Video by Trino via YouTube
– 0:00 Trino 480 release
– 5:12 Trino Gateway 18
– 8:45 Teradata connector PR progress
– 15:20 Other topics
More details at https://github.com/trinodb/trino/wiki/Contributor-meetings#trino-contributor-call-25-mar-2026
Video by Flagsmith via YouTube
AI is transforming how software gets built: code ships faster, prototypes get generated in minutes, and development cycles are shrinking. But speed without a safety net is just risk. In this webinar, Flagsmith co-founder and founding engineer Kyle Johnson walks through why feature flags are the missing piece in every AI-assisted development workflow.
What we cover:
• What feature flags are and why they’ve become a software development best practice
• How to decouple deployment from release — so pushing to production stops being a high-stakes event
• Testing in production safely with targeted rollouts and internal team segments
• Why AI-generated code increases the need for safety nets, not decreases it
• A live demo of the Flagsmith MCP server — automatically creating feature flags inside Claude before a single line of code is written
• Where to start if your team is new to feature flags or AI-assisted development
Key takeaway: AI gives you speed. Feature flags give you control. Used together, they let engineering teams ship at startup pace without putting production at risk.
Video by SAP via YouTube
Winning today isn’t just about talent, it’s about how you use your data.
In this customer story, Team Liquid shows what it looks like to compete on trusted, context-rich data, and why that foundation matters before you put an AI layer on top. When data doesn’t match and context gets lost, AI can create more noise than insight. But when your data is connected and trusted, you can get the right information at the right time to make faster decisions and stay ahead.
With SAP Business Data Cloud, Team Liquid connects half a trillion data points while keeping context attached across gameplay, performance, and strategy. That means they can reason across what happened, why it happened, and what’s likely to happen next.
You’ll also hear how they’re applying AI to speed preparation and reduce manual work, including an AI-powered draft tool that helps teams walk into competition with preparation that’s clearer and faster. And with Joule Agents, they can ask highly technical questions in plain language and get answers grounded in the competitive context they need.
Catch the replay of The Fabric of Data & AI and hear more from leaders turning data into real outcomes: https://events.sap.com/fabric-of-data-and-ai/en_us/home.html?source=social-glo-orgsocial-bdcsurge
Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap
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://www.sap.com/index.html
#BusinessAI #DataAndAI #SAP
Video by TWiT Tech Podcast Network via YouTube
MacBreak Weekly covers all things Apple: Leo, Andy Ihnatko, Jason Snell, and Christina Warren analyze every bit of news from the most interesting company in tech. From AI to Vision Pro, iPad to iPhone, these Apple experts know-all and tell-all.
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.
Video by Meta Developers via YouTube
Take a practical deep dive into hitting and holding frame rate on Meta Quest 3/3S. Learn why performance matters more in VR than any other medium, how to diagnose bottlenecks, and how to use the latest profiling and optimization tools to ship smoother, more comfortable experiences.
🔗 Performance Tools:
Fixed Foveated Rendering
→ Unity: https://bit.ly/47Vcjqf
→ Unreal: https://bit.ly/3Onw4jE
Application SpaceWarp
→ Unity: https://bit.ly/4ciD8WE
→ Unreal: https://bit.ly/4mnKbBW
Dynamic Resolution
→ Unity: https://bit.ly/4cl3aZo
→ Unreal: https://bit.ly/3Q4l77a
OVR Metrics Tool
→ Unity: https://bit.ly/4sCcHl1
→ Unreal: https://bit.ly/4sv4xdS
Perfetto
→ https://bit.ly/4coRe8W
📌 Chapters
00:00 Introduction
01:38 The Role of Performance in VR
02:52 Establishing Performance Targets and Budgets
05:56 Core Rendering Optimization Techniques
08:59 GPU Performance Profiling and Workflows
11:40 Case Study: Optimizing Unity’s Universal Render Pipeline (URP)
16:01 In-Depth Analysis with RenderDoc for Shader Iteration
30:19 CPU Performance Analysis Using Perfetto
39:48 Next-Generation AI-Powered Performance Tools and Assistants
45:59 Developer Ecosystem Updates and Infrastructure Improvements
48:46 Post-Launch Performance Monitoring and Telemetry
51:33 Summary, Best Practices, and Audience Q&A
Video by Rasa via YouTube
Spirit Airlines CIO Sapana Patel joins host Lauren Goerz to break down how enterprise AI actually gets built — from data architecture and conversational agents to leading teams through rapid technological change.
