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Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It.

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philb2

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https://www.nytimes.com/2026/06/18/...1933&user_id=c383821527c441214d07ce6e4a6ba12a

Meta told employees last week that it would soon limit A.I. use after seeing an “exponential increase” in costs. In May, Uber said it had blown through its projected A.I. spending for the year in just four months, and it has placed some monthly limits on A.I. coding tools. Walmart also set limits for different A.I. tools. And Amazon and Meta have taken down the tokenmaxxing leaderboards.

In other words, “tokenminning,” short for “token minimizing,” is now in.
The reversal, within just a few months, underlines how A.I. use remains in flux as people try to figure out how to best use the tools.


A simple task, like asking A.I. to summarize the transcript from a company meeting, may use a few hundred tokens. More complex requests, like writing code to build a new product or feature, can use tens of thousands.

​

“There’s an ebb and flow,” he said. “What we do find is that, for most use cases, the latest greatest frontier model isn’t needed.”
 
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philb2 said:
In other words, “tokenminning,” short for “token minimizing,” is now in.
Click to expand...
This seems nearly as retarded as tokenmaxxing.

This isn't exactly groundbreaking but I predict an increase in usage of LLMs. I already find Gemma 4 to be reasonably useful.

Edit: hopefully everyone realizes I meant local LLMs.
 
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1_rick said:
This seems nearly as retarded as tokenmaxxing.

This isn't exactly groundbreaking but I predict an increase in usage of LLMs. I already find Gemma 4 to be reasonably useful.
Click to expand...

The problem is they were forcing high useage thinking it would lead to massive jumps in efficiency. When that didn't materialize they realized that the costs were going to be a big problem so they're now trying to reign people in until they can figure out how to actually realize the big efficiency jump they thought they were going to get. I sweat it seems like they thought they could just throw LLM at everything with no plan and that it would all just work out fine. Now that they realize they might actually need a business-level plan they're reigning things in until they can figure out how to implement stuff.

I mean, yeah, giving your employees carte blanche to all figure it out on their own? That couldn't possibly go wrong, could it. Idiots.

Yes, AI can be useful but spending a fortune on it without realizing gains was always a dumb-ass plan.
 
Ididar said:
it seems like they thought they could just throw LLM at everything with no plan and that it would all just work out fine.
Click to expand...
Sounds like upper-level leadership at most institutions. They have a "vision" (which is mostly copying whatever fad piqued their interest), then people who actually do the work get stuck trying to make the best of the suboptimal situation. Shit never changes.
 
good...I'm sick of seeing every job listing having AI plastered all over it....

maybe they will learn one day to let fads ride to see if they actually gain the foothold the "experts" are saying it will.
 
A.I. is basically an employee that constantly tells you they deserve more money. Even for doing the same work. Historically companies don’t like hiring too many of these types. But somebody was brilliant enough to convince many companies that most employees needed to be this.
 
westrock2000 said:
A.I. is basically an employee that constantly tells you they deserve more money. Even for doing the same work. Historically companies don’t like hiring too many of these types. But somebody was brilliant enough to convince many companies that most employees needed to be this.
Click to expand...
The non salaried contact employee who charges by the effort. And the cost of some some efforts will surprise you.
 
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