act people:
"To bolster its efforts, OpenAI has hired Chris Lehane, a Clinton White House lawyer, as its vice president of global policy, along with two people from the Commerce Department who worked on the CHIPS Act, a bipartisan law designed to increase domestic chip manufacturing. One of them will manage future infrastructure projects and policy."
We'll build plants overseas if you don't give us CHIPS Act money is a great scheme.
I also don’t see think it’s historically accurate. My understanding was that widespread electrification were motivated by lighting, the radio, and other applications. Getting electricity to more people probably helped spur further development, sure, but there were already “killer apps.”
a) Given how geopolitical semiconductors and AI are right now. Why he is running around the world running his mouth seemingly without the cooperation of the US government.
b) What does Microsoft have to say about OpenAI building a parallel cloud.
c) OpenAI has zero competence in designing and building their own end to end stack but yet they are going to jump straight to $7T worth of infrastructure. Even Apple acquired PA Semiconductor and a number of smaller startups to build out their team.
I've been in semiconductor / chip design for almost 30 years at 8 different companies including 2 that owned their own fabs. I've also worked on 2 different AI accelerator chips.
Altman sounds like someone who has no idea about the industry. The numbers in the article are laughable.
This quote summed it up.
> It is still unclear how all this would work. OpenAI has tried to assemble a loose federation of companies, including data center builders like Microsoft as well as investors and chipmakers. But the particulars of who would pay the money, who would get it and what they would even build are hazy.
He's trying to get a bunch of diverse companies including Microsoft to fund this but it's unclear what kind of chips he actually wants. Many of the big companies including Microsoft are designing their own custom AI chips.
But the article mentions Nvidia. Does OpenAI have any plans to design their own chips or do they just use Nvidia? It may be difficult to get Nvidia competitors to want to join his effort.
> TSMC makes semiconductors for Nvidia, the leading developer of A.I. chips. The plan would allow Nvidia to churn out more chips. OpenAI and other companies would use those chips in more A.I. data centers.
My nerd hype died as I used gpt4+ and Claude 3.5+ whatever for coding tasks and realized if a human somewhere in the training data hadn't already solved a programming problem/wrote code for a solution the LLM's are useless for said problem.
They're useful as an assistant/junior coder to do repetitive tasks/things you/other humans already have already done tho. BUT that's not going to revolutionize programming as you already have to know how to code to use them.
* and "hallucinations" should be referred to as "bullshitting" when it comes to LLM's as that's what it really is.
Blackwell cabinets are $3M each and have significant power requirements and thus you'd likely need to be selling your products at $100/month/seat to turn a slim profit.
But CEOs often practice a form of charismatic leadership whereby you have to project having more knowledge than you actually do. That is because their leadership is both less democratic and less secure than their counterparts. You've got to be constantly maneuvering against challenges to your legitimacy.
I think it has something to do with the Gemeinschaft–Gesellschaft dichotomy from German sociology. You might think that a tech company would be the quintessential form of Gesellschaft, but in reality, the community of tech CEOs and VCs is far more like a social club than it is like a rational, contractual relationship.
factors are that international markets rely less on local cults of personality and just the financial, it’s also fair to say that TSMC is risk averse, most amusingly is that these personality cults work out fine if you throw enough money at them so I can’t fault this podcast bro for trying
"The NYT claims it discussed OpenAI's negotiations with nine people close to the discussions but who wish to remain anonymous."
"Claims"? Generally newspapers do not lie about the sourcing for a story.
in retrospect, press media was much more critical of meta and the whole metaverse schtick. it took long but all the money poured on the research has brought more meaningful results with the orion prototype.
we are giving this AI company too much air time. let them do their bidding by themselves.
he is 'Michael jordan of listening' or that he knew within 3 mins that sam is next bill gates.
These are actual paul graham quotes not something from Silicon Valley TV show.
Edit: to ppl responding "you should already know know paul graham is a grifter" . I don't believe is the case given his essays about meritocracy.
Even with the advancements made by OpenAI, some of his takes remind me of a Dollar Store Elon Musk, let alone his despicable way of doing business and seemingly complete lack of any morals.
To your average TSMC exec he's closer to a Jake Paul than to a Lisa Su or even Jensen Huang.
Like, bro, all the sovereign wealth funds of the Arab Gulf hold less than $3 trillion, mostly in illiquid assets that you could take a 50% haircut if you need to liquidate. And after the $100b Vision Fund fiasco where Saudi Arabia was subsidizing "Uber for Dog-walking" startups for years (no thanks to Masayoshi Son), I'm not sure they're going to be keen subsidizing yet another bubble.
But, isn't that the default in VC? Aggressive, toxic optimism because it's not your money and you need to promise otherworldly yield to get capital.
I know Sam is gonna be a billionaire assetwise soon but I wonder if it’ll make him more realistic or even more “idealistic” (bigger bullshitter)
I don’t want to live in a world where nobody takes risks.
> However, the latest OpenAI statements have rolled back such talk to "mere" hundreds of billions. It is reported that years of construction time would also be needed to satisfy the OpenAI compute scaling plans.
Yeah so what? It will take years to build so build 36 mega data-centers in parallel.
> the firm has an income of approximately $3 billion per year, which is put in deep shade by its $7 billion annual expenditure.
Those are tiny numbers. Airpods are a $14B/year line of products. OpenAI needs to be ready to spend 100B/year.
> Likewise, Apple launched its iPhone 16 and 16 Pro earlier in the month with a lot of talk about Apple Intelligence, but the first of these AI features won’t be available on the new devices until next month.
I’m on a 15 pro max with the 18.1 PUBLIC Beta. I have these features and so do 16 users. Mark Tyson. This is terrible lazy journalism. You add half true statements to make your point.
Remember when Blockbuster mocked Netflix?
Remember when Steve Ballmer mocked the iPhone?
Remember when Zuck was mocked for the Metaverse?
I'm pretty sure Sam would have heard similar mockings like "You can't take on Google behemoth, podcaster bro" before.
But the sad part is, the newer tech generation is so brainwashed that it takes the side of the mocker instead of the mockee.
Watch Sam partner with some other fab like Intel and make TSMC irrelevant. Of course HN will then side with Sam
Just ... OMFG ... I used to do this all the time? This used to be how you learned things? You mean I get to read 10 sites and 25 dumb answers to get to a possibly correct one? And all the while I got ads coming at me for this and that. A friend was trying to decode some chat convo we had about GLP-1 drugs and get factual information.
Google search was nothing but direct ads selling "IF YOU LIKE OZEMPIC YOU WILL LOOOOOVE NOZEMPIC - ITS ALL NATURAL!!" and the content-mill blogs and such that tout the benefits of some "NOZEMPIC" variant.
AI has changed the way I learn and research. I have a very capable tutor on demand for any subject there is, any time I want to use it. Its mostly right or "good enough for government work" as the old guys say.
I was once an AI hater - now Im an AI evangelist and Im turning people in my sphere of influence into AI users too. Once you show them the value prop they totally get it. Learning and such no longer requires manual work for the 90% case.
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Microsoft, Apple, and Nvidia will reportedly bail out OpenAI from bankruptcy
OpenAI is seeking funding to avoid bankruptcy amid projected losses of $5 billion, with Microsoft, Apple, and NVIDIA discussing investments that could raise its valuation to over $100 billion.
OpenAI plans to build its own AI chips on TSMC's forthcoming
OpenAI is developing AI chips with TSMC's 1.6 nm A16 process, aiming to reduce costs from Nvidia's servers. Partnerships with Broadcom, Marvell, and possibly Apple are under consideration.
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