I find AWS extremely difficult to use compared to GCP. Even though we received startup credits—which are essentially free money—we’re letting them go to waste because the platform is so much harder to work with.
It’s no surprise that AWS’s revenue growth is lagging behind GCP and Azure.
Beyond the AI talent gap, Amazon seems to be making serious missteps in its own core business.
It reminds me of Apple. At first, people thought Apple was being strategic by staying out of the AI race and waiting to pick the winner. But in reality, it turned out to be an inability to adapt to the new trend. I expect the same pattern from Amazon.
Market disruption is the key difference. We now know how CPU operate and it's almost taken as a commodity.
Before Telsa, nobody thoughts electric cars were ready for road. Before SpaceX, I don't think anyone tried reusable rocket thingy. The thing is when you come up with a radically new idea, you have to know enough about it to convince others to work on it.
Steve Jobs knew enough about computer(and general idea of programming) to sell it, and Bill Gates was once a good programmer. Intel, nVidia founder were also chip engineers.
4-member family house rent/buy ratio in Korea is really high because of its unique Jeonse system: https://en.wikipedia.org/wiki/Jeonse Nobody rents 4 member family house because rent is more than mortgage.
On the other hand, bachelor studio is rather cheap even in the downtown Seoul(like 1k USD per month at most)
Jeonse system is unique in Korea and it really weird. It took me a few years to understand it and it shouldn't really work anymore because the housing price has stabilized in last 4 decades or so.
The point being, any of these commentors here who haven't heard of Jeonse, they don't know anything about housing in South Korea.
Reading the actual study, it does seem their rank for "top 5% polluting" is total emissions. They do calculate relative intensity, as you say. But the ranking for plants with greatest emissions was done without regard for capacity.
Also, the "73%" reduction would only be for GHG's from electricity-generation, not all sources.
I mean, obviously coal is a pretty awful fuel from an environmental standpoint and it's good to quantify these things. Just reading these are hard when the authors didn't necessarily make 100% clear the last few tables.
If Google jacks up the price of TPU or terminate the TPU usage because they don't like you, you're screwed. It's quite a high risk for commercial product companies.
I'm guessing like a lot of reposts, it was deemed more relevant now, especially the GitHub Copilot-esque "from bs4 import BeautifulSoup as BS" prompt that the commenter alleged to have emitted plausible python: https://news.ycombinator.com/item?id=27447557
I will admit, I'm especially impressed that it caught the "as BS" part in its code generation -- then again, it's entirely possible that a lot of code examples do that, so maybe a more stunning result would be "as BSOUP" and see if it still generates plausible code
what i understand from a completely armchair perspective, is that this kind of context-holding is THE feature of this wave of ai models, which is what similarly allows it to generate paragraphs of prose seemingly out of whole cloth, tracking what it's talking about as it rambles along. the output seems (with occasional glaring issues) remarkably cohesive and realistic, given that it has nothing original to say. I picture it as taking sentence structure it's seen before, and narrative structure it's seen before, and topics it's seen before, mixing them all up, and putting them back together like multidimensional legos- from this perspective, processing the 'import as' lego seems to fit right in.
The whole concept is fascinating, and i'm immensely relieved that we seem to have such a competitive open-source implementation of this nightmare
It’s no surprise that AWS’s revenue growth is lagging behind GCP and Azure.
Beyond the AI talent gap, Amazon seems to be making serious missteps in its own core business.
It reminds me of Apple. At first, people thought Apple was being strategic by staying out of the AI race and waiting to pick the winner. But in reality, it turned out to be an inability to adapt to the new trend. I expect the same pattern from Amazon.