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.
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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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
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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
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.
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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.
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.
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
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Fedora 45 Beta is here, bringing GNOME 51, Linux Kernel 7.2, major security improvements, a completely modernized Linux console, Fedora Atomic improvements, and some surprisingly big changes under the hood.
But Fedora 45 is also a strange release. One of its most anticipated features — automatic Btrfs full-system snapshots and rollback — didn’t make it. KDE users also aren’t getting Plasma 6.8 in the Beta, while several of Fedora’s biggest improvements are things most users will never actually see.
In this video, we take a close look at what’s new in Fedora 45 Beta and what these changes actually mean for desktop Linux users.
We cover:
• GNOME 51 and its performance improvements
• GNOME’s new Wayland background blur infrastructure
• New GNOME Files, Sushi, Maps and Calendar improvements
• Why automatic Btrfs snapshots and rollback didn’t make Fedora 45
• Fedora’s stricter RPM package signature verification
• kmscon replacing the traditional Linux virtual console experience
• Fedora 45 KDE and the Plasma 6.8 situation
• Linux Kernel 7.2 and Mesa 26.2
• Fedora Silverblue, Kinoite and Atomic Desktop improvements
• The new Anaconda WebUI and remote installation features
• oo7 replacing GNOME Keyring as Fedora’s new secrets backend
• New security hardening and ptrace restrictions
• Python 3.15, GCC 16.2, glibc 2.44, systemd 262 and NetworkManager 1.58
• Fedora Asahi Remix support for Apple M3, M3 Pro and M3 Max
• Whether Fedora 45 Beta is worth installing right now
Fedora 45 may not completely transform the desktop visually, but underneath GNOME and KDE, Fedora is modernizing some surprisingly old parts of the Linux stack while continuing its push toward stronger security, newer technology and a more polished desktop experience.
Fedora 45 stable is expected on October 20, 2026.
🔗 Fedora Linux: https://fedoraproject.org/
If you enjoyed the video, subscribe to Linux Tex for more Linux news, distro reviews, GNOME and KDE coverage, tutorials, apps and everything happening in the Linux desktop world.
Timestamps:
0:00 Introduction
0:43 #01 GNOME 51 is the Highlight
2:59 #02 The Feature Everyone Was Waiting For
4:12 #03 Stricter Package Signing
5:08 Theme Studio
6:17 #04 So Where is Plasma 6.8?
7:09 #05 Kernel 7.2, Mesa, and Hardware
7:54 #06 Atomic Fedora Is Quietly Becoming Normal Fedora
8:44 #07 A New Home for your Passwords
9:25 #08 Fedora Replaced the Kernel Console
10:44 #09 Lightning Round
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