Welcome to This Week’s Open Source Digest Stay informed with the latest developments in open source, from AI advancements to hardware innovations and community initiatives. Here’s what you need to know. AI and Security AI and Security: Projects Against the ‘Vulnocalypse’ – heise+ explores initiatives tackling the growing cybersecurity challenges posed by AI, highlighting open-source … Read more
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About FINOS
FINOS (The Fintech Open Source Foundation) unites the financial services industry to build open technologies and standards that enhance profitability, improve resilience, and accelerate innovation. We are the trusted community designed by regulated industry participants to solve industry-wide challenges and drive operational excellence and financial technology innovation.
As part of the Linux Foundation, FINOS provides a neutral, well-governed home for open source collaboration across the industry. With a global community of more than 100 member organizations – including major financial institutions, fintechs, and technology firms – FINOS advances open standards and production-grade open source for finance. This work embeds these technologies and standards into the core workflows, platforms, and policies of financial institutions, making them essential to how the industry builds, operates, and evolves. We do this with a clear focus on measurable ROI from open source adoption.
Video by Open Data Science and AI Conference via YouTube
What if AI had a language designed from the ground up for learning, reasoning, scalability, and transparency?
In this ODSC AI East 2026 keynote, Pedro Domingos, PhD, Professor Emeritus at the University of Washington and author of *The Master Algorithm*, introduces tensor logic, a new approach to unifying neural and symbolic AI.
Pedro explains why today’s AI tooling often falls short, from Python-based deep learning libraries that lack native support for reasoning to symbolic AI languages that struggle to scale. He then explores how tensor equations can serve as a common foundation for neural networks, formal reasoning, graphical models, transformers, and more.
Watch to learn how tensor logic could open new directions for AI, including sound reasoning in embedding space and more reliable, transparent, and scalable intelligent systems.
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Our favourite emoji, favourite vehicles, and whether we’d prefer to live in an icy or cold climate or an extremely hot one. With Félim, Gary, Jim, Allan, May, Shane from Hybrid Cloud Show, and special guest Shane from Linux Lads.
SAP S/4HANA Cloud Public Edition 2608 brings new Manufacturing innovations to help organizations streamline production planning, reduce manual effort, improve order visibility, and support more transparent manufacturing operations.
In this release highlights video, an AI avatar representing Markus Florian Oertelt, who prepared the content, guides you through the latest Manufacturing updates delivered with SAP S/4HANA Cloud Public Edition 2608. See how new capabilities for production planning, planned order management, and production order traceability can help production planners work more efficiently and respond to exceptions with greater confidence.
You’ll see how the new Production Planning and Operations Agent supports planners directly in the Manage Production Orders app. The agent checks release prerequisites, identifies unavailable BOM components, recommends alternative materials, detects capacity conflicts, and guides planners through exception handling. By automating checks and recommending next steps, the agent helps streamline the production order release process and reduce manual effort.
The video also introduces new capabilities in the Manage Planned Orders app. Planners can now check component availability directly in the app and convert or partially convert planned orders into production or process orders. Additional flexibility allows users to modify the order type, production version, and total quantity during conversion. The video also highlights the Check Component Availability API, which can be used to check component availability with a payload.
Finally, you’ll learn how Change Documents for Production Orders and Process Orders provide a chronological history of order changes. Planners can review affected fields, previous and new values, technical keys, and change details to better understand what changed, who made the change, and how order information has evolved over time. This added visibility supports collaboration, traceability, and compliance across manufacturing operations.
Highlights include:
🤖 Production Planning and Operations Agent — Check release prerequisites, identify missing BOM components, recommend alternative materials, detect capacity conflicts, and guide planners through exception handling in the Manage Production Orders app.
📋 Manage Planned Orders enhancements — Check component availability directly in the Manage Planned Orders app and convert or partially convert planned orders into production or process orders.
🔄 Flexible planned order conversion — Modify order type, production version, and total quantity during planned order conversion.
🔌 Check Component Availability API — Use the API with your payload to check component availability for planned orders.
📝 Change Documents for Production and Process Orders — Review a complete chronological history of production and process order changes, including affected fields, previous and new values, and change details.
Chapters:
00:00 – Welcome and introduction
00:36 – Production Planning and Operations Agent
02:09 – New capabilities in Manage Planned Orders
03:06 – Change Documents for Production and Process Orders
03:57 – Manufacturing 2608 highlights and closing
• Read Markus’s blog on Manufacturing release highlights in SAP S/4HANA Cloud Public Edition 2608:
https://sap.to/6054B13Zww
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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/6053B13Zwc
Windows Weekly is about more than Windows. Veteran Microsoft insiders Paul Thurrott and Richard Campbell join Leo for a deep dive into the most valuable company in the world. From consumer to enterprise, AI to Xbox, Windows Weekly is the only Microsoft podcast you’ll ever need.
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GCC just adopted a new AI contributions policy — and the internet is calling it an AI code ban. But the real story is way more interesting than the headline. In this video, we break down GCC’s new AI policy, why the 15-line rule matters for copyright, and what it means for the future of open source and the GPL.
GCC (the GNU Compiler Collection) will now decline legally significant contributions that include LLM-generated code, or code derived from it. We dig into why "legally significant" starts at around 15 lines, how the U.S. Copyright Office’s stance on AI-generated works exposes a real copyright hole in the GPL, and how GCC’s approach compares to LLVM’s human-in-the-loop policy and the Linux kernel’s disclosure-plus-liability model under Linus Torvalds.
We also cover the Assisted-by tag requirement, the Developer Certificate of Origin (DCO) sign-off rules, why AI is still allowed for research, debugging, and patch review, the Reddit and Hacker News community reaction, and why this policy is temporary with a review date set for 2027.
If you care about Linux, open source, the GPL, GNU, software licensing, or how AI is reshaping the future of software development, this is the video for you.
🔔 Subscribe for more deep dives into Linux, open source, and how AI is changing the software world.
Keywords: GCC AI ban, GCC AI policy, open source AI policy, GNU Compiler Collection AI, AI generated code copyright, GPL AI, copyleft AI, Linux Torvalds AI, LLVM AI policy, Linux kernel AI policy, AI code contributions, software copyright AI, is AI code copyrightable, open source vs AI
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