tirumaraiselvan

> Tier 3 incidents: Novel, complex, cascading failures stay human-led, with AI providing supporting context.

> But here’s the catch.

> If human SREs (okay, now we have to use adjectives like human ) only engage with Tier 3 incidents, i.e. the novel, never-before-seen outages, where do they build the intuition to handle them?

How did they do this before AI? I have done a bunch of complex production level debugging and these Tier 3 incidents are always "starting from scratch" never seen before issues. The main "intuition" I built is persistence and verifying/refuting random hypothesis. In other words, I think we can build an intuition for Tier 3 issues only by engaging with Tier 3 issues.

Although, psychologically, some success in T1 and T2 issues is what gives us the confidence to even approach the T3 issues.

The fact that this question is getting a due regard now, then before AI, shows that all we care about from education is getting a job that pays. And we are worried that jobs are being taken away by AI.

Otherwise this question should bother a parent in every generation.

It also leaves the part of reviewing the code (which I have realised is really quite different skillset from writing code - it needs a sense of something is fishy here or why is this even here or can't this look better).

It may be obvious to conclude that good programmers are good reviewers but I think all variations exist. I wonder how many people don't like their jobs anymore because they don't like reviewing code written by AI.

I think summary is:

1. Paper has not been replaced by any tech because its form still has unique use-cases

2. AI is stuck in "chat" form and not all use-cases can be solved with chat.

Hence "AI will never replace paper" ..... well anything can happen really isn't it? 1 and 2 are quite independent statements.

Out of curiosity, which tool do you recommend?

I am the OP. I added some text while submitting so people know who the author is. Not AI generated.

But the real irony is that even the author points that their authentic work is under constant suspicion because "what if this is AI" has prevaded everyone's consciousness.

Brilliant piece by Booker Prize winning author, Arundhati Roy. She manages to lay bare the entire global politics of AI, starting with the seemingly inconsequentual em-dash.