The Agentic AI Foundation passes 300 members in under a year
The Agentic AI Foundation reported 305 member organisations in under a year, saying agents are moving from developer experiments to institutional infrastructure.
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The Agentic AI Foundation reported 305 member organisations in under a year, saying agents are moving from developer experiments to institutional infrastructure.
On 22 October 2026 the Agentic AI Foundation added four projects — Agent Skills from Anthropic, Open Responses from OpenAI, OpenEnv from Hugging Face and OpenSandbox from Alibaba — bringing it to 10 hosted projects covering different layers of the agentic stack.
On 5 March 2026 Ai2 released Olmo Hybrid, a fully open 7B model that stacks Gated DeltaNet linear-RNN layers with attention layers in a 3:1 ratio and reaches Olmo 3's MMLU accuracy with 49% fewer training tokens.
On 16 October 2025 Anthropic introduced Agent Skills, folders of instructions, scripts and resources that Claude loads when a task calls for them. On 18 December 2025 the format was published as an open standard.
At Huawei Connect 2025 in Shanghai, Huawei published its first three-year Ascend chip roadmap, running to 2028, alongside new Atlas SuperPoD systems and a pledge to open source CANN.
In September 2025 Alibaba's Qwen team released Qwen3-Next, an 80B-parameter open model with 3B parameters active per token, built on a hybrid of linear attention and sparse mixture-of-experts layers.
On 29 July 2025 the Linux Foundation welcomed AGNTCY, an open project for interoperable AI agents, with Cisco, Dell Technologies, Google Cloud, Oracle and Red Hat as formative members.
Physical Intelligence released π0.5 on 22 April 2025, a vision-language-action model built on its earlier π0 that the company says can carry out household tasks in homes it never saw during training.
On 9 April 2025 Google announced Agent2Agent (A2A), an open protocol that lets AI agents from different vendors communicate, exchange information securely and coordinate work. In June 2025 the Linux Foundation said it would host the project.
On 4 April 2025 GitHub released Copilot agent mode and MCP support to all VS Code users, letting the assistant take actions, propose commands and call external tools, with a 56.0% pass rate reported on SWE-bench Verified.
On 25 November 2024 Anthropic open-sourced the Model Context Protocol, a standard for connecting AI assistants to the systems where data lives. In December 2025 Anthropic donated it to the Agentic AI Foundation under the Linux Foundation.
On 8 May 2024, Google DeepMind and Isomorphic Labs announced AlphaFold 3, a model that predicts the structures and interactions of proteins, DNA, RNA and ligands, and that Google reported as the first AI system to outperform physics-based tools for biomolecular structure prediction.
On 22 February 2024 Stability AI announced an early preview of Stable Diffusion 3, a text-to-image suite from 800M to 8B parameters that combines a diffusion transformer with flow matching.
On 9 January 2024 DeepSeek released DeepSeekMoE, a mixture-of-experts architecture built around fine-grained experts and shared experts, with an open-weights 16B model.
In December 2022, Google researchers posted RT-1, a Robotics Transformer trained on real robot data; they reported over 700 instructions at a 97% success rate and released the code.
On 21 September 2022 OpenAI released Whisper, an open-source speech-recognition system trained on 680,000 hours of audio that could also translate speech into English.
At GTC on 22 March 2022, NVIDIA announced the Hopper architecture and its first Hopper GPU, the H100, headlined by a Transformer Engine and paired with new HBM3 memory and NVLink, with cloud instances planned from the third quarter of 2022.
On 15 July 2021 the Institute for Protein Design released RoseTTAFold as code on GitHub and a public web server, with lead author Minkyung Baek describing structures computable in minutes on a gaming computer.
On May 10, 2017, NVIDIA unveiled Volta, its seventh-generation GPU architecture, together with the Tesla V100 data center GPU, presented as the most powerful GPU computing architecture yet for AI and high performance computing.
PyTorch was publicly released in January 2017 as a beta, with first-class Python integration and an imperative style. Built by people from the Lua Torch community with Facebook's backing, it later became a widely used deep-learning framework.
In May 2016 Google disclosed the Tensor Processing Unit, a custom chip built for machine learning that had already run in its data centers for over a year and powered RankBrain, Street View and AlphaGo.