OpenAI Releases GABRIEL: Open-Source Toolkit for AI-Assisted Social Science Research
OpenAI has released GABRIEL, an open-source toolkit that leverages GPT models to convert qualitative text and images into quantitative data for social science research. The tool is designed to help researchers analyze large-scale qualitative datasets that would otherwise be impractical to process manually. It represents an application of frontier LLMs to academic research methodology rather than a new model or capability announcement.
Related guides (3)
Related events (8)
OpenAI Releases Economic Analysis of ChatGPT's Impact and Launches Labor Market Research Collaboration
OpenAI has published an economic analysis examining ChatGPT's impact on the broader economy. Alongside this, the company is launching a new research collaboration focused on studying AI's effects on labor markets and productivity. The initiative signals OpenAI's growing engagement with economic and workforce policy questions as scrutiny of AI's labor displacement effects intensifies.
OpenAI Introduces Deep Research Agent
OpenAI has launched 'deep research,' an agentic capability that uses reasoning to synthesize large volumes of online information and complete multi-step research tasks autonomously. The feature is initially available to ChatGPT Pro users, with rollout to Plus and Team tiers to follow. It represents a step toward practical autonomous research agents built on OpenAI's reasoning model infrastructure.
Measuring AI's capability to accelerate biological research
OpenAI introduces a real-world evaluation framework designed to measure how AI systems can accelerate biological research in wet lab settings. The work uses GPT-5 to optimize a molecular cloning protocol as a concrete demonstration case. The framework explicitly addresses both the potential benefits and biosecurity risks of AI-assisted experimentation, positioning this as a dual-use capability assessment.
Introducing ChatGPT
OpenAI announced ChatGPT, a conversational model trained to engage in dialogue, answer follow-up questions, acknowledge errors, challenge incorrect premises, and decline inappropriate requests. The model's dialogue format represented a significant step in making large language models accessible and interactive for general users. This November 2022 launch marked a pivotal moment in public AI adoption.
Medical Research with GPT-5
OpenAI published a blog post describing how GPT-5 is being used for medical research applications. The post appears to be an announcement or case study highlighting GPT-5's capabilities in a healthcare/research context. Specific details about methods, benchmarks, or outcomes are not provided in the available text.
OpenAI introduces GPT-Rosalind with life sciences and biological reasoning capabilities
OpenAI announced GPT-Rosalind, a model or product variant targeting life sciences research with enhanced capabilities in biological reasoning, medicinal chemistry, genomics analysis, and experimental workflow support. The announcement positions this as a domain-specialized offering from OpenAI for scientific research applications. This represents OpenAI's continued push into vertical AI for high-value scientific domains.
OpenAI Introduces GDPval: Evaluation of Model Performance on Economically Valuable Real-World Tasks
OpenAI has released GDPval, a new benchmark designed to measure AI model performance on real-world economically valuable tasks spanning 44 occupations. The evaluation aims to move beyond traditional academic benchmarks by grounding model assessment in tasks with direct economic relevance. This represents OpenAI's effort to better quantify the practical utility and labor-market impact of frontier models.
GPT-4 Release
OpenAI released GPT-4, a large multimodal model accepting image and text inputs and producing text outputs. The model demonstrates human-level performance on various professional and academic benchmarks. It represents OpenAI's latest milestone in scaling deep learning.