#Codex Computer Use
469 related articles
·3 min
GPT-5.6 Launches: Three New Models and Codex Officially Merges into ChatGPT
OpenAI launches GPT-5.6 with three models — Soul, Tola, and Luna — delivering benchmark scores 13 points ahead of Anthropic at 1/16th the cost, while merging Codex into ChatGPT to shift from ChatBot to Agent.
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·3 min
GPT-5.6 Released: Sol, Terra, and Luna Reshape AI Programming and Office Automation
OpenAI launches GPT-5.6 with three models — Sol, Terra, and Luna — plus ChatGPT Work, a new desktop app, and Hosted Sites. Codex now autonomously trains models.
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·6 min
GPT-5.6 Hands-On Deep Dive: ChatGPT and Codex Merge, Full Analysis of the Sol Model
GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.
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·6 min
GPT-5.6 Fully Available: A Deep Dive into the Sol/Terra/Luna Three-Tier Models and Four-Agent Parallelism
GPT-5.6 is now officially available to all users, launching the three-tier Sol, Terra, and Luna models with four-agent parallelism. An in-depth look at the official benchmarks, API pricing, safety, and Ultra mode.
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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
A Deep Dive into Cloud Coding Agents: How Users in China Can Choose Wisely
What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.
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·8 min
OpenAI Merges Codex with ChatGPT: A Deep Dive into the Unified Desktop App Overhaul
OpenAI officially merges its coding agent Codex with ChatGPT into a unified desktop app, adding new coding workflows, a Chrome extension, a built-in browser, and GPT-5.6-powered Computer Use capabilities.
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·4 min
The OpenAI Codex Product Philosophy: How AI Engineers Are Shifting from Writing Code to Managing Agents
OpenAI Codex isn't about replacing engineers—it's about empowering them. A deep dive into the AI Engineer conference talk: from code completion to long-horizon agents, Value Maxing, and managing agent teams.
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·7 min
ManagedAgents.sh: A Deep Dive into the Model-Agnostic Open-Source Managed Agent Platform
ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.
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·6 min
Omnigent Open-Sourced: A Meta-Harness for AI Coding Agents Built by Databricks
Databricks open-sources Omnigent, a Meta-Harness for orchestrating Claude Code, Codex, and more AI coding assistants together—with built-in guardrails, cross-model workflows, and real-time collaboration. Get started in 10 minutes.
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·5 min
The Complete Guide to Claude Skills: Configure Once, Reuse Your Workflow Forever
An in-depth guide to Claude Skills: from built-in skills and plugins to building your own custom skills and continuous refinement. Learn to end repetitive instructions and build an automated, consistent AI workflow.
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·7 min
From Vibe Coding to Engineered AI Programming: A Practical Guide to Enterprise Development
AI coding tools are changing development, but Vibe Coding hides risks in code quality and maintenance. This article explores Engineered AI Programming, compares Codex and Claude Code, and reveals real enterprise development paths.
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·3 min
Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models
Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.
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·7 min
Demystifying Claude Code's Harness in 60 Lines of Python: The Core of AI Coding Tool Performance Differences
The same model scores 77% in Claude Code but jumps to 93% in Cursor—the only variable is the Harness. This article dissects how AI coding tools work in 60 lines of Python.
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·7 min
Spec-Driven Development: Andrew Ng Teaches You to Master AI Coding Agents Efficiently
Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
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·6 min
Understanding the Limits of Vibe Coding: A Practical Guide to AI Engineering-Grade Programming
An in-depth look at the difference between Vibe Coding and AI engineering-grade programming. Can AI replace programmers? From Claude Code and Codex to Cursor, revealing the real limits, enterprise pain points, and engineering solutions of AI coding tools.
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·6 min
Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries
Doubao and Qwen have retired their AI Agent features. The real reason isn't regulation—it's that companion-chat users don't pay, making compute costs unrecoverable. A deep dive into AI's cost dilemma.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Save Money
Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Cut Costs
How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.
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·3 min
The 7-Level Claude Code Mastery Guide: From Basic Chat to Autonomous AI Agents
From chat to autonomous agents: a 7-level Claude Code mastery guide covering model selection, effective prompting, tool integration, sub-agents, skills, safety, and autonomous operation.
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