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Updates

470 articles changed in the last 30 days; 31 are new in the last 7 days. Newest articles first, by the date they were published. Page 22 of 47.

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Tuesday, May 19, 2026

  • WildBenchv4WildBench is an automated evaluation framework for large language models (LLMs) introduced by the Allen Institute for AI (AI2) in 2024.
  • Self-consistencyv4Self-consistency is a decoding strategy for large language models that samples multiple chain-of-thought reasoning paths for the same question and returns the answer that the majority of those paths agree on
  • SPIN (Self-Play Fine-Tuning)v5SPIN (Self-Play fIne-tuNing) is a post-training method for large language models introduced by researchers at the University of California, Los Angeles (UCLA) in January 2024.
  • nnsightv3nnsight is an open-source Python library for the interpretation and intervention of deep learning models, developed by the Bau Lab at Northeastern University.
  • TransformerLensv4TransformerLens is an open-source Python library for the mechanistic interpretability of GPT-style language models.
  • Golden Gate Claudev4Golden Gate Claude was a temporary, research-oriented public demonstration released by Anthropic on May 23, 2024
  • Refusal directionv6The refusal direction is a finding from mechanistic interpretability research that the refusal behavior of safety fine-tuned chat language models is mediated by a single
  • Logit lensv4The logit lens is a foundational technique in mechanistic interpretability for inspecting the intermediate computations of transformer language models.
  • Activation patchingv3Activation patching is a causal intervention technique used in mechanistic interpretability to identify which internal components of a neural network are causally responsible for a specific behaviour.
  • Transcoderv4A transcoder is a sparse neural network used in mechanistic interpretability research to approximate the input-to-output function of a component inside a transformer (most commonly an MLP sublayer) using a…
  • Crosscoderv5A crosscoder is a mechanistic interpretability tool, introduced by Anthropic in October 2024, that generalizes the sparse autoencoder (SAE) and the transcoder by learning a single shared dictionary of sparse…
  • Xynova Flex 1v5The Xynova Flex 1 is a high-degree-of-freedom tendon-driven dexterous hand built by Xynova (Chinese: 曦诺未来), a Hangzhou robotics startup founded in December 2024.
  • Xynova Flex 2v3The Xynova Flex 2 is the second-generation dexterous hand developed by Hangzhou-based robotics startup Xynova, publicly launched on May 13
  • Xynovav5Xynova (Chinese: 曦诺未来, also rendered Xynova Future) is a Hangzhou-based Chinese robotics startup, founded in December 2024 by Xia Yuxuan, that develops high-degree-of-freedom dexterous hands and the underlying…

Monday, May 18, 2026

  • AWS Inferentiav4AWS Inferentia is a family of custom application specific integrated circuits (ASICs) designed by Amazon Web Services for machine learning inference in the cloud, built to deliver, in AWS's words, "high…
  • GitHub Copilot Workspacev4GitHub Copilot Workspace was a task-centric, AI-powered developer environment built by GitHub Next, the research and incubation arm of GitHub.
  • BigCodeBenchv4BigCodeBench is a Python code generation benchmark of 1,140 function-level programming tasks that require composing 723 distinct function calls from 139 libraries across seven domains
  • SWE-Bench Prov4SWE-Bench Pro (stylized SWE-BENCH PRO) is a contamination-resistant benchmark, released by Scale AI in September 2025, that measures whether an AI coding agent can resolve long-horizon
  • Conjecture (AI Safety Lab)v4

Sunday, May 17, 2026

  • NIST AI Risk Management Frameworkv3The NIST AI Risk Management Framework, commonly abbreviated AI RMF, is a voluntary guidance document released by the United States National Institute of Standards and Technology on January 26, 2023, that helps…
  • Multi-token predictionv2Multi-token prediction (often abbreviated MTP) is a language modeling training objective in which the model is trained to predict several future tokens at each context position rather than only the next token.
