Same. Last week, my boss, Chief Data and Analytics Officer, dumped an AI-generated proposal (~7 pages) on how to structure semantic layer on top of our dbt models. As the Data Engineering lead, I had to read it and found a few glaring issues; left a lot of comments asking him for details where it's lacking; and proposed a few of my ideas (the path I think we should take without over complicating everything unnecessarily--esp. in the beginning).
Yesterday, one of my coworkers (Senior Dir. of Research Ops) shared with me another obviously AI-generated 5 page draft of an SOP on how to reintegrate old metrics (in the legacy SQL Server environment) into the Azure SQL while keeping everything running smoothly. She's not the most technical person, so it obviously is reflected in the doc generated.
I think we will all become AI-output-reviewers eventually. Not sure how long I can keep doing this though because the volume of materials that need reviewing seems to be growing really quickly these days....
Starting to wonder that we’re going to start being forced to execute on an AI output instead of sharing it with other people. If you can reason yourself into a working system, you know what you’re talking about. If not, then it’s not worth taking the time to figure it out.
That’s not much better in my experience, from a human perspective. You inherit a system that someone designed a decade ago and all the original maintainers are long gone. One is then afraid to change anything, because of ancient landmarks and all that. But now we can actually start to piece together how these things work with AI.
Yes, for legacy--production systems--it's totally useful to generate a high-level overview, surround an unfamiliar feature with tests, and build small harnesses that exercise real functionality.
The sooner one can find an entrypoint, the sooner one can contribute with changes.
the middle manager class. The people whose job is to make other people do work. The people who fought against work from home because it devalued their contributions to an organization. The people most likely to be replaced by AI because they're not the capitalist owner and their not a individual contributor. They're the ones who lick the boot because they dont have to worry about who it's going to stomp on. They're the ones lubing up fascism, and telling us we're all overeacting.
This seems needlessly dismissive. The management revolution in the 20th century built the companies that innovated and built the economic middle class. It's a common trope to hate on middle managers, and not all middle-managers are good middle-managers, but they do play an important role in organizations.
People will either get used to it, or we’ll start seeing automated replies like “This text was automatically generated and has not been reviewed before being sent. It’s AI garbage and I refuse to read it. Do it again. And do it better.”
It feels like a new age version of “that which can be asserted without evidence can be dismissed without evidence.” Basically, “that which can be sent without thought can be responded to without thought.”
If you want to be insulting about it, use a locally hosted "small" AI (under 6GB size on disk GGUF file, Q4 quantized or worse, so quite "stupid"), set to a high temperature value, no thinking mode, with a system prompt instructing it to fire off a rapid response in an absurdist writing style.
I also use this strategy of mutually assured AI slop, with a no-first-use policy. I'll happily respond to AI slop PRs with AI slop code reviews / comments.
I have found using an llm to compress the information instead instead of reading it directly saves time. It's potentially lossy but it's not like the slop you got is going to lose much value by compressing it.
Yesterday, one of my coworkers (Senior Dir. of Research Ops) shared with me another obviously AI-generated 5 page draft of an SOP on how to reintegrate old metrics (in the legacy SQL Server environment) into the Azure SQL while keeping everything running smoothly. She's not the most technical person, so it obviously is reflected in the doc generated.
I think we will all become AI-output-reviewers eventually. Not sure how long I can keep doing this though because the volume of materials that need reviewing seems to be growing really quickly these days....