Sapana walks through Spirit’s four-layer AI framework, how her team handles anonymous customer data without sacrificing security, and what metrics truly define AI success at scale: solution ratio, revenue impact, uptime, and stability. She also shares her philosophy on technology leadership — treating engineers as artists, balancing innovation with operational excellence, and building trust across technical and business teams.
If you work in AI, enterprise tech, or leadership, this conversation delivers the specifics most people skip over.
00:00 Introduction
02:30 Sapana Patel’s approach to technology leadership
06:15 Spirit’s four-layer AI architecture explained
12:40 Building conversational agents in-house
18:55 Handling anonymous customer data securely
24:10 Metrics that define AI success
30:45 Event-driven data platforms and customer touch points
38:20 Leading teams through AI transformation
44:00 Closing thoughts and leadership insights
🎙️ The Dialogue Architects drops new episodes regularly — subscribe and hit the bell so you never miss one.
#TheDialogueArchitects #AILeadership #ConversationalAI #SpiritAirlines #CIO #TechLeadership #EnterpriseAI #DataStrategy #AIInfrastructure #CustomerExperience #ArtificialIntelligence #Podcast #TechPodcast #AITransformation #MachineLearning #DigitalTransformation #AviationTech #ProductivityAI #FutureOfWork #WomenInTech
Video by The Linux Foundation via YouTube
AI infrastructure is scaling to hundreds of thousands of automatically generated queries per second. But traditional search methods can’t keep up—inaccurate vector search results drive compute waste and hallucinations across your AI stack. This isn’t just a performance problem. It’s an architectural crisis that impacts every enterprise deploying agentic AI at scale.
In this exclusive interview with Swapnil Bhartiya at TFiR, Bianca Lewis, Executive Director of the OpenSearch Software Foundation, explains how OpenSearch has evolved from an AWS fork into critical AI infrastructure powering NVIDIA’s agentic AI platform. Since joining the Linux Foundation 18 months ago, OpenSearch has doubled downloads to 1.4 billion, expanded to over 400 contributing companies, and secured enterprise deployments at Changi Airport and Atlassian.
Key Topics Covered:
• Hybrid search architecture combining lexical and semantic search to prevent AI hallucinations and reduce compute costs
• AI-native telemetry integration with OpenTelemetry, Prometheus, and observability suites for monitoring agentic AI workflows
• Real-time trace and log correlation in unified dashboards for enterprise-grade AI infrastructure visibility
• Vendor-neutral governance model driving OpenSearch growth under Linux Foundation stewardship
• Production case studies from Changi Airport (world’s largest airport retail search) and Atlassian (RPM acquisition)
Read the full story & transcript at www.tfir.io
#OpenSearch #AgentyicAI #AIInfrastructure #VectorSearch #Observability #LinuxFoundation #HybridSearch #RAG #OpenTelemetry #EnterpriseAI
Video by The Linux Experiment via YouTube
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Timestamps:
00:00 Intro
00:35 Sponsor: TuxCare
02:03 Germany outlines their plan to move to open source
04:08 USA might have nation wide age verification laws
06:03 EU has an age verification app ready
07:56 Linux kernel 7.0 released
10:06 Linux kernel accepts A.I. code
11:38 Chrome has 47% better performance than Firefox
13:20 Steam Controller might be arriving soon
14:26 KDE sprint for remapping gestures, virtual keyboard & more
15:51 Plasma gets per-monitor virtual desktops
17:35 Mint won’t have a release until the end of the year
19:56 Proton 11 beta released
21:10 Mozilla releases Thunderbolt, their own AI client
23:39 Sponsor: Tuxedo Computers
Links:
Germany outlines their plan to move to open source (link in German)
https://deutschland-stack.gov.de/gesamtbild/
USA might have nation wide age verification laws
Federal Bill Would Bring OS-Level Age Verification to the Entire U.S.
