Mind Vortex @MindVortex12

@SadiaReal294785 laptop working

Tomorrow’s home robots could clean, carry, organize, and handle everyday tasks. What sounds futuristic today could become normal tomorrow. 🤖

Mind Vortex @MindVortex12

a week ago

A robot with just instructions repeats the same task forever. A robot with AI learns, adapts, and makes its own calls. That's the shift changing factories, hospitals, and homes quietly right now. 🤖 x.com/i/article/2088…

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Robots are going where humans can’t. From exploring Mars to operating in extreme environments, intelligent machines are expanding the boundaries of what’s possible. The future of robotics isn’t just on Earth. 🤖

Mind Vortex @MindVortex12

a week ago

A robot with just instructions repeats the same task forever. A robot with AI learns, adapts, and makes its own calls. That's the shift changing factories, hospitals, and homes quietly right now. 🤖 x.com/i/article/2088…

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The future of healthcare isn't doctors vs. robots. It's doctors + robots. Human expertise. Machine precision. Together, they could change how we treat patients.🤖

Mind Vortex @MindVortex12

a week ago

A robot with just instructions repeats the same task forever. A robot with AI learns, adapts, and makes its own calls. That's the shift changing factories, hospitals, and homes quietly right now. 🤖 x.com/i/article/2088…

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😊😊

Factories are getting smarter. AI-powered robots aren't just repeating the same task anymore. They're learning to adapt, work around people, and handle increasingly complex jobs. The factory of the future is already taking shape. 🤖

Mind Vortex @MindVortex12

a week ago

A robot with just instructions repeats the same task forever. A robot with AI learns, adapts, and makes its own calls. That's the shift changing factories, hospitals, and homes quietly right now. 🤖 x.com/i/article/2088…

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@American_P69 is this Ai

@NBA @Ticketmaster outstanding

OpenAI just dropped a stat that explains the AI gap between companies: The top 10% of enterprises use plugins 2x as often, and skills 6x as often, as typical firms. 21% vs 9% on plugins. 19% vs 3% on skills. These frontier firms aren't ahead by accident. They're not smarter. They're not better funded (not entirely). They've just built the habit of reaching for advanced capabilities — while everyone else stays stuck on the basics. The AI gap isn't about access. Everyone has the same tools. It's about usage.

OpenAI @OpenAI

2 weeks ago

The top 10% of enterprises use plugins twice as often and skills six times as often as typical firms. These frontier firms are not ahead by accident.

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What if "having a job" becomes as optional as growing your own vegetables? That's literally what Elon Musk predicted. October 2025: "AI and robots will replace all jobs." A month later, at the U.S.-Saudi Investment Forum, he doubled down — 10 to 20 years, and work shifts from survival necessity to personal choice. Not "you'll lose your job." His claim is bigger: the entire concept of needing a job disappears. Most people heard this and moved on. Few asked the actual question: If income no longer comes from labor — where does it come from? Who owns the robots? What replaces a paycheck? Sounds absurd today.

Future IRL | Tech | Robotics @TheFutureIRL

2 weeks ago

Elon Musk says AI and robots could replace all jobs! If human labor stops being necessary, what happens to wages, ownership and the economy? I broke down what a post-work world could actually look like! x.com/i/article/2086…

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AI & Robots: The Future Is Already Here A few years ago, intelligent robots looked like science fiction. Today, they're in factories, hospitals, warehouses, labs — and increasingly, around us. The real revolution isn't AI. It isn't robots. It's what happens when you combine both. 🤖 What actually makes AI robots different? Traditional robots repeat the same fixed instructions, over and over. AI-powered robots go further — using cameras, sensors, and AI models, they can: Understand their surroundings Recognize objects Detect obstacles Analyze information in real time Adapt to changing situations Make decisions based on what they see

Mind Vortex @MindVortex12

2 weeks ago

🤖 AI + Robots are changing the way we work, live, and think about the future. From hospitals to factories and our homes—robots are becoming smarter, more capable, and more human-like. The future isn't coming. It's already here. 🚀 x.com/i/article/2087…

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While the West filmed demos, China took the market. All the hype circles three familiar names. The actual 2025 shipment number barely gets mentioned. → ~90% of all humanoid robots shipped globally in 2025 came from Chinese makers → Not one star — a dozen+ companies scaling at once (China has 150+ humanoid robot startups) → None of them headlined a single Western tech conference And it's not slowing down. In H1 2026, China's share climbed to 97%. Loud announcements and real shipments are two different races. One's won by who's loudest. The other by who's cheapest and fastest.

