Would that "review open PRs" example from the demo result in visible activity in the repo like code committed and pushed to a branch, or would it send me a push notification to my phone, or would I have to remember to open Claude Code to look at the results?
AUTOMATION
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China’s Hospital Transformation Through Robotic Innovation
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How China Is Transforming Hospital Operations with #Robots
— Ronald van Loon (@Ronald_vanLoon) 20 mars 2026
by @Arcfunmi
#Healthcare #MedTech #HealthTech #TechForGood pic.twitter.com/yTjPyzhPD4How China Is Transforming Hospital Operations with #Robots
by @Arcfunmi #Healthcare #MedTech #HealthTech #TechForGood -
Autonomous Robot Eliminates Dangerous High-Rise Cleaning Work
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This #Autonomous #Robot Could End Deadly High-Rise Cleaning Jobs
— Ronald van Loon (@Ronald_vanLoon) 20 mars 2026
by @lukas_m_ziegler
#Robotics #Engineering #Innovation #Technology pic.twitter.com/JibTXJl2fRThis #Autonomous #Robot Could End Deadly High-Rise Cleaning Jobs
by @lukas_m_ziegler #Robotics #Engineering #Innovation #Technology -
AI Tools Cut Task Time by 50-80 Percent Boost Project Velocity
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4 of 5
Real benefits people are reporting include the following: • 50 to 80 percent less time spent on repetitive tasks • Two to five times faster project velocity, with higher quality and fewer bugs • Ability to tackle far larger scopes without burnout • -
Claude AI Agent Executes Tasks in Terminal with Persistent Memory
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3 of 5
What makes it different this time? Earlier AI tools only offered advice. Claude actually executes. It runs directly in your terminal, integrates across tools, maintains persistent memory, and follows rules that truly stick. Friction vanishes. Creativity explodes. -
OpenAI’s AI Intern Coming September 2026, Full System by 2028
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OpenAI's first “AI intern” expected by September and a full system targeted for 2028. Powered by advances in reasoning models and agent systems like Codex, these tools already show dramatic productivity gains, solving problems in days instead of weeks, but still face
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AI Accelerates Mathematical and Scientific Discovery with Gemini DeepThink
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And before that 6 other math research papers by #Aletheia and other discoveries in physics and computer science, all of which were powered by Gemini #DeepThink! nitter.net/lmthang/status/2021631… Thang Luong (@lmthang) 6 months in, after the IMO-gold achievement, I’m very excited to share another important milestone: AI can help accelerate knowledge discovery in mathematics, physics, and computer science! We’re sharing Two new papers from @GoogleDeepMind and @GoogleResearch that explore how Gemini #DeepThink together with agentic workflows can empower mathematicians and scientists to tackle professional research problems. Some highlights: The first paper built a research agent #Aletheia, powered by an advanced version of Gemini Deep Think, that can autonomously produce publishable math research and crack open Erdős problems. The second paper, built on similar agentic reasoning ideas, helped resolve bottlenecks in 18 research problems, across algorithms, ML and combinatorial optimization, information theory and economics. See the thread for details about the two papers and the joint blog post. — https://nitter.net/lmthang/status/2021631397614731563#m
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Machine Gods Replacing Workers: Investor Narrative and Job Displacement
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because workers are going to be replaced by their machine god that will do our jobs so much better than us. Investors want to hear the talking point of these machine gods displacing workers because, well that's how they make money.
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Revolutionary Setup Change for Better Coding Agents
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Most people are using coding agents completely wrong. There's a simple setup change that makes them dramatically better. And once you switch to it, you'll never go back. Here's the full breakdown + the starter prompt to copy. Trust me, you NEED to try this. Matt Shumer (@mattshumer_) x.com/i/article/203505392109… — https://nitter.net/mattshumer_/status/2035058834117419036#m
→ View original post on X — @mattshumer_, 2026-03-20 18:21 UTC
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AI Agents: Unpredictable Production Behavior and New Testing Challenges
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AI agents introduce a new production challenge: you simply don’t know what your agent will do until it’s in production. They interpret open-ended language, behave differently based on subtle shifts in phrasing, and take multi-step actions that are hard to predict in development