From "AI promised to free up workers’ time. UC Berkeley Haas researchers found the opposite" (UC Berkeley Haas News).
८ मार्च, २०२६
With AI — "First, people began taking on work that previously would have belonged to someone else or might not have been attempted at all."
"The scope of what counted as 'my job' widened. Second, because AI makes it easy to start and continue tasks, work seeped into moments that used to function as pauses. People would send prompts during lunch, before meetings, or in the evening when an idea came to mind. This dissolved some of the natural stopping points in the workday. Third, workers increasingly kept multiple threads alive at once. They would run AI processes in the background while reviewing code, drafting documents, or attending meetings. Some even ran multiple AI agents simultaneously. This created a rhythm where both the human and the machine were constantly in motion.... What surprised me most was the contrast between how people described their moment-to-moment engagement and how they described their overall experience. In micro moments of prompting, iterating, and experimenting, people talked about momentum and a sense of expanded capability. But when they stepped back and reflected on their broader work experience, a different tone sometimes emerged. They described feeling busier, more stretched, or less able to fully disconnect...."
Tags:
A.I.,
labor,
paying attention,
things that won't work

४३ टिप्पण्या:
Like any other technology, first it shortens your workday. Then as everyone realizes one person can do more work, it reduces your workforce. Water-powered looms didn't result in cottage wives turning them on for an hour and putting their feet up the rest of the day. CC, JSM
So AI has also replaced fiddling with the margins on your spreadsheet and changing the backgrounds in your Powerpoint ...
Using AI without understanding a technical domain = becoming an unwitting victim of puns, homonyms, and double meanings = welcome to Idiocracy. Lazy humans stop right there, concluding that plants should be sprayed with Brawndo rather than water, as the toilet is full of water.
AI remains the world's best intern. It's ultra fast in completing the rote work of pulling records and roughing out "some" obvious options, but it leaves the hard fact checking and confirmation to humans. Human quality control = exhausting reworking of AI.
Turns out that we use AI to target our weapons, with predictable results.
AI makes people lazy and careless.
Work expands to fill the available time.
So happy my working life is over, and I can just teach taekwon-do to kids. I make dozens of dollars a week!
Thats not AIs fault, its the workers
Anthropogenic Intelligence (AI) embraces the calculator and forgets how to count.
Researchers discovered that decades ago. Remember all that laughing we did at The Jetsons? Everyone knew future technology would create more leisure time when all it does is raise the bar for the acceptable level of productivity.
With the invention of the Viterbi decoder, a prelude to LLMs, modern humans spend more time and energy decoding nits, twits and tik toks.
If I remember correctly, it was Napoleon Chagnon who taught the world that it was the Yanomamö who constructed the world's first plain language interactive computing device using strips of tree bark, petrified eyeballs, and a thick fermented porridge containing menstrual blood and semen.
There's a big difference between using AI for amusement or minor office tasks and using it to design and develop systems and automated processes. I happen to do this professionally. In my experience, AI is the most profound and consequential technology developed in my lifetime. What used to take weeks, months, or longer is now being done in minutes or hours. My interaction with the AI model is like an extended session with an entire team of highly skilled professionals, with back-and-forth questions, suggestions, strategy options, and ultimately, a completed prototype ready for testing in minutes. An enhanced, ready-to-use operational version in hours.
And the level of intelligence of these models is increasing rapidly. I can see already the massive impact it's going to have on every field of endeavor.
AI is just going to widen the gap between humans with capability and humans without capability.
There are different levels of usage. Right now most people are using AI models like they used to use google or to write papers for them.
Coding is solved. AI writes better code now than we do. We have to learn how to prompt and how to verify output.
We also need to learn how to interface with the technology. The LLM technology uses text and words to act as the bridge between biological and electronic.
I am building my own markdown version of that interface. How do I complete a project? How do I divide a project into tasks? How do I choose which tasks to do in which order? How do I verify a task is complete? How do I verify a new feature works properly?
These are all questions that we used to ask when we handed work off to junior coders and engineers. Putting the answers to these questions down in a linked and tagged markdown format will at the very least make me understand those processes better, but the goal is to start running multiple parallel processes in the electronic background and build a context window that allows my biological attention to focus more efficiently on each process as I work through it.
