ஓபன்ஏஐ ஜிபிடி 5.5: திறமையான ஏஜென்டிக் கோடிங், அறிவுசார் பணிகள் மற்றும் ஆராய்ச்சிக்காக

This episode of Exploring Modern AI in Tamil podcast analyzes how GPT-5.5 improves agentic coding workflows compared to previous models.

- Explains the significance of the 82.7% Terminal-Bench 2.0 score.

- Describe the new cybersecurity safeguards and Trusted Access for Cyber program.

- Discuss scientific research gains using GeneBench and bioinformatics data analysis tools.

- Explain how the inference co-design with NVIDIA systems enables better performance.

- Explain how the model achieved breakthrough results in genetics and quantitative biology research.

- Discuss how these automation gains specifically impact business productivity and operational costs.

- Highlight how the 1M token context window streamlines full codebase analysis for developers.

- Compare these results directly against Claude Opus 4.7 and Gemini 3.1 Pro metrics.

- Explain how GPT-5.5 Pro assists with complex mathematics and scientific data analysis.

- Summarize the new safety evaluations for cyber and biological threat risks.

- Suggest a strategy for routing tasks between standard and Pro model versions.

- Detail how researchers use GPT-5.5 Pro to accelerate large-scale genomics and algebraic-geometry projects.

- Suggest how small business teams can utilize the new computer use automation features.

- Outline a practical roadmap for integrating these agentic models into standard engineering pipelines.

- Propose a step-by-step plan for developers to transition existing pipelines to GPT-5.5.