The system captures retiring veterans' workflows, converting 'atoms' of movement into 'bits' of digital guidance for new hires.
SYSTEMS
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Liquid Computing Integrates Physical Sensors Digital Data Human Intelligence
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Liquid Computing synchronizes Atoms, Bits, and Neurons.
— Lucian Fogoros (@fogoros) 27 mars 2026
Physical goods, digital data, and human intelligence flow together. When sensors detect pressure drift, operators get instant AR-guided SOPs on wearables. pic.twitter.com/y1SfUxEsApLiquid Computing synchronizes Atoms, Bits, and Neurons.
Physical goods, digital data, and human intelligence flow together. When sensors detect pressure drift, operators get instant AR-guided SOPs on wearables. -
AI Agent Uses Tiered Wallet Security for Autonomous Job Execution
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Configuring Elite.Agent.AGI.Eth for autonomous execution across the majority of jobs. Tiered security model: • Small / low-risk jobs → MetaMask (hot wallet)
• High-value jobs → Ledger (hardware-secured execution) Autonomy, with discipline. #AGIALPHA #AIAgents #Jobs -
World’s Largest Intelligence Factory Emerges Global Constraints
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Yes, it is the world’s largest Intelligence Factory. And everyone (everyone) will be Intelligence-constrained. https://
youtu.be/87ctrQefN7w?si
=w_e8uXMY4VUJis6B
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Database maintenance windows cause more disruption than hardware failures
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Planned maintenance causes more database disruption than actual hardware failures.
— Databricks (@databricks) 27 mars 2026
Most databases get patched far more often than they experience outages, but every patch means a maintenance window, severed connections, and a cold cache that tanks performance for minutes after… pic.twitter.com/l1Mgm1PoZOPlanned maintenance causes more database disruption than actual hardware failures. Most databases get patched far more often than they experience outages, but every patch means a maintenance window, severed connections, and a cold cache that tanks performance for minutes after
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SambaNova RDU: Dataflow Architecture for Efficient AI Processing
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Want faster, more efficient AI? It starts with dataflow—the natural way AI models process data. Our RDU is built for exactly that. See how it works: https://
sambanova.ai/products/dataf
low-architecture?utm_source=x&utm_medium=organic&utm_campaign=developer
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Splitting Instruction and Thinking Paths in AI Model Optimization
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Splitting Instruct and Thinking makes sense, the use cases are genuinely different. Curious if this means they'll optimize each path independently or if there's still a shared base.
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Software-Defined Systems Enable Faster Response to Market Changes
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Rigid systems slow you down when demand fluctuates. #sponsored by Siemens.
— Lucian Fogoros (@fogoros) 27 mars 2026
A software-defined approach allows you to respond faster to market changes while maintaining peak efficiency. Achieve higher uptime and better productivity without the burden of excess system overhead.… pic.twitter.com/Ar8rI6SJAXRigid systems slow you down when demand fluctuates. #sponsored by Siemens.
A software-defined approach allows you to respond faster to market changes while maintaining peak efficiency. Achieve higher uptime and better productivity without the burden of excess system overhead. -
Machine Learning Platform Engineering and System Design Resources
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Machine Learning Platform Engineering: https://
amzn.to/4uU2Lpj Machine Learning System Design: https://
amzn.to/4lRrkim -
AI integration into daily life: from navigation to autonomous assistance
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l'IA va devenir ce qu'est devenu le GPS d1ns notre vie. Tu lui dit où tu te trouve, tu lui dit où tu vas arriver.