Sunday, May 31, 2026
- NVIDIA Quantum-X Photonicsv3NVIDIA Quantum-X Photonics is a family of co-packaged-optics network switches that NVIDIA announced at its GTC conference on March 18, 2025.
- FlashMLAv12FlashMLA is an open-source library of attention kernels from DeepSeek, built around Multi-head Latent Attention (MLA), the attention variant DeepSeek uses to shrink the KV cache in its large language models.
- Mooncake (LLM serving)v2Mooncake is a KVCache-centric, disaggregated serving architecture for large language models, built by Moonshot AI together with researchers at Tsinghua University.
- π*0.6 (pi-star-0.6)v4π*0.6 (written "Pi-star-0.6") is a vision-language-action robot foundation model developed by Physical Intelligence, a San Francisco robotics startup.
- Ultra Ethernetv4Ultra Ethernet is an open networking specification that reworks Ethernet into a high performance fabric for large AI training clusters and high performance computing, giving operators an interoperable
- HunyuanWorld 1.0v2HunyuanWorld 1.0 is an open model from Tencent that generates explorable 3D worlds from a text prompt or a single image.
- Kimi K2 Thinkingv2Kimi K2 Thinking is a reasoning and agentic large language model released by the Chinese startup Moonshot AI on November 6, 2025.
- Chai-2v6Chai-2 is a generative artificial intelligence model from Chai Discovery for designing antibodies and small protein binders from scratch.
- Hunyuan-A13Bv3Hunyuan-A13B is an open-weight mixture-of-experts large language model released by Tencent in late June 2025.
- NVLink Fusionv8NVLink Fusion is a program and silicon technology from NVIDIA that opens its NVLink high speed interconnect to third party chips.
- UALinkv5UALink (Ultra Accelerator Link) is an open industry standard for scale-up interconnect between AI accelerators that lets up to 1,024 accelerators inside a single pod read and write each other's memory directly…
- Isaac GR00T N1.5v6Isaac GR00T N1.5 is an open vision-language-action model from NVIDIA built as a generalist foundation model for humanoid robots.
- InfiniBandv4InfiniBand is a high throughput, low latency networking interconnect standard used to connect servers, storage, and accelerators inside high performance computing systems and large artificial intelligence…
- Evo 2 (genomic model)v5Evo 2 is a genomic foundation model built by the Arc Institute together with NVIDIA, Stanford University, and collaborators, and first released in February 2025.
- olmOCRv4olmOCR is an open toolkit and vision-language model from the Allen Institute for AI (Ai2) that turns PDFs and document images into clean, structured plain text and Markdown.
- Command A Reasoningv2Command A Reasoning is an enterprise reasoning model released by Cohere on August 21, 2025, as part of the Command A family of large language models.
- Boltz-2v4Boltz-2 is an open-source biomolecular foundation model that jointly predicts the 3D structure of biological complexes and the binding affinity between small molecules and proteins.
- GPT-5.1-Codex-Maxv5GPT-5.1-Codex-Max is a frontier agentic coding model from OpenAI, released on November 19, 2025 for Codex, OpenAI's software engineering agent.
- Ling-1Tv4Ling-1T is a trillion-parameter open-weight language model released by Ant Group through its Inclusion AI research group on October 9, 2025.
- Seedream 4.0v3Seedream 4.0 is a unified image generation and editing model built by the Seed team at ByteDance.
- Nano Banana Prov3Nano Banana Pro is a professional grade image generation and editing model from Google DeepMind, released on November 20, 2025.
- ERNIE 4.5v3ERNIE 4.5 is a family of large language models released by the Chinese technology company Baidu, open-sourced on June 30, 2025 under the Apache 2.0 license.
- ERNIE 5.0v3ERNIE 5.0 is a natively omni-modal foundation model from Baidu, unveiled at the company's annual Baidu World 2025 conference in Beijing on 13 November 2025 as the flagship in the ERNIE line at launch.
- EmbeddingGemmav3EmbeddingGemma is an open text embedding model from Google, released in September 2025, that turns text into dense numeric vectors for search, retrieval, classification, and clustering.
- Voxtralv4Voxtral is a family of speech models from Mistral AI. The original open-weight speech-understanding release arrived on July 15, 2025 under the Apache 2.0 license.
