open source

Video by OpenSource via YouTube

I went inside AI EVERYTHING x GITEX Kenya at KICC in Nairobi, one of the biggest AI events in East Africa.

And what I saw didn’t feel like a normal tech event.

It felt like a glimpse into something much bigger happening in Kenya’s AI and startup scene.

From AI startups and developers to global tech companies, everyone was building, pitching, and showing what the future of artificial intelligence in Africa might look like.

In this vlog, I take you inside the event, walk through KICC, and share what it actually feels like to be in the middle of Kenya’s AI moment.

📍 Location: KICC, Nairobi, Kenya
🎥 Event: AI EVERYTHING x GITEX Kenya

AI in Kenya, Nairobi tech scene, Africa AI, GITEX Kenya, AI event Africa, artificial intelligence Africa, startups in Kenya, tech vlog Kenya, Silicon Savannah, future of AI

If you’re interested in AI, tech, and the future of Africa’s innovation scene, you’ll enjoy this.

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Video by FOSSASIA via YouTube

This talk explores how open source AI is transforming healthcare through multimodal applications. Learn how open source frameworks accelerate development of Thai-language speech-to-text models for medical conversations, enabling accurate doctor–patient transcription systems.

We’ll also showcase real-world deployments including DMIND, a speech-based depression prediction tool, and 3D medical image reconstruction for skull and mandible surgery planning.

Discover how open source AI enables faster prototyping, clinical validation, and broader access to healthcare innovation—helping democratize medical AI development in Thailand and beyond.

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

#FOSSASIA #FOSSASIASummit #opensource #FOSS #AI

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Video by TWiT Tech Podcast Network via YouTube

The Untitled Linux Show covers the week’s hottest Linux news for desktop, gaming, and even enterprise. ULS is the weekly update you don’t want to miss, from the latest kernel development to the updates on your favorite apps! Each episode finishes with a killer command line tip from each host.

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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Video by The Linux Experiment via YouTube

Secure your passwords and logins with Proton Pass: https://proton.me/pass/TheLinuxEXP

Grab a brand new laptop or desktop running Linux: https://www.tuxedocomputers.com/en#

👏 SUPPORT THE CHANNEL:
Get access to:
– a Daily Linux News show
– a weekly patroncast for more thoughts
– your name in the credits

YouTube: https://www.youtube.com/@TheLinuxEXP/join
Patreon: https://www.patreon.com/thelinuxexperiment

Or, you can donate whatever you want:
https://paypal.me/thelinuxexp
Liberapay: https://liberapay.com/TheLinuxExperiment/

👕 GET TLE MERCH
Support the channel AND get cool new gear: https://the-linux-experiment.creator-spring.com/

Timestamps:
00:00 Intro
00:42 Sponsor: Proton Pass
01:55 Torvalds talks about AI reports
04:25 Torvalds merges guidelines for Linux security and AI reports
07:04 Wine now runs Adobe Lightroom CC on Linux
09:34 Vivaldi & Firefox revamp their whole user interface
13:20 Greg Koah Hartman says Rust could eliminate 80% of CVEs
15:00 Fedora removes Deepin Desktop packages
17:02 Changes for Bitwarden have the community worried
18:54 New Module Jail tool to mitigate Linux flaws
21:05 Microsoft uses Fedora as its base for Azure
22:40 HP sponsors LVFS
24:23 Fedora surveys contributors over "verified" status
26:51 Sponsor: Tuxedo Computers
27:40 Support the channel

Links:
Torvalds talks about AI reports
https://www.phoronix.com/news/Torvalds-AI-Tools-Can-Be-Great

Torvalds merges guidelines for Linux security and AI reports

Linus Torvalds Merges New Linux Kernel Security Bug Guidelines

Wine now runs Adobe Lightroom CC on Linux
https://github.com/sander110419/lightroom-cc-on-linux

Vivaldi & Firefox revamp their whole user interface
https://vivaldi.com/blog/vivaldi-on-desktop-8-0/

Designing Firefox for the future

Greg Koah Hartman says Rust could eliminate 80% of CVEs
https://itsfoss.com/news/linux-kernel-rust-cve-reduction/

Fedora removes Deepin Desktop packages
https://security.opensuse.org/2025/05/07/deepin-desktop-removal.html
https://pagure.io/fesco/issue/3409
https://lists.fedoraproject.org/archives/list/devel@lists.fedoraproject.org/thread/YFZBLHOTVMINNY5I7JSO4JOXHFH3SARN/

Changes for Bitwarden have the community worried

Bitwarden Faces Questions After Quiet Leadership and Messaging Changes

New Module Jail tool to mitigate Linux flaws

ModuleJail Blocks Unused Linux Kernel Modules to Limit Attack Surface

Microsoft uses Fedora as its base for Azure
https://itsfoss.com/news/azure-linux-4/
https://github.com/microsoft/azurelinux/blob/4.0/README.md

HP sponsors LVFS
https://blogs.gnome.org/hughsie/2026/05/20/lvfs-sponsorship-announcement-hp/

Fedora surveys contributors over "verified" status

Fedora Verified: What Does the Community Think?

