Wednesday, September 16, 2026 Calibration (machine learning) v8 Calibration in machine learning is the property that the probability scores produced by a probabilistic classifier match the empirical frequency of the predicted event: a model that assigns a confidence of 0.8… Structured output v10 Structured output is a set of techniques and API features that constrain a large language model (LLM) to emit responses that exactly conform to a predefined format or schema, such as JSON, XML, or a custom… InstructGPT v7 InstructGPT is a family of language models released by OpenAI in January 2022 that take the base GPT-3 and fine-tune it to follow user instructions more helpfully, truthfully, and with less toxic output, using… TypeSafe AI v2 TypeSafe AI (styled TypeSafe) is a San Francisco AI lab founded in 2024 that builds what it calls "machine-native Jev (AI model) v2 Jev is an AI model released in early access on 15 September 2026 by TypeSafe AI, a San Francisco startup founded in 2024 by former OpenAI researcher Diogo Almeida with Erik Gafni and Sasha Sheng. Diogo Almeida v2 Diogo Almeida (full name Diogo Moitinho de Almeida) is a machine learning researcher and the co-founder and chief executive of TypeSafe AI, a San Francisco lab that came out of stealth on 15 September 2026… Long-context language models v8 Long-context language models are large language models engineered to accept and reason over inputs far larger than the few-thousand-token windows used by early transformer systems, with frontier models in 2026… MiniCPM v4 MiniCPM is a family of compact, openly licensed language models published by OpenBMB, the shared open-source brand of Tsinghua University's natural language processing lab (THUNLP) and the Beijing company… DeepSeek Sparse Attention (DSA) v5 DeepSeek Sparse Attention (DSA) is a trainable, fine-grained sparse attention mechanism introduced by the Chinese AI company DeepSeek in its experimental model DeepSeek-V3.2-Exp, released on September 29, 2025. Song Han v4 Song Han is a computer scientist and an associate professor with tenure in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) Sparse attention v9 Sparse attention is a family of techniques that cut the computational and memory cost of the attention mechanism in transformer models by letting each token attend to only a subset of other tokens in a sequence SparDA v2 SparDA (Sparse Decoupled Attention) is an add-on architecture for long-context large language model inference proposed by researchers at NVIDIA in a paper posted to arXiv on 3 June 2026. NOSA (Native and Offloadable Sparse Attention) v2 NOSA (Native and Offloadable Sparse Attention) is a trainable sparse attention mechanism designed so that most of a language model's KV cache can live in CPU memory during decoding without the CPU-to-GPU… KV cache offloading v2 KV cache offloading is the practice of moving part or all of a Transformer model's KV cache out of accelerator memory (GPU HBM) into a larger, slower tier such as CPU DRAM, local NVMe storage, or remote… Tencent AI v11 Tencent AI is the artificial intelligence research, products, and services developed by Tencent Holdings Ltd., one of the world's largest technology companies, built around the Hunyuan family of foundation… BrowserSkill v2 BrowserSkill is an open-source browser-automation bridge from Tencent that lets shell-capable AI coding agents drive the user's own, already logged-in Chrome or Microsoft Edge browser. AI browser agent v9 An AI browser agent is a class of AI agent that uses artificial intelligence to autonomously navigate, interpret, and interact with web browsers to complete tasks on behalf of a user. AlphaEvolve v6 AlphaEvolve is an evolutionary coding agent developed by Google DeepMind and announced on May 14, 2025 . KernelBench v4 KernelBench is an AI benchmark and open-source evaluation environment that measures how well large language models can write fast and correct GPU kernels. Dream-RSI v2 Dream-RSI (Recursive Self-Improvement through Evolving Worlds) is a framework for improving the exploration strategy of an AI discovery agent, described in a preprint posted to arXiv on 14 September 2026 by a… DeepSeek Harness v3 DeepSeek Harness is an open-source AI agent harness developed by DeepSeek. Also called dsh, it supplies the software around a language model: the agent loop, tools, sessions, filesystems, permission controls… Recursive self-improvement v14 Recursive self-improvement (RSI) is a process in which an artificial intelligence system improves its own intelligence or its ability to improve itself, so that each enhancement increases its capacity for… KV Cache v13 KV cache, short for key-value cache, is transient model state used during Transformer generation. LeRobot v9 LeRobot is an open-source, PyTorch-native library for end-to-end real-world robot learning developed by Hugging Face and a global community of contributors, often described