- Qwen3-VLv3Qwen3-VL is a family of open-weight vision-language models built by the Qwen team at Alibaba Cloud, first released in September 2025.
- IBM Granitev3IBM Granite is a family of open foundation models built by IBM for enterprise use, released under the permissive Apache 2.0 license and delivered through IBM's watsonx platform.
- Qwen3 Embeddingv3Qwen3 Embedding is a family of open text embedding and reranking models released by Alibaba's Qwen team in June 2025.
- Qwen3-Omniv3Qwen3-Omni is a natively end-to-end omni-modal foundation model developed by the Qwen team at Alibaba Cloud, capable of understanding text, images, audio, and video and generating both text and natural speech…
- Magistralv3Magistral is the first family of reasoning models from Mistral AI, the French AI company, first released on June 10, 2025.
- Stefano Ermonv4Stefano Ermon is an Italian computer scientist and an associate professor of computer science at Stanford University, best known for foundational work on score-based generative models
- Karol Hausmanv4Karol Hausman is a roboticist and entrepreneur who is the co-founder and chief executive officer of Physical Intelligence, a San Francisco startup founded in 2024 that builds foundation models for robotics.
- Deepak Pathakv3Deepak Pathak is an Indian American roboticist and machine learning researcher who is the co-founder and chief executive officer of Skild AI, a startup building a general purpose foundation model for robotics.
- Tang Jiev8Tang Jie (Chinese: 唐杰; born 1977), also published as Jie Tang, is a Chinese computer scientist, a chair professor at Tsinghua University, and a co-founder and controlling shareholder of Zhipu AI (now branded…
- Yang Zhilinv5Yang Zhilin (Chinese: 杨植麟; pinyin: Yáng Zhílín) is the co-founder and chief executive officer of Moonshot AI (月之暗面), the Beijing startup that develops the Kimi chatbot and the Kimi family of large language…
- Amanda Askellv2Amanda Askell is a Scottish philosopher and artificial intelligence researcher who works on fine-tuning and alignment at Anthropic, where she leads the team responsible for the character, persona, and values…
- Nick Frosstv3Nick Frosst is a Canadian artificial intelligence researcher, entrepreneur, and musician who co-founded the enterprise AI company Cohere in 2019 with Aidan Gomez and Ivan Zhang and leads research at the firm.
- Koray Kavukcuogluv5Koray Kavukcuoglu is a Turkish computer scientist who leads Google DeepMind as its Senior Vice President, a role he assumed on 5 August 2026, and serves as Chief AI Architect of Google.
- Igor Babuschkinv4Igor Babuschkin is a German artificial intelligence researcher and engineer who is a co-founder of xAI, the AI company that Elon Musk started in 2023.
- Sam McCandlishv2Sam McCandlish is an American AI researcher and a co-founder of Anthropic, the artificial intelligence company behind the Claude family of language models.
- Lilian Wengv2Lilian Weng is an artificial intelligence researcher known for her work at OpenAI, where she spent about seven years and led the Safety Systems team as Vice President of Research and Safety, and for her…
- Wojciech Zarembav3Wojciech Zaremba is a Polish computer scientist and a co-founder of OpenAI, the artificial intelligence research company started in December 2015, where he has worked since the company's founding.
- Mark Chen (OpenAI)v4Mark Chen is an American artificial intelligence researcher and research executive at OpenAI, where he serves as Chief Research Officer.
- Alexandr Wangv6Alexandr Wang (born January 1997) is an American entrepreneur who co-founded Scale AI in 2016 and, in June 2025, became the first Chief AI Officer of Meta
- Mark Zuckerbergv4Mark Zuckerberg is the co-founder, chairman, and chief executive officer of Meta Platforms, and since the early 2010s he has directed one of the largest corporate artificial-intelligence programs in the world
- Miles Brundagev3Miles Brundage is an American AI policy and governance researcher best known for leading policy research at OpenAI and serving as the company's senior advisor for AGI Readiness before leaving in October 2024.
- Yoav Shohamv2Yoav Shoham is an Israeli and American computer scientist known for foundational research in multi-agent systems and the use of game theory and formal logic in artificial intelligence
- Helen Tonerv3Helen Toner is an Australian researcher who works on the policy and governance of artificial intelligence.
