Could the U.S. Launch a Manhattan Project for Artificial Intelligence?

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Welcome Humans🤖,

Here is what we have Today:

• 💥 AI Manhattan Project: 10,000x leap by 2027?

• 🧠 AI plays mind games: Who's the smartest?

• 💸 OpenAI's $30B electric bill: 4.5 GW of power for AI?.

•  👨‍💻Trae Agent writes, debugs, and probably judges your code.

• 💼 New Job Opportunities

AI RESEARCH

🧠 What a Real 'Manhattan Project for AI' Could Unleash

Epoch AI just dropped a bold blueprint:
A U.S.-led, government-backed AI megaproject that could scale training 10,000x beyond GPT-4 by 2027.

The U.S. might be gearing up for the most ambitious AI project in history.
And it could make today’s AI look like a typewriter in the age of supercomputers.

Epoch AI just released a blueprint for what a full-scale, government-led AI Manhattan Project could look like — and the numbers are wild.

🚀 Modeled After Apollo + Manhattan Project

🔹 Massive national initiative
🔹 U.S. gov + private sector team-up
🔹 Inspired by historic efforts that changed the world

💸 What Would It Take?

🇺🇸 Investment on par with Apollo’s peak
💻 Deployment of ~27 million GPUs
🧠 Training a model 10,000x larger than GPT-4

⚡ Energy = The Bottleneck

🏭 Massive electricity demands
📜 Proposal to invoke the Defense Production Act
⚙️ Accelerate power plant construction nationwide

📢 Why This Matters

🌍 This isn't just about tech — it’s global strategy
🇨🇳 U.S.-China tensions center on AGI supremacy
📈 The first to AGI could dominate everything from
→ Economy
→ Military
→ Scientific discovery

🏁 Final Word

Like the space race or Manhattan Project, this could define the next century.
Only now, it’s not a race to the moon —
🧠 It’s a race to build intelligence itself.

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AI RESEARCH

🤖 What AI behavior says about the future of reasoning?

🧠 140,000 rounds. 3 top AI models. 1 classic game.
Researchers put OpenAI, Google, and Anthropic’s AIs through the ultimate trust test: Prisoner’s Dilemma.

🎮 What’s the Prisoner’s Dilemma?

🤝 Cooperate or betray.
💥 Points are earned based on mutual choices.
📝 Each AI wrote out its reasoning before every move.

🔍 What Did They Find?

Each model developed a unique strategy style 👇

• 🧊 Gemini (Google) – Ruthlessly adaptive, always playing to win.

• 🕊️ OpenAI models – Trusting, even when backstabbed.

• 💛 Claude (Anthropic) – Forgiving, willing to rebuild trust.

🧬 Strategy “Fingerprints”

Researchers mapped how each model reacts to:

• 💔 Betrayal

• 🎯 Success

• 🔄 Repeated patterns

Turns out, each AI handles conflict differently — like they’ve got personalities.

🚨 Why It Matters

📚 Trained on the same data.
🧠 But act totally differently.
✅ More proof that LLMs aren’t just copying — they’re reasoning.

🤖 In high-stakes tasks like:

• Negotiation 💼

• Diplomacy 🕊️

• Resource allocation 📊
  Model behavior really matters.

🧩 TL;DR

Different AI, different brains.
Same training, totally different strategies.
👀 Watch this space — the future of reasoning is evolving.

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• Switzerland has unveiled the solar powered railway tracks that is being completed by Sun Ways project, they are testing the use of solar panels installed between railway tracks to generate electricity. The solar panels electricity are fed into a power grid which then is fed back into the train.

• ByteDance dropped Trae Agent, a command-line, LLM-powered software engineer that writes, debugs, and fixes code on demand. It handles full-stack dev tasks from natural language prompts and runs workflows autonomously using shell access, structured reasoning, and real-time patching. Backed by top-tier models like Claude and Gemini, Trae parses huge codebases, generates precise bug fixes, and reports results live through a built-in summarizer.

• A DOBOT robotic arm, remotely operated from Shenzhen, flawlessly grilled steaks 1,800km away in Shandong. No lag, no errors, just real-time, high-fidelity control. It’s a sharp demo of mature remote presence tech, where latency, precision, and stability align.

• OpenAI is scaling compute and tightening control over its brand and data pipelines ranking deployment among the largest AI-dedicated compute expansions globally. It has secured 4.5 GW of dedicated capacity from Oracle to power its Stargate AI systems, part of a $30B/year cloud commitment, expanding hyperscale infrastructure in Texas, Michigan, and Wyoming, doubling the Abilene site's footprint to 2 GW.

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