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The Steam Frame is finally here and it’s not quite as expensive as we feared. Graham was selected in the lottery but will he actually buy one? We finally talk about Omarchy, its huge fundraising effort, and why we are disappointed in companies who are contributing. Plus LibreOffice’s enviable download numbers. With guest hosts Andy from Linux Dev Time, and Shane from Hybrid Cloud Show.
See how Semos Cloud uses SAP Business Data Cloud and SAP Business AI Platform to help HR teams connect trusted people data with AI-powered employee experiences.
Semos Cloud delivers people and culture intelligence solutions across employee recognition, communications, feedback, surveys, engagement, rewards, and talent development. In this video, Semos Cloud shares why a strong data layer is critical for building intelligent applications and AI agents that can reason with accuracy, context, and trust.
With SAP Business Data Cloud, Semos Cloud can help customers access a single source of truth and prepare HR data for AI agents through SAP’s business data foundation and knowledge graph. What once required extensive manual data collection, aggregation, and integration can now be accelerated significantly, helping SAP customers and partners move faster with trusted data.
Semos Cloud also explains how SAP Business AI Platform has become a force multiplier for its development teams. Using capabilities such as Joule Studio CLI, A2A protocol, and SDK support, the company has built and delivered 26 domain-specific AI agents for employees, managers, key users, HR teams, finance teams, and more. These agents are designed to support real work across the enterprise, helping customers uncover insights, personalize experiences, and make faster workforce decisions.
Explore SAP Business Data Cloud:
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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/6055BGdjRd
MacBreak Weekly covers all things Apple: Leo, Andy Ihnatko, Jason Snell, and Christina Warren analyze every bit of news from the most interesting company in tech. From AI to Vision Pro, iPad to iPhone, these Apple experts know-all and tell-all.
You can find more about TWiT.tv and subscribe to our full shows at https://podcasts.twit.tv
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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.
We believe the future is for everyone, so we’re putting superintelligence in everyone’s hands. The Developer State of the Union is live: what’s shipping, what’s in preview, and what’s changing across our SDKs, APIs, and tooling. This is the surface you’ll build on. Plus where to start today.
During the livestream, you can experience the virtual content in a number of languages on Meta.com/connect
Following the livestream, you can watch our developer session content here (developers.meta.com/connect)
Development and Collaboration Social Coworking and Office Hours – Code Linting in R: Join the R community for a collaborative session on code linting, sharing best practices and tools to improve your R code quality. Voice control for your Ruby on Rails app: Learn how to integrate voice commands into your Rails application, making it … Read more
This Week in Open Source: A 25-Year Legacy, Smarter AI Agents, and the Fight for Code Freedom Open source is having a moment. Not just because another library hit version 1.0, but because the very foundations of how we build software—and now, how we build intelligence—are being rewritten in public. This week, we saw a … Read more
AI Meets Open Source Design: From Prototypes to Production In a striking demonstration of AI’s evolving capabilities, OpenAI’s GPT-6 Astra was tasked with designing a flight-control experience for a personal aircraft. Unlike previous models that generated superficial interfaces, Astra reasoned through audience needs, jobs to be done, and critical states, then connected to a real … Read more
John gave GPT-6 Astra a moonshot: design the flight-control experience for a new personal aircraft.
The gap between generating an interface and designing a system is massive, and AI models have always fallen short.
Until now.
Astra reasoned through the audience, jobs to be done, pilot-versus-passenger tradeoffs, and critical interface states. Then it connected that thinking to a real design system via the Figma MCP Server to create a polished, on-brand prototype of the concept.
RL post-training has become a critical stage in modern LLM development, but deploying an end-to-end pipeline requires much more than running individual kernels efficiently. Systems must coordinate distributed training, rollout generation, and continuous weight synchronization across multiple software stacks while maintaining correctness and performance.
Joy Song with AMD will present a poster at PyTorch Conference North America on enabling the open source vime RL post-training framework on AMD Instinct GPUs using ROCm.
vime pairs Megatron with vLLM for high throughput rollout generation, forming a tightly coupled loop where model weights are continuously synchronized between the two systems.
Joy will focus on the engineering challenges this brings up, including correctness issues that emerge only during integrated training and rollout execution and how systematic debugging can strengthen open source PyTorch infrastructure on AMD GPUs.
Register for PyTorchCon NA at: https://hubs.la/Q04v4SL60
Stop wasting time on bug severity triaging and start fixing the code.
Greg Kroah-Hartman explains why prioritizing minor issues is a distraction that often leads to chained public exploits. Learn why immediate upstream fixes are the only way to effectively clear years of technical debt and improve overall code quality.
Subscribe for more technical deep dives into software engineering best practices.
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