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

18 June 202622 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

15 June 202622 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

18 June 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 AI Agents, Cord, LLM Orchestration, machine learning, Software Architecture

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

18 June 202622 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

Why ML Projects Fail: Mismatch, Leakage, and the Hidden Iceberg of MLOps

18 June 202622 February 2026 by susiloharjo
Susiloharjo

A technical analysis of common failure modes in machine learning production cycles. Explore data leakage, offline-online mismatch, and the high tax of ML infrastructure.

Categories Article Tags AI Infrastructure, Data Engineering, machine learning, MLOps, Model Serving, Systems Design

The Chilling Effect: When Legal Threats Subvert Responsible Disclosure

18 June 202622 February 2026 by susiloharjo
Susiloharjo

A technical post-mortem of a recent vulnerability disclosure case where a researcher was met with legal threats instead of remediation. Exploring the intersection of security research and the Law.

Categories Article Tags Compliance, CSIRT, GDPR, Information Security, NIS2, Software Engineering, Vulnerability Disclosure
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Eko Susilo Harjo
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