141–150 of 165 posts
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I wonder if the AI summary could be legally perilous in this case
I assume it had the usual "this is AI, and thus probably bullshit" disclaimers that one finds on such things.
I hadn't ever tried Notion before but I sort of vaguely understood it was a nice way to make some documentation and wiki type content. I had a need for something like a table that I could filter that I would normally just do in Google Sheets. So I go check out Notion and their entire site is focused on AI. Look at what this agent can do, or that. I signed up and the entire signup flow is also focused on AI. Finally I…
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Speak for yourself. I've been shouting against AI from minute 1, in defense of artists and anyone else It doesn't matter. People are convinced it's a miracle technology, so I'm just a backwards luddite resisting progress
Keep at it, friend. You are not alone.
I am curious if the timing have impacted the inability to measure a benefit. AI is rolling out at the same time as widespread return to office campaigns. Remote work was widely studied and touted as improving efficiency, but no one is showing the drop for RTO. Is AI in part just balancing it out? There's also an ongoing massive brain drain. Many companies are either laying off their most tenured and competent employe…
Really companies failed to make remote work because it meant giving up a lot of middle-management power and some people realising their job means very little.
This is because they're trying to reduce the wrong headcount. The largest inefficiencies in corpo orgs lie in the ways they organize their knowledge and information stores, and in how they manage decision making. The rank and file generally have a really good grasp on their subset of the domain -- they have expertise and experience, as well as local context. Small teams, their managers -- those are the ones who actua…
I said before but in a pre-2000 world when I worked at a public company I got lectured when my employees timecards utilization were too high because you can't actually utilize people at those levels full time continuously and management wouldn't sign off on incorrect timecards. But the modern world pretends it's fine and is trying to optimize to it and it just won't work. You can't optimize out the key knowledge, and you can't keep the key knowledge and be 80% utilized doing something else.
This is all based on some ideal world that doesn't exist in reality.
This is because they're trying to reduce the wrong headcount. The largest inefficiencies in corpo orgs lie in the ways they organize their knowledge and information stores, and in how they manage decision making. The rank and file generally have a really good grasp on their subset of the domain -- they have expertise and experience, as well as local context. Small teams, their managers -- those are the ones who actua…
I think another barrier is that end users don't trust IT to not pull the rug out from under us. It's quite a bit of effort to learn and figure out workflows for actually getting work done and IT doesn't tend to give a shit about that. Particularly enterprise IT's attitude about trials can kiss my ass. Enterprise IT has their timeline, and I have my deadlines. I'll get to it when I have time. But particularly we're al…
Earlier quoted context omitted.
I think another barrier is that end users don't trust IT to not pull the rug out from under us. It's quite a bit of effort to learn and figure out workflows for actually getting work done and IT doesn't tend to give a shit about that. Particularly enterprise IT's attitude about trials can kiss my ass. Enterprise IT has their timeline, and I have my deadlines. I'll get to it when I have time. But particularly we're al…
What the above person is arguing for is this this exact thing but instead of 'security you don't need' it's now people you don't need because AI can scan an information repository and be the expert.
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The startup I work at is doing the same strategy pivot, we’re integrating AI into every feature of the platform. Every textbox or input field has the option to generate the value from AI. Feature that no one used when it was a simple form with a button can now be done through our chatbot. We have two key product metrics for the entire company and one of them is how many AI tokens our users are generating.
AI tokens that you pay for?
This is because they're trying to reduce the wrong headcount. The largest inefficiencies in corpo orgs lie in the ways they organize their knowledge and information stores, and in how they manage decision making. The rank and file generally have a really good grasp on their subset of the domain -- they have expertise and experience, as well as local context. Small teams, their managers -- those are the ones who actua…
I worked in tech support at a big company long ago. Tech support, sales, and engineering used to have a week (for each employee) where we would leave our team and follow the other team around.
It provided incredible efficiency. I now knew what sales was talking about when they called me, they understood how I worked, engineering and I got along so well they used to invite me to their team when they had lunch catered.
Who didn't we need anymore? The middle managers between the groups who brokered what info each group could see, and how we communicated among groups. We solved problems before they started all on our own.
The middle managers won in the end, ending the cross training, too costly they said, but I think they realized that we just didn't need them / weren't engaging them anymore...
> while quoting an HR executive at a Fortune 100 company griping: "All of these copilots are supposed to make work more efficient with fewer people, but my business leaders are also saying they can't reduce head count yet." I'm surprised McKinsey convinced someone to say the quiet part out loud
I find it all quite strange: - AI companies of course will try and sell you that you can reduce headcount with AI - CEO's will parrot this talking point without ever talking a closer look. - Everyone lower down on the org chart minus the engineers are wondering why the change hasn't started yet. - Meanwhile engineers are ripping their hair out cause they know that AI in it's current state will likely not replace any…