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Meshtastic Explained: LoRa Mesh Architecture & Features

23 May 202623 February 2026 by susiloharjo
Susiloharjo

An analysis of the Meshtastic protocol, its ad-hoc mesh networking capabilities, and its utility in decentralized, off-grid group communication.

Categories Article Tags esp32, iot, LoRa, Mesh Networking, Meshtastic, Off-Grid Communication, Resilience

The Weaponization of LLMs: Navigating the Era of AI-Generated Phishing and Deep-Fake Ransomware

23 February 2026 by susiloharjo
Susiloharjo

An inquiry into the shifting threat landscape as Large Language Models and Deep-Fakes become mainstream tools for offensive operations. The analysis examines the technical mechanics of AI-driven social engineering.

Categories Article Tags AI, Cybersecurity, Deep-Fake, LLM, Phishing, Ransomware, Social Engineering, Threat Intelligence

Gemini 3.1 Pro Architecture: Why the 77.1% ARC-AGI-2 Score Marks the End of LLM Infancy

22 February 2026 by susiloharjo
Susiloharjo

A deep dive into Gemini 3.1 Pro’s architecture and its groundbreaking 77.1% ARC-AGI-2 score. Analyzing the jump from probabilistic modeling to abstract reasoning and its implications for agentic workflows.

Categories Article Tags Abstract Reasoning, AI Agents, ARC-AGI-2, Artificial General Intelligence, Gemini 3.1 Pro, Google DeepMind

Breaking the VRAM Wall: A Technical Case Study of CPU-Bypass Inference

22 February 2026 by susiloharjo
Susiloharjo

A case study on the NVMe-to-GPU breakthrough for LLM inference. Analyze how bypassing the CPU enables Llama 3.1 70B on consumer-grade RTX 3090 hardware.

Categories Article Tags AI Hardware, Case Study, GPU, Inference, Llama 3.1, LLM, NVMe-to-GPU

Cord: A Technical Exploration of Hierarchical Coordination for AI Agent Trees

24 February 202622 February 2026 by susiloharjo
Susiloharjo

A technical case study of Cord, a framework designed for coordinating complex trees of AI agents. Analyze the shift from flat orchestration to hierarchical agentic systems.

Categories Article Tags Agentic Workflows, AI Agents, Cord, LLM Orchestration, machine learning, Software Architecture

Self-Tuning Infrastructure: Multi-Agent Reinforcement Learning for Spark Optimization

22 February 2026 by susiloharjo
Susiloharjo

An engineering deep-dive into autonomous big data optimization. Learn how Q-learning agents and Adaptive Query Execution (AQE) create self-tuning Apache Spark environments.

Categories Article Tags Apache Spark, Autonomous Systems, Big Data, Infrastructure Engineering, MLOps, Reinforcement Learning
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Eko Susilo Harjo
Makers, Thinkers, IOT, Robotics, Full Stack Developer

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