open source

Video by OpenCV via YouTube

SpikerBot is a neuroscience robot that moves, reacts, and changes behavior based on the neural circuits you build in the app. No coding required. They recently launched a Kickstarter campaign and we’re excited to have them join us on the show. Build a Brain and Watch It Come to Life on OpenCV Live this week!

OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/

Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.

Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join

Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151

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Video by NetApp Instaclustr via YouTube

If you’re working on high-stakes applications like enterprise search, customer support, healthcare information, legal research, or financial services, it’s vital that an AI use provides accurate results. Hybrid RAG is a powerful approach for accuracy-critical AI use cases where factual answers matter most.

Learn from Sr. AI developer advocate David VonThenen as he builds a Hybrid RAG model using Graph + Vector RAG and Neo4j + OpenSearch.

Check the GitHub: https://bit.ly/4tTNJzv
Understand Graph RAG: https://bit.ly/4mR3ORR
Learn more about Hybrid RAG: https://bit.ly/4pz0D3b

Be sure to subscribe for all things AI!

Timestamps:

00:15: Typical vector embedding pipeline
00:35: Understanding semantic similarly
01:58: Graph-based retrieval and knowledge graphs
02:56: Hybrid RAG architecture model
03:44: Vector and hybrid-based retrieval demo with Neo4j and OpenSearch
06:34: The pros and cons of knowledge graphs and vector embeddings

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Video by FOSSASIA via YouTube

Thai localization projects often face challenges with inconsistent translations, especially when .po translation memory contains mixed styles from outdated and newer sources. While LLMs can produce high-quality translations, they often lack consistency with project-specific tone and style.

In this talk, we introduce Lazy-L10N, an open-source localization tool designed to improve translation consistency using local LLMs and vector search.

Lazy-L10N builds a translation memory from .po files, uses pgvector for semantic retrieval of relevant examples, and leverages a local LLM to generate context-aware, style-consistent translations.

We demonstrate the system using real-world case studies from Okular and KDE Thai localization.

FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org

Session slides: https://eventyay.com/ev/88882f3e/talk/R5MK5NQE2NCX/

#FOSSASIA #FOSSASIASummit #opensourcegames #FOSS

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Video by FINOS via YouTube

Multi-Adapter Endpoints on AWS: Cost-Optimized Fine-Tuning with QLoRA for Multi-Customer Legal GenAI

https://github.com/aws-samples/sagemaker-genai-hosting-examples/tree/main/06-examples/01-train-deploy-LoRA

Supreet, a senior GenAI solutions architect at AWS Startups (Frontier AI team), presents a case study on using SageMaker multi-adapter endpoints to support a legal-tech SaaS with multiple customer datasets without deploying multiple model endpoints. After limited success with RAG and prompt engineering, the startup moved to fine-tuning using parameter-efficient QLoRA on an open-weights model (tested with Mistral 7B) to reduce cost and training time, training an initial ~100MB dataset in about two hours. A single real-time endpoint hosts the base model while multiple small adapters (about 50–200MB) are swapped in milliseconds via routing logic (implemented with AWS Lambda and keyword/LLM-based hybrid routing) to meet sub-5-second latency targets. Supreet emphasizes adapter-level evaluations using NLP metrics and LLM-as-a-judge with SME input, plus an AWS architecture involving S3, SageMaker training/evaluation, model registry, API Gateway, and monitoring.

00:00 Welcome and Intro
01:06 Session Setup and Slides
01:59 Legal Tech Case Study
03:10 Requirements and Constraints
04:42 Choosing QLoRA and Model
07:13 Multi-Adapter Endpoints Explained
09:39 Routing and Adapter Switching
11:46 Latency Results and Benefits
12:50 Evaluations and Architecture
14:14 Q&A Model Registry and Benchmarks
16:57 Deployment Layers and Monitoring
20:26 More Q&A Fine-Tuning vs RAG
24:53 Wrap-Up and Next Steps

Learn more about Zenith: https://zenith.finos.org

🌐 More about FINOS: https://www.finos.org/
📧 Join our newsletter: https://www.finos.org/sign-up
📥 Download the State of Open Source in Financial Services report: https://www.finos.org/state-of-open-source-in-financial-services
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🗣️ Attend the next Open Source in Finance Forum: https://hubs.ly/Q03z9D9D0
LinkedIn: https://www.linkedin.com/company/finosfoundation

