#feedback control loop
1253 related articles
·4 min
OpenAI Employee Shares How to Build an AI Work Operating System with Codex
OpenAI's Jason Liu shares how he uses ChatGPT Workbench and Codex to build an AI work OS: Chief of Staff automation, persistent threads, Skills/Plugins, browser control, and app-building methodology.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·2 min
Virgin Atlantic Uses ChatGPT: Weeks of Work Compressed to Hours
Virgin Atlantic deploys ChatGPT Enterprise, using Codex to build custom dashboards, integrate multi-source data, and compress weeks of analysis into hours, accelerating product development and CX decisions.
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·3 min
ChatGPT Autonomous Ticket Hunting in Action: AI Agent Auto-Monitoring and Ticket Purchase Demo
Demo of ChatGPT Work as an AI Agent autonomously browsing AMC's website for IMAX tickets, setting hourly auto-checks for cancellations, and sending notifications.
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·2 min
ChatGPT Voice Upgrade: Driving Complete Workflows Through Natural Conversation
OpenAI demos ChatGPT voice on desktop driving full workflows — blog drafting, code debugging, and team collaboration through natural conversation.
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·2 min
How Enterprises Are Reshaping Work with ChatGPT: Boosting Efficiency and Automating Workflows
Discover how Zapier, Shopify, and others use ChatGPT to automate workflows, multiply individual output by 4-5x, and achieve real cost and time savings.
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·4 min
Kimi K3 Deep Dive: 2.8 Trillion Parameter Open-Source Model Closes the Gap with Closed-Source Frontier for the First Time
Moonshot AI releases Kimi K3 open-weight model with 2.8T parameters and 1M token context. Our deep dive covers coding, 3D dev, agent capabilities, and safety concerns.
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·4 min
Kimi K2/K3 Technical Speculation: Deep Dive into RL Hyperparameters and Multi-Teacher Distillation
Deep analysis of RL hyperparameter tuning challenges and 9-policy multi-teacher distillation in Kimi K2/K3 training, exploring the shift from scale to training craft.
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·2 min
AI-Generated Short Drama "Nido de Villanas": A New Form of Industrialized Short-Video Content
Deep analysis of the AI-generated Spanish short drama Nido de Villanas, exploring how generative AI is transforming short drama production and driving content industrialization.
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·4 min
Deep Dive into AI Short Drama "Nido de Villanas": How AIGC Mass-Produces Binge-Worthy Content
Using AI-generated Spanish short drama Nido de Villanas as a case study to analyze AIGC script generation, character consistency, multilingual dubbing, and the commercial logic of scaled AI drama production.
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·4 min
Deep Dive into AI Short Drama "Nido de Villanas": How AIGC Mass-Produces Binge-Worthy Content
Using AI-generated Spanish short drama "Nido de Villanas" as a case study, this deep dive analyzes AIGC script generation, character consistency, multilingual dubbing, and the industry trends of scaled AI drama production.
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·3 min
Monocular RGB Human Mesh Reconstruction: Real-Time Motion Capture at 18 FPS with Rust + CUDA
Deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on RTX 5080. Exploring its architecture, Metal porting plans, and applications in VTuber, AR/VR, and sports analysis.
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·3 min
Monocular RGB Human Mesh Reconstruction: Real-Time Motion Capture at 18 FPS with Rust + CUDA
A deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on an RTX 5080.
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·4 min
Getting Started with AI Agent Development: A Complete Guide from Concept to Practice
A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.
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·3 min
Using AI Agents to Write Research Experiment Logs: A Complete Methodology and Workflow
A detailed guide on using AI Agents to build Research Logs for scientific experiments, covering skeleton structure, daily workflows, pre-experiment thinking standards, code change tracking, and Agent-researcher division of labor.
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·3 min
Using AI Agents to Write Research Experiment Logs: A Complete Methodology and Workflow
Learn how to use AI Agents to build a Research Log for scientific experiments, covering structure, daily workflows, pre-experiment thinking, code change tracking, and human-AI division of labor.
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·3 min
AI Research Automation: More Like Data Cleaning Than Inventing the Transformer
AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.
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·3 min
AI Research Automation: More Like Data Cleaning Than Inventing the Transformer
Why AI research automation looks more like data cleaning than inventing the Transformer. Exploring the value of automating 60%-80% of repetitive research work and how human-AI collaboration reshapes the research paradigm.
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·2 min
How Complaining Erodes Your Mind: Understanding the Self-Reinforcing Nature of Attention
Habitual complaining trains your brain to find more negativity, creating a vicious cycle. Learn about the self-reinforcing nature of attention and practical ways to break free from negative loops.
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·3 min
From Frontend to Agent Development: A Complete 6-Week Systematic Learning Path
A 6-week systematic learning path for frontend engineers transitioning to AI Agent development, covering core architecture, ReAct, multi-agent collaboration, RAG integration, and deployment.
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