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#Automated Injector Prepares Chicks for Transport with Precise Medication
— Ronald van Loon (@Ronald_vanLoon) 2 avril 2026
by @IntEngineering
#TechForGood #Innovation #Tech #Technology pic.twitter.com/k7J0LUr1TC
#Automated Injector Prepares Chicks for Transport with Precise Medication
by @IntEngineering #TechForGood #Innovation #Tech #Technology
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#WATCH | A significant step towards future-ready education as Central Board of Secondary Education and National Council of Educational Research and Training introduce an AI & Computational Thinking curriculum for Classes 3–8.
— IndiaAI (@OfficialINDIAai) 2 avril 2026
The initiative aims to build early digital literacy,… https://t.co/KcuieOgar8
#WATCH | A significant step towards future-ready education as Central Board of Secondary Education and National Council of Educational Research and Training introduce an AI & Computational Thinking curriculum for Classes 3–8. The initiative aims to build early digital literacy, logical thinking and communication skills, equipping young learners with the capabilities needed for a rapidly evolving, technology-driven world. A strong foundation for nurturing curious minds, problem solvers and future innovators. #AIForEducation #DigitalIndia #FutureReady #Innovation #IndiaAI DD News (@DDNewslive) #WATCH | #CBSE and #NCERT have introduced an AI and Computational Thinking curriculum for Classes 3–8 to build early digital literacy, logical thinking, and communication skills, aligned with future-ready education goals. @EduMinOfIndia @dpradhanbjp @cbseindia29 @ncert @tapasjournalist — https://nitter.net/DDNewslive/status/2039558189608251453#m
→ View original post on X — @officialindiaai, 2026-04-02 06:14 UTC
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I totally agree. More insights are needed before we can realistically start to implement this as a reliable solution. It will get there we just need to help it along until then.
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Nos parents ont assisté au premier pas sur la lune, on verra le 2ème
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Ground truth: When the Earth moves, #AI can spot it
by Chris Baraniuk @BBC Learn more: https://
bit.ly/4lVI9Jh #MachineLearning #ArtificialIntelligence #ML
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Great stat in here: Claude Code went from 17% to 92% on our eval set once it had access to LangSmith traces and Skills. A coding agent without trace data is just guessing at fixes LangChain (@LangChain) New conceptual guide: 🔄 The agent improvement loop starts with a trace Tracing is the foundational primitive for improving agents. A trace gives you the full behavioral record of what an agent actually did. From there, teams can enrich traces with evals and human feedback, turn recurring failures into test cases, validate fixes before shipping, and repeat. This guide breaks down the full improvement loop and why reliable agents are built through trace-centered iteration, not one-off debugging. Read more → langchain.com/conceptual-gui… — https://nitter.net/LangChain/status/2039028327030079565#m
→ View original post on X — @langchain, 2026-04-02 05:33 UTC
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The Rise of the RoboChef: #Automation Redefines the Culinary World
— Ronald van Loon (@Ronald_vanLoon) 2 avril 2026
by @anand_narang
#Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation #FoodTech pic.twitter.com/6nTiuOFHN5
The Rise of the RoboChef: #Automation Redefines the Culinary World
by @anand_narang #Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation #FoodTech
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Yep, you can't hand-hold your agents to do something. You have to let them roam free like an actual employee.
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🔥 Big Upgrade for Our Bootcamp Family! You asked. We listened. And now we’re delivering. 😄 Going forward Anyone who will be learning with us through any of our bootcamps will now get access to previous bootcamp recordings as well! And that’s not all 👇 We’re soon launching Quarterly and Half-Yearly Subscription Plans for our AI Pro program along with Industry-Ready Projects designed to make you job-ready faster. More learning. More projects. More growth. 🚀 Stay tuned — exciting things are coming! #AI #Bootcamp #LearningNeverStops #DataScience #GenerativeAI
→ View original post on X — @krishnaik06, 2026-04-02 05:07 UTC
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𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗿𝗮𝗰𝗲 𝘄𝗼𝗻’𝘁 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗼𝗱𝗲𝗹𝘀.
— Pascal Bornet (@pascal_bornet) 2 avril 2026
𝗜𝘁 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗲𝗴𝗮𝘄𝗮𝘁𝘁𝘀.
And right now, one country is moving faster than everyone else.
China is not just “going green.”
It’s building scale most economies can’t match.
What… pic.twitter.com/nVcBghH0Yk
𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗿𝗮𝗰𝗲 𝘄𝗼𝗻’𝘁 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗜𝘁 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗲𝗴𝗮𝘄𝗮𝘁𝘁𝘀. And right now, one country is moving faster than everyone else. China is not just “going green.” It’s building scale most economies can’t match. What stands out to me is this: Over the next decade, the constraint will not be ideas. It will be 𝗽𝗼𝘄𝗲𝗿. AI, data centers, robotics, electrified industry, automation… All of it runs on one thing: Reliable, cheap electricity at scale. And China is accelerating that aggressively: ↳ 880+ GW solar capacity (2024) ↳ 277 GW added in a single year ↳ Passed 1 terawatt in 2025 That’s not a climate milestone. That’s an industrial strategy. Here is what many people still underestimate: 𝗦𝗼𝗹𝗮𝗿 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝘀𝘁𝗼𝗿𝘆. 𝗜𝘁’𝘀 𝗮 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗲𝗻𝗴𝗶𝗻𝗲. Because at this scale, energy becomes leverage: ▪️ Lower manufacturing costs ▪️ Faster electrification ▪️ Stronger supply chains ▪️ Less exposure to fuel shocks ▪️ More capacity for AI and compute This is where the shift is happening. Countries that scale power will scale industry. Those that don’t… will depend on those who do. And this is happening faster than most leaders expect. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝗺𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: Is your country treating energy as infrastructure… or as messaging? #Solar #Energy #CleanTech #China #AI #Geopolitics #Innovation #SupplyChain #Technology #FutureOfWork
→ View original post on X — @pascal_bornet, 2026-04-02 05:01 UTC