00:00 Welcome and Guest Intro
00:20 James Ashley XR Journey
02:53 Back to Smart Glasses
05:14 AI Accelerates XR Apps
08:05 Hunting the Killer App
10:24 SharePlay and Learning in XR
13:33 Design Philosophy in MR
16:26 Focus and VR Training
18:27 Star Wars vs Star Trek AI Lens
21:21 Will Developers Still Matter
23:38 AI Lowers the XR Barrier
26:40 Fragments and MR Storytelling
27:52 Blender MCP Breakthrough
32:26 Parting Advice and Closing

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Video by Open Data Science and AI Conference via YouTube

Powered by 100 millionm miles on public roads and billions more in simulation, the Waymo Driver is the most advanced application of AI in the physical world today. Waymo collects massive amounts of data from real roads and billions of miles driven in computer simulations. Manasi Joshi, director of Systems Intelligence and Machine Learning, will explain how Waymo’s engineers use these huge datasets to advance how cars "see" the world, predict what other drivers will do, and plan their routes. You’ll hear about how Waymo uses ML to train and test these self-driving systems and how its open dataset is motivating further public research in autonomy. This work helps make Waymo’s autonomous vehicles safer and more reliable every day in an era of rapid expansion and competition of autonomous ride-hailing services.

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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

To watch more videos like this, visit https://aiplus.training

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Video by The Late Night Linux Family via YouTube

Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux

We all seem to be moving away from Ubuntu, but there are still quite a few reasons to keep using it.

https://linuxafterdark.net/linux-after-dark-episode-122/

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Video by SAP via YouTube

See how ZF Group is using SAP RISE, SAP Business Data Cloud, and AI to modernize a complex global manufacturing landscape.

At SAP Sapphire Madrid 2026, Thomas Buck, Chief Information Officer at ZF Group, shares how ZF Group is preparing for AI at scale while transforming a highly customized SAP ECC environment shaped by years of growth and acquisitions. With more than 150,000 employees across 29 countries and 160+ plants, ZF is using RISE with SAP and SAP Business Data Cloud to move toward clean core, make data AI-ready, and build a stronger foundation for innovation.

The conversation explores how ZF is applying AI to an industry-specific quality management challenge: the 8D problem-solving process. Today, teams manually review historical reports, search for similar cases, identify root causes, and assess whether issues could recur across other products. Working with SAP through a forward-deployed engineering approach, ZF built a custom AI framework with four agents to help analyze historical data, compare current cases, support root cause analysis, and propose solutions based on past cases.

ZF also shares the expected business value, including faster processes, improved quality, and potential savings in the mid double-digit millions of euros. The discussion closes with how WalkMe helps users adopt new AI-enabled ways of working and how SAP Max Success Plan supports ZF’s broader transformation journey.

Chapters:
00:00 – Welcome and ZF’s AI journey
00:28 – ZF’s global manufacturing scale
01:13 – Moving from complex ECC landscapes to clean core
01:56 – RISE with SAP and SAP Business Data Cloud
03:08 – Industry AI and the 8D quality process
04:24 – Building a four-agent AI framework
05:07 – Forward-deployed engineering with SAP
06:05 – AI value and expected savings
07:14 – Driving adoption with WalkMe
08:31 – What’s next for ZF and SAP

Watch the full Customer Success Keynote. 👉https://sap.to/6050B8GXnq
Watch all SAP Sapphire replays on demand. 👉https://sap.to/6052B8GXns

Follow SAP:
LinkedIn: https://sap.to/6054B8GXnQ
Instagram: https://sap.to/6057B8GXnx
Facebook: https://sap.to/6058B8GXnI
Threads: https://sap.to/6059B8GXnL

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/6050B8GXn0

#RISEwithSAP #SAPBusinessAI #SAPSapphireMadrid2026

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Video by Michael Tunnell via YouTube

Linus Tech Tips is back with Part 2 of their 2026 Linux Challenge so of course I had to react to it.

In this reaction video, I go through Linus’ latest Linux experiment and share my thoughts as someone who has been daily driving Linux for many years. We’ll talk about what went well, what didn’t, and some of the bigger takeaways for people who are curious about switching to Linux themselves.

