Kevin Boyd (he/him) 🇨🇦"They Drank Our Milkshakes"
A post I've written about AI scraping swarms and how they negatively impact hobby developers such as myself.
https://whateverthing.com/blog/2026/03/23/they-drank-our-milkshakes/
shudder 
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@Crell "Toy/learning" was just a possible alternative to the "early" you mentioned.
For me, when matured/scaled projects also seem obfuscated by technical solutions, it's usually the moment I remove quotes from "over-engineered"
For me, when matured/scaled projects also seem obfuscated by technical solutions, it's usually the moment I remove quotes from "over-engineered"
@Crell Architectural and design decisions made in early or a toy/learning project will always look like "over-engineering"
Derick RethansI've published a new blog post: "Human Creations", on the difference in content generation by LLMs, and the creation of text, art and code by humans.
You can find it at https://derickrethans.nl/human-creations.html or at @blog
Ben Ramsey
AI6YR BenLOL this is the problem with relying on AI tools, as well...
"...His core argument: Tesla is asking humans to supervise a system that is specifically designed to make supervision feel pointless. As he puts it, an unreliable machine keeps you alert, and a perfect machine needs no oversight, but one that works almost perfectly creates a trap where drivers trust it just enough to stop paying attention.
The research backs this up. Psychologists call it the “vigilance decrement”, monitoring a nearly perfect system is boring, boredom leads to mind-wandering, and drivers need 5 to 8 seconds to mentally reengage after an automated system hands control back. But emergencies unfold faster than that...."
Sebastian Bergmann 
I tasked an AI agent with the implementation of an algorithm from a research paper. 15 minutes later: clean code, green tests, plausible visualizations. Hours later: I'm still not sure if it's correct.
What happens when AI generates code faster than you can understand the domain?
https://phpunit.expert/articles/faster-than-understanding.html?ref=mastodon
Ed Chambers - Silicon Valley
Thomas
freekmurzeđź”— AI Doesn't Reduce Work, It Intensifies It
https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it
#productivity #ai #business #burnout #work-lifebalance
https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it
#productivity #ai #business #burnout #work-lifebalance
AI Doesn’t Reduce Work—It Intensifies It
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.