China’s autonomous tractor goes viral! 🚜
China’s aging rural population and labor shortages are forcing a rethink in agriculture, and the answer may already be working the fields.
The Honghu T70 is a fully electric, autonomous tractor developed in China. It’s a production-ready machine already in use across Hebei Province, with nationwide rollout planned.
The T70 can autonomously complete the entire farming cycle, ploughing, seeding, spraying, and harvesting, without a driver.
It collects real-time data on soil composition, moisture, and crop health, navigating with centimeter-level precision using China’s satellite system. 📡
It’s fully electric, charging via grid or renewables, making it well-suited for rural regions.
If deployed at scale, small farms could be managed by a single person with a fleet of robots, helping China reduce dependence on imported Western machinery and opening export markets in Southeast Asia and Africa.
With over 20% of the national workforce still in agriculture, automating rural labor could free up millions for cities and industry.
~~
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🚨 THE AI COST CRISIS HAS STARTED.
Microsoft reportedly told engineers to stop using Claude because AI bills were exploding, while Uber says its entire yearly AI budget was already destroyed by April.
Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.”
If I had only 30 days to do that , I'd begin here and save this:
Agent Architecture
https://t.co/Xyy3e9AjAQ
Claude Code 101:
https://t.co/tZbHeRDWkj
Claude Code in Action:
https://t.co/RDYEVbydhW
Prompt engineering (official):
https://t.co/aYQzAWmObh
Interactive prompt tutorial (hands-on):
https://t.co/5k9My0hYgY
CLAUDE.md & how to give Claude memory:
https://t.co/gtmOGKAvDe
Skills, teach Claude reusable workflows:
https://t.co/DJFqh3E6OB
MCP, time connect Claude to Slack, GitHub, Drive:
https://t.co/XbRdmmcYmP
Routines (automate tasks 24/7):
https://t.co/LGbhOeWWdJ
Claude Code Ultimate Guide (community):
https://t.co/56DAmEuqH8
Awesome Claude Code (skills, hooks, plugins):
https://t.co/jUIBuxvV5K
All 13 Anthropic Academy courses (free certs):
https://t.co/rHn0gDmtGH
Claude Code full docs:
https://t.co/KYHnapDdHG
All of this is for free at $0/month
Then read this guide by this builder
Atlassian's revenue: $1.79 billion last quarter
Atlassian's move: fire the engineer who built their infrastructure
his move: post a 38-minute breakdown of every system he built, free for anyone to copy
what he revealed:
> Envoy proxy instead of enterprise load balancers
> sidecar architecture for auth, logging, rate limits
> DynamoDB + SQS for async provisioning
> Packer + SaltStack for automated VM deployments at scale
Atlassian charges per employee across 350,000 customers
this guy just handed you the enterprise playbook for free
save this
🔴الصين تتيح لكم وظائف جديدة.. شاب صيني يحول الشوارع إلى مصدر دخل عبر تقنية ثلاثية الأبعاد
نجح شاب يبلغ من العمر 24 عامًا من مدينة تشنغدوا في بناء مشروع رقمي يحقق آلاف الدولارات شهرياً عبر تحويل الفنادق والشقق والمتاجر إلى جولات افتراضية ثلاثية الأبعاد.
ويستخدم الشاب تقنية “الرذاذ الغاوسي ثلاثي الأبعاد” لمسح الأماكن خلال دقائق، ثم ينشئ نماذج تفاعلية تتيح للعملاء التجول داخل العقار أو المتجر افتراضياً قبل الحجز.
ويقوم أصحاب الفنادق والعقارات بإضافة رابط الجولة إلى صفحات الحجز، ما ساهم في تقليل الإلغاءات ورفع تقييمات العملاء.
يتقاضى مبلغ محترم مقابل كل عملية مسح، إضافة إلى رسوم شهرية للاستضافة، بينما تعتمد العملية على أدوات منخفضة التكلفة وتطبيقات ذكاء اصطناعي متاحة للعامة.
يمنكم شراء هذه الاداة والعمل بها في بلدانكم كونها موجة جديدة من المشاريع الرقمية التي تحول المساحات اليومية إلى أصول افتراضية قابلة للتسويق عبر الإنترنت.
The man who killed the $10,000 GPU myth. He did it alone, from Bulgaria, with one C file. 🤯
Meet Georgi Gerganov.
>Bulgarian developer. Nobody had heard of him.
>In March 2023, Meta’s LLaMA model leaked online
>Within days he wrote a single C file
>Called it llama.cpp
>It ran a full AI model on a MacBook. No GPU. No cloud.
>The entire AI industry said you needed $10,000 GPUs to run LLMs 🔥
>He proved you didn’t. On a laptop. Alone.
>Also built whisper.cpp ~ same thing for voice AI
> His code is the foundation of Ollama, LM Studio, and GPT4All
>107,000+ GitHub stars. Fastest open-source AI project to hit 100K ever. 🚀
>In 2026 Hugging Face hired his entire team
>Still ships code. Still open source. Still free.
Every time you run AI locally, you’re running his work.
Absolute Legend 🐐
Chinese researchers have developed the best shortest-path algorithm in 41 years!
Dijkstra’s Algorithm has been the undefeated king of the shortest path for over 40 years.
Whether you’re using Google Maps, booking a flight, or routing internet packets, Dijkstra is the engine running in the background.
Since 1984, textbooks have taught that its efficiency was hit by a "sorting barrier."
To find the shortest path, you have to sort the points by distance. And sorting has a mathematical floor you can’t cross.
Until now.
A research team from Tsinghua University just published a paper that shatters the 41-year-old record.
They proved that Dijkstra is not optimal.
By combining the logic of the Bellman-Ford algorithm with a revolutionary "recursive partial ordering" method, they figured out how to find the path without fully sorting the nodes.
The results are a massive shift in theoretical computer science:
- The first deterministic improvement to the Single-Source Shortest Path (SSSP) problem since 1984.
- A new time complexity of $ O(m \log^{2/3} n)$, officially beating the long-standing $ O(m + n \log n)$ limit.
- On massive sparse graphs (like the web or global logistics), this means finding the best route significantly faster than previously thought possible.
For four decades, the greatest minds in algorithms believed this limit was absolute.
Last year, even the legendary Robert Tarjan won an award proving Dijkstra was "optimally efficient" at sorting distances.
Tsinghua’s answer? Stop sorting.
The world’s most settled problem is suddenly wide open again.
If we can break a 40-year-old law in basic graph theory, what other "impossible" speed limits are waiting to be crushed?
See the top ranked papers in AI, ML, Robotics, Quantum Physics, and more on @kurateorg. Hundreds of arXiv preprints ranked daily by scientific impact through pairwise tournaments judged by Claude, GPT, and Gemini.
Google staff system design round:
Interviewer: "You get paged at 2AM. Redis memory has doubled from 50GB to 100GB. DBSIZE shows the key count has grown only by 10%.
What happened? What's the root cause?"