Leaks and court cases showing people's finances will be a normal thing in this dystopian future of theirs That's why Opensource AI MUST WIN
ECONOMY
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Subsidized token industry ending, users still ignore local models
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How it feels to know that the subsidized token industry is coming to an end and people are still not worrying about the right thing (running the models locally on your own compute) No more free DoorDash deliveries / $5 Uber trips for you (after they got you addicted)
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Solo founder raises $30M for AI company Polsia with zero employees
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Be like Ben Cera.
— Charly Wargnier (@DataChaz) 22 mai 2026
> a solo founder who just raised $30M at a $250M valuation
> he built Polsia, an AI that can run your whole company, ENTIRELY alone
> it’s already at $10M ARR with ZERO employees
…the AI even pitched the VCs itself 🤯
UNREAL execution https://t.co/7YOGMUJRXv pic.twitter.com/Cyomlq9hvCBe like Ben Cera. > a solo founder who just raised $30M at a $250M valuation
> he built Polsia, an AI that can run your whole company, ENTIRELY alone
> it’s already at $10M ARR with ZERO employees …the AI even pitched the VCs itself UNREAL execution -
US builds AI facility in 122 days, Europe faces permit delays
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The AI divide between the United States and Europe is becoming impossible to ignore.
— Nina Schick (@NinaDSchick) 22 mai 2026
In the US, xAI built the world’s largest AI facility in just 122 days.
In France or Germany, it could take five years simply to secure the permits.
And even if Europe could build faster, power… pic.twitter.com/jo0ZPLU5OnThe AI divide between the United States and Europe is becoming impossible to ignore. In the US, xAI built the world’s largest AI facility in just 122 days. In France or Germany, it could take five years simply to secure the permits. And even if Europe could build faster, power
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AI levels margins and creates perfect competition
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No one will have margins or pricing power. AI equalizes everyone to the top of delivered quality. Competition will be fierce among companies to sign clients while they have no difference from their competitors. Pure and perfect competition.
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AI skills shortage: large corporations in crisis
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C'était le cas déjà avec les chief digital officer.
— Stephane Mallard (@StephaneMallard) 22 mai 2026
Il y a une pénurie de compétences sur l'IA.
Les meilleurs vont chez les GAFA/pure players IA/startups de deep tech.
A votre avis, il reste qui pour s'occuper de l'IA dans les grands groupes ?
Les actionnaires vont paniquer. https://t.co/kqc0uwXFKJThis was already the case with chief digital officers. There is a shortage of AI skills. The best go to GAFA/pure AI players/deep tech startups. In your opinion, who is left to handle AI in large corporations? Shareholders are going to panic.
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Model control enables labs to monopolize AI products
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And it is the model that makes it so it is the labs, as opposed to every other software vendor, can ultimately be the sole provider of products. Their post-training and their harnesses and their control over access means that they can build products that no one else can touch.
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JPMorgan’s AI push sparks fears of mass job losses
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JPMorgan’s #AI push sparks fears of mass job losses on Wall Street
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AI model quality and price evolution over time
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This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years. https://t.co/CtafQ4Gd66
— Peter Gostev (@petergostev) 21 mai 2026This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years.
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Free chatbots vs costly high-capability AI agents
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Everyone on earth will get really good chatbots for free, so thats good for democratization of AI, but really good agents that can do complex work burn thousands of times more tokens, and will be reserved for places that can afford to pay, which is bad for democratization.