It’s an interesting thought experiment to wonder if we would have got here if Google News wasn’t a giant pile of summaries.
1,336 karma · joined October 26, 2011
It’s an interesting thought experiment to wonder if we would have got here if Google News wasn’t a giant pile of summaries.
If they lost the click because the article was summarised and you didn’t need to click through to read it then that’s on HN.
This is less obvious for Google news, but substantially more obvious for other search snippets (like say looking up synonyms).
The outcome is uncertain, but it should be fascinating to watch.
Perhaps in the early days, I’d understand however by now there’s a LOT of evidence to suggest that it doesn’t end well.
Google chooses this path, it’s not forced on them.
That’s the bar.
This is a solved problem - you just have to be willing to realise that magic AI sprinkles aren’t the answer.
As for cost - this continual stream of screwups is costing them a ridiculous amount of goodwill and future business. It’s probably the best ad for AWS there is.
I don’t know what your intent is but this doesn’t fill me with any confidence whatsoever.
If you took this seriously, you would wait until after you’ve met regulatory requirements to launch.
Saying you would take socialised medicine and yet prioritising actions which oppose this goal mean it’s not what you actually want and so you’ll never get it.
You’re not “getting the rich to pay” - you’re preventing the poor from accessing the drug, placing vulnerable less wealthy peoples life’s in danger because you prioritised doses for people who can pay (who would _get it anyway_ if they had a risk factor).
You’re literally trading a risk on one persons life for somebody elses money.
Not to mention the moral issue of “how many doses are set aside?”, because why not sell all of them for $25k if that’s the price you can get?
Your approach baffles me.
If you think the states should get the money, then taxes are a better approach.
Giving this to rich people does nothing to further immunity in vulnerable sectors of the population - it weakens that goal.
Why is this an important signal, given healthcare teams have already decided on a priority order?
What’s the point of outsourcing heavy lifting if the vendor is just going to surprise drop it back on your at an in opportune time?
Servers have to go somewhere - would you prefer it to be on dirty energy far away from you so it both pollutes and provides poor service?
Datacenters are rediculously efficient (bigger ones even more so) compared to alternatives.
I don't see a conflict here - I'm still using a "compiler" api, its just somewhere else (i.e. not on my local device), its just in somebodies cloud. I can't see why that would go away in the future and I don't really care where the compiler actually is (if I did, I could self host).
One would think that given there were readily available no pre-canned global responses, coupled with the fact NOBODY can predict the future, faking it/making it up is the only available option.
Not to mention, one could also think of the haphazard response as “exploring the problem space”.
Why do you think the team at the tunnel would go to such lengths and expense if there was a simple solution?
In datacenter there are good options using high availability storage arrays and vm systems. I don’t see that kube was ever meant to replace that for this workload type.
I know some have this overly simplistic idea of “one platform only”, which I don’t agree with. I see no reason not to use the correct tools as appropriate for the task at hand.
In case that wasn’t clear,
you can’t containerize an
appliance. That means you
cannot orchestrate an
appliance. That means you
cannot adopt Kubernetes if
you keep buying appliances.
Why do you need to containerise an appliance? Containerisation is useful for abstraction of hardware, but that presumes the goal of a homogenous fleet. In the cloud you don’t care and in a datacenter you separate the workload. So long as there’s an API you can poke to manage the thing, you’re fine.Likewise, you don’t need to containerise something to have kube orchestrate it. You simply need an api object and a controller which can work with that.
Also, the idea that you somehow can’t use kubernetes if you have storage appliances is just plain wrong. Perhaps it’s true that can’t do _some_ things, but the idea that you throw the whole thing out because one workload doesn’t fit seems very extreme to me (although not surprising from a company who sells a Kubernetes based solution).
Why does _everything_ need to be on Kubernetes?