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Video by The Linux Experiment via YouTube

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Timestamps:
00:00 Intro
00:40 Sponsor: Joplin
02:08 A few milestones
06:13 Linux desktop: winning
16:46 Gaming: also winning
19:55 Server: we won
20:57 Smartphones: difficult
22:30 Linux is growing faster than ever
26:27 Sponsor: Tuxedo Computers

#linux #linuxdesktop #linuxdistro

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Video by Linux Tex via YouTube

Get Theme Studio – Massive Introductory Discount
https://payhip.com/LinuxTex

Three of the biggest companies in tech just turned toward the Linux desktop — all within 48 hours. OpenAI released the official ChatGPT desktop app for Linux, NVIDIA took its native GeForce NOW app for Linux out of beta, and Epic Games confirmed that a Linux version of the Epic Games Launcher is in the works. In this video, we break down what each announcement actually means, why big tech is suddenly investing in desktop Linux, and what it means for the future of Linux apps and Linux gaming.

The ChatGPT app for Linux brings Chat, Codex, and your local files into a real desktop workflow — with official .deb and .rpm packages for Ubuntu, Debian, and Fedora on both x64 and ARM64. GeForce NOW on Linux is out of beta with native cloud gaming up to 5K at 120 FPS, or 1080p at a blistering 360 FPS. And while the Epic Games Launcher is confirmed for Linux, no — Fortnite is NOT coming to Linux yet. We explain why anti-cheat on Linux is a business decision, not a technical one.

We also dig into the real reasons behind this shift — the Steam Deck effect, Proton and SteamOS turning Linux gaming into a real consumer market, developers choosing Linux in massive numbers, and how Electron, Tauri, Flatpak, Wayland, and PipeWire made supporting Linux cheaper than ever. Linux didn’t suddenly beat Windows — it became too big to dismiss.

If you care about Linux, the Linux desktop, Linux gaming, open source, ChatGPT on Linux, GeForce NOW, Epic Games, Steam Deck, or where desktop Linux is heading in 2026, this is the video for you.

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Keywords: ChatGPT Linux, ChatGPT desktop app Linux, ChatGPT for Linux, GeForce NOW Linux, NVIDIA GeForce NOW Linux app, Epic Games Launcher Linux, Epic Games Linux, Fortnite Linux, Linux desktop, desktop Linux, Linux gaming, Steam Deck, SteamOS, Proton, Linux apps, OpenAI Linux, why Linux is growing, Linux market share, Linux news, Ubuntu, Fedora, Debian, best Linux apps 2026

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Video by OpenAI via YouTube

At loveholidays, AI-assisted code changes grew from 7% to 79% in a year, while deployments increased 73% without growing the engineering team. 🚀 With Codex, product managers, designers and commercial teams can now build alongside engineers—with 10+ new search experiences already developed through Search Playground, most by non-engineers.

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Video by PyTorch via YouTube

Hyungyo Kim, Ph.D. Candidate in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign invites you to Poster Presentation on Train More with Less: Fewer GPUs, Less Data Movement, Better Cluster Utilization

Register for PyTorchCon North America today: https://hubs.la/Q04v4SL60

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

CNCF Ambassador Arsh Sharma has been in the Kubernetes ecosystem for years. His answer for what he’s gained most isn’t about Kubernetes at all. It’s about the people.

#Shorts #CNCFAmbassadors #CloudNative #Kubernetes

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Video by FINOS via YouTube

What happens when a business-focused professional discovers that AI can translate vision into working software?

🗽 Catch Host Peter Smulovics Live in New York! Ready to explore emerging technologies, spec-driven development, and the future of open-source financial engineering?

Join Peter Smulovics and global tech leaders at OSFF New York on November 4–5, 2026.
🎟️ Register Now: https://hubs.ly/Q04n_bZL0🔥 25% OFF DISCOUNT CODE: FINOSREDOSFF25

In this episode, we follow the journey of a business-aligned leader who never saw herself as a developer. Armed with curiosity, domain expertise, and increasingly sophisticated prompting techniques, she crosses the Rubicon from consumer of technology to creator of technology.
We explore how modern AI tools are redefining who gets to build software, contribute to projects, experiment with emerging technologies, modernize financial systems, and solve real-world business problems. The conversation examines what changes when technical barriers fall, and domain expertise becomes a superpower.

This isn’t a story about replacing developers. It’s a story about expanding the circle of creators. Host Peter Smulovics (Distinguished Engineer at Morgan Stanley and FINOS Zenith Lead) sits down with Fintech Product Manager Sarah Hilton-Burroughs for a special edition of the Open Source in Finance Podcast. Together, they explore how domain experts are leveraging AI agents, Spec-Driven Development (SDD), and custom component prompts to build full-stack RegTech platforms—without abandoning architectural guardrails or regulatory auditability.

