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Carlos Whittaker did a 7.5-week no-screen experiment and the results are wild.
No phone. No TV. No laptop. No watch. Nothing. He even got his brain scanned before and after by a neuroscientist.
The outcome? His cerebellum healed years worth of damage in just seven weeks. His cognitive memory score jumped from the 50th percentile to the 99th percentile of adult men in America. He said he felt like a completely different human, sharper, clearer, more alive.
This one stopped me in my tracks. I’ve been feeling the scroll fatigue hard lately, and hearing someone actually measure the difference with real brain scans is next-level motivating.
Our constant screen exposure might be doing more quiet damage to our brains than we realize. Sometimes the simplest reset (doing less) creates the biggest upgrade.
Have you ever done a serious digital detox? Would you try one this extreme?
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Paula123 retweetledi
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Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?
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🇮🇹🏰 A real medieval castle dating back to 1141, with ties to the Malatesta family and even mentioned in Dante’s Divine Comedy…
3,000 sqm of historic buildings on 18,000 sqm of private land, currently operating as a hotel + restaurant.
All for €2,700,000 ($3.18 million).
This is not a normal property.
(Continue in thread 👇)




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Admiral Robert Harward is GOING VIRAL
Here are BOTH CLIPS UNEDITED of the interview from 5/18 and yesterday 5/21
People are saying it is NOT HIM it is someone else WEARING a mask. To me it looks and sounds like two different people, but both are of him
Watch and tell me what do you think?
Ryan Rozbiani@RyanRozbiani
THIS STORY JUST GOT WEIRDER A clip from retired Admiral Robert Harward’s Fox News interview today is going VIRAL. He appears to be wearing a face mask on the image on the RIGHT which is the interview from today. Compare it to his appearance using the image on the LEFT from an interview from three days ago and the man looks COMPLETELY DIFFERENT. Compare the faces for yourself. My fun guess is it is Stephen Miller under the mask if it is a mask…
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Only one eyelash on and she still dropped some of the best Mexican rice secrets I’ve seen — fluffy, flavorful, and packed with those little hacks that actually work.
If you’ve ever made Mexican rice that turned out mushy, crunchy, or stuck to the bottom of the pan, this method might finally fix it for you.
She uses Jasmine rice and starts by toasting it in oil until it turns a nice golden brown. Then she adds water using a 1:3 ratio, along with tomato sauce and seasoning. After one quick stir, she covers it and doesn’t touch it again. It cooks for 10 minutes, then she turns the heat off and lets it rest covered for another 15 minutes total. The biggest rule? No lifting the lid early.
The result is perfectly cooked rice that doesn’t stick or get mushy. A lot of people apparently struggle with this because they either don’t toast the rice first or they keep peeking and stirring while it’s cooking.
I’m always here for practical kitchen tips that actually make sense. Have you ever had trouble getting Mexican rice right, or do you have a method that works well for you?
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