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A deep dive into OpenAI Codex: browser automation, Goal execution, plugins, Skills ecosystem, and coding power. Master 90% of Codex's features and transform your workflow.

OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.

Zer0Fit wraps Google's TabFM and TimesFM foundation models as MCP servers, letting users run classification, regression, and time series forecasting through a local LLM chat interface — no ML code required.

Is $200/month for AI Agents worth it? We break down credit consumption mechanics, tool tradeoffs, and ROI calculations for ChatGPT Pro, Claude Max, and more.

OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.

OpenAI launches GPT-5.6 with three models (Soul/Terra/Luna) targeting Claude. Leads Agent benchmark by 13 points at 1/4 the cost. ChatGPT Work super app takes on Anthropic directly.

Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.

Claude Code, Codex, or Cursor? This in-depth comparison covers each tool's positioning, ideal users, and how to combine them for maximum productivity in your AI coding workflow.

OpenAI launches ChatGPT Work and the GPT-5.6 model family—Sol, Terra, and Luna. From financial analysis to local file processing and interactive site generation, AI moves from answering questions to getting work done.

Hands-on with GPT-5.6 and GPT-Live: build a playable shooter game from one prompt in 19 minutes, generate a premium animated website via multimodal understanding, and experience emotional two-way voice conversation. A full review of ChatGPT and Codex deeply integrated.

Hands-on with GPT-5.6 Sol: auto-generate real-time voice anime characters from one prompt, write physics engines from scratch, and build unfamiliar toolchains autonomously. In-depth review of coding, agentic tasks, benchmarks, and its hallucination weakness.

An in-depth look at LangChain V1.3's core philosophy: from RAG to multi-agent workflows. Master LangGraph, Chain, and DeepAgent, learn token control and Human-in-the-loop, and become a true master of AI app development.

A developer got early access to GPT-5.6 and ran extreme tests over 1.5 months across 67 projects, burning ~$200K in inference. Here's how it performed on code refactoring, React Native rewrites, GRUB boot repair, and more.

A hands-on comparison of AI models—Fable 5, DeepSeek V4 Flash, GLM 5.2, Qwen 3.6—building a sales CRM. The priciest cost $27.69, the cheapest just 30 cents. A deep dive into open-source LLM coding value.

OpenAI releases GPT-5.6, officially merging ChatGPT with the coding tool Codex to build a complete AI workbench. New Soul, Terra, and Nuna tiers cover coding, task automation, and web deployment.

An in-depth guide to building an AI-driven second brain with Obsidian + Hermes Agent. Covers living files, VPS deployment, core memory mechanisms, and skill visualization.

OpenAI launches the GPT-5.6 family—Sol, Terra, and Luna—alongside ChatGPT Work, a new desktop app, and Sites. AI evolves from a chat tool into a true productivity partner, completing financial analysis, presentations, and cross-platform collaboration in one operation.

A developer stress-tested GPT-5.6 for six weeks across 67 projects, burning $180K-$240K in inference. Real cases of task persistence, Rust rewrites, autonomous browser control — plus honest frontend and 3D shortfalls.

An in-depth hands-on test of the GPT-5.6 series' three models—Sol, Terra, Luna—compared with Fable and Sonnet 5. Sol wins overall at nearly half the price. Full analysis of prototyping, code debugging, and browser use.

Research Radar is an open-source local AI agent that fetches arXiv papers daily, scores and filters them in batches, deep-reads summaries, and pushes truly relevant content via Telegram. Supports local models, keeps data on your machine, free and self-hostable.