Chronological feed of everything captured from OpenAI.
OpenAI's GPT-Rosalind model series targets life sciences workflows, delivering superior performance in protein and chemical reasoning, genomics analysis, and biochemistry knowledge. It also enhances scientific tool utilization. This optimization positions it for specialized biomedical applications.
OpenAI introduces GPT-Rosalind, a frontier reasoning model optimized for biology, drug discovery, and translational medicine, excelling in protein/chemical reasoning, genomics, biochemistry, and scientific tool use. It aims to shorten the 10-15 year drug development timeline by enabling faster hypothesis generation and exploration of possibilities. Available as research preview via ChatGPT, Codex, and API for qualified customers like Amgen and Moderna.
OpenAI has introduced GPT-Rosalind, a frontier reasoning model optimized for biology, drug discovery, and translational medicine. Research lead Joy Jiao and product lead Yunyun Wang discussed its development on the OpenAI Podcast, highlighting improved research workflows now and progression toward autonomous labs. They emphasize responsible deployment from the outset to balance opportunity and accountability.
OpenAI has introduced GPT-Rosalind, a frontier reasoning model optimized for biology, drug discovery, and translational medicine. Research lead Joy Jiao and product lead Yunyun Wang discussed its development on the OpenAI Podcast with Andrew Mayne, highlighting improved research workflows, progression to autonomous labs, and responsible deployment. The podcast is available on Spotify, Apple Podcasts, and YouTube.
Eric Wallace from OpenAI discusses their advancements in building robust and aligned large language models (LLMs). The core insight involves treating safety as a scalable problem, utilizing threat modeling and
OpenAI’s Chief Scientist, Jakub Pachocki, discusses the rapid advancements in AI, emphasizing the pivot from theoretical research to practical, economically impactful applications. He highlights the critical role of continual learning and generalization in achieving advanced AI capabilities and addresses the societal implications of increasingly autonomous and capable models, including job displacement and wealth concentration, advocating for policy maker involvement and broader societal discourse.
OpenAI is proactively shaping the policy discourse around AI, proposing a new social contract that emphasizes public participation and equitable access. They advocate for policy innovations akin to historical general-purpose technologies, aiming to ensure AI benefits society broadly. This strategy involves engaging with policymakers and promoting solutions that align with democratic processes, moving beyond binary "hands-off" or "Duma view" approaches to AI governance.
Silicon Valley veterans Jony Ive and Sam Altman discuss the unique cultural and environmental factors of San Francisco that foster radical innovation, particularly in the AI space. They highlight a design philosophy that prioritizes insatiable curiosity, ambiguity, and user delight, aiming to create intuitive, non-distracting AI devices that enhance human life rather than compete for attention.
OpenAI executives describe the accelerating pace of AI development and its imminent, profound impact across all sectors. They advocate for proactive societal engagement and policy development to navigate the transition to a superintelligent future, emphasizing the need for broad access, resilient systems, and new economic structures to ensure equitable distribution of AI benefits and mitigate risks.
OpenAI introduces "Agent Skills," a framework enabling AI agents to discover and utilize modular instruction sets for repeatable task performance. These skills, packaged as folders of scripts and resources, integrate with Codex to streamline and standardize AI capabilities. The system supports various skill categories, including system-level, curated, and experimental, with distinct installation methods.
OpenAI has introduced a new Safety Fellowship program aimed at fostering independent research in AI safety and alignment. This initiative seeks to cultivate the next generation of talent in these critical fields. The program's objective is to advance robust solutions for the responsible development and deployment of artificial intelligence.
The OpenAI Codex GitHub Action simplifies integrating Codex into CI/CD workflows, particularly for automated code review, by handling CLI installation and secure API proxy configuration. It emphasizes security through granular privilege control and secret management via GitHub Actions secrets, supporting both OpenAI and Azure OpenAI services. This enables developers to create custom AI-driven automation with controlled access to potentially sensitive operations.
The dialogue explores the complex interplay between AI development, governmental power, and societal responsibility. Key tensions involve the potential for AI to be a universal good versus benefiting a select few, the trustworthiness of government agencies in regulating AI, and the industry's ethical obligations. The inherent "messiness" of humanity is highlighted as a factor in AI's integration, with calls for solutions promoting abundance and addressing critical global challenges. A core theme is the need for AI creators to be accountable for their innovations.
OpenAI has extended ChatGPT's voice mode functionality to Apple CarPlay, enabling hands-free LLM interaction during transit. The feature is deploying to iOS 26.4+ devices on supported CarPlay hardware.
OpenAI CEO Sam Altman discusses the profound and multifaceted impact of AI, emphasizing its potential for societal transformation while acknowledging significant risks. The company prioritizes concentrating compute resources on key projects like automated researchers and personal agents, even if it means discontinuing other promising ventures. Altman stresses the importance of democratic governance over AI development and the need for societal resilience against potential threats, highlighting the complex ethical and practical considerations in shaping an AI-integrated future.
OpenAI recently closed a funding round, raising $122 billion in committed capital. This investment values the company at $852 billion post-money. The capital infusion is intended to scale OpenAI's efforts in expanding AI accessibility and its benefits globally.
The OpenAI Codex plugin integrates directly into Claude Code, offering developers a streamlined way to leverage Codex for code reviews and task delegation. It provides commands for various code review types, including standard and adversarial, and facilitates background task processing with features to monitor and manage jobs. The plugin utilizes existing local Codex installations and configurations, ensuring consistent behavior and authentication.
OpenAI introduces the Parameter Golf Challenge, a competition focused on developing highly efficient language models within strict resource constraints. Participants aim to optimize model performance (measured by bits per byte compression on FineWeb) under a 16MB artifact size limit and a 10-minute training duration on 8xH100 GPUs. The challenge encourages novel architectures, compression techniques, and other creative solutions to advance parameter-limited AI research. OpenAI is offering $1,000,000 in compute credits to facilitate participation and foster innovation in this domain.
OpenAI's Apps SDK UI is a React-based design system tailored for building ChatGPT applications, leveraging Tailwind 4 and Radix primitives. It provides a set of design tokens and accessible components to ensure visual and behavioral consistency within the ChatGPT ecosystem.
OpenAI Harmony is a high-performance, Rust-powered response format designed for OpenAI's gpt-oss open-weight models. It standardizes conversation structures, reasoning output, and function calls, ensuring consistent formatting and loss-free token sequences. While gpt-oss models require Harmony, API users are abstracted from this detail; however, custom inference solutions must integrate Harmony for correct functionality. Harmony further provides robust Python support through PyO3 bindings.