"It is 1958. IBM passes up the chance to buy a young, fledgling company that has invented a new technology called xerography. Two years later, Xerox is born, and IBM has been kicking themselves ever since. It is ten years later, the late '60s. Digital Equipment DEC and others invent the minicomputer. IBM dismisses the minicomputer as too small to do serious computing and, therefore, unimportant to their business. DEC…
DEC went down the drain, Xerox is 1/1000 of IBM's market cap. IBM made its own, superior by its relative openness, personal computer that ended up running the world, mostly maintaining direct binary compatibility for 40+ years, even without IBM really paying attention.
IBM CEO says there is 'no way' spending on AI data centers will pay off
611–620 of 985 posts
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#612Earlier quoted context omitted.
Data centre cards a don’t have fans and don’t have video out these days.
i dont mean consumer market for video cards - i mean a consumer buying ai chips to run themselves so they can have it locally. If i can buy a $10k ai card for less than $5000 dollars, i probably would, if i can use it to run an open model myself.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#613Earlier quoted context omitted.
The value is that we need a lot more software and now, because building software has gotten so much less time consuming, you can sell software to people that could/would not have paid for it previously at a different price point.
We don’t need more software, we need the right software implemented better. That’s not something LLMs can possibly give us because they’re fucking pachinko machines. Here’s a hint: Nobody should ever write a CRUD app, because nobody should ever have to write a CRUD app; that’s something that can be generated fully and deterministically (i.e. by a set of locally-executable heuristics, not a goddamn ocean-boiling LLM)…
I mostly agree, but I do find them useful for fuzzing out tests and finding issues with implementations. I have moved away from larger architectural sketches using LLMs because over larger time scales I no longer find they actually save time, but I do think they're useful for finding ways to improve correctness and safety in code.
It isn't the exciting and magical thing AI platforms want people to think it is, and it isn't indispensable, but I like having it handy sometimes.
The key is that it still requires an operator who knows something is missing, or that there are still improvements to be made, and how to suss them out. This is far less likely to occur in the hands of people who don't know, in which case I agree that it's essentially a pachinko machine.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#614Earlier quoted context omitted.
Your assessment of Claude simply isn’t true. Or Stackoverflow is really good. I’m producing multiple projects per week that are weeks of work each.
Would you mind sharing some of these projects? I've found Claude's usefulness is highly variable, though somewhat predictable. It can write `jq` filters flawlessly every time, whereas I would normally spend 30 minutes scanning docs because nobody memorizes `jq` syntax. And it can comb through server logs in every pod of my k8s clusters extremely fast. But it often struggles making quality code changes in a large code…
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#615Earlier quoted context omitted.
> How different is this from rental car companies changing over their fleets? New generations of GPUs leapfrog in efficiency (performance per watt) and vehicles don't? Cars don't get exponentially better every 2–3 years, meaning the second-hand market is alive and well. Some of us are quite happy driving older cars (two parked outside our home right now, both well over 100,000km driven). If you have a datacentre with…
The used market is going to be absolutely flooded with millions of old cards. I imagine shipping being the most expensive cost for them. The supply side will be insane. Think 100 cards but only 1 buyer as a ratio. Profit for ebay sellers will be on "handling", or inflated shipping costs. eg shipping and handling.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#616Earlier quoted context omitted.
it is not rhetorical. you have not provided a mechanism through which Sam can make money out of this whereas I'm describing ways in which this bubble popping is not something he would prefer.
Your lack of understanding can not be remedied with information. You have a habit of 'just asking questions' when in fact you are trying to steer the conversation in the direction of the conclusion that you prefer. This is not productive. If you have something to say then you can just say it without the question marks. That way people know that you are making a statement instead of pretending to be asking a question.
>On a personal level it will work out for him just fine. All he has to do is siphon off a fraction of that money to himself and/or an entity that he controls.
How would he achieve this?
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#617Earlier quoted context omitted.
> IBM has not exactly had a stellar record at identifying the future. IBM invented/developed/introduced magnetic stripe cards, UPC Barcodes, the modern ATM, Hard drives, floppies, DRAM, SQL, the 360 Family of Mainframes, the PC, Apollo guidance computers, Deep Blue. IBM created a far share of the future we're living in. I'm no fan of much of what IBM is doing at the moment but it could be argued that its consultancy/…
The other way to look at it is that the entire consulting industry is teetering on catastrophe. And IBM, being largely a consulting company now, is not being spared.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#618Earlier quoted context omitted.
If it's not obvious, Steve's quote is ENTIRELY about capex ROI, and I feel his quote is more relevant to what is happening today than anything Arvind Krishna is imagining. The quote is posted in my comment not to grandstand Apple in any sense, but to grandstand just how consistently wrong IBM has been about so many opportunities that they have failed to read correctly - reprography, mini computers and microcomputers…
I have no horse in this race. I don’t think this is really a fair assessment. IBM is in fact a huge company today and it is possible that they are because they took the conservative approach in some of their acquisition strategy. It is a bit like watching someone play poker and fold and then it turns out they had the high hand after all. In hindsight you could of course know that the risk would have been worth it but…
I can also imagine IBM was being approached by hundreds, if not thousands, propositions. That they missed three that turned out to be big is a statistical probability.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#619Earlier quoted context omitted.
Honestly I'm not even sure what IBM does these days. Seems like one company that has slowly been dying for decades. but when I look at their stock, its at all time highs lol no idea
I can think of nothing more peak HN than criticizing a company worth $282 Billion with $6 billion in profit (for startup kids that means they have infinite runway and then some) that has existed for over 100 years with "I'm not even sure what they do these days". I mean the problem could be with IBM... what a loser company!
IBM doesn’t majorly market themselves to consumers. The overwhelming majority of devs just aren’t part of the demographic IBM intends to capture.
It’s no surprise people don’t know what they do. To be honest it does surprise me they’re such a strongly successful company, as little as I’ve knowingly encountered them over my career.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#620Earlier quoted context omitted.
Xerox is clearly crushing it in 2025... /s
That's completely beyond the point, though? Kodak invented the digital camera, did not think anything about it and others then ate their lunch. Those others are also not crushing it in 2025. The point is IBM is not the go-to to listen about AI. Also not saying they are not right, even a broken clock is right 2 times a day.
Why not, though? For better or worse, they're a consulting services company these days, and they work with an eye-wateringly large number of companies. I would expect them to have a very good view as to what companies use AI for, and plan/want to use AI for in the future. They may not be experts in the tech itself, but I think they're decently well-positioned to read the tea leaves.