HM Godoy 
Video by The Linux Foundation via YouTube
Shuah Khan and Greg KH will talk about Shuah’s experience as a kernel developer and maintainer, taking questions from the attendees. Shuah will share what works and what doesn’t for her and strategies, interpersonal and technical skills and mindset that help her stay engaged for a longer term.
Security and Privacy IPFire’s New DNS Firewall: IPFire introduces a DNS firewall designed to replace URL filters and Pi-hole, enhancing network security. CopyFail Linux Privilege Escalation: A new CVE (CVE-2026-31431) highlights a local privilege escalation vulnerability in Linux, raising concerns for administrators. Leaving GitHub: A programmer’s guide offers practical steps for migrating away from GitHub, … Read more
Analysis These stories highlight a pivotal moment for open source: unprecedented growth in AI development is colliding with emerging security threats and the ongoing challenge of maintainer burnout. The discovery that a simple command can turn any repo into a backdoor undetected by existing scanners (Venturebeat) underscores a critical gap in supply-chain security, especially as … Read more
AI Agents Go Mainstream with Open Standards This week’s digest highlights a clear shift: the open source community is doubling down on making AI agents practical. MCP (Model Context Protocol) from Meta is now giving Quest developers a standardized way to connect AI assistants to device logs, assets, and workflows. Meanwhile, Hugging Face’s free ‘Context … Read more
Video by OpenAI via YouTube
See how Codex helps sellers get ready for customer meetings faster.
Codex can bring context from Salesforce, Slack, Google Calendar, email, and docs into one clear thread. Sellers can ask questions, spot what changed, surface opportunities, and work across those apps without piecing everything together manually.
Learn more: https://chatgpt.com/codex/for-work/
Video by Hugging Face via YouTube
Introducing the context course: a free course on doing ML with agent context.
Sign up: https://hf-learn.short.gy/join-context-course
You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks.
The course includes:
– Weekly live AMA
– Practical projects for ML with context
– Instructions in Pi, Codex, Claude, and Opencode
– Tutorials and guides on fundamentals
– Interactive Quizzes
Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch.
Video by OpenCV via YouTube
Video by PyTorch via YouTube
The 2026 PyTorch Docathon will take place May 5 to May 19, a hackathon-style community event focused on improving PyTorch documentation.
Whether you’re new to open source or an experienced contributor, the Docathon offers opportunities to improve tutorials, guides, examples, and website content. Many issues are beginner-friendly, with tasks labeled by skill level and support available through the PyTorch Discord.
Contributors can make an immediate impact while learning more about PyTorch modules, tutorials, and workflows.
Schedule
May 5
Kickoff and Q&A, 10:00 AM PT
May 6 to May 15
Submissions and feedback
May 16 to May 18
Final reviews
May 20
Winner announcements
RSVP to receive updates, participation details, and event instructions.
Video by FOSSASIA via YouTube
Three years after launching the Electronic Frontier Foundation’s Tor University campaign, the movement has grown from 13 participating institutions to nearly 50 universities worldwide running Tor relays, including the first university relays in Korea and Taiwan.
In this talk, Roger Dingledine, Tor co-founder and original developer, shares the latest progress of the campaign and explains why universities are vital to strengthening the Tor privacy network. Learn how education, community engagement, and research are helping campuses support online privacy, censorship resistance, and a more secure internet.
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/e/88882f3e/session/10521
#FOSSASIA #FOSSASIASummit #opensource #FOSS #Cybersecurity&Privacy
Video by FINOS via YouTube
Andres Rojas (Director of Applied AI Projects at the Vector Institute) explores why the true "moat" in financial services is no longer the AI algorithm itself, but the shared foundations and high-quality data used to train it. He provides a roadmap for staying at the state-of-the-art in a world where AI research is accelerating by 30% year-over-year.
🇬🇧 Join us in London! Catch the latest on Applied AI at OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)
🕒 Timestamps:
0:00 Setting the Context: Research vs. Application
0:50 The Key Message: Shared Foundations in AI
1:15 Why Algorithms Aren’t IP: The Training Layer
1:45 Transformers and Model Weights
3:05 The Speed of Change: 100,000 Papers a Year
4:45 Proof: Collaboration Results with 200 Companies
5:55 Trust Through Community Validation
6:45 Closing Takeaways: Invest in Your Edge
📊 The Problem: The Myth of the Proprietary Model Many organizations believe their competitive advantage lies in protecting their specific machine learning algorithms as Intellectual Property (IP). However, in modern AI, the logic (like Transformers) is inherently open-source and shared globally; trying to keep these foundations secret only slows down exploration and increases the cost of staying relevant.
🏗️ The Solution: Focusing on the "Differentiating" Layers
Andres Rojas argues that the value shift in AI requires a new strategic focus:
* The Training Moat: IP is created only when open algorithms are trained on your specific, high-quality datasets to create calibrated weights.
* Accelerated Exploration: Collaborating at the foundational layer allows firms to digest the "firehose" of 2,000+ AI papers published monthly and move to production faster.
* Assurance Over Blind Trust: Open foundations allow for community-led validation, building the "Three Lines of Defense" for AI that proprietary "black boxes" cannot provide.
⚙️ Why This Matters for Financial Engineering
* Efficiency Through Sharing: Collective co-development has saved partners over 250,000 hours in development time by mutualizing infrastructure.
* Lead on Openness: Just as AI was launched in Canada, the local financial community can lead by building on verified, open foundations rather than general algorithmic secrets.
The takeaway: Invest your edge in data, domain expertise, and governance—not the algorithm. Andres Rojas proves that the fastest path to trustworthy AI is through shared foundations.
🌐 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
#FINOS #OSFFToronto #VectorInstitute #AIStrategy #DeepLearning #OpenSource #FinTech #AppliedAI
