How can AI agents confidently navigate complex software without making costly mistakes? Nankai University, Nanjing University, The University of New South Wales, and Microsoft present CUWM. This Computer-Using World Model helps AI agents "see the future" of their actions on
AUTOMATION
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Iterative Improvement Over Single-Pass Instructions for AI Agents
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You can't expect instructions like "Every line should do one thing" in an AGENTS.md to work. You need multiple passes. Trying to front-load all the style advice is like setting a really high learning rate. The space of possible code solutions is very large. Rather than trying to get there in one step, it's better to make lots of little steps that reliably iteratively improve the solution. Andrej Karpathy (@karpathy) I'm not very happy with the code quality and I think agents bloat abstractions, have poor code aesthetics, are very prone to copy pasting code blocks and it's a mess, but at this point I stopped fighting it too hard and just moved on. The agents do not listen to my instructions in the AGENTS.md files. E.g. just as one example, no matter how many times I say something like: "Every line of code should do exactly one thing and use intermediate variables as a form of documentation" They will still "multitask" and create complex constructs where one line of code calls 2 functions and then indexes an array with the result. I think in principle I could use hooks or slash commands to clean this up but at some point just a shrug is easier. Yes I think LLM as a judge for soft rewards is in principle and long term slightly problematic (due to goodharting concerns), but in practice and for now I don't think we've picked the low hanging fruit yet here. — https://nitter.net/karpathy/status/2035173492447224237#m
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AI Implementation for Operational Efficiency Enhancement
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How to Implement #AI for Enhancing Operational Efficiency by @antgrasso #ArtificialIntelligence #MachineLearning #ML
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Edge Computing Integration Reduces Latency in Distributed Operations
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When connectivity integrates edge computing and unified control, organizations gain a clearer view of operations, reduce latency, and manage complexity with greater precision, especially in distributed environments like retail and logistics. https://t.co/Sycu2SbuBo
— Antonio Grasso (@antgrasso) 21 mars 2026When connectivity integrates edge computing and unified control, organizations gain a clearer view of operations, reduce latency, and manage complexity with greater precision, especially in distributed environments like retail and logistics.
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Boston Dynamics Exoskeleton: 24-DoF Robotic Arms with 200-Pound Lifting
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Boston Dynamics Exoskeleton: 24-DoF #Robotic Arms with 200-Pound Lifting Power
— Ronald van Loon (@Ronald_vanLoon) 21 mars 2026
via @Rainmaker1973
#ArtificialIntelligence #Innovation #Technology #Engineering pic.twitter.com/Zp3YEqjs8eBoston Dynamics Exoskeleton: 24-DoF #Robotic Arms with 200-Pound Lifting Power
via @Rainmaker1973 #ArtificialIntelligence #Innovation #Technology #Engineering -
Mother Robot Debuts: Autonomous Carrier for Multi-Floor Cleaning
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Mother #Robot Debuts: #Autonomous Carrier That Deploys Cleaning Robots Across Multiple Floors
— Ronald van Loon (@Ronald_vanLoon) 21 mars 2026
by @rozetked
#Robotics #EmergingTech #Technology #Innovation #TechForGood pic.twitter.com/Lk5DzuUwBxMother #Robot Debuts: #Autonomous Carrier That Deploys Cleaning Robots Across Multiple Floors
by @rozetked #Robotics #EmergingTech #Technology #Innovation #TechForGood -
Everyone Becomes Both Builder and Consumer of Technology
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Everyone will be a builder, and everyone will be a consumer
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Incorporate in USA, Build Your AI Business From Anywhere
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Incorporate in usa. Build from anywhere
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Karpathy on No Priors Pod: AI Engineering, AutoResearch, and Future Skills
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Thank you Sarah, my pleasure to come on the pod! And happy to do some more Q&A in the replies. https://t.co/uIeUtFxDkm
— Andrej Karpathy (@karpathy) 21 mars 2026Thank you Sarah, my pleasure to come on the pod! And happy to do some more Q&A in the replies. sarah guo (@saranormous) Caught up with @karpathy for a new @NoPriorsPod: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 – What Capability Limits Remain? 06:15 – What Mastery of Coding Agents Looks Like 11:16 – Second Order Effects of Coding Agents 15:51 – Why AutoResearch 22:45 – Relevant Skills in the AI Era 28:25 – Model Speciation 32:30 – Collaboration Surfaces for Humans and AI 37:28 – Analysis of Jobs Market Data 48:25 – Open vs. Closed Source Models 53:51 – Autonomous Robotics and Atoms 1:00:59 – MicroGPT and Agentic Education 1:05:40 – End Thoughts — https://nitter.net/saranormous/status/2035080458304987603#m
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Using Codex CLI for Automated VPS Health Monitoring
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J’essaie de faire un petit projet en ce moment où je build, par-dessus Codex CLI, un mode de surveillance et de vérification de mes VPS qui tourne tous les matins et m’envoie un rapport de santé sur l’état de la machine et des services qui tournent. J’ai de plus en plus de
