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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
What to read into a study of long-term Backblaze hard drive failure data, why the difference between TB and TiB matters, and what to do about an overheating host bus adapter.
https://2.5admins.com/2-5-admins-315/
Video by SAP via YouTube
Discover how a leading elevator manufacturer unlocked innovation during-not after-their SAP transformation journey using SAP’s Transformation Lab Quick Start.
Join host Yannick from SAP Product Success with Alexandra Altermann from SAP and Jan Loehe from implementation partner proaxia as they explore how organizations can accelerate service innovation while already in the middle of a large ERP program. The elevator company featured here faced a complex, heavily modified ERP landscape, overloaded teams, and a deprioritized service business, yet still needed to standardize, modernize, and innovate. This Expert Talk shows exactly how they did it.
In this Expert Talk, you’ll:
✔️ Understand why innovation gets crowded out during complex ERP transformations-and how to prevent it.
✔️ Learn the key difference between a traditional proof of concept and a value prototype built on SAP standards.
✔️ Discover how the SAP Transformation Lab QuickStart delivers a hands-on, end-to-end service prototype in just 10–12 weeks.
✔️ See how omnichannel customer service, intelligent asset management, and field service excellence were modeled for a real industrial customer.
✔️ Explore how SAP Business AI and Joule support service dispatching, AI-assisted email drafting, and mobile technician workflows.
✔️ Hear the real business outcomes customers identify- from reducing technician search time and admin effort to uncovering top-line opportunities like higher contract renewal potential.
✔️ Find out why the best time to start a value prototype is before you think you need one.
Whether you’re mid-transformation on SAP S/4HANA, evaluating service management modernization, or looking to build faster stakeholder alignment before a major project commitment, this Expert Talk shows how a value prototype moves you from uncertainty to clarity- built on SAP standards, with zero guesswork.
Chapters:
00:13 – Welcome and Introduction
02:46 – Innovation challenges during ERP transformation
07:04 – Value prototype vs. traditional POC
13:44 – End-to-end architecture and live demo
20:43 – Business outcomes and value drivers
24:49 – Key takeaways and closing
Follow us on social:
LinkedIn: https://sap.to/6058B1hvcI
Instagram: https://sap.to/6050B1hvc0
Facebook: https://sap.to/6052B1hvc2
Threads: https://sap.to/6054B1hvc4
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/6056B1hvcA
#SAP #SAPBusinessAI #ERPTransformation
Video by TWiT Tech Podcast Network via YouTube
Industry expert Mikah Sargent, brings you interviews from tech journalists who make or break the top stories of the week. Get the freshest perspective and in depth insight into the fast-paced world of technology from Tech News Weekly.
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
Give your coding agent the manual instead of asking it to remember one. 📘
With the Immersive Web SDK, your agent can search your project’s source, documentation, and examples before writing, so ""make this grabbable"" uses the current component names instead of relying on a confident guess.
🔗 Start building with the Immersive Web SDK at the link in the comments.
#VR #MetaVR #XR #IWSDK #WebXR
Video by OpenProject | Open Source Project Management via YouTube
The release brings various features and improvements for you.
0:00 – Introduction
0:12 – AI assisted actions on work packages, comments, and relations with the MCP Server (Enterprise add-on)
0:49 – Multiple target versions
1:11 – Global limits and restrictions for time entries (Enterprise add-on)
1:32 – Backlog and sprints improvements
2:09 – Wiki improvements
2:27 – Released to Community: Display relations in work package tables
Find out more about all features and improvements in our release notes: https://www.openproject.org/docs/release-notes/17-8-0/
Video by Open Source Connect via YouTube
🔔 Follow our YouTube channel and don’t miss it!
Let’s learn, collaborate, and build together.
Video by Hugging Face via YouTube
Training Agents, Session 4: from reward functions to environments.
In this live session, the reward stops being a function and becomes a place the agent acts in. In Session 3 the model answered once and a Python function scored it. Today the model runs a loop: open a file, run a command, read the error, try again. The training signal comes from what happened after acting.
We’ll walk the reset()/step() contract from Gym to LLM agents, build an environment with OpenEnv, push it to the Hub, and plug it into TRL’s GRPOTrainer with environment_factory. Then we go one step further and train a real coding agent harness through Harbor via OpenEnv, with AsyncGRPOTrainer on Hugging Face sandboxes.
What we’ll cover:
– Why verifiers stop working once an agent takes many actions, and why the reward has to live where the actions happen
– The reset()/step() contract: from CartPole to a coding agent with a shell, files, and tests
Anatomy of an RL environment: task, tools, backend, reward, episode
– The ecosystem: OpenEnv, Verifiers, OpenReward, Harbor, and how OpenEnv imports the others
– Building and serving an env with the openenv CLI: init, push, pull, fork
– Training with TRL: environment_factory and get_reward, no reward_funcs
– Demo 1: Qwen3-1.7B on MBPP inside a live Python session, held-out pass rate 0.49 → 0.59
– Demo 2: a real coding agent (OpenCode) on DeepCoder problems in HF sandboxes, reward 0.27 → 0.71 in 10 steps
– Reward hacking moves into the env: the try/except that never failed, the CVE fix read from .git history, and how to lock the box down
Video by PyTorch via YouTube
PyTorch 2.14 introduces updates across compilation, distributed training, performance, dynamic shapes, Apple Silicon, and accelerator platforms. Highlights include NVGEMM, a CuTeDSL-generated GEMM backend for Inductor; the new nccl2 backend for PyTorch Distributed; fault-tolerant process-group reconfiguration in c10d; native linear algebra on Apple Silicon; and declarative dynamic shapes with @dynamic_spec.
Bring your questions about the release to our live Q&A. Andrey Talman (Meta), Natalia Gimelshein (Meta), Joe Spisak (Reflection AI), and Chris Gottbrath (Gottbrath Tech, moderator) will share an overview of PyTorch 2.14 and answer community questions about PyTorch and the new capabilities in the release.
Topics will include:
– NVGEMM and CuTeDSL-generated CUTLASS kernels in Inductor
– The new nccl2 backend for PyTorch Distributed
– Fault-tolerant collectives and process-group reconfiguration in c10d
– Native linear algebra and additional Metal kernel improvements on Apple Silicon
– torch.switch and CUDA graph capture for torch.while_loop
– Declarative dynamic shapes with @dynamic_spec
– Experimental torch.compile support for complex-valued tensors
– Expanded ROCm, Intel XPU, and NVIDIA platform support
PyTorch 2.14 includes 2,995 commits from 487 contributors since PyTorch 2.13. The release includes work across compilation, distributed communication, device support, and accelerator platforms. PyTorch Conference North America 2026 takes place October 20–21 in San Jose, with sessions spanning compiler and runtime work, distributed communication, device portability, release engineering, CI, observability, accelerator integration, contributor infrastructure, and more. Explore PyTorch Conference North America 2026.
Video by NetApp Instaclustr via YouTube
OpenSearch 3.7 allows KNN vectors to fetch from doc values vs. a full document decompression, meaning faster queries.
