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Discussion (28 Comments)Read Original on HackerNews
Where I work, information is spread over a lot of different systems: Slack, Confluence, DevOps, SharePoint, a separate support/ticketing system. It's easier and less time consuming for me, following my current process, to write descriptions, acceptance criteria, and release notes from source material, and then just get AI to tweak the wording a bit, than it is to compile it all into a single "unit" for AI to then do each stage individually as a first pass.
If our documentation was more centralised / organised on a single system, then it would work much better. But that migration ain't never gonna happen in a reasonable time frame.
I'm working on an ideas or two to compile things temporarily, but that also takes additional time.
All these things take time and planning, which is rarely factored in. Just do it! Just use AI!
I should also point out that I know a teacher who uses it to greatly improve productivity in writing reports: Give it the main points that should be made about a child's learning, then let the AI write the words that join those bits together. The results have apparently been great, and has taken a fair bit of stress out of the report writing process.
Unfortunately the current admin is pro-oligarchy so expect things to worsen in the immediate future
Is this really a function of capitalism or just who humans really are in general? That is to say humans are self interested and desire to maximise their own wealth.
"They’re reporting feelings, not findings." "That’s not measurement. That’s decoration."
but it might be, say, 20% more productive in 20% of your workday, or 1000% more productive 2 days per month (the days when that perfect dream spec hits your desk that you can just paste into claude and get a slick working system back), which works out to just 4% more productive overall, or whatever, which is hard to measure with all the noise.
in the end companies will pay for these tools because their employees will be demanding them, same as they demand other things that make their workday more pleasant - email, coffee, air conditioning, a conveniently located office, etc.
that said, I see the intelligence itself being rapidly commodified/free. the companies that extract rent in the sector will be the ones that effectively bundle and sell corporate-friendly features with the core intelligence - compliance, tracking, productivity, systems integration, authentication, etc. etc. etc. Which is a competency companies like Salesforce, Microsoft, Google already possess, so they are likely to win. Plus a weird Euro variant of course.
If you use AI to ship more features, even your competitors are going to use AI to ship more.
So is this how we increase productivity?
Who captures the value? For now looks like the chip makers and model makers.
Of course I acknowledge if Hersheys uses AI to make trillions of chocolates a second, there is an upper limit on consumption. And hence a limit on revenue.
You need to keep up if you follow Silicon Valley business model growth + funding = IPO. Every other business in the world needs revenue and profit to keep the business open, and growth does not necessarily translates into revenue and profit.
Also, to say it changed nothing is humorous, tell that to all the people laid off.
I would argue this extends to most white collar positions. It's not simple to solve.
https://en.wikipedia.org/wiki/Productivity_paradox
C’mon. Stop wishing for a future that feels convenient. This is not the world in which we live. Everything will change. Let’s help people accept and react to that.Let’s stop with the comfort talking and false hope.
This is honestly how I feel about the opposite, it sure would be convenient for capital holders if everything changed and they no longer need to pay employees. They really, really want this to be true, and are pushing it as hard as they can despite reality.
people still were using punch cards when tape was invented, and still using tape when floppy’s were invented
and those were relatively small innovations not requiring substantial changes to the work. AI is another ballgame, this makes me more bullish on it than ever.
However, there are startups that have bet on the wrong technologies and perished, which is not addressed. This is survivorship bias. So if we’re going to have a serious discussion, we need to talk about both sides before anybody should get convinced about being bullish on it.
If you really believe that then… lol.