NewerPage 22 of 47Older
Conjecture is a London-based artificial intelligence safety research company founded in March 2022 by Connor Leahy, Sid Black, and Gabriel Alfour, all alumni of EleutherAI.
  • Mila (Quebec AI Institute)v5Mila, formally styled Mila - Quebec Artificial Intelligence Institute (in French, Mila - Institut quebecois d'intelligence artificielle)
  • FAR.AIv4FAR.AI is an artificial intelligence safety research and education non-profit based in Berkeley, California, that conducts technical research on robustness, alignment, deception, and model evaluation while…
  • ARIA (UK)v4The Advanced Research and Invention Agency (ARIA) is a United Kingdom government research funding body, established by Act of Parliament in 2022 and made operational in January 2023, that backs "high-risk…
  • Diffusion Language Modelsv7Diffusion language models (DLMs, sometimes written dLLMs at frontier scale) are text generators that synthesize a sequence by iteratively denoising or unmasking many tokens in parallel
  • Blueprint for an AI Bill of Rightsv4The Blueprint for an AI Bill of Rights is a non-binding policy framework released by the White House Office of Science and Technology Policy (OSTP) on October 4, 2022, during the Biden-Harris administration.
  • NIST ARIAv5NIST ARIA (Assessing Risks and Impacts of AI) is a testing, evaluation, validation, and verification (TEVV) program operated by the United States National Institute of Standards and Technology (NIST) to…
  • Interim Measures for the Management of Generative AI Servicesv5The Interim Measures for the Management of Generative Artificial Intelligence Services (Chinese: 生成式人工智能服务管理暂行办法
  • South Korea AI Basic Actv5The South Korea AI Basic Act, officially the Framework Act on the Development of Artificial Intelligence and Establishment of a Foundation for Trust (Korean: 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법)
  • NuminaMathv5NuminaMath is a family of openly licensed competition-mathematics resources developed by the non-profit Project Numina, spanning the largest public dataset of competition math problems and solutions, a set of…
  • Mathlibv5Mathlib (formally mathlib4, the active Lean 4 incarnation) is the community-maintained, open-source unified library of formalized mathematics for the lean theorem prover, and it is the largest single library…
  • Goedel-Proverv4Goedel-Prover is an open-source large language model designed for automated formal theorem proving in Lean 4.
  • Lean (Theorem Prover)v6Lean is an open source interactive theorem prover and dependently typed functional programming language created by Leonardo de Moura, first launched at Microsoft Research Redmond in 2013.
  • AlphaGeometry 2v5AlphaGeometry 2 (often abbreviated AG2) is a neuro-symbolic artificial intelligence system built by Google DeepMind that solves Olympiad-level Euclidean geometry problems by pairing a Gemini-based language…
  • Representation Engineeringv6Representation Engineering (often abbreviated RepE) is a top-down approach to artificial-intelligence transparency and control that reads and manipulates high-level concepts (such as honesty, harmlessness, and…
  • Attribution Graphsv5Attribution graphs are a mechanistic interpretability technique developed by Anthropic that traces the internal "circuits" a large language model uses to turn a specific prompt into a specific output.
  • Weak-to-Strong Generalizationv4Weak-to-Strong Generalization is an empirical research direction, introduced in a December 2023 paper by OpenAI's Superalignment team
  • Polysemanticityv5Polysemanticity is the phenomenon in artificial neural networks in which a single neuron (or directional unit such as an attention head) activates strongly for multiple, semantically unrelated inputs or…
  • Superposition (Mechanistic Interpretability)v5Superposition is the phenomenon in which an artificial neural network represents more distinct features than it has dimensions in its activation space, by assigning those features to nearly-orthogonal (rather…
  • ChatGPT Agentv6ChatGPT Agent is an agentic feature of ChatGPT from Sam Altman's OpenAI that gives the chatbot its own virtual computer (complete with a graphical browser, a text browser, a Linux-style terminal, code…
  • MATH-500v6MATH-500 is a 500-problem benchmark for evaluating the mathematical reasoning of large language models, formed by holding out 500 problems from the test split of the MATH benchmark of Dan Hendrycks et al.
