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ChatGPT
Microsoft Copilot
Google Gemini
Perplexity
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Framer
Durable
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Runway
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Mutual Info
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Gamma
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Adobe Sensei
Personal AI
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Typefully
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Tweet Hunter
Taplio
π‘ Pro Tip:
You donβt need hundreds of tools.
Master just 3β5 AI tools that fit your workflow, and you'll outperform people using 30+ tools randomly.
π Save this list for future projects.
Follow @Shohan_Tech_AI for practical AI tools, automation tips, and productivity hacks that actually save time. β‘π€
"CapCut Design Studioβs latest upgrade is a true game-changer, transforming AI from a simple βgenerate-and-goβ tool into a fully immersive creative ecosystem.
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Anthropic just crossed a line few Al companies ever reach.
The Claude maker raised $65B in new funding, pushing its valuation to $965B and overtaking OpenAl as the world's most valuable Al startup.
That is not just a funding round.
That is a signal.
Investors are betting that Claude can become core infrastructure for the next generation of work, coding, research, automation, and enterprise Al.
The money will go toward two things that now define the Al race:
more compute
deeper safety research
The real battle is no longer just who builds the smartest chatbot.
It is who can build the most trusted Al system at global scale.
Is Anthropic now leading the Al race?
#AI #Anthropic #Claude #OpenAl #ArtificialIntelligence #TechNews
@m13v_ Agreed. That's the key distinction: tools help you work, agents do the work. The winner won't be the app with the most features, but the agent that can reliably complete end-to-end tasks across the entire stack.
Anthropic just crossed a line few Al companies ever reach.
The Claude maker raised $65B in new funding, pushing its valuation to $965B and overtaking OpenAl as the world's most valuable Al startup.
That is not just a funding round.
That is a signal.
Investors are betting that Claude can become core infrastructure for the next generation of work, coding, research, automation, and enterprise Al.
The money will go toward two things that now define the Al race:
more compute
deeper safety research
The real battle is no longer just who builds the smartest chatbot.
It is who can build the most trusted Al system at global scale.
Is Anthropic now leading the Al race?
#AI #Anthropic #Claude #OpenAl #ArtificialIntelligence #TechNews
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π Premium Tech Courses β Free Access for Early Learners
π― Free for the first 4,500 people who join
PART 1 π
1οΈβ£ Artificial Intelligence (AI)
2οΈβ£ Machine Learning Fundamentals
3οΈβ£ Prompt Engineering Mastery
4οΈβ£ ChatGPT, Claude & Grok Productivity
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π Cybersecurity & Ethical Hacking
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π Invest in skills today. Your future self will thank you.
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Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will β if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs β which means automating more workers β which means less spending β which means more falling demand β which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax β a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas Β· Wharton School + Boston University Β·