#mod reverse engineering tutorial
81 related articles
·3 min
Hands-On Tutorial: Fully Automated 3Dmigoto Mod Reverse Engineering with Local Ollama Small Models
Learn how to use locally deployed Ollama small models for fully automated 3Dmigoto Mod reverse engineering—covering setup, hardware requirements, demos, and tips for zero-cost batch processing.
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·3 min
A Complete Guide to Learning Cybersecurity from Scratch: A Three-Stage Framework from Beginner to Practitioner
A detailed guide to systematic cybersecurity learning from scratch, covering a three-stage framework from lab setup and vulnerability discovery to penetration testing and real-world application.
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·1 min
A Beginner's Guide to Mechanistic Interpretability: Learning Paths and the Importance of Study Partners
A deep dive into Mechanistic Interpretability: core concepts, learning challenges, and entry paths. Learn why this frontier AI safety field benefits from community learning and tools like TransformerLens.
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·6 min
Flask Creator's Conversation: Why We Need to Slow Down in the AI Coding Era
Flask creator Armin Ronacher and minimalist Agent Pi's author Mario Zechner discuss AI coding limitations, code quality decline, MCP vs CLI, and why engineers need to slow down.
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·2 min
Turning Rain World into a Reinforcement Learning Environment: A Gymnasium + SB3 Implementation
A developer transformed the indie game Rain World into a Gymnasium-compliant RL environment compatible with Stable-Baselines3. This article covers the technical implementation and insights for RL learners.
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·3 min
How AI Video Generation Works: Diffusion Models, Motion Transfer, and Optical Flow Explained
Deep dive into three core AI video generation technologies: diffusion models, motion transfer, and optical flow — the tech behind Sora, Runway, and more.
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·3 min
Spring AI 2.0 in Practice: Building an Enterprise-Grade Code Assistant Agent from Scratch
Deep dive into Spring AI 2.0 core updates. Reverse-engineer Claude Code with Agent Utils to build an enterprise-grade code assistant covering ReAct, Tools, MCP, and long-term memory.
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·4 min
Claude Code Hands-On Tutorial: Complete Guide from Installation to Automated Development
Complete guide to Claude Code covering environment setup, permission configuration, Go Goals autonomous loops, Skills system, MCP protocol integration, and version control for automated development.
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·3 min
AI-Powered Vulnerability Discovery in Practice: A Complete Guide to LLM Security Applications
A deep dive into LLM applications in cybersecurity offense and defense, covering AI code auditing, automated vulnerability discovery, CTF Agents, and more, with tool selection guides and compliance guidelines.
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·3 min
Anthropic's Conceptual Reasoning Index (CRI): A New Standard for Evaluating AI Reasoning Capabilities
Anthropic introduces the Conceptual Reasoning Index (CRI), shifting AI evaluation from answer correctness to conceptual generalization and reasoning processes. A deep dive into CRI's design, industry implications, and community debate.
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·4 min
Can AI Really Find Vulnerabilities While You Sleep and Earn Easy Money? The Truth About SRC Bug Bounties
Deep analysis of the viral "AI autopilot bug hunting for five-figure income" narrative, examining how SRC platforms actually work, AI's real role in vulnerability discovery, and the traffic schemes behind "packaged Skills."
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·2 min
Spring AI 2.0 in Practice: Core Agent Development Capabilities and Code Generation Assistant Project
Deep dive into Spring AI 2.0 core updates, covering Agent autonomous reasoning, tool calling, and iterative loops, with a hands-on Claude Code-style assistant project using ChatClient, Streaming, Memory, Tools, and MCP.
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·3 min
Advanced AI Programming: The Complete Path from Vibe Coding to Engineering-Grade Development
A deep dive into advancing AI programming from Vibe Coding to engineering-grade development, covering Brainstorming, SubAgent collaboration, and custom plugins to build deployable real-world projects.
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·3 min
Designing a Hexapod Spider Robot from Scratch: Fusion 360 Modeling and Inverse Kinematics in Practice
A maker designs a hexapod spider robot from scratch in Fusion 360, tackling inverse kinematics, 18-servo gait planning, and mechanical design trade-offs.
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·4 min
AV Evasion Techniques Tested: Three Methods to Bypass Antivirus with CS Payloads & The Truth About SRC Bug Bounties
In-depth analysis of Cobalt Strike AV evasion techniques tested: Base64 encoding, junk character insertion, and code separation methods for bypassing antivirus, plus the real thresholds and compliance boundaries of SRC bug bounties.
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·4 min
Advancing Your Self-Taught Machine Learning Journey: Three Paths Forward After Completing Foundational Projects
After completing MNIST implementation and paper reproduction, how should self-taught ML learners advance? This article outlines three paths: computer vision, NLP, and math foundations.
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·3 min
How to Plan an AI Security Career at 16? A Roadmap for Building Core Skills from Scratch
A 16-year-old wants to become an ML security engineer. This article outlines the AI security knowledge system, covering math foundations, ML, cybersecurity, and adversarial attack practice.
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·3 min
Getting Started with Deep Learning: A Complete Guide to Free Learning Resources and Roadmap
A curated guide to free deep learning resources for ML learners, covering Andrew Ng's courses, CS231n, fast.ai, PyTorch tutorials, and a complete learning roadmap from theory to Kaggle practice.
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·3 min
6-Month AI Engineer Learning Roadmap: A Deep Review and Pitfall Guide
Deep analysis of a viral Reddit AI learning roadmap: covering Python, ML, deep learning, LLM engineering to job prep, identifying common pitfalls like missing math foundations and overly broad scope.
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·4 min
Relearning Machine Learning: Lessons Learned and an Efficient Study Path from Those Who've Been There
If you could restart your ML journey, what would you do differently? This article covers the top 3 beginner mistakes, where to invest your time, and a proven efficient learning path.
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