  • Genie 2v4Genie 2 is a foundation world model developed by Google DeepMind, unveiled on December 4, 2024.
  • Joint Embedding Predictive Architecturev7Joint Embedding Predictive Architecture (JEPA) is a family of self-supervised, non-generative neural network architectures proposed by Yann LeCun in his June 2022 position paper A Path Towards Autonomous…
  • Arena-Hardv7Arena-Hard (and its evaluation tool Arena-Hard-Auto) is an automatic large language model (LLM) benchmark developed by the team behind Chatbot Arena that scores instruction-tuned models on 500 challenging
  • Ring Attentionv7Ring Attention, formally Ring Attention with Blockwise Transformers, is a distributed algorithm for computing the self-attention operation of transformer neural networks across a ring of compute devices
  • Superalignmentv7Superalignment is the technical problem of steering and controlling AI systems that are far more capable than their human supervisors, that is, systems at or beyond the level of superintelligence, and the name…
  • BitNetv7BitNet is a family of large language model architectures developed by Microsoft Research Asia that constrain the weights of a transformer to extremely low bit-widths: initially a single bit ({-1, +1}) and…
  • Paris AI Action Summitv7The Paris AI Action Summit (French: Sommet pour l'action sur l'IA) was the third major international summit on artificial intelligence in the so-called "AI Safety Summit" series, held on 10-11 February 2025 at…
  • Colorado Artificial Intelligence Actv5The Colorado Artificial Intelligence Act (commonly abbreviated CAIA and codified as Senate Bill 24-205, "Consumer Protections for Artificial Intelligence") was a state statute signed by Governor Jared Polis on…
  • MiniMax-Text-01v6MiniMax-Text-01 is an open-weights, large-scale mixture-of-experts (MoE) language model released by Shanghai-based AI company MiniMax on January 14, 2025.
  • MiniMax M1v6MiniMax M1 (stylised MiniMax-M1) is an open-weight large language reasoning model released on 16 June 2025 by the Shanghai-based artificial-intelligence company MiniMax
  • Texas Responsible AI Governance Actv5The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), enacted as House Bill 149 of the 89th Texas Legislature, Regular Session, is a Texas state law that regulates artificial intelligence…
  • SambaNova SN40Lv6The SambaNova SN40L is a reconfigurable dataflow AI accelerator designed by SambaNova Systems and unveiled on September 19, 2023.
  • TPU v5pv6TPU v5p (Cloud TPU v5p) is Google's fifth-generation, performance-tier Tensor Processing Unit, a custom AI accelerator that delivers 459 bfloat16 TFLOPS per chip and scales to pods of 8,960 chips (about 4.45…
  • NVIDIA B100v8The NVIDIA B100 is a data center graphics processing unit (GPU) based on the Blackwell architecture, announced by NVIDIA CEO Jensen Huang at the GTC 2024 keynote on March 18, 2024.
  • TPU v5ev6Cloud TPU v5e (sometimes rendered TPU v5e or, internally at Google, TPUv5e) is the fifth-generation, efficiency-optimized member of Google's Tensor Processing Unit (TPU) family.
  • Positron AIv4Positron AI is an American semiconductor startup headquartered in Reno, Nevada, that designs and manufactures purpose-built hardware for transformer inference.
  • Trillium (TPU v6e)v6Trillium, also designated TPU v6e, is the sixth-generation Tensor Processing Unit developed by Google for machine learning training and inference workloads on Cloud TPU infrastructure.
  • Microsoft Azure Maia 100v7The Microsoft Azure Maia 100, often referred to as Maia 100, is a custom artificial intelligence accelerator designed by Microsoft for large-scale generative AI workloads running inside its Azure cloud.