Time saving technology ended with the washing machine. Everything since is a mirage.
leaf blower is pretty good except for the incessant noise
The war will be over by April 1, 2026.
April Fools Day?
“The war will be over by April 1, 2026.”
Too many wars - and that’s just in the comment section.
Of course, powerful new tools cause some people to noodle excessively with them and thereby "work" overtime. I remember the early 80's getting lost inside a Tektronix graphic workstation endlessly manipulating numerical model output. Next, I got stuck in a deep Time Warp learning AutoCad spending way more time than I needed trying out all sorts of options. Later, as the PC became more powerful, all the prognosticators talked about the paperless office while our paper consumption skyrocketed for a decade until Adobe Acrobat and the PCs became powerful enough and reliable for creating electronic documents.
Of course people are working long hours playing with the AI not really knowing how to efficiently and effectively use the tool to increase bottom line productivity.
Pretty soon the Iranian government is going to run out of people who will agree to be the next Supreme Leader.
The problem:
"Let her roll!"
The solution, according to Ye:
When we talk about building an “AI practice,” we mean being intentional about the rhythm and boundaries of AI-enabled work rather than simply accelerating because the technology makes it possible. In practical terms, that might include building in intentional pauses—brief, structured moments before major decisions to surface a counterargument or explicitly link a choice to organizational goals, so speed doesn’t crowd out reflection. It also involves sequencing: instead of reacting to every AI-generated output as soon as it appears, teams can batch non-urgent updates, protect focus windows, and let work move forward in coherent phases rather than in a constant state of interruption. And finally, it requires human grounding, such as protecting time for check-ins, shared reflection, and dialogue, so work doesn’t become entirely solo and tool-mediated. The intention is not to slow innovation, but to ensure that productivity gains remain aligned, thoughtful, and sustainable over time.
I have been doing it work ( minor work, I have technician partners to do the hard stuff ) for a while. With the assistance of AI I just troubleshot a raid system problem and recreated that raid. All beyond my knowledge before. I could have researched and learned how to do it but it would have taken days actually with my limited ba width. Did it in a few hours with back and forth conversations with grok. Amazing really.
Economists have long understood that "labor-saving" technology doesn't reduce how much we work, it just changes what we do and increases how much we produce. This goes back to the plow, the loom, the cotton gin, electrification, the microprocessor, and now AI.
I was told that the invention of the internet was going to be an incredible advance in the efficiency and intelligence of all the people the world, and now just look at us.
Economists have understood that. Economists…
One handed economists
https://open.substack.com/pub/coffeeandcovid/p/gentlemens-agreements-sunday-march?
"AI promised to free up workers’ time. UC Berkeley Haas researchers found the opposite"
The point isn’t to free up workers’ time so they feel freer. It’s to free up their time so they can do more work.
Ezra Klein: "Having AI summarize a book or paper for me is a disaster.
"It has no idea what I really wanted to know and wouldn't have made the connections I would've made. I'm interested in the thing I will see that other people wouldn't have seen, and I think AI typically sees what everybody else would see.
"I'm not saying that AI can't be useful, but I'm pretty against shortcuts."
Apparently Ezra's prompts aren't coming back with Trump as the root of all evil in the world.
A new Pew study found that 20% of teens in households earning under $30,000 do all or most of their schoolwork using AI chatbots. That’s nearly triple the 7% rate among teens in households over $75,000.
https://www.pewresearch.org/internet/2026/02/24/demographic-differences-in-how-teens-use-and-view-ai/?utm_source=ActiveCampaign&utm_medium=email&utm_content=The%20Synapse%3A%2055%20%20less%20brain%20activity%20%28what%20ChatGPT%20does%20to%20your%20neurons%29&utm_campaign=ALS%20%28Split%29%20%28Copy%29
In June 2025, MIT Media Lab researchers posted a preprint paper titled ‘Your Brain on ChatGPT’
As part of the research, 54 college students wrote essays using either ChatGPT, Google, or nothing (just their brains) while wearing EEG caps measuring neural activity.
The ‘brain-only’ group showed the strongest neural connectivity.
The ChatGPT group showed up to 55% less.
