361–370 of 985 posts
Now that compute is being used for transformers and machine learning, but we really don't know what it'll be used for in 10 years.
It might all be for naught, or maybe transformers will become more useful, or maybe something else.
'no way' is very absolute. Unlikely, perhaps.
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More than that. The equipment is depreciated on a 5 year schedule on the company balance sheet. It actually costs nothing to discard it.
There’s no marginal tax impact of discarding it or not after 5 years - if it was still net useful to keep it powered, they would keep it. Depreciation doesn’t demand you dispose of or sell the item to see the tax benefit.
A decade ago, IBM was spending enormous amounts of money to tell me stuff like "cognitive finance is here" in big screen-hogging ads on nytimes.com. They were advertising Watson, vaporware which no one talks about today. Are they bitter that someone else has actually made the AI hype take off?
Has it really taken off? Where's the economic impact that isn't investor money being burned or data center capex?
I think the dilemma I see with building so much data centers so fast is exactly like whether I should buy latest iPhone now or should wait few years when the specs or form factor improves later on. The thing is we have proven tech with current AI models so waiting for better tech to develop on small scale before scaling up is a bad strategy.
A decade ago, IBM was spending enormous amounts of money to tell me stuff like "cognitive finance is here" in big screen-hogging ads on nytimes.com. They were advertising Watson, vaporware which no one talks about today. Are they bitter that someone else has actually made the AI hype take off?
Or they recognize that you may get an ROI on a (e.g.) $10M CapEx expenditure but not on a $100M or $1000M/$1B expenditure.
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It makes it suspect when combined with the obvious incentive to make the fact that IBM is basically non-existent in the AI space look like an intentional, sagacious choice to investors. It very may well be, but CEOs are fantastically unreliable narrators.
You expect somebody to be heavily invested currently and also completely openly pessimistic about it?
What is more convincing is when someone invests heavily (and is involved heavily) and then decides to stop sending good money after bad (in their estimation). Not that they’re automatically right, but is at least pay attention to their rationales. You learn very little about the real world by listening to the most motivated reasoner’s nearly fact-free bloviation.
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Xerox was also famously early with a lot of things but failed to create proper products out of it. Google falls somewhere in the middle. They have great R&D but just can’t make products. It took OpenAI to show them how to do it, and the managed to catch up fast .
"They have great R&D but just can’t make products" Is this just something you repeat without thinking? It seems to be a popular sentiment here on Hacker News, but really makes no sense if you think about it. Products: Search, Gmail, Chrome, Android, Maps, Youtube, Workspace (Drive, Docs, Sheets, Calendar, Meet), Photos, Play Store, Chromebook, Pixel ... not to mention Cloud, Waymo, and Gemini ... So many widely adopt…
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I'm looking forward to buying my own slightly used 5 million square ft data centre in Texas for $1
In TX? In Russian blogosphere it is a standard staple that Trump is rushing Ukrainian peace deal to be able to move on to the set of mega-projects with Russia - oil/gas in Arctic and data centers in Russian North-West where electricity and cooling is plentiful and cheap.
Ask the owners of the leased airplanes who have been unsuccessfully trying to get their planes back for about 3 years.
A decade ago, IBM was spending enormous amounts of money to tell me stuff like "cognitive finance is here" in big screen-hogging ads on nytimes.com. They were advertising Watson, vaporware which no one talks about today. Are they bitter that someone else has actually made the AI hype take off?
Earlier quoted context omitted.
Can’t wait for all this cheap ddr5 memory and GPUs
I was looking at my Newegg orders recently. 7/18/2023 - 64GB (2 x 32GB) 288-Pin PC RAM DDR5 6000 (PC5 48000) --> $260. Now, $750+.
A decade ago, IBM was spending enormous amounts of money to tell me stuff like "cognitive finance is here" in big screen-hogging ads on nytimes.com. They were advertising Watson, vaporware which no one talks about today. Are they bitter that someone else has actually made the AI hype take off?
I don't know that I'd trust IBM when they are pitching their own stuff. But if anybody has experience with the difficulty of making money off of cutting-edge technology, it's IBM. They were early to AI, early to cloud computing, etc. And yet they failed to capture market share and grow revenues sufficiently in those areas. Cool tech demos (like the Watson Jeopardy) mimic some AI demos today (6-second videos). Yeah, i…