#behavior tree game AI
147 related articles
·6 min
Grok 4.5 Coding Benchmark: A Deep Dive into Performance, Speed, and Cost
xAI releases Grok 4.5, purpose-built for coding agents. 80 TPS speed, $2/M input tokens, SWE Bench Pro score of 64.7, and 4.2x better token efficiency than Opus 4.8. A deep hands-on review.
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·4 min
Deep Dive into Asio: The De Facto Standard and Core Design of C++ Asynchronous Network Programming
A comprehensive analysis of Asio (Boost.Asio) covering its Proactor async model, completion token mechanism, C++20 coroutine support, and cross-platform I/O abstraction for high-performance C++ networking.
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·5 min
Getting Started with AI Agents: Concepts, Architecture, and Core Components Explained
What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.
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·4 min
GSAP in Practice: Build Stunning Landing Page Animations from Scratch
Master GSAP animations in practice: ScrollTrigger, SplitText, Timeline orchestration, and frame-rate-consistent infinite scroll — with full code examples. Now completely free.
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·8 min
GPT-5.6 Hands-On: Farm Automation, Mathematical Breakthroughs, and End-to-End AI Execution
GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.
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·5 min
The ETF That Excludes Musk: How Values-Based Investing Is Reshaping Capital Flows
Two new ETFs explicitly exclude Musk's companies like Tesla and SpaceX, setting a precedent for excluding a specific entrepreneur. A deep dive into values-based investing, portfolio challenges, and market personalization.
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·6 min
OpenAI Releases GPT-5.6: Cybersecurity Capabilities Take Center Stage
OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.
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·3 min
Visualize and Edit AI Reasoning Chains: Making LLM Thinking Transparent and Controllable
A new web tool visualizes and lets users edit AI chain-of-thought reasoning. Explore how it works, its use cases, and the limits of LLM interpretability.
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·3 min
The Platner Scandal: Platform vs. Character in the American Left
Maine Senate candidate Platner faces sexual assault allegations, sparking a left-wing debate over platform vs. character — revealing deep fractures in the U.S. progressive movement.
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·4 min
Spring AI Alibaba Graph in Practice: HR Recruitment Workflow Agent Design and Core Technical Analysis
Build an HR recruitment workflow Agent with Spring AI Alibaba Graph, covering resume parsing, job matching, tiered question generation, HITL checkpointing, and time travel state rollback across 20 core technical points.
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·7 min
DIY Four-Wheel Skid-Steer Off-Road Robot: A Full Hands-On Log of a Hoverboard Motor Build
A Reddit hobbyist builds a four-wheel skid-steer off-road robot using hoverboard hub motors, ODrive boards, and a Raspberry Pi 5. A deep dive into hardware, 4G teleop, ground friction challenges, and the road to ROS2 autonomous navigation.
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·4 min
AI-Powered Automatic Environment Patching: JS Reverse Engineering with Sandbox + Prompt
Learn how to automate JavaScript reverse engineering environment patching with AI + sandbox. Three-step flow diagnoses missing BOM/DOM objects, generates patches, and self-validates. Get encrypted data in seconds.
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·7 min
Prompt Engineering in Practice: A Programmer's Core Methodology for Prompt Tuning
A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.
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·6 min
Prompt Engineering in Practice: A Programmer's Core Methodology for Tuning Prompts
An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.
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·7 min
LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter
LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.
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·7 min
Tencent DiscoBench: The First Benchmark for Evaluating LLM Search Agents' Ambiguity Clarification Capabilities
Tencent Hunyuan and Tsinghua jointly release DiscoBench, the first benchmark evaluating search agents' dynamic ambiguity clarification. Covering 463 ambiguity instances across 11 domains, it reveals real weaknesses of mainstream LLMs.
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·6 min
Decoding the Obfuscated Bash Script on a Uniqlo T-Shirt: Tech Easter Eggs and Security Lessons
A tech enthusiast decoded an obfuscated Bash script on a Uniqlo T-shirt. This article breaks down the reverse-analysis approach, obfuscation tricks, and safe-execution principles.
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·7 min
Zero-Basis Learning Path for AI Agents: A Three-Stage Journey from Beginner to Deployment
A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.
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·6 min
The Transparency Crisis in AI Public Procurement: What the Palantir Controversy Means for Government AI Strategy
The Palantir procurement controversy reveals hidden risks in government AI strategy: opaque contracts, vendor lock-in, and oversight gaps. A deep analysis of AI public governance challenges.
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·6 min
Microsoft Layoffs Hit id Software: Doom Studio Loses Over Half Its Staff
Microsoft's massive Xbox layoffs deal a heavy blow to Doom developer id Software, cutting over 90 positions with QA hit hardest. An in-depth analysis of the layoff backdrop, causes of the industry winter, and its impact.
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