Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence
Focuses on Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence.
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Focuses on Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence.
Focuses on Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents.
How the Verus "program verifier", which automatically checks code against a mathematical specification of its functionality, helps increase security assurance in software...
Polimill uses OpenAI GPT models and Codex to help municipalities search and use administrative knowledge while accelerating development.
Focuses on Autonomous discovery of new structure-plausibility laws for explainable and rapid crystal diagnosis and screening.
Focuses on Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition.
Focuses on AsymSpec: Context-Asymmetric Speculative Decoding for Agentic LLMs.
Focuses on Code World Model: Coding Agent as World Brain.
Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.
Focuses on SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?.
Focuses on EVOMAL: Self-Poisoning in Self-Evolving Coding Agents.
Use the Admin plugin for ChatGPT Work and Codex to analyze workspace usage, manage members and permissions, adjust limits, and act on admin requests.
GPT‑5.6 is now available in Kiro, helping developers plan, build, review, and test software with better price-performance.
Focuses on Array-Agnostic Ambisonics Encoding via Diffusion Posterior Sampling.
Focuses on Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline.
Focuses on VizAnchor: Decoding Manipulation Intent from Tampering Visualizations via Dual-Anchor Reasoning.
Focuses on From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation.
Hugging Face published How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code.
Focuses on Decoding silent reading from non-invasive EEG.
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
Focuses on Fourier is Frontier: Frequency-Aware Autoencoding for High-Fidelity Music Reconstruction.
OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.
Focuses on DynCur-Geo: Dynamic Curiosity Reward Shaping for Multimodal Active Geo-Localization.
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster.
Focuses on VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies.
Focuses on Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding.
See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.
Focuses on EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding.
Focuses on Understanding the Architecture of Coding Agents: An Exploratory Study Using a Research Prototype.
Focuses on Stealing Reasoning Traces from Proprietary LLM APIs.
Focuses on SpecPath: Testing Coding Agents Across Contract-Equivalent Specification Histories.
Focuses on DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training.
Focuses on Same physical state, different collective dynamics: state encodings select synchronization outcomes in language-model agents.
Focuses on Learning Globally Reusable Skills for Coding Agents.