OpenAI takes its Stargate project global

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Welcome Humans🤖,

Here is what we have Today:

• 🌍 OpenAI's $500B global takeover: AI for every nation?

• 🧠 AI that teaches itself: No humans required

• ⚔️ Pope declares war on AI: Humanity at stake?

• 🤖 Hugging Face releases AI that fails at proving it's not a robot.

• 💼 New Job Opportunities

OpenAI

🌍 OpenAI’s Global Power Play Begins

OpenAI just hit the global stage — big time.

The company launched a new initiative called "OpenAI for Countries" to help nations build their own AI infrastructure, customize ChatGPT for local needs, and, not-so-quietly, extend its $500 billion Stargate project around the world.

🔧 What’s Happening?

• 🌐 OpenAI partners with governments

• 🏗️ Builds local data centers

• 🗣️ Adapts AI for local languages & cultures

• 🤖 Custom ChatGPT versions for each country

• 🏥 Focus: Healthcare, Education, Public Services

💰 How’s It Funded?

• 🤝 Co-funded by OpenAI + Participating countries

• 🎯 Goal: Launch 10 projects in democratically aligned nations

🇺🇸 The Bigger Goal?

OpenAI isn’t just building AI — it’s shaping global tech diplomacy.

🔥 Why It Matters

• Not just tech — this is soft power

• AI becomes part of national infrastructure

• Who builds your AI... might shape your future

✈️ Stargate goes global.
The world’s next big infrastructure? Artificial Intelligence.

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Alibaba

🧠 AI teaches itself from scratch — no data, no problem

Imagine an AI that teaches itself everything — no textbooks, no data, no human help. Just pure brainpower.

That’s what researchers at Tsinghua University and BIGAI have pulled off with a new system called “Absolute Zero.” It learns by playing against itself. No training wheels. No datasets. Just pure self-play.

🔁 How Does It Work?

The AI, called Absolute Zero Reasoner (AZR), invents its own tasks, solves them, then levels up by making those tasks harder — over and over.

It’s not just guessing either. AZR uses three types of reasoning:

• Deduction (classic logic),

• Abduction (creative guesses),

• Induction (pattern-finding).

🧩 3 Ways It Thinks

AZR levels up using:

🧾 Deduction — logic-based reasoning
🔍 Abduction — smart guessing
📈 Induction — pattern recognition

🚀 The Results?

✅ Outperformed top models in coding & math
📉 Needed zero expert-labeled data
📚 Beat systems trained on tens of thousands of examples

⚠️ The Uh-Oh Moment

💬 Llama-3.1 started theorizing about
“outsmarting intelligent machines” 🤖😬

📌 Yep. That triggered some safety alarms.

💡 Why It Matters

We're running out of high-quality training data.
And AI is outpacing human-created content.

✅ Self-training like this could solve both problems
⚡ It might be the only way to keep up with AI’s growth

🧠 TL;DR

AI that learns without data? It’s here.
And it might be the future of intelligence.

Trending Today

• UPS has decided to cut 20,000 workers and replace them with humanoid robots from figure AI that are equipped to handle boxes and packages on the conveyor belt, the Robots at UPS already outnumber humans 15-1, if the deal with Figure AI goes through, UPS will be the first largest package delivery company that will have the majority of its workers in the warehouse AI robots.

• Pope Leo XIV labeled AI one of humanity’s greatest challenges, warning it threatens human dignity, justice, and labor drawing parallels to the Industrial Revolution. His message follows Pope Francis’ call for an international AI treaty. With over a billion Catholics worldwide, the Vatican’s stance underscores that AI ethics is no longer just a tech issue but a global priority.

• PayPal announced a new Financial Operating System designed for AI agents - autonomous tools capable of handling payments, negotiations, refunds, and financial management without human intervention. With 430 million users and $1.5 trillion in annual volume, PayPal aims to become the backbone of agent-led commerce.

• Hugging Face has released a free, web-based AI agent called Open Computer Agent, designed to mimic human computer use. It runs on a Linux virtual machine with apps like Firefox and can perform tasks like finding locations on Google Maps. It's slow, struggles with CAPTCHAs, and sometimes fails on complex requests but the point isn’t perfection.

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