  • Intel Gaudi 3v8Intel Gaudi 3 is a data-center AI accelerator from Intel, built by its Habana Labs unit, designed to train and run large language models as a lower-cost alternative to Nvidia's H100 GPU.
  • GPT-5 Prov5GPT-5 Pro is a large language model developed by OpenAI and the highest-capability variant of the GPT-5 model family.
  • OpenAI o3-prov5OpenAI o3-pro is a high-compute reasoning large language model released by OpenAI on June 10, 2025, designed as the professional, higher-reliability variant of the company's o3 reasoning model.
  • Stable Diffusion 3.5v6Stable Diffusion 3.5 (SD 3.5) is a family of open-weights text-to-image diffusion models released by Stability AI on October 22, 2024, comprising three variants: Stable Diffusion 3.5 Large (8.1 billion…
  • Tripo (3D generation)v6Tripo is an artificial-intelligence platform for generating three-dimensional models from text prompts, single images, multi-view images, or sketches.
  • MusicGenv6MusicGen is an open-weights text-to-music generation model from Meta AI's Fundamental AI Research (FAIR) team, released on 8 June 2023, that generates roughly 30-second music clips from a text prompt, a…
  • SWE-Lancerv6SWE-Lancer is a benchmark released by OpenAI in February 2025 that evaluates the ability of frontier large language models to perform real-world freelance software-engineering work.
  • Cybenchv5Cybench (short for Cybersecurity benchmark) is an open-source evaluation framework for measuring the cybersecurity capabilities and risks of large language model agents.
  • MLE-benchv9MLE-bench is a benchmark for measuring how well autonomous AI agents perform real-world machine learning engineering, released by OpenAI's Preparedness team on October 9, 2024 (arXiv:2410.07095).
  • Outer alignmentv6Outer alignment is the problem of specifying a training objective (typically a loss function, reward signal, or preference dataset) that correctly captures what the designers of a machine-learning system…
  • Inner alignmentv6Inner alignment is the AI-safety problem of ensuring that a learned model which is itself an optimizer (a mesa-optimizer) pursues the objective the training process actually selected for (the base objective)
  • Capability overhangv7Capability overhang is a term used in ai safety and AI policy discourse to describe a situation in which the latent capabilities of a deployed AI system
  • Goodhart's lawv6Goodhart's law states that "when a measure becomes a target, it ceases to be a good measure": any statistical regularity or metric tends to break down once it is used as a target for control or decision-making.
  • Mesa-optimizationv6Mesa-optimization is the situation in AI alignment research in which a learned model, typically a neural network produced by a machine-learning training process, is itself an optimizer that internally searches…
  • Sycophancy (artificial intelligence)v6Sycophancy in artificial intelligence is the tendency of large language models to tell users what they want to hear: tailoring responses to match a user's perceived beliefs, preferences, or emotional state…
  • Deceptive alignmentv7Deceptive alignment is a hypothesised AI failure mode in which a trained model internally pursues an objective different from the one specified by its training signal, yet deliberately behaves as if it shares…
  • AI Seoul Summitv7The AI Seoul Summit was an international meeting on artificial intelligence governance held on 21-22 May 2024 and co-hosted by the Republic of Korea and the United Kingdom.
  • Preparedness Framework (OpenAI)v8The Preparedness Framework is the risk-management policy maintained by openai for tracking, evaluating, forecasting, and mitigating catastrophic risks from frontier artificial-intelligence models.
  • Stanford Institute for Human-Centered Artificial Intelligencev8The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is a university-wide research institute at Stanford University, founded in 2019 and co-directed at launch by computer-science professor…
  • SB 1047 (California Safe and Secure Innovation for Frontier Artificial Intelligence Models Act)v6SB 1047, officially the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act
  • Frontier Safety Framework (Google DeepMind)v6The Frontier Safety Framework (FSF) is Google DeepMind's risk-management framework for identifying and mitigating severe risks from advanced frontier AI models, first published on 17 May 2024 and updated to…
  • Decagon (AI company)v4Decagon is an American artificial intelligence company that builds AI agents for enterprise customer service, deploying conversational agents that resolve customer inquiries autonomously across chat, email…
  • Pika Labsv5Pika Labs (legally incorporated as Mellis, Inc. and doing business as Pika) is an American generative AI company that builds consumer software for creating short AI videos from text, images, or clips.
