Category
Research
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3 Questions: Using AI to help Olympic skaters land a quint
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Study: Platforms that rank the latest LLMs can be unreliable
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“This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio
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Helping AI agents search to get the best results out of large language models
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GPT-5 lowers the cost of cell-free protein synthesis
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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How generative AI can help scientists synthesize complex materials
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Why it’s critical to move beyond overly aggregated machine-learning metrics
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At MIT, a continued commitment to understanding intelligence
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3 Questions: How AI could optimize the power grid
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Decoding the Arctic to predict winter weather
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Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care
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MIT scientists investigate memorization risk in the age of clinical AI
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Google’s year in review: 8 areas with research breakthroughs in 2025
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Marine Biological Laboratory Explores Human Memory With AI and Virtual Reality
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Guided learning lets “untrainable” neural networks realize their potential
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A new way to increase the capabilities of large language models
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A “scientific sandbox” lets researchers explore the evolution of vision systems
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Evaluating AI’s ability to perform scientific research tasks
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Measuring AI’s capability to accelerate biological research
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How confessions can keep language models honest
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Early experiments in accelerating science with GPT-5
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How evals drive the next chapter in AI for businesses
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Understanding neural networks through sparse circuits
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Introducing IndQA
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Defining and evaluating political bias in LLMs
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Sora 2 is here
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How people are using ChatGPT
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Why language models hallucinate
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Early methods for studying affective use and emotional well-being on ChatGPT
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Introducing deep research
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OpenAI o3-mini System Card
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OpenAI o3-mini
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Computer-Using Agent
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Trading inference-time compute for adversarial robustness
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OpenAI o1 System Card
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Advancing red teaming with people and AI
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Introducing SimpleQA
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Simplifying, stabilizing, and scaling continuous-time consistency models
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Evaluating fairness in ChatGPT
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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
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Learning to reason with LLMs
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OpenAI o1-mini
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Introducing SWE-bench Verified
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Improving Model Safety Behavior with Rule-Based Rewards
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GPT-4o mini: advancing cost-efficient intelligence
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Prover-Verifier Games improve legibility of language model outputs
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OpenAI and Los Alamos National Laboratory announce research partnership
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Consistency Models
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A Holistic Approach to Undesired Content Detection in the Real World
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Improved Techniques for Training Consistency Models
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Extracting Concepts from GPT-4
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Hello GPT-4o
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Understanding the source of what we see and hear online
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The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
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Video generation models as world simulators
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Building an early warning system for LLM-aided biological threat creation
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Improving mathematical reasoning with process supervision
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Democratic inputs to AI
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GPTs are GPTs: An early look at the labor market impact potential of large language models
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GPT-4
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GPT-4
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Point-E: A system for generating 3D point clouds from complex prompts
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Scaling laws for reward model overoptimization
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Introducing Whisper
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Efficient training of language models to fill in the middle
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DALL·E 2 pre-training mitigations
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Learning to play Minecraft with Video PreTraining
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Evolution through large models
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Techniques for training large neural networks
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Teaching models to express their uncertainty in words
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Hierarchical text-conditional image generation with CLIP latents
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A research agenda for assessing the economic impacts of code generation models
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Solving (some) formal math olympiad problems
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Text and code embeddings by contrastive pre-training
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WebGPT: Improving the factual accuracy of language models through web browsing
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Solving math word problems
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TruthfulQA: Measuring how models mimic human falsehoods
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Introducing Triton: Open-source GPU programming for neural networks
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Evaluating large language models trained on code
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Multimodal neurons in artificial neural networks
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Understanding the capabilities, limitations, and societal impact of large language models
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Scaling Kubernetes to 7,500 nodes
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DALL·E: Creating images from text
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CLIP: Connecting text and images
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Generative language modeling for automated theorem proving
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Image GPT
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Language models are few-shot learners
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AI and efficiency
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Jukebox
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Improving verifiability in AI development
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OpenAI Microscope
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Scaling laws for neural language models
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Dota 2 with large scale deep reinforcement learning
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Deep double descent
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Procgen Benchmark
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GPT-2: 1.5B release
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Solving Rubik’s Cube with a robot hand