OpenAI launches GPT-5.2-Codex with increased security capabilities and longer-horizon abilities to build longer lasting agents.

Codex struggles with big-picture debugging in complex codebases. Deep Research excels at diagnosis when code context is large. Human testing and oversight still remain critical with AI coding. "Huh?!?

What if writing code was as simple as having a conversation? Imagine describing your idea in plain language—no technical jargon, no syntax struggles—and watching it transform into functional, ...

OpenAI on Thursday launched GPT-5.2-Codex on December 18, barely a week after unveiling its GPT-5.2 model series, as the company races to defend its position against Google's Gemini models. The new ...

GPT-5.2-Codex is described as the “most cyber-capable” Codex model to date i.e it is being deployed with additional cybersecurity safeguards and a more intentional access model, including ongoing ...

Artificial intelligence has become a transformative force in software development, promising to automate routine tasks, improve coding efficiency, and enhance developer productivity. In this rapidly ...

What if writing code wasn’t just for engineers anymore? Imagine a world where a UX designer tweaks an interface, a business analyst generates actionable insights, or a junior developer contributes to ...

If you’ve been watching the AI world this week, you probably noticed something interesting: OpenAI dropped GPT-5.1 Codex Max almost immediately after Google unveiled Antigravity, its agentic, ...

Across 2025, researchers documented a series of AI-related security risks, some already exploited in the wild, others ...

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