  • François Cholletv7François Chollet (born 20 October 1989) is a French software engineer and artificial intelligence researcher best known as the creator of the Keras deep-learning library, the originator of the Abstraction and…
  • Magic (AI software engineer)v7Magic (legally Magic AI, Inc., often referenced by its primary domain magic.dev) is an American artificial intelligence company, founded in 2022 by Eric Steinberger and Sebastian De Ro, that builds proprietary…
  • Bob McGrewv4Bob McGrew is an American computer scientist, engineering executive, and technology investor best known for serving as Chief Research Officer at openai until his departure on September 25, 2024.
  • Richard S. Suttonv8Richard Stuart Sutton (born 1957 or 1958) is a Canadian-American computer scientist regarded as one of the founders of modern computational reinforcement learning, and a co-recipient, with Andrew G. Barto
  • Nat Friedmanv5Nathaniel Dourif "Nat" Friedman (born August 6, 1977) is an American entrepreneur and investor who served as chief executive officer of GitHub from 2018 to 2021, where he oversaw the launch of GitHub Copilot…
  • Daniel Grossv6Daniel Gross (born 1991) is an Israeli-American entrepreneur and venture investor who co-founded the AI laboratory Safe Superintelligence Inc. with Ilya Sutskever and Daniel Levy in June 2024 and served as its…
  • David Silverv7David Silver is a British computer scientist whose work has defined the modern field of deep reinforcement learning and computer game-playing.
  • Christopher Manningv5Christopher Manning is an Australian-American computer scientist and computational linguist at Stanford University who is one of the most cited researchers in natural language processing and a central figure…
  • Yejin Choiv6Yejin Choi (born 1977) is a South Korean-American computer scientist and the Dieter Schwarz Foundation HAI Professor and Professor of Computer Science at Stanford University
  • Albert Guv6Albert Gu is an American computer scientist, Assistant Professor of Machine Learning at Carnegie Mellon University, and co-founder and Chief Scientist of Cartesia AI.
  • Percy Liangv4Percy Liang is an associate professor of computer science at Stanford University and the founding director of the Stanford Center for Research on Foundation Models (CRFM), the lab that coined the term…
  • Tri Daov5Tri Dao is a computer scientist who created the FlashAttention family of GPU attention algorithms and co-created the Mamba selective state-space architecture
  • Mike Knoopv6Mike Knoop is an American technology entrepreneur and artificial intelligence researcher who co-founded the workflow-automation company Zapier in 2011 and, in 2024, co-founded the ARC Prize
  • Jakub Pachockiv6Jakub Pachocki (born 1991) is a Polish computer scientist and former competitive programmer who has served as the Chief Scientist of OpenAI since May 2024.
  • John Schulmanv6John Schulman is an American artificial intelligence researcher, one of the eleven original co-founders of OpenAI, and the inventor of Proximal Policy Optimization (PPO), the reinforcement-learning algorithm…
  • Noam Shazeerv7Noam Shazeer (born 1975 or 1976) is an American computer scientist and software engineer who is one of the most prolific and influential researchers in the modern era of deep learning, best known as a…
  • Aidan Gomezv6Aidan N. Gomez (born 1996) is a British-Canadian computer scientist and technology executive who is the co-founder and chief executive officer of Cohere
  • Aravind Srinivasv7Aravind Srinivas (born 1994) is an Indian-American computer scientist and entrepreneur who co-founded and serves as chief executive officer of Perplexity, the artificial-intelligence company that operates a…