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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
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.
https://askthehosts.com/ath39/
Video by SAP via YouTube
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
• Explore SAP Community:
https://sap.to/6055CIrvT
• Learn more about SAP Cloud ERP:
https://sap.to/6056CIrvp
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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
#SAP #SAPCloudERP #S4HANACloud
Video by TWiT Tech Podcast Network via YouTube
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.
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 Linux Tex via YouTube
Get Theme Studio – Massive Introductory Discount
https://payhip.com/LinuxTex
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
Video by H2O.ai via YouTube
H2O.ai Managed Cloud is a fully managed, isolated AI environment where data preparation, model development, and deployment all run in one place.
This first lesson covers what the platform is and the problem it solves. Most teams are not short of ideas, they are slowed down by data living in one system, models being built in another, and deployment happening somewhere else.
You will also see the two principles behind the setup. Managed means H2O.ai runs the infrastructure for you, including GPU compute when the workload needs it. Isolated means your environment is dedicated, so data, compute, and workloads are never shared with another customer.
Covered in this video:
The three capabilities the platform brings together: automated machine learning, generative AI, and model operations
Why fragmented tooling causes delays, duplicated effort, and gaps in governance
Where H2O Driverless AI, H2O LLM Studio, and Enterprise h2oGPTe sit in the platform
What managed and isolated mean for security, privacy, and enterprise governance
LINKS
H2O.ai University: https://h2o.ai/university
Documentation: https://docs.h2o.ai
Request access or a demo: https://h2o.ai/demo
Support: support@h2o.ai
ABOUT H2O.ai
H2O.ai builds the platform enterprises use to develop, deploy, and operate AI on their own private data, across predictive machine learning and generative AI.
#H2Oai #EnterpriseAI #MLOps
Video by Hugging Face via YouTube
The Hugging Face research team discusses the paper "Weak-to-Strong Generalization via Direct On-Policy Distillation" which proposes a cheap way to transfer the benefits of reinforcement learning from small models to much larger ones. Instead of imitating the smaller model directly, it measures how RL changed the small model’s policy and uses that change as a dense reward signal to train the larger model. The result is a form of weak-to-strong generalization that can match or outperform direct RL on the larger model at a fraction of the compute cost.
Paper link: https://huggingface.co/papers/2607.05394
Video by OpenCV via YouTube
Air cargo still runs on estimates — dimensions eyeballed at acceptance, and containers packed by "feel." Suraj Nair, founder of Singapore-based Speedcargo, joins OpenCV Live to show how 3D computer vision, optimization algorithms, and gantry robotics replace that guesswork with measured cargo data. He’ll cover what it takes to get perception working reliably in a live cargo terminal, and where the industry’s automation efforts go next.
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.
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Thumbnail by Natalia de la Rosa natdlrs.com
Video by NetApp Instaclustr via YouTube
Take a closer look at CEP 49: Hardware Accelerated Compression.
Watch the full video for 5 CEPs to keep your eye on: https://youtu.be/M8igS11gTNI
Video by CNCF [Cloud Native Computing Foundation] via YouTube
Preferred Networks shares its AI accelerators instead of letting them sit idle. Aya Igarashi, Software Engineer at Preferred Networks, explained their hybrid approach at KubeCon + CloudNativeCon Japan.
#KubeCon #CloudNative
Video by FINOS via YouTube
Are your best AI engineers wasting time rebuilding the exact same compliance guardrails as every other bank? Greig Cowan, Head of AI and Data Science at NatWest, argues that financial institutions must mutualize their underlying AI governance layer through open source so they can focus on true customer-facing innovation.
🌐 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/podcastsLinkedIn:
https://www.linkedin.com/company/finosfoundation
#Fintech #Banking #AIOperations #FINOS #OpenSource