EU has an age verification app ready
https://www.dw.com/en/eu-chief-urges-bloc-wide-push-on-age-verification-app-to-protect-children-online/a-76788202
Linux kernel 7.0 released
Linux 7.0: faster swap, Intel TSX & Rock Band 4 controller support
Linux kernel accepts A.I. code
https://github.com/torvalds/linux/blob/master/Documentation/process/coding-assistants.rst
Chrome has 47% better performance than Firefox
https://www.phoronix.com/review/firefox-chrome-2026
Steam Controller might be arriving soon
https://www.techradar.com/gaming/gaming-accessories/valves-steam-controller-launch-looks-imminent-based-on-new-public-records-and-it-might-finally-give-me-the-perfect-excuse-to-build-a-custom-steam-machine
KDE sprint for remapping gestures, virtual keyboard & more
https://merritt.codes/blog/2026/04/15/2026/_kde_mega_sprint
Plasma gets per-monitor virtual desktops
https://itsfoss.com/news/kde-plasma-per-screen-virtual-desktops/
Mint won’t have a release until the end of the year
Proton 11 beta released
https://github.com/ValveSoftware/Proton/releases/tag/proton-11.0-1-beta1
Mozilla releases Thunderbolt, their own AI client
https://www.thunderbolt.io/
https://github.com/thunderbird/thunderbolt
https://github.com/thunderbird/thunderbolt/blob/main/TELEMETRY.md
#linux #linuxdesktop #linuxnews
Video by Linux Tex via YouTube
⚡ Get Your Own OpenClaw running on Hostinger in 2 Minutes.
https://hostinger.com/linuxtex10
Use code : LINUXTEX
My Linux system now cleans its own files, organizes screenshots, plans my day, creates reminders from WhatsApp voice notes, writes shell scripts, researches Linux news, and even installs software — using OpenClaw, a free open-source local AI agent for Linux.
In this video, I’m showing 10 real OpenClaw automations I actually use on my Linux desktop. This is not just another chatbot demo. OpenClaw can access your local files, run shell commands, use skills, remember instructions, schedule cron jobs, connect to WhatsApp, and work like a background AI assistant running directly on your machine.
We’ll go through practical OpenClaw workflows like:
🧹 Cleaning and organizing a messy Downloads folder automatically
🖼️ Renaming screenshots based on what is actually visible inside them
🎙️ Turning WhatsApp voice notes into tasks and cron reminders
🌅 Creating a daily morning briefing with weather, Nifty 50, market pulse, and Linux news
📅 Planning and rescheduling events inside GNOME Calendar
📝 Preparing for meetings and generating post-meeting notes
🔍 Building a Linux research bot for release notes, Reddit reactions, and creator-friendly summaries
🧠 Using OpenClaw as a second brain for memory and idea synthesis
💻 Installing VS Code and developer tools through a secure pkexec workflow
⚙️ Creating powerful shell scripts without writing code manually
This is the point where Linux + local AI automation starts feeling genuinely futuristic. You describe what you want in plain English, and OpenClaw turns it into a working automation on your system.
All prompts used in this video are linked below.
🔗 Links
OpenClaw installation and setup video: https://youtu.be/DlySjREHq44
All prompts from this video: https://gist.github.com/aquilroshan/6ea474dddeb825a08545bdb395d50a76
Hostinger OpenClaw setup: https://hostinger.com/linuxtex10
Use code: LinuxTex
#OpenClaw #Linux #LinuxAutomation #LocalAI #OpenSourceAI #AIAgent #LinuxDesktop #SelfHostedAI #Ubuntu #ShellScripting
Video by Linux For Everyone via YouTube
Ed Crisler has been gaming on PCs before Windows existed. And he’s spent half of his career evangelizing AMD Radeon graphics cards as the North American PR rep for Sapphire Tech. He just switched to Linux. And he has some opinions.
CHAPTERS:
0:00 Meet Ed Crisler: 48 Years of PC Gaming!
3:48 Ed’s job at Sapphire Tech
7:47 What an Operating System SHOULD Be
16:40 Performance Numbers Don’t Matter
26:41 Paper Cuts
33:17 Is Linux Really Better?
38:22 Why Linux Support Can Be So Frustrating
48:52 AMD’s Chance To Strike
54:56 Cloud Gaming Is A Cancer
1:14:06 Where Linux Gaming Goes Next
🙏 Support the channel by shopping Amazon using this affiliate link: https://amzn.to/482Huk1
🛍️ GET NEW L4E MERCH: https://l4e.store
🎧 ORIGINAL L4E THEME SONG:
"Brain Dead" by Jerry Morrison & Jason Evangelho.
*Full version on Soundcloud: https://soundcloud.com/jerrymorrison/braindead
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