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Attendees at PyTorch Conference North America 2026 in San Jose completed a full day of instructor-led training preparing for the new PyTorch Certified Associate (PTCA) exam, offered via Linux Foundation Education. Positive attendee feedback highlighted hands-on GPU labs and coverage of benchmarking and profiling beyond model training.
PyTorch Foundation 于 PyTorch Conference North America 2026 宣布新增九家成员，包括 Platinum 级的 Nebius、Nscale 和 Shopify，以及 Silver 级的 LightSeek Foundation 和 Lablup，进一步巩固其作为开源 AI 中心枢纽的地位。
The article argues that MCP, originally useful for connecting LLMs to external services, has become outdated due to advancements in LLMs that can now handle API calls directly, rendering many MCP servers unnecessary.
The article explains that Model Context Protocol (MCP) and Agent2Agent (A2A) are complementary standards for connecting AI agents to tools and to each other, not competing ones, with both governed by the Linux Foundation.
The Open Secure AI Alliance, initiated by NVIDIA, has moved to the Linux Foundation to establish a more vendor-neutral governance structure for securing AI systems through open technologies.
At OSSummit Korea, Linux Foundation CEO Jim Zemlin explains how open source collaboration is making AI faster, more affordable, and more accessible across the entire AI software stack.
The Linux Foundation has submitted the OpenMDW AI license to the Open Source Initiative for review, aiming to standardize permissive licensing for AI models, data, weights, and related materials.
PyTorch spotlights Yiwei Song, Senior Director at CrusoeAI, as a keynote speaker for PyTorch Conference North America, where he will present on 'AI Model Customization Platform'.
The keynote lineup for KubeCon, CloudNativeCon, OpenInfraSummit, and PyTorchCon China in Shanghai has been announced, featuring speakers from organizations like The Linux Foundation and NVIDIA.
PyTorch Conference North America announces Simon Mo, Co-Founder & CEO of Inferact, as a keynote speaker to discuss the future of open source AI and the PyTorch ecosystem, with the event taking place October 20-21 in San Jose, CA.
The tweet highlights how multiple agent protocols are converging on the unsolved problem of proving agent identity and authority for cross-organizational interoperability, emphasizing the identity layer over messaging formats.
The Linux Foundation has formally launched the Tokenomics Foundation, a vendor-neutral standards body focused on quantifying the true cost and value of AI, moving beyond the era of unchecked token spending.
The week-old Open Secure AI Alliance (OSAA), led by Nvidia and now including over 120 companies, is already presenting proposals for AI security and collecting open-source contributions from members like Amazon, Red Hat, and Okta, while notable firms such as OpenAI and Google have not yet joined.
The CNCF and Linux Foundation Research have opened this year's annual survey on cloud native adoption, covering containers, Kubernetes, and challenges users face. Respondents receive a 35% discount on a Linux Foundation Education course.
AI is transforming open source security by enabling faster vulnerability detection while also introducing new risks through 'vibe coding' that can reintroduce insecure code; Linux Foundation's Hilary Carter discusses this duality.
Matt White, global CTO of AI at The Linux Foundation, argued at AMD's Advancing AI event that open models should not be viewed through a geopolitical lens, emphasizing that once open, they are for everyone to build on.
RWKV is a novel language model architecture that combines the efficiency of RNNs with the parallelizability of Transformers, achieving strong LLM performance with linear time complexity and constant memory footprint.
The Linux Foundation launched the x402 Foundation to standardize internet-native payments for AI agents and applications, backed by major companies including Coinbase, AWS, Google, and Mastercard.
The Linux Foundation announces the Agent Name Service (ANS), an open standard leveraging DNS to provide verifiable identities for AI agents, enabling trust and interoperability.
Jack Dorsey built and open-sourced Goose, a comprehensive local AI agent that autonomously performs development tasks like installing dependencies, running code, testing, and deploying. Donated to the Linux Foundation, it supports multiple LLMs and includes features like parallel subagents, MCP extensions, and adversary mode.