PolicyPage
38 posts

PolicyPage
@policypage
Legislative briefs, so you can do the talking. Three free, no card.
Katılım Mayıs 2026
37 Takip Edilen2 Takipçiler
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@lukeharries Have you seen those robots that box each other? Pretty entertaining.
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Google will soon unleash a wealth of new artificial intelligence-powered tools and systems, including an AI assistant that will help users by proactively performing tasks on their behalf.
Read more: abcnews.link/Zru9AXf
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@chucktodd It’s all about people, who is attracting the best and the brightest to grow?
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And one of the A.I. companies that seem huge and unstoppable at the moment will become AOL. Which one?
Jon Erlichman@JonErlichman
On this day in 1985: AOL founded. It was once worth more than Nvidia, Apple, Amazon, Starbucks, Adobe, Costco, Disney and McDonald’s combined.
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@CACandChill You just don’t see it. Google depends on ads, they’ll figure out how to make money of anything with AI.
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@0xSero We have to be able to produce hardware that can act upon all this software that’s been built in the past 20+ years!
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@Jayyanginspires Just don’t swipe up on a video and you’re golden
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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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@VraserX Nope life would get boring. It’s like when you do the infinite money glitch in any video game (I guess it’s not as common anymore). It gets boring when you have everything you can imagine.
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@Polymarket Not a crazy concept. Hiring a team to analyze a niche problem for tens of thousands of dollars is behind us. An army of agents would cost a fraction of the price. This will unfortunately decimate the entry level consulting profession. Where will college grads start?
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Last year I asked Connie Chan to resign for her role in making San Francisco unsafe for Asian Americans
This year she somehow got the endorsement from Pelosi
Make it make sense. You can’t.
Sara Libby@SaraLibby
BREAKING: Nancy Pelosi is endorsing Connie Chan in the race to replace her in Congress. sfchronicle.com/politics/joega…
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