AI

Video by Open Source Connect via YouTube

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Video by PyTorch via YouTube

LF Edge – Linux Foundation Edge, is aiming to establish an open, interoperable software framework for edge computing, independent of hardware, silicon, cloud, but limited on x86 and arm. Meanwhile, open hardware like RISC-V are gaining ground in IoT and embedded systems, with furthering the expansion of edge computing. We believe the blend of such a open edge software, open RISC-V hardware with open LF Edge can herald a new era of empowering Open Software on Open Hardware, to unlock the power of edge computing everywhere.

He we’d like to review how we enable-to-build modern edge platform on real RISC-V hardware platform in the real world by walking through current state, benefits, challenges, and our solutions. Especially, we will demonstrate this with great demo by enabling LF Edge project like EdgeX and edge AI to RISC-V Linux and further show this on heterogeneous hardware platforms along with Linux by deploying on multiple arches as needed.

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

Don’t miss out! Join us at our next KubeCon + CloudNativeCon event in Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io

10 Years of Cilium: Connecting, Securing, and Simplifying the Cloud Native Stack – Liyi Huang, Isovalent (Cisco), Tingjin Ye, ANTA Sports Products Limited & Yashi Su, Alibaba Cloud

Join us as we celebrate a decade of Cilium, now the de-facto standard CNI for Kubernetes and a cornerstone of cloud native networking and security. This session provides updates on the latest Cilium release and highlights how its unified eBPF-powered stack is transforming Kubernetes environments and beyond by replacing fragmented toolchains with seamless, secure, scalable, and simplified solutions.

We’ll showcase how Anta Group used the ‘Less is More’ approach in their data center architecture by consolidating core networking, load balancing, and observability into Cilium and how Alibaba is using Tetragon to secure AI agents beyond just prompt guardrails. These stories will demonstrate how Cilium is streamlining operations and reshaping the cloud native stack, cementing Cilium’s role as the networking and security data plane for modern infrastructure for the next decade to come.

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Video by FINOS via YouTube

Exploits are happening before patches drop, creating a dangerous seven-day security gap.

The traditional discover-disclose-patch cycle is failing as modern adversaries outpace standard deployment timelines. We break down why software security is shifting toward this negative-day reality and what it means for infrastructure.

Subscribe for more technical breakdowns on modern cybersecurity challenges.

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Video by Open Data Science and AI Conference via YouTube

What if a two-person team could operate like a much larger engineering organization using AI agents?

In this episode of the ODSC Ai X Podcast, Shaw Walters, creator of ElizaOS, explains how he and his CTO coordinate a fleet of agents to build software and run parts of their business.

Shaw shares how they use GitHub issues, pull requests, isolated worktrees, planning, testing, and reviews to keep agents aligned — and why he sees today’s agent workflows as a temporary step toward a future where we may barely need to touch a computer.

The conversation also covers agent reliability, privacy, permissions, cost, ElizaOS as an AI operating system, and the role of agents in robotics and physical AI.

00:00 AI Agents, Productivity, and the Future of Work
01:09 How a Two-Person Team Uses AI Agents at Scale
02:21 Shaw Walters’ Journey Into AI and ElizaOS
05:00 Building a Private, Open-Source AI Operating System
06:20 What Is an Agentic Operating System?
09:05 The Future of Human-Computer Interaction
11:24 AI Agents, Permissions, Privacy, and Control
17:28 Managing 20+ AI Agents at Once
19:23 How to Plan Tasks for AI Agents
20:17 GitHub as a Swarm Coordination Platform
20:51 Testing, Evals, and Agent Reliability
21:48 The Economics of Running AI Agents at Scale
25:21 How a Two-Person Team Replaced a Much Larger Workflow
27:02 Choosing the Best AI Models for Coding Agents
33:31 How AI Agents Can Operate Your Computer
38:05 Long-Running Agent Workflows and Orchestration
42:56 Using Git Worktrees to Coordinate Multiple AI Agents
44:15 Managing Hundreds of AI-Generated Pull Requests
47:25 AI Agents, Robotics, and Physical AI
50:02 Social Awareness and Safety for Robots
54:07 Lessons From ElizaOS, Open Source, and Crypto
59:55 Life After the Laptop: Where AI Agents Are Heading
01:01:04 AI Agents, Personal Assistants, and Human Freedom
01:04:01 Final Thoughts

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Video by SAP via YouTube

Discover what’s new in SAP HANA Cloud Q3 2026 in under 7 minutes, including AI, agent memory, knowledge graph, and resilience updates.