Original Linus Tech Tips video:

My video for getting started with Linux:

Latest episode of This Week in Linux:

Join my Linux community:
https://tuxdigital.com/community

Support the channel by becoming a patron at https://tuxdigital.com/membership or get some swag at https://store.tuxdigital.com/

Chapters:
00:00:00 Intro
00:00:44 LINUS WHY POP_OS!
00:11:26 AI Chatbots & Listicles, nah
00:14:50 More of a Pen Test for Linux
00:17:13 Elijah’s Network Share Issue
00:20:50 Luke Trying Some Advanced Stuff
00:23:20 NTFS on Linux
00:27:08 Elijah’s Gaming Experience
00:27:31 Video Codec Issues
00:29:51 Who Should We Blame?
00:31:40 Oh, I know who’s to blame!
00:32:33 73.6% of All Percentage Stats are Made Up
00:34:16 Linux Gamers like to help more
00:38:12 Linus Tries Other Distros
00:41:11 What is a Beta?
00:44:36 SteamOS
00:45:02 Is switching out hardware a bit of a hack?
00:46:43 Linus tries Kubuntu
00:48:16 Debs vs Flatpaks vs Snaps vs AppImages
00:49:59 OBS issues but is it really?
00:51:35 Clearing up Flatpak and Wayland confusion
00:54:38 Windows Bad Also
00:58:04 Toxic community claims
01:02:25 App Compatibilty things
01:04:01 DaVinci Resolve is great
01:05:10 Elijah discovers an Immutable OS
01:08:53 Kdenlive
01:09:30 In defense of GIMP, well kind of
01:12:12 LTT Still LOVES Open Source!
01:12:55 Join in at Home!
01:13:34 Creating content to help find ways to improve
01:15:40 PT 3 Soon-ish
01:16:18 Outro

Thanks For Watching!

#Linux #OpenSource #SwitchtoLinux

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Video by TWiT Tech Podcast Network via YouTube

This event is made possible by the support of Club TWiT members. Learn more, and join us, at https://twit.tv/clubtwit

Join Leo Laporte and Jeff Atwood of CodingHorror.com for a hangout session.

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Video by Linux Tex via YouTube

⚡ Try Linux on VPS! Spin up Linux distros in 30 seconds with Hostinger VPS
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Use code : LINUXTEX

Tired of Windows getting in your way? After daily driving Linux for nearly 20 years, I’m laying out exactly 7 things Linux does flat out better than Windows in 2026 — and #1 is the one that’ll completely change how you think about computing.

This is not a rant. This is receipts. Real, demo-backed wins that go way beyond "open source is cool." From privacy that’s actually yours, to giving a dying Windows 10 laptop a second life, to a desktop you can truly call your own — these are the reasons millions of people are quietly switching from Windows to Linux this year.

Here’s what we cover in this video:
🔒 Real privacy by default — no Microsoft account, no telemetry, no tracking, no leash
💻 Bring old hardware back to life — Windows 11 demands TPM 2.0, Linux doesn’t care
🎨 Unlimited desktop customization — GNOME Extensions, KDE Plasma widgets, Cinnamon Spices
💿 The Live USB test drive — try the entire OS on your machine before you install
🚀 The GNOME workspace flow — a fundamentally smarter way to use your computer
📦 One-command app installs — APT, DNF, Flatpak, Snap — no more .exe hunting
🌍 Real choice — Ubuntu, Fedora, Linux Mint, Arch, Debian, openSUSE, Pop!_OS, Zorin and beyond

Whether you’re a long-time Windows user thinking about switching to Linux, a curious tech enthusiast, or a complete Linux beginner trying to figure out which distro to start with — this video lays it all out without the fanboy nonsense.

🚀 Sponsor: Hostinger VPS

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🎟️ Use code LINUXTEX for an exclusive discount

Timestamps:
0:00 Intro
0:37 #7 Real Privacy
2:28 #6 Old Hardware Support
3:31 #5 Customization
5:21 #4 Live USB
6:52 Sponsor- Hostinger
7:39 #3 Gnome Workspace Flow
8:58 #2 App Store Done Right
10:05 #1 Distros & EcoSystem

🔗 Next up: Top 10 Best Linux Distros of 2026 — a must-watch if you’re a Linux newcomer or thinking about switching from Windows.

Linux vs Windows 2026 | switch from Windows to Linux | why Linux is better than Windows | Linux for beginners | Ubuntu 26.04 LTS | Linux Mint review | Fedora vs Ubuntu | GNOME extensions | Linux customization | Linux privacy vs Windows | install Linux on old laptop | Windows 11 alternative | desktop Linux 2026 | Linux vs Windows 11 | best Linux distro 2026 | TPM 2.0 Linux | Microsoft account requirement | switching to Linux | daily driving Linux | KDE Plasma | apt install | Flatpak vs Snap | live USB Linux | GNOME workspaces | open source operating system

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