🤖Minds, Machines, and Work

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This week’s AI moves aren’t hypotheticals. They are happening.

Robots are learning real-world physics before stepping outside. Models like DeepSeek’s Terminus are taking action, not just chatting.
And ChatGPT is quietly becoming the coworker everyone already uses.

Here’s what matters right now 👇

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🧵 In today's edition:

1.  🤖 NVIDIA Teaches Robots to Think in Physics

2. 🧠 DeepSeek’s Terminus Pushes Closer to GPT-5

3. 💼 ChatGPT Is Quietly Reshaping How People Work

 🎥 NEW VIDEO: This video introduces the era of autonomous AI agents, digital co-workers that don’t just assist, but act.

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1.🤖 NVIDIA Teaches Robots to Think in Physics

NVIDIA isn’t just training robots. It’s teaching them to think with physics.

Its new Newton engine inside Isaac Lab lets bots practice in hyper-real simulations from walking on snow to balancing a cup, all before touching the real world.

Paired with Isaac GR00T N1.6, which acts like an onboard GPS and logic brain, robots can now turn vague commands into precise, physics-aware actions.

This isn’t just smarter automation. It’s NVIDIA turning robot intelligence into something that actually understands the laws of nature.

2.🧠 DeepSeek’s Terminus Pushes Closer to GPT-5

DeepSeek just dropped V3.1 Terminus, and it’s already turning heads.

This new model isn’t just chatting, it’s acting. It can call APIs, write code, run searches, and use tools with surprising precision.

Developers are wiring it into projects through Hugging Face and APIs, using its two modes: Chat for fast responses and Reasoner for complex problem-solving.

This isn’t a test. It’s DeepSeek moving closer to GPT-5 territory one tool call at a time.

3.💼 ChatGPT Is Quietly Reshaping How People Work

OpenAI just shared new insights into how people are actually using ChatGPT at work and it is not just for emails.

Teams in marketing, product, and development are leaning on it for brainstorming, drafting, editing, and summarizing. It’s also being built directly into workflows so users don’t have to jump between apps, blending personal and professional use.

The question now is whether companies should guide AI adoption from the top down or let employees shape how they use it from the ground up.

Would you rather your workplace set AI rules, or figure them out yourself?

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