- Max Tegmarkv3Max Tegmark is a Swedish-American physicist and artificial intelligence researcher who is a professor of physics at the Massachusetts Institute of Technology (MIT) and the co-founder and president of the…
- Joy Buolamwiniv4Joy Buolamwini is a Canadian-American computer scientist and digital activist known for research exposing racial and gender bias in commercial facial recognition and facial-analysis systems
- Meredith Whittakerv3Meredith Whittaker is an American technologist, researcher, and privacy advocate who serves as president of the Signal Foundation, the nonprofit behind the encrypted messaging app Signal
- Emily M. Benderv2Emily M. Bender is an American linguist and a professor in the Department of Linguistics at the University of Washington, where she directs the Computational Linguistics Laboratory.
- Timnit Gebruv3Timnit Gebru is an Ethiopian-born computer scientist and a leading researcher in AI ethics, best known for co-authoring the 2018 "Gender Shades" study on bias in facial recognition, co-leading Google's Ethical…
- Margaret Mitchell (computer scientist)v2Margaret Mitchell is an American computer scientist who works on AI ethics, fairness in machine learning, and the documentation of AI systems.
- Jonathan Hov3Jonathan Ho is a machine learning researcher best known as the lead author of "Denoising Diffusion Probabilistic Models" (DDPM), the 2020 paper that made diffusion models practical for high quality image…
- Jürgen Schmidhuberv4Jürgen Schmidhuber (anglicized Jurgen Schmidhuber, born 17 January 1963) is a German computer scientist best known as a co-inventor of long short-term memory (LSTM), the recurrent neural network architecture…
- Andrew Bartov3Andrew Barto is an American computer scientist and one of the founders of modern reinforcement learning, the branch of machine learning in which an agent learns by trial and error from rewards.
- Ian Goodfellowv5Ian Goodfellow is an American computer scientist and machine learning researcher best known for inventing the generative adversarial network (GAN) in 2014 and for being the lead author of the textbook Deep…
- Kaiming Hev4Kaiming He is a Chinese computer scientist known for foundational work in computer vision and deep learning, and is most closely associated with deep residual networks, or ResNet.
- Diederik Kingmav4Diederik Kingma is a Dutch machine learning researcher and a founding member of OpenAI who is best known as the first author of the Adam optimizer and the variational autoencoder (VAE)
- MuSRv4MuSR (Multistep Soft Reasoning) is a benchmark for evaluating multistep reasoning in large language models, built around long free-text narratives such as murder mysteries, object-placement scenarios, and…
- TxT360v2TxT360 is an open large-scale pretraining corpus for large language models, released in October 2024 by the LLM360 project, a collaboration led by Petuum and the Mohamed bin Zayed University of Artificial…
- FineWeb-Eduv2FineWeb-Edu is an open, English-language pretraining dataset of roughly 1.3 trillion tokens
- Cosmopediav2Cosmopedia is an open synthetic pretraining dataset released by Hugging Face in February 2024, made up of textbooks, blog posts, stories, and WikiHow-style articles written entirely by a large language model.
- Task-completion time horizon (METR)v4The task-completion time horizon is a metric for AI capability proposed by METR that expresses a model's ability in units of human time: it is the length of task
- GenEvalv3GenEval is an object-focused benchmark for evaluating how well text-to-image models follow the content of a prompt.
- ZeroBenchv2ZeroBench is a visual reasoning benchmark built to be effectively impossible for current frontier large multimodal models, which score 0.0% on its main questions.
- BABILongv3BABILong is a benchmark for testing how well a large language model can reason over facts scattered through very long text.
- MMTEBv3MMTEB (Massive Multilingual Text Embedding Benchmark) is a large, community-built suite for evaluating text embedding models across more than 500 quality-controlled tasks and over 250 languages
- Spider 2.0v2Spider 2.0 is a benchmark for evaluating large language models on real-world enterprise text-to-SQL workflows.
- LongBench v2v3LongBench v2 is a benchmark for evaluating how well large language models understand and reason over long contexts.
