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
Follow-up on rebooting to update, portable power stations, glass storage, and objective news sources. Plus whether to use one ZFS pool per vdev, or just one large pool.
https://2.5admins.com/2-5-admins-307/
Video by SAP via YouTube
See how SAP Logistics Management and Joule help logistics teams detect delivery risks, resolve warehouse bottlenecks, and keep fulfillment on track.
In this demo, demand for event kits spikes just days before SAP Sapphire, creating pressure on outbound packing capacity. A logistics clerk uses SAP Logistics Management to identify delivery risks in real time, then consults Joule to assess the backlog, prioritize urgent shipments, and recommend a mitigation plan.
With SAP Embodied AI running on SAP Business AI Platform, Joule triggers an SAP Embodied AI Agent that translates delivery requirements and warehouse context into robot tasks. Through Cyberwave, autonomous robots are dynamically reassigned to restore packing capacity, reduce backlog, and support on-time fulfillment during peak demand.
The result is a closed loop from risk detection to execution: faster response, stabilized throughput, and more resilient logistics operations.
Streamline logistics with SAP Logistics Management: https://sap.to/6054BEJLVC
Chapters:
00:00 – Delivery Risk During Peak Demand
00:38 – Joule Recommends a Mitigation Plan
01:05 – SAP Embodied AI Triggers Robot Tasks
01:41 – Partner-Enabled Robot Training
02:21 – Closed-Loop Logistics Execution
Follow us on social:
LinkedIn: https://sap.to/6058BEJLn8
Instagram: https://sap.to/6059BEJLnD
Facebook: https://sap.to/6051BEJLn1
Threads: https://sap.to/6053BEJLnH
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/6054BEJLny
#SAPBusinessAI #Joule #LogisticsManagement
Video by TWiT Tech Podcast Network via YouTube
We’re putting our remote streaming rig through its paces ahead of Black Hat USA 2026 — and doing it the TWiT way, with bagels in Leo’s kitchen. Tune in as we test gear, work out kinks, and see if we can toast a bagel and troubleshoot at the same time. No promises on either front.
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 Meta Developers via YouTube
Join us as we dive into Unity’s hands-first approach to XR development and show you how to build for it today. We’re welcoming Dilmer Valecillos @dilmerv, Developer Advocate at Meta, alongside Unity’s own Dave Ruddell, Alexandra Serralta, and Ketki Jadhav for a live technical deep dive into XR Hand Capture and XR Interaction Simulator.
#meta #unity #handtracking
Video by Rasa via YouTube
🤖 Everyone asks whether AI will replace researchers.
Aleks Bass sees a different future.
Instead of spending hours manually coding every interview and comment, AI can handle the repetitive work—giving researchers more time to validate insights, spot patterns, and ask better questions.
✨ More context.
📊 Better analysis.
🧠 Smarter decisions.
The future of research isn’t AI *instead* of humans.
It’s AI helping humans understand people better.
🎧 Watch the full conversation with Aleks Bass, CPTO of Typeform, on *The Dialogue Architects*.
#AI #CustomerResearch #QualitativeResearch #ProductManagement #Typeform
Video by The Linux Cast via YouTube
The LUG returns. If you want to join in – https://meet.thelinuxcast.org/lug
Insight: The Open Source AI Stack Matures This week’s digest highlights a significant shift: open source AI is moving from experimental to production-ready. From browser-based LLMs (WebLLM) to efficient PyTorch training techniques, the ecosystem is lowering barriers for developers. Meanwhile, platforms like OpenSearch and Kubernetes tools (Capsule) show that open source communities are solving real-world … Read more
Video by OpenAI via YouTube
More about our next generation voice model here: https://openai.com/index/introducing-gpt-live/
Video by PyTorch via YouTube
PyTorch 2.13 introduces updates across attention, compilation, distributed training, memory efficiency, Python support, and accelerator platforms. Highlights include FlexAttention support on Apple Silicon with up to approximately 12x speedup over SDPA on sparse patterns, the CuTeDSL "Native DSL" backend for key GPU operations, and nn.LinearCrossEntropyLoss to reduce peak GPU memory by up to 4x during large-vocabulary language model training.
On Wednesday, July 22, 2026, at 11 a.m. PT, PyTorch maintainers and contributors will provide a brief overview of the PyTorch 2.13 release and answer questions from the community live.
Topics will include:
– FlexAttention support on Apple Silicon and deterministic backward computation on CUDA
– The CuTeDSL "Native DSL" backend for Inductor
– nn.LinearCrossEntropyLoss for reducing peak GPU memory
– torchcomms for large-cluster training
– FSDP2 communication overlap improvements
– Torch wheel support for Python 3.15 on Linux, including free-threaded 3.15t builds
– Expanded ROCm, Arm, and Intel XPU platform support
The live Q&A will feature expert panelists Alban Desmaison, Andrey Talman, and Piotr Bialecki, with Chris Gottbrath moderating.
PyTorch 2.13 includes 3,328 commits from 526 contributors since PyTorch 2.12.
Register for the live Q&A today!
Video by NetApp Instaclustr via YouTube
Learn how OpenSearch’s knn_vector field type powers semantic search — and see it running live on an OpenSearch cluster, all in under 6 minutes.
In this video, Ramya breaks down what knn_vector is, the key parameters you need to know when configuring it, and walks through a complete working example on OpenSearch Dashboards. By the end, you’ll know how to create a vector index, index a document with an embedding, and run your first semantic search query.
▶️ Full blog article (deep dive): https://www.instaclustr.com/blog/understanding-opensearch-vector-field-types-part-1-knn-vector/
▶️ Try NetApp Instaclustr free trial: https://console2.instaclustr.com/signup
▶️ How to create an OpenSearch cluster on Instaclustr: https://www.youtube.com/watch?v=2RU-YqW5zsk
NEW TO OPENSEARCH?
If you’re new to OpenSearch itself, check out the other videos on this channel for the basics — they’ll give you a helpful foundation for what’s covered in this video.