Join Thomas Hammer, Lead Product Manager for SAP HANA Cloud, for a fast-paced first look at the latest release highlights and what they mean for enterprise data, AI, application development, and mission-critical workloads.

In this release preview, Thomas walks through new and enhanced capabilities across SAP HANA Cloud, including SAP Agent Memory Service, expanded database object discovery and data retrieval tools, AI-assisted calculation view modeling, the new AI_CORE_REQUEST database function, and GeoSPARQL support for the SAP HANA Cloud Knowledge Graph Engine.

You’ll also hear how SAP HANA Cloud is strengthening business continuity with multi-region disaster recovery for database tenants, simplifying SAP HANA Deployment Infrastructure, improving performance optimization with the Analytics Advisor, and extending access to SAP HANA Cloud Data Lake through SAP Business Data Cloud.

Watch the video for a quick overview of the Q3 2026 release highlights, then join the SAP HANA community to stay connected:
https://sap.to/6057BG9e7H

Chapters:
00:00 – Intro
00:47 – AI and Agentic Data Innovations
03:02 – SAP AI Core and Knowledge Graph Updates
04:20 – Resilience, Deployment, and Performance
06:00 – SAP HANA Cloud Data Lake
06:15 – Outro

Join the SAP HANA community to stay connected. 👉 https://sap.to/6057BG9e7H

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LinkedIn: https://sap.to/6058BG9e7y
Instagram: https://sap.to/6059BG9e7J
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Threads: https://sap.to/6051BG9e7z

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6053BG9e73

#SAPHANACloud #SAPBusinessDataCloud #DataAndAI

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Video by TWiT Tech Podcast Network via YouTube

Industry expert Mikah Sargent, brings you interviews from tech journalists who make or break the top stories of the week. Get the freshest perspective and in depth insight into the fast-paced world of technology from Tech News Weekly.

You can find more about TWiT.tv and subscribe to our full shows at https://podcasts.twit.tv
Join our community at Club TWiT: https://twit.tv/clubtwit

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Video by Meta Developers via YouTube

Built where people and businesses exchange 1B+ messages a day, Meta Business Agent Platform enables developers and businesses to deploy agents that transform a messaging thread into an always-on, full-funnel growth engine — capturing leads, closing sales, and supporting customers all in the same place. In this session, you’ll learn more about the platform and how to get started with your own agent today.

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Video by The Linux Foundation via YouTube

Sponsored by Harness

AI coding tools are helping engineering teams create and ship software at unprecedented speed. But our research from 700 enterprise practitioners and engineering leaders reveals a troubling counterweight: 71% say releases or production issues require developers to work evenings or weekends at least weekly, while more than half report frequent or constant burnout.

The surprising finding is that developers do not blame AI. The teams experiencing the most burnout are also among its most enthusiastic users. The real problem is the widening mismatch between AI-scale code generation and delivery systems still dependent on manual testing, fragmented tools, human-operated releases, and reactive incident response.

In this session, attendees will learn:
Why after-hours work should be treated as a software-delivery metric
How high deployment velocity can conceal weak stability and growing rework
Why AI adoption amplifies the strengths and weaknesses of the underlying delivery system
Which capabilities help reduce repetitive toil, deployment risk, and incident burden
How golden paths, automated testing and governance, progressive delivery, verification, rollback, and resilience testing can make AI-scale delivery sustainable

The session will close with a practical demonstration of how the Harness Software Delivery Agent helps delivery systems validate, govern, deploy, and recover without requiring people to absorb every failure manually.

Demo: https://www.harness.io/demo/software-delivery-agent

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Video by The Linux Experiment via YouTube

Check out TuxCare’s Endless LifeCycle Support for PostgreSQL 14 and more: https://tuxcare.com/endless-lifecycle-support/postgresql-eol-support/?utm_source=youtube&utm_medium=paid_social&utm_campaign=ELS%20PostgreSQL&utm_term=The%20linux%20experiment

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Timestamps:
00:00 Intro
00:36 Sponsor: TuxCare
01:46 KDE’s AI policy
06:42 Existing AI policies
10:06 Going further on AI
12:58 My stance on AI
17:05 FOSS projects: yes or no to AI?
28:02 Sponsor: Tuxedo Computers

#linux #linuxdesktop #ai

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