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NEUROBIT · 15/07/2026 · 5 MIN READ

AI Efficiency Bottleneck: 1.8M Data Points Per Second

algorithmicProcessing 1.8 million data points/second reveals an AI efficiency bottleneck. Algorithmic optimization is now critical for real-time decision making and edge deployment.

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POWERBIT · 23/04/2026 · 4 MIN READ

Quaise Energy: 50 MW Enhanced Geothermal by 2030

EGSQuaise Energy's Obsidian project aims for 50 MW of clean power by 2030 using high-temperature rock. Will the $180M investment deliver a return?

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⎈ ROOT ACCESS // THE ARCHITECTURE BEHIND HUANDROID SYSTEMA COGNITIVUM

> Multi-Agent AI: How Conflict Reveals Data Truth

Single LLMs hallucinate. Huandroid’s multi-agent architecture, with a Contrarian Agent, challenges insights & eliminates bias. Crucial for strategic...

> Manifesto for Cognitive Sovereignty and Sensory Architecture

Position paper on Cognitive Sovereignty in the AI era. Human-in-command, Cognitive Exoskeleton, Epistemic Security vs Model Collapse. Huandroid's...

> Cognitive Sovereignty: AI for Italy’s Public Sector

Huandroid's AI architecture for the Italian Public Administration: Human-in-Command, Epistemic Security, & Cognitive Sanctuaries. A position paper for...

Tag: MIT

AI Efficiency Bottleneck: 1.8M Data Points Per Second

Quaise Energy: 50 MW Enhanced Geothermal by 2030

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