#trajectory persistence
30 related articles
·2 min
Grace Hopper: How the Mother of Compilers Changed the History of Software Development
Grace Hopper pioneered the compiler concept, co-created COBOL, and served as a U.S. Navy Rear Admiral. Her work transformed software development from machine code to human language.
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·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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Sakana AI Launches Marlin: An AI Agent…
·3 min
Sakana AI Launches Marlin: An AI Agent That Autonomously Completes Strategic Research in 8 Hours
Sakana AI launches Marlin, its first commercial product — an autonomous strategic research assistant that completes deep research in 8 hours, targeting finance, consulting, and think tanks.
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·4 min
Spring AI vs LangChain4j: How to Choose a Java AI Framework
In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.
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·2 min
MiniMax M3 Hands-On Review: 7 Hardcore Tasks Reveal Its True Coding Ability
MiniMax M3 scores just 58.3 in hands-on testing across 7 hardcore tasks including 3D scenes, physics sims, and optical refraction — formulas right, demos broken.
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·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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·3 min
GTA Meets AI World Generation: A Paradigm Revolution for Open-World Games
Exploring how AI world generation could transform GTA and open-world gaming. Deep dive into NeRF, 3D Gaussian Splatting, neural rendering, and their impact on the future of game development.
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Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Deep Dives·4 min
Deep Dive into OpenAI Codex /goal: A New Paradigm Where AI Agents Work Continuously Until the Goal Is Achieved
Deep dive into OpenAI Codex CLI's /goal command: from Ralph Loop origins and three-layer protection to Rust source architecture and the goal-oriented programming paradigm shift.
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