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OpenAI is previewing a personal finance experience in ChatGPT for Pro users in the U.S., allowing them to securely connect financial accounts, view a dashboard, and ask context-aware financial questions, powered by GPT-5.5.
The author explains they skip Codex's planning mode, instead using a conversation in chat to reach a pseudo-plan, then implement.
A user running multiple agents reports that after upgrading to GPT-5.5, the model suddenly became less capable at executing tool calls and more prone to giving suggestions instead of acting, speculating OpenAI may be throttling for load management.
NVIDIA engineers and researchers are using OpenAI Codex, powered by GPT-5.5, as their default tool for complex engineering tasks and end-to-end machine learning workflows. The article highlights significant productivity gains, autonomous system building, and research automation achieved through this integration on NVIDIA infrastructure.
Report claims that GPT-5.5 Instant shows significant improvements in factual accuracy, particularly in high-stakes fields like medicine, law, and finance.
A tutorial video demonstrating how to use OpenAI's Codex with GPT-5.5 for 'vibe coding' to build web, desktop, and iOS applications without traditional coding, including Firebase integration and Vercel deployment.
Simon Willison evaluates OpenAI's GPT-5.5 cyber capabilities, examining its performance in cybersecurity tasks.
OpenAI has released GPT-5.5, a significant upgrade to its frontier AI model, boasting superior capabilities in agentic coding, research, and multi-step task execution while maintaining efficiency and speed.
A user recorded a brief leak in OpenAI Codex that exposed several unreleased internal models including GPT-5.5, Arcanine, and Glacier-alpha before the interface was patched.
User testing shows the new 5.4 Pro behaves like a stealth 5.5-thinking-xhigh, hinting OpenAI is quietly giving Pro subscribers early access to stronger reasoning.
GPT-5.5 brings a 19 percentage point improvement in multi-step reasoning and financial modeling, significantly reducing the burden of knowledge work, which excites the Box team.