#linuxnews #linuxdistro #linuxdesktop

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Video by OpenProject | Open Source Project Management via YouTube

Hear from our CEO, Niels Lindenthal, as he talks about what he loves most about working at OpenProject. And a quick spoiler: we’re already building the next release.

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Video by OpenAI via YouTube

Workspace agents in ChatGPT help teams turn repeatable workflows into shared agents that can pull in context, use tools, and move work forward on their own.

In this demo, you’ll see how admins and builders can set safeguards for workspace agents. Enterprise admins can centrally manage who can use, build, and publish agents, and define what agents are allowed to do. Builders can also configure when agents should ask for approval before taking specific actions, so agents work the way teams need them to across users and workflows.

Workspace agents are generally available to ChatGPT Business, Enterprise, and Edu.

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Video by H2O.ai via YouTube

How H2O.ai bridges visual no-code ML pipelines and code-first Python execution for diverse data science working styles.

AI teams contain visual thinkers, coders, and everyone in between. Driverless AI supports intuitive wizards and visual pipeline diagrams for feature engineering and model tuning. MLOps allows switching between UI-based row scoring and command-line batch execution. h2oGPTe agents generate sandbox-tested Python code that can be exported, modified, and used in automated testing—enabling teams to fluidly transition from a visual interface to a fully scriptable environment without losing any work.

Technical Capabilities & Resources

➤ Visual Pipeline Composition: Visualize feature engineering, model selection, and ensembling steps as interactive diagrams in Driverless AI.
🔗 https://docs.h2oai.com/driverless-ai/latest-stable/docs/userguide/scoring_pipeline_visualize.html

➤ No-Code to Code Conversion: Export UI workflows from Driverless AI into reproducible, executable Python scripts.
🔗 https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/examples/autoviz_client_example/autoviz_client_example.html

➤ Custom Code Integration: Incorporate custom functions and recipes directly into Driverless AI workflows for granular control.
🔗 https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/custom_recipes.html

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Video by MLflow via YouTube

Learn how to build and evaluate a production-style Retrieval-Augmented Generation (RAG) agent with MLflow. This is Part 1 of a two-part series on a complete workflow: register prompts and the agent, capture execution traces with ground-truth expectations, and run evaluations across multiple frameworks from a single MLflow interface.

What this video covers:
Use case: A “school assistant” agent that answers children’s questions about school policies (cell phones, attendance, and more) in a child-friendly tone.
👉 Stack: LangChain, FAISS, Amazon Bedrock, MLflow

Workflow highlights:
• Prompt registration in the MLflow Prompt Registry (versioning + aliases like "production" so prompts can change without redeploying code)
• Agent definition using MLflow’s standardized agent base class (logging, versioning, deployment patterns)
• Trace capture on evaluation questions, including retrieved context and final outputs
• Ground truth expectations from subject matter experts, logged with traces for evaluation reference
• Multi-framework evaluation in one place: Custom MLflow LLM judge, Ragas, Arize Phoenix, and a deterministic retriever scorer

Results: Aggregated and per-trace metrics with judge rationales, plus tracking over time (including moving averages) to monitor iteration.

Coming in Part 2: Aligning a custom judge with human SME feedback using natural language when generic LLM judges are less reliable in domain-specific settings.

🎤 Speaker: Joana Mesquita, MLflow Ambassador

🔗 Repo with the code: https://github.com/joanacmesquitaf/rag-agent-mlflow-evaluation
📖 Read the accompanying blog post for a deep-dive tutorial and code breakdowns: https://medium.com/@joana.c.mesquita.f/evaluating-generative-ai-with-mlflow-from-development-to-deployment-validation-85bc2bd5e7a9

Timestamps:
0:00 – Introduction & The Problem of Fragmented Evaluation
2:15 – Introduction to the MLflow GenAI Module
5:30 – Step 1: Setting up the MLflow Environment
8:45 – Step 2: Defining the Agent & Prediction Function
12:10 – Step 3: Structuring the Evaluation Dataset & Ground Truth
15:40 – Step 4: Configuring Scorers (Built-in & Custom Metrics)
18:55 – Step 5: Running mlflow.genai.evaluate() & UI Walkthrough
21:30 – Wrap-up & Preview of Part II

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