Shredder @Shred_0x

2 weeks ago

WHILE THE WEST FILMED DEMOS, CHINA TOOK THE MARKET All the hype circles three familiar names. The actual 2025 shipment number barely gets mentioned. → ~90% of all humanoids shipped last year came from Chinese makers → Not one star, a dozen companies scaling at once → None

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Graph Engineering + Kimi K3: The Architecture That Beats Bigger Models Most people are still building RAG systems that break the moment a question gets complicated. Standard RAG: user asks something → system finds "similar" text chunks → model writes an answer from those chunks. Works fine. Until it doesn't. Ask "why did our sales drop in March?" — vector search finds documents containing "sales" and "March." It returns fragments. It cannot return a chain of causes, because those causes live in five different documents that share zero keywords with each other. What you actually need isn't better search. It's a knowledge graph — a structure that stores not just facts, but how facts connect. Microsoft proved this with GraphRAG: dramatically lower token costs, meaningfully better accuracy, compared to standard RAG. And Kimi K3 happens to be built for exactly this: 🔹 1M-token context window (vs 128K-200K on most models) 🔹 Can hold entire subgraphs, evidence chains, and repo structures in one pass

Kirill @kirillk_web3

2 weeks ago

x.com/i/article/2087…

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AI & Robots: The Future Is Already Here A few years ago, intelligent robots looked like science fiction. Today, they're in factories, hospitals, warehouses, labs — and increasingly, around us. The real revolution isn't AI. It isn't robots. It's what happens when you combine both. 🤖 What actually makes AI robots different? Traditional robots repeat the same fixed instructions, over and over. AI-powered robots go further — using cameras, sensors, and AI models, they can: Understand their surroundings Recognize objects Detect obstacles Analyze information in real time Adapt to changing situations Make decisions based on what they see

Mind Vortex @MindVortex12

2 weeks ago

🤖 AI + Robots are changing the way we work, live, and think about the future. From hospitals to factories and our homes—robots are becoming smarter, more capable, and more human-like. The future isn't coming. It's already here. 🚀 x.com/i/article/2087…

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The Company That Changed Space In 2002, space exploration was predictable. Government-run, expensive, dominated by a handful of aerospace giants. Launch costs were painfully high. Almost nobody believed that would change. Then a small startup in Southern California said something absurd: We'll build rockets at a fraction of the cost, reuse them instead of throwing them away, and make humanity multiplanetary. Experts laughed. Elon Musk had just walked away from PayPal with roughly $100-165M in his pocket. He could've retired. Instead he put most of it into rockets — a bet that nearly bankrupted him before SpaceX ever reached orbit.

promptix @promptixAI

4 weeks ago

x.com/i/article/2082…

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NVIDIA just dropped Nemotron 3.5 Lightning ⚡ An open 30B MoE model with only 3B active parameters — built specifically for always-on AI agents. The pitch: most agent time isn't spent "thinking," it's spent executing — tool calls, validation, delegation. Sending every one of those steps to a giant reasoning model is slow and expensive. Lightning fixes that: 🔹 Up to 4x the output speed of similar-sized models 🔹 1M-token context window 🔹 Hybrid Mamba-2 + MoE + Attention architecture 🔹 Trained on 20T+ tokens 🔹 Fully open — weights, data, and recipes released This isn't a "smarter" model. It's the execution layer — the part that does the repetitive work while a frontier model like Nemotron 3 Ultra handles the actual reasoning.

NVIDIA AI @NVIDIAAI

2 weeks ago

Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

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33 Free GitHub Repos That Can Replace $25,000/year in Paid Software AI coding. Automation. CRM. Analytics. Databases. Video generation. Transcription. Productivity. One $20 subscription doesn't look expensive. But when your stack grows to 20-30 tools... the total becomes ridiculous. $25,000+ a year — just for software? Here's the fix: free, open-source alternatives that do the same job.

unicode @unicodef1wn

a month ago

x.com/i/article/2078…

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Elon Musk, October 2025: "AI and robots will replace all jobs." A month later, at the U.S.-Saudi Investment Forum, he took it further — within 10 to 20 years, working won't be a necessity, it'll be a choice. His analogy: like someone growing their own vegetables not because they have to, but because they enjoy it — that's what "work" becomes when survival no longer depends on it. Sounds absurd. But here's the real question — if he's right, what happens to income, purpose, and the economy once work becomes optional?

Future IRL | Tech | Robotics @TheFutureIRL

2 weeks ago

Elon Musk says AI and robots could replace all jobs! If human labor stops being necessary, what happens to wages, ownership and the economy? I broke down what a post-work world could actually look like! x.com/i/article/2086…

5 4 31 176K 15