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When I am getting to the point where I have to start micromanaging them, I first question whether the task is worth the pain of having to deal with their fumblings. In many (but not all) cases it is not worth the pain, and I stop using them and do the work myself. Working with agents should not be a mandatory aspect of a workflow as it becomes a hindrance more than a helper.

Good points

I'm flagging this one because the whole article is sensationalised without evidence or even pretending to objectivity.

How is it "without evidence"? I can find plenty more articles about the same thing and no doubt whatsoever as to the veracity.

It's not glamorous or punchy, I've often seen teams spin up k8s infrastructure to run a few containers, and spending more time maintaining and patching the infrastructure than getting useful work done. We moved then onto lambdas and... everything got better.

If your developers weren't looking at dashboards before, they won't use a chat interface to interrogate it either. That doesn't really bring it to them any more than their existing capabilities. There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.

My underlying assumption is that this is a content marketing piece to show managers / investors that "we are doing/thinking something in ai as a company"

> There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.

I first hand saw in, AWS devDays, an AI giving SIWINCH as "root-cause" of Apache error in a containerized process is in EKS for a backend FCGI process connection error. It has been extremely hard since that demo to trust any AI for system level debugging.


If we were smart we'd use AI to grok a system in order to help us reduce its complexity. I don't think we're anywhere close to even being able to provide all the necessary context to solve problems like this.

(1) when was that? If it was less < 6months ago, the current gen of models is noticeably better

(2) AWS is not a leader, if even a contender, in the AI space. I would not evaluate the potential based on a demo they produced


It has been transformative for the insidious kind of lock-in that the post mentions.

Neither of the entities they've mentioned represent the professions you've mentioned.

Yes they do.

I feel the author could have applied the declutter tool to their readme.

Or perhaps the LLM should have known to do that.


what about it would you change, specific feedback is welcome * remove emoji ? * layout much better

I am dyslexic so have a hard time arranging things, so I gave the basic idea and the AI generated the README


Even on idevices, just works is more marketing and mental gymnastics than reality.

Not far off though. My mum's been on iphone for a decade and I don't think there have been issues with it not working. There are issues with figuring out how to work it though and Apples magic hidden gestures and the like.

I have and it isn't. The YMMV with LLMs isn't a great place to be.

The necessity we have for infinite unsustainable growth will always result in unsafe social media. Safe social media requires altruistic and benevolent intentions.

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