- NoLiMav2NoLiMa, short for "No Literal Matching," is a long-context benchmark for large language models that measures how well a model can find and use a single relevant fact buried in a long document when that fact…
- WebVoyagerv3WebVoyager is an end-to-end web agent and its companion benchmark, introduced by Hongliang He and seven coauthors in a paper accepted to ACL 2024.
- FRAMES (benchmark)v2FRAMES is an evaluation dataset for retrieval-augmented generation that tests factual accuracy, retrieval, and reasoning together rather than one at a time.
- ProcessBenchv3ProcessBench is a benchmark for step-level verification of mathematical reasoning, built by the Qwen Team at Alibaba and released in December 2024.
- FACTS Groundingv3FACTS Grounding is a factuality benchmark from Google DeepMind and Google Research that measures whether a large language model answers a request using only the information in a provided source document
- AgentHarmv4AgentHarm is a benchmark for measuring the harmfulness of LLM agents: systems that wrap a large language model in a loop that lets it call external tools and carry out multi-step tasks.
- StrongREJECTv2StrongREJECT is a benchmark and automated evaluator for measuring how well jailbreaking attacks actually work against large language models.
- RewardBenchv3RewardBench is a benchmark and public leaderboard for evaluating reward models, the scoring functions that sit at the center of reinforcement learning from human feedback (RLHF).
- LLM-as-a-judgev5LLM-as-a-judge is the practice of using a strong large language model to evaluate the outputs of other models, or of itself, in place of a human annotator.
- Expected calibration errorv4Expected calibration error (ECE) is a metric that measures how well a classifier's predicted confidence matches its observed accuracy.
- CIDErv3CIDEr (Consensus-based Image Description Evaluation) is an automatic evaluation metric for image captioning that scores a machine-generated caption by how closely it matches the consensus of several human…
- METEOR (metric)v3METEOR (Metric for Evaluation of Translation with Explicit ORdering) is an automatic evaluation metric for machine translation and other text-generation tasks that scores a candidate sentence against one or…
- chrFv3chrF is a machine translation evaluation metric that scores a candidate translation by counting the character n-grams it shares with one or more reference translations, then combining character n-gram…
- Elo rating system (AI model ranking)v3The Elo rating system, as applied to AI models, is a method for turning a pile of head-to-head preference votes into a single number per model, so that large language models and chatbots can be ranked on a…
- BERTScorev3BERTScore is an automatic, reference-based metric for evaluating text generation that scores a candidate sentence against one or more references by comparing the contextual embeddings of their tokens rather…
- Word error ratev2Word error rate (WER) is the standard metric for measuring the accuracy of an automatic speech recognition (ASR) system
- Pass@kv3Pass@k is the standard metric for evaluating code generation models: it measures the probability that at least one of k generated candidate solutions passes all of a problem's unit tests.
- SantaCoderv4SantaCoder is a 1.1 billion parameter large language model for code generation, released in early 2023 by the BigCode project, an open scientific collaboration co-led by Hugging Face and ServiceNow Research.
- OPUS-MTv4OPUS-MT is a large collection of open, freely licensed neural machine translation models and tools produced by the Language Technology Research Group at the University of Helsinki.
- CamemBERTv3CamemBERT is a French monolingual language model based on the RoBERTa architecture, released in late 2019 by researchers at Inria, Facebook AI Research, and Sorbonne Université.
- SciBERTv3SciBERT is a BERT-based language model pretrained from scratch on a large corpus of scientific papers, built by the Allen Institute for AI (AI2).
- LayoutLMv3LayoutLM is a family of pre-trained multimodal models developed by Microsoft Research for document AI, the task of automatically reading and understanding visually rich documents such as forms, invoices…
- Wav2Vec 2.0v4Wav2Vec 2.0 is a self-supervised learning framework for speech representation, developed by the Facebook AI Research (FAIR) group at Meta and introduced in 2020.
- HuBERTv4HuBERT (Hidden-Unit BERT) is a self-supervised learning model for speech representation, introduced by researchers at Meta AI (then Facebook AI Research) in 2021.
- Longformerv4Longformer is a transformer architecture for processing long documents, introduced by Iz Beltagy, Matthew E. Peters
- XLM-RoBERTav3XLM-RoBERTa (often abbreviated XLM-R) is a multilingual masked language model developed by Facebook AI Research (now Meta AI) and released in November 2019.