🕒 Timestamps:

0:00 Welcome & Episode Introduction
0:32 Meet Sarah Hilton-Burroughs: 10 Years in Fintech & RegTech Product Management
1:53 The Spark: From Learning Python Curriculum to the Lightbulb Moment
3:36 Domain Expertise as Scripting: Why Writing Requirements Is the Ultimate Prompt
5:42 Moving Past Simple Prompts: Navigating Token "Credit Suck" & Multi-Tenant Stacks
7:27 Embracing Spec-Driven Development (SDD) & Customizing Component Agents
9:21 Misconceptions of Non-Technical Builders: Addressing AI Fabrication vs. Hallucination
12:24 The Game Boy Approach: Button-Masher Curiosity vs. Reading Manuals
13:48 Domain Expertise as a Competitive Moat in the Age of Commodity Code
16:09 How Financial Institutions Will Change: High-Value Use Cases vs. License Waste
17:57 Skills for the Future: Integrity, Data Science, and Regulatory Guardrails
22:12 AI-Native Builder Roles & The Reality of Commercial AI Affordability
25:09 User vs. Orchestrator: Navigating the LLM Spectrum (Sonnet, Opus, Cohere)
28:30 Preserving the Human Voice: Why Authenticity Beats AI-Generated Communications
33:51 What Being a "Developer Wizard" Means: Unimaginable Creative Freedom
35:45 Audience Q&A: Regulatory Auditability, Deterministic Lineage, and NIST/GDPR SDLC

📊 The Problem: The Context-Window "Credit Suck" & AI Fabrication

When non-technical domain leaders attempt to build complex software using basic chat prompts, they quickly encounter two major barriers: context decay and AI fabrication. Re-teaching an entire multi-tenant codebase to a general AI model on every iteration rapidly consumes token credits without maintaining state. Furthermore, unguided models fabricate plausible-sounding code and logic rather than adhering strictly to empirical laws or financial regulations, creating massive compliance risks if deployed blindly.

🏗️ The Solution: Component-Driven SDD & Specialist Agent Fleets

Sarah Hilton-Burroughs demonstrates how business leaders can structure their domain knowledge into a scalable software pipeline: Spec-Driven Prompt Libraries: Replacing endless conversational chats with structured markdown specification libraries and component-level rule sets. Specialized Agent Delegation: Customizing dedicated AI agents for specific architectural layers (e.g., a schema agent that exclusively manages database mutations). Domain Knowledge Moats: Recognizing that code writing has been democratized, shifting the builder’s focus to requirements precision, data science fundamentals, and cross-jurisdictional compliance.

⚙️ Why This Matters for Financial EngineeringEmbedded Regulatory Auditing:

Integrating NIST AI RMF, ISO, and GDPR frameworks directly into the SDLC to generate immutable data provenance, lineage, and mathematical state logs that pass strict regulatory scrutiny. Expanding the Creator Base: Empowering product managers and domain experts to rapidly prototype and validate solutions alongside senior system architects, drastically accelerating time-to-market for financial tools.

🌐 More about FINOS: https://www.finos.org/
📧 Join our newsletter: https://www.finos.org/sign-up
🎙️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation

#OSFFNewYork #ZenithSIG #PromptEngineering #SpecDrivenDevelopment #RegTech #AIGovernance #FinTech #OpenSource

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Video by Open Data Science and AI Conference via YouTube

AI coding agents are already becoming part of everyday development, but their role is expanding beyond local coding assistance.

In this ODSC AI East 2026 keynote, Robert Brennan, CEO of OpenHands, explores how developers are using agents in both the inner loop and outer loop of software development. The inner loop includes local, iterative coding tasks inside the developer workflow. The outer loop goes further, using agents for code review, CI/CD fixes, and even end-to-end changes without opening an IDE.

Drawing on his experience building OpenHands, a fully autonomous AI developer, Robert examines where agentic development works best, when it should be used with caution, and how teams can unlock meaningful productivity gains by applying agents to the right engineering tasks.

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Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai

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Video by SAP via YouTube

See how Illumina Technology uses SAP Transportation Management and SAP Business Network for Logistics to automate logistics for time-critical diagnostics.

Illumina Technology’s mission is to improve human health by unlocking the power of the genome. Its genomic sequencing technology supports breakthroughs in rare disease diagnosis, oncology treatment, and clinical research. But for that mission to succeed, temperature-sensitive products must reach hospitals and laboratories on time.

To move away from fragmented, manual, email-based transportation planning, Illumina Technology implemented SAP Transportation Management and SAP Business Network for Logistics. With tighter integration across SAP systems, the company can improve transportation visibility, automate carrier coordination, and support data-driven decisions across its logistics operations.

Today, Illumina Technology has onboarded 15 to 20 bulk carriers through SAP Business Network, enabling carriers to validate booking details and send confirmations electronically. With a more integrated foundation, Illumina Technology can better manage customer demand, reduce manual bottlenecks, and support the reliable delivery of products where delays of hours or days can have a real human impact.

Learn how Illumina Technology cuts out manual bottlenecks to speed genomic delivery: https://sap.to/6051B1apRB

Follow us on social:
LinkedIn: https://sap.to/6053B1apRD
Instagram: https://sap.to/6054B1apRE
Facebook: https://sap.to/6055B1apR1
Threads: https://sap.to/6056B1apRG

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/6057B1apRH

#SAP #SupplyChain #Logistics

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Video by Michael Tunnell via YouTube

Linux Desktop Market Share Just Hit a Massive New Milestone

Follow for more #Linux and #OpenSource news

Full episode at https://thisweekinlinux.com/354

#tech #podcast #technology

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Video by TWiT Tech Podcast Network via YouTube

Windows Weekly is about more than Windows. Veteran Microsoft insiders Paul Thurrott and Richard Campbell join Leo for a deep dive into the most valuable company in the world. From consumer to enterprise, AI to Xbox, Windows Weekly is the only Microsoft podcast you’ll ever need.

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

About us:
TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.

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