🦁 | Building Useful things using A.I | Web3 | 🕉️ Carpediem

India
Got these books today ! thanks @mastra team 😄
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Getting Roasted for Vibe Coding! is it fr ??
Just shipped tryemployable.ai with @edvardh1 it applies to jobs for you: - every opening in one feed (32k+ and counting) - auto-applies to 100+ jobs in minutes - writes each screening answer to match the role - remembers your whole profile so you never fill the same form twice (powered by @supermemory) - set it up once, it does the rest. try it free and make applying way less painful. Demo soon…
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Harsh Pathak retweeted
We just launched Xirp, a vendor-neutral agentic development environment. One place to manage agent sessions across @ClaudeDevs, @GeminiApp CLI, and @OpenAI Codex. 1,300+ @Spotify engineers already use it. Now it's available for you to try. Learn more at xirp.spotify.com.
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Harsh Pathak retweeted
A robot dog you’re actually supposed to take apart. China’s MirrorMe built Black Panther X as a modular, open quadruped platform rather than another closed robot dog. 200+ components, 12 joints, open interfaces + code, 4 m/s speed, 33 Nm joint torque, and support for third-party sensors and payloads. You can assemble it, modify it, program it, and build on top of it.
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Love to Build ?, a Phone on desk can't distract you
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Harsh Pathak retweeted
Xiaomi-Robotics-1 is now open source!🎉 Xiaomi-Robotics-1 was pre-trained on more than 100,000 hours of UMI data and post-trained with over 10,000 hours of cross-embodiment data. This open-source release covers the complete pipeline from real-robot post-training to model deployment and also includes evaluation code for benchmarks. 🌐Project Page :robotics.xiaomi.com/xiaomi-r… 💻GitHub: github.com/XiaomiRobotics/Xi… 📎Hugging Face: huggingface.co/collections/X… We will continue exploring the broader possibilities of general-purpose robot models. #Robotics #EmbodiedAI #FoundationModels #RobotLearning #XiaomiAI #XiaomiRobotics
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Harsh Pathak retweeted
🚨 India is building its own space station, the Bharatiya Antariksh Station (BAS), with the first module, BAS-01, set to launch in 2028. - Completion slated for 2035. - Orbit altitude: 400 to 450 km above Earth. - Designed to support a crew of 3 to 4 astronauts. - Stays can last for 3 to 6 months. The aim is to establish a permanent human presence for India in Low Earth Orbit (LEO).
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Harsh Pathak retweeted
This is how Gemini Robotics 2 helps @Apptronik’s Apollo 2 use whole body intelligence to pack for a sports game ↓
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Many of India’s space industry firsts. Rolled into one rocket. 🚀 #Vikram1 #SkyrootAerospace #OpeningSpaceForAll
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Harsh Pathak retweeted
India’s Yuva Shakti continues to make a mark globally! Congratulations to our team of Debadatta Priyadarshi, Harshit Singhal, Kabeer Chhillar and Sandeep Kuchi for winning Gold Medals at the 58th International Chemistry Olympiad. This was India’s best performance at this prestigious platform. Their brilliance, dedication and passion for science have made the entire nation proud. It will also motivate countless young minds to study and excel in chemistry.
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Harsh Pathak retweeted
INDIA in last 90 days 🥵 Build baby build 🇮🇳
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Harsh Pathak retweeted
Chinese private rocket launchers failed in their first attempts. In contrast, the Indian private rocket launcher @SkyrootA 🇮🇳 succeeded on its maiden flight with low cost.
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Harsh Pathak retweeted
We’ll be watching this ignition on loop all day. Kalam-1200 — Vikram-1's first stage, named for Dr. A.P.J. Abdul Kalam — roaring to life and lifting Vikram-1 off the pad, on a flight that reached orbit. #Vikram1 #MissionAagaman
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Harsh Pathak retweeted
Ab delo bhai gali jisko deni …
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Harsh Pathak retweeted
A billionaire investor says if you bet against every AI company today, you’d be rich in five years, and the CEO of Coinbase [Brian Armstrong] quietly agrees it might be a bubble. [Nikhil] “If I were to take every private company in AI and short their stock today, in five years, I might make money. It feels a bit like the Internet bubble.” [Brian] “I probably somewhat agree. The open source models are really like six months behind, and they’re like 99% cheaper or more for inference. So it’s entirely possible a larger percentage of the workload goes to these models that are 99% cheaper.”
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Harsh Pathak retweeted
el fundador de una empresa china de IA valorada en más de $20,000,000,000 acaba de dar una clase de 40 minutos sobre enjambres de agentes la explicación más clara que he visto sobre sistemas de IA a gran escala cámbiala por tus 2 horas de Netflix de esta noche
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Eating every Industry!
✅ Claude Code ✅ Claude Cowork ✅ Claude Design ✅ Claude Finance ✅ Claude Science ✅ Claude Teacher ⬜ Claude HR ⬜ Claude Analytics ⬜ Claude Marketing ⬜ Claude Sales ⬜ Claude Legal ⬜ Claude R&D ⬜ Claude Procurement ⬜ Claude Accounting ⬜ Claude Engineering
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Harsh Pathak retweeted
Orange pill update on @nikhilkamathcio: the podcast trailer is live. 🟠 I just saw it. He asks @brian_armstrong if India is really the world's #1 crypto country and admits he doesn't see the impact of crypto in his day-to-day life. After 8 years of running @CoinDCX, I can humbly say otherwise. I see the impact of crypto every day. → So do the users I've met across cities and towns in India. 100 million+ Indians now own crypto. It is the largest user base in the world, and 7 in 10 of them are under 35. → So does the data on our dashboards. Indians started 5.7 lakh+ new crypto SIPs on CoinDCX last year, most first time users beginning at under ₹500 a month. → So does Chainalysis, which has ranked India #1 in global adoption 3 years back-to-back: $338 billion in crypto value received in a single year, ahead in every category: retail, institutional, even DeFi. And that's the beauty of India's crypto story. It's not loud. Some changes are quiet: ₹500 SIPs, small towns, first-time investors. Anyway, good to see crypto becoming part of the mainstream conversation. Will be interesting to see the full episode.
I heard that @nikhilkamathcio is slowly getting orange pilled. 🟠 Give it a few weeks. You will see. 😉
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Harsh Pathak retweeted
You pay for AI twice. Once with money, and once with everything your company knows The second payment is something nobody prices in. Every prompt and correction your team feeds a frontier model carries proprietary knowledge upstream. How you price deals, how you handle the weird edge cases, what good looks like inside your org. A competitor couldn’t buy that knowledge at any price. The lab gets it as exhaust Social media at least had the decency to be free while it made you the product. The labs charge you millions for the same arrangement You pay for tokens, your usage trains the next model, your alpha ends up in the weights, and the weights get sold to everyone in your industry. You fund the R&D and your competitors buy the output The popular answer is to train your own model. I think that’s the 2026 version of every company needing its own blockchainn. You won’t outspend the labs on compute, and you don’t have to, because the model was never the asset. Models get swapped every six months anyway What doesn’t get swapped is your tacit knowledge. Your evals, your memory, the accumulated judgment that makes your company yours. That’s all leaking So rent the intelligence, own the learning loop, and draw a boundary the exhaust doesn’t cross without your consent In the cloud era companies accumulated data. In the AI era they accumulate learning The question is whether yours compounds inside your walls or someone else’s
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