as the "Transformers for robotics"… Robot foundation model v9 A robot foundation model is a large-scale machine learning model, typically based on the transformer architecture, that is pre-trained on broad, diverse datasets of robot interactions and then adapted to a… Flexion Robotics v4 Flexion Robotics AG, usually shortened to Flexion, is a Swiss robotics software company that builds a hardware-agnostic autonomy stack, often described as "the brain," for humanoid robots. AWS Trainium v7 AWS Trainium is a family of custom machine learning accelerator chips designed by Annapurna Labs for Amazon Web Services, purpose-built for training and, increasingly, for serving large neural networks. NVentures (Nvidia) v5 NVentures is the corporate venture-capital arm of Nvidia, the dominant supplier of graphics processors used to train and run artificial-intelligence models. Jeff Hawke v2 Jeff Hawke (published as Jeffrey Hawke) is a New Zealand robotics and machine learning engineer who is the co-founder and chief technology officer of Odyssey reBot Arm v3 reBot Arm is an open-hardware desktop robotic-arm series developed by Seeed Studio for robotics education, teleoperation, and embodied-AI experiments. OpenArm v2 OpenArm is an open-source, seven-degree-of-freedom humanoid robot arm developed by Enactic, Inc., a Tokyo robotics company. SO-101 v2 The SO-101 (Standard Open Arm 101) is a low-cost, open-source, 3D-printable robot arm designed by The Robot Studio in collaboration with Hugging Face and published in the TheRobotStudio/SO-ARM100 repository… Nemotron 3 v14 Nemotron 3 is a family of open-weights large language model systems released by NVIDIA beginning on December 15, 2025, built for agentic AI and consisting of three sparse mixture-of-experts variants named… NVIDIA NIM v8 NVIDIA NIM (NVIDIA Inference Microservices) is a set of containerized, prebuilt-and-optimized model-serving microservices from NVIDIA that package an AI model, an optimized inference engine, and an… Reward AI v3 Reward AI is a robotics company that builds general-purpose manipulation policies meant to run on many different robot bodies . The company gives its location as the Bay Area, California, on its X account . OM-1 (Omnibody Model 1) v3 OM-1, short for Omnibody Model 1, is a general-purpose robot manipulation policy announced by Reward AI on 14 September 2026 . Odyssey-2 v2 Odyssey-2 is a family of real-time, interactive generative models built by the AI lab Odyssey. Odyssey-3 v2 Odyssey-3 is a foundation world model announced on September 15, 2026 by Odyssey, an AI lab founded in 2023 by Oliver Cameron and Jeff Hawke. Odyssey (AI lab) v2 Odyssey is an artificial intelligence lab that builds what it calls foundation world models: causal, action-conditioned systems trained to predict how the world evolves from one moment to the next, and to… World model v9 A world model is an artificial intelligence system that learns an internal representation of how an environment works, enabling it to predict future states, simulate the consequences of actions, and support… CaliBench v2 CaliBench is a benchmark for image-to-video generative models that asks whether a model reproduces the correct distribution of physical outcomes across many generations from the same starting frame Oliver Cameron v2 Oliver Cameron is a technology entrepreneur and the co-founder and chief executive of Odyssey, an AI lab that builds general-purpose world models . NexArm new NexArm is a desktop robotic arm sold by Hiwonder, a Shenzhen-based maker of educational robotics kits, for imitation-learning, teleoperation and embodied-AI coursework. Starchild-1 v2 Starchild-1 is a real-time audio-video world model built by the AI lab Odyssey. It generates synchronized video and sound autoregressively, chunk by chunk, while a user streams new text, speech and action… PROWL-1 v2 PROWL-1 is a training framework from the AI lab Odyssey in which a reinforcement learning agent is paid to break a world model. Agora-1 v2 Agora-1 is a multi-agent world model released by the AI lab Odyssey on 18 May 2026. Tuesday, September 15, 2026 Monday, September 14, 2026 Sunday, September 13, 2026 NSA, CISA and FBI Distillation Advisory (AA26-251A) new On September 8, 2026 the National Security Agency (NSA), the Cybersecurity and Infrastructure Security Agency (CISA) and the Federal Bureau of Investigation (FBI) released a joint cybersecurity advisory, alert… Discovery Loop v3 Discovery Loop is an American artificial intelligence startup founded by Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le, four of the most influential researchers and engineers in the history of Google… Terence Tao v2 Terence Tao (born 1975 in Adelaide, Australia) is a mathematician at the University of California, Los Angeles, where he is a Distinguished Professor and holds the James and Carol Collins Chair in the College… Friday, September 11, 2026 Newer Page 1 of 46 Older 