And 83% of the ChatGPT users couldn't quote a single sentence from the essay they'd just written.
The lead researcher coined the term ‘cognitive debt’: short-term efficiency gains that accumulate to long-term cognitive costs.
Eleanor Maguire's London taxi driver studies are the most elegant proof our brain operates on one foundational rule: use it or lose it. Drivers who memorized London's streets grew measurably larger hippocampi (the part of your brain largely responsible for memory and learning).
When those cabbies retired, the growth reversed. The brain literally shrank back.
Research on GPS usage tells the same story: heavy lifetime reliance correlates with measurable declines in spatial memory and hippocampal navigation.
Work expands to fill the time allotted to complete it. Also, if you finish early, more work is always available. So timesavers, when introduced, logically produce more work.
stunned said...
In June 2025, MIT Media Lab researchers posted a preprint paper titled ‘Your Brain on ChatGPT’
As part of the research, 54 college students wrote essays using either ChatGPT, Google, or nothing (just their brains) while wearing EEG caps measuring neural activity.
The ‘brain-only’ group showed the strongest neural connectivity.
The ChatGPT group showed up to 55% less.
And 83% of the ChatGPT users couldn't quote a single sentence from the essay they'd just written.
The lead researcher coined the term ‘cognitive debt’: short-term efficiency gains that accumulate to long-term cognitive costs.
99.9+% of people are going to use AGI this way. They will use it as a crutch to cover inadequacies and lack of effort. It will have the same effect as low gravity does on the human body.
Focusing on this is a coping mechanism.
A small number of people will use it as an interface to magnify their time and create parallel productivity streams. What is coming is really impossible to predict.
I would put it this way: When people can earn more because they are more productive, they prefer to work more or less the same amount and take the higher income, rather than cut their hours and earn the same as before.
“Ezra Klein: "Having AI summarize a book or paper for me is a disaster.
"It has no idea what I really wanted to know and wouldn't have made the connections I would've made. I'm interested in the thing I will see that other people wouldn't have seen, and I think AI typically sees what everybody else would see.”
But without AI you wouldn’t know what everybody else would see, so you wouldn’t know what to see that would make you special.
Planetgeo: I fully agree with your sentiment. I now have the capability and capacity to compete projects I could not have reasonably done by myself even a year ago. My one big concern is that right now we have people employing these tools with a background in solving the problems without AI assistance. What happens after we retire and our replacements have not had the years and decades of developing those technical chops? Not an insurmountable problem, but one to keep in mind as automation spreads.
Also, AI use via chat interface is like trying to swim with no arms and one leg. Agents, sub-agents, agent teams, well written hooks and plug-ins... take the time to set things up correctly and the quality and speed of output can be outstanding (contrary to some comments in this thread).
Frankly, poor generative AI outcome is more and more having to do with poor instructions tasking from the schmuck in the chair rather than model failure.
“In June 2025, MIT Media Lab researchers posted a preprint paper titled ‘Your Brain on ChatGPT’
As part of the research, 54 college students wrote essays using either ChatGPT, Google, or nothing (just their brains) while wearing EEG caps measuring neural activity.
The ‘brain-only’ group showed the strongest neural connectivity.
The ChatGPT group showed up to 55% less.
And 83% of the ChatGPT users couldn't quote a single sentence from the essay they'd just written.
The lead researcher coined the term ‘cognitive debt’: short-term efficiency gains that accumulate to long-term cognitive costs.
Hee…it’s so ironic that using AI to write degrades people’s brains. Plato saw the same problem with writing itself:
“And so it is that you by reason of your tender regard for the writing that is your offspring have declared the very opposite of its true effect. If men learn this, it will implant forgetfulness in their souls. They will cease to exercise memory because they rely on that which is written, calling things to remembrance no longer from within themselves, but by means of external marks.” Plato, “Phaedrus”.
"Plato saw the same problem with writing itself"
Fortunately Plato (unlike Socrates) didn't live by that. But so much of ancient literature and wisdom was transmitted orally, if only because of the scarcity of parchment: Homer, much if not all of the Hebrew Bible. Those ancients had to have prodigious memory skills.
they should call it Lethe, as it induces forgefullness
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