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- Hacker News
- yesby claudiug
- I think this makes up for an interesting question.
my interpretation is similar to mitchell's that there are influential people within tech (jobs,influencers and just about anything) who are genuinely and utterly convinced with AI psychosis.
If you create a non-deterministic tech that is so powerful to psychosis people (who well should know better) then, it creates for problems down the line and you are just a side-effect of that. Especially, lately it seems that most AI is directed towards investors and not consumers (There is HN post trending about it essentially)
So well, you are just side-product of a larger psychosis. I believe that the tech is cool and it has genuine use-cases and many things but there has to be nuanced opinions about it but we as humans are similar to computers in this one thing that we want either 1 and 0 and can't capture this particular nuance perhaps.
- I don’t think we used to be this way. I think the binary aspect of modern discourse was designed. A lot of arguments are reduced to us v them. It is as if holding two simultaneous opinions is now a bag thing.
Politicians used to rely on facts. On evidence. Colbert, like him or not, hit the nail on the head over a decade ago: “We live in a post-truth world.”
Maybe it’s a side effect of modern media platforms. You either like or dislike. If you don’t do either… do you even exist?
The tribalism has been pushed to an incredible level. You can’t agree with part of someone’s discourse. You either fully agree or fully disagree with them.
by slau - Something I'm seeing is good organisations doing good things, bad organisations getting worse and average organisations mostly staying flat or trending down. This is happening across multiple domains, not just an IT-centric thing.
What I'm putting it down to is the general culture/strategy of the organisation as opposed to the tools. It just so happens that tech is enabling you to accelerate whatever trajectory you were already on.
Note: This is my observation, working mostly in supply chains, at the bottom end of the earth. YMMV.
by brian-m - it's definitely vibe coding pushing half-backed llm code strait to prod without proper feature flags or automated rollbacks. Everyone is shipping faster but the guardrails just aren't there yetby Jlepo
- I'm just dipping my toes into AI. What prospective guardrails are being considered or used?by devilsdata
- I've been working in banking/finance IT for the past 12 years and yes! The screwups in hyper complex systems tend to become less frequent but far more serious in their impact due to concentration to a few data centres and a handful of hyperscalers. A third-party vendor of AWS deploys a wrong IP list - boom! Half the street in a local financial hub is unreachable, across mutliple companies and industries.by hash0
- If you push systems to failure by squeezing workers, continually rolling layoffs, and disregarding quality (because consumers are sticky and will put up with a lot, especially if there are no other options), systems eventually fail. Money is expensive now [1], labor supply will decline into the future [2], its a fight for profits and growth versus labor in an unfavorable macro. "Productivity."
(also seeing similar failures, both as a consumer and inside clients pushing their organizations as systems to failure, "how few people or inexpensive talent can we operate this business with?")
[1] https://fred.stlouisfed.org/series/FEDFUNDS
[2] https://news.ycombinator.com/item?id=47680794 (citations)
by toomuchtodo