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COMPUTING
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AI Automation Dramatically Reduces Data Entry Time and Costs
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Edge Central Unlocks OT Data Silos with OPC UA Standardization
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#Sponsored by IOTechSystems.
— Lucian Fogoros (@fogoros) 16 mars 2026
Your OT data is worth millions. But it is trapped inside equipment that was never designed to share it. Every PLC is an island. Edge Central breaks those islands open and normalizes the data into one standard (OPC UA) without replacing anything on the… pic.twitter.com/6rMmWnlHQJ#Sponsored by IOTechSystems.
Your OT data is worth millions. But it is trapped inside equipment that was never designed to share it. Every PLC is an island. Edge Central breaks those islands open and normalizes the data into one standard (OPC UA) without replacing anything on the -
GPU Buying Recommendations: RTX PRO 6000, 5090, and Used 3090
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If you’re asking what to buy, my recommendation based on the budget: 1. RTX PRO 6000
2. RTX 5090
3. RTX 3090 (used, from r/HardwareSwap) -
AI Agents Change Computing Demand Beyond Bubbles
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Agents Over Bubbles Agents are fundamentally changing the shape of demand for compute, both in terms of how they work and in terms of who will use them. They're so compelling that I no longer believe we're in a bubble. https://stratechery.com/2026/agents-over-bubbles/ [Translated from EN to English]
→ View original post on X — @benthompson, 2026-03-16 10:01 UTC
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Why Upgrading to RTX 3090 Changes Everything
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Life after an RTX 3090 > Life before an RTX 3090 Buy a GPU
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StitchCUDA: AI Framework Automatically Optimizes GPU ML Programs
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What if AI could automatically write and optimize entire GPU programs for your ML workloads? Researchers from the University of Minnesota-Twin Cities introduce StitchCUDA. This multi-agent framework features a Planner, Coder, and Verifier. The Coder uses innovative rubric-based
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C Compiler to LLM Weights and Logarithmic Attention Innovation
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Wait this is so awesome!! Both 1) the C compiler to LLM weights and 2) the logarithmic complexity hard-max attention and its potential generalizations. Inspiring!
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Constraints Drive AI Engineering Creativity Beyond Hardware
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Love this challenge. Constraints force creativity. The best AI engineering often comes from "how do I make this work with what I have" not "give me more GPUs."
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OpenSquirrel: Rust IDE with AI agents as central unit
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Karpathy asked. I delivered. Introducing OpenSquirrel! Written in pure rust with GPUI (same as zed) but with agents as central unit rather than files. Supports Claude Code, Codex, Opencode, and Cursor (cli). This really forced me to think up the UI/UX from first principles instead of relying on common electron slop. github.com/Infatoshi/OpenSqu… Andrej Karpathy (@karpathy) Expectation: the age of the IDE is over Reality: we’re going to need a bigger IDE (imo). It just looks very different because humans now move upwards and program at a higher level – the basic unit of interest is not one file but one agent. It’s still programming. — https://nitter.net/karpathy/status/2031767720933634100#m
→ View original post on X — @thom_wolf, 2026-03-15 22:03 UTC