HM Godoy

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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