This clip from SUDO Show 76 dives into the secret world of security embargoes through the real‑time chaos around the Dirty Frag Linux vulnerability. Neal explains how coordinated disclosure is supposed to work, what an embargo actually means, and how a broken embargo plus a live proof‑of‑concept exploit can force distributions into a frantic, all‑hands‑on‑deck patch sprint.
Video by Open Data Science and AI Conference via YouTube
Google Cloud’s Dr. Ali Arsanjani explains that a meta-agent at level 5 acts as a governance mechanism, overseeing policy control, real-time planning adjustments, and resolving conflicts between agents.
Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0
#DataScience #AI #ArtificialIntelligence #ODSCAI
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It’s a Linux Dev Time style hot questions episode. Is "cloud native" more about where the workload is going or how you deploy it? What is a skill that is really important in your job that may surprise people? Is the cloud more or less secure than a company-controlled data centre or on-prem? Would you recommend what you do to your kids/nephews etc?
New month, new capabilities. Get a quick tour of the May 2026 feature highlights across SAP Datasphere, SAP Business Data Cloud, and SAP Analytics Cloud.
In this update, Klaus-Peter Sauer covers what shipped in May, including two strong releases packed with enhancements for data integration, modeling, transport, runtime analysis, and analytics. You’ll also see how SAP Business Data Cloud continues to expand its open partner ecosystem with SAP Snowflake and BDC Connect for Snowflake.
You will see what is new in:
✅ SAP Snowflake and BDC Connect for Snowflake: SAP Snowflake is now generally available as a solution extension for SAP Business Data Cloud, bringing Snowflake AI/ML and advanced engineering capabilities to semantically rich, business-ready SAP data. BDC Connect for Snowflake now supports bidirectional data sharing on AWS with zero copies and preserved business context.
✅ Scheduled delta loads for replication flows: Schedule replication flows that use delta-enabled objects or include them in task chains, so all available delta records are processed and completed cleanly after each run.
✅ Bulk assignment of schedule owners: Assign a schedule owner to multiple task chains at once, reducing repetitive admin work in larger environments.
✅ Lineage graph analysis with runtime metrics: Analyze the full lineage graph of a view, including underlying source objects, to find performance bottlenecks faster.
✅ Transport runtime settings for flows and views: Export runtime settings for transformation flows and view persistency as part of transport packages for more consistent deployment across dev, test, and production.
✅ Variables in analytic models: Customize variables when using one analytic model as the source for another, including renaming variables, changing defaults, and using them in restricted measures or calculations.
✅ SAP Analytics Cloud Q2 2026 highlights: Get a quick pointer to the top five Q2 features, including asymmetric reporting, composite versioning, job monitor enhancements, the decoupled data panel, and recent and favorites in open and save dialogs.
Chapters:
00:00 – Intro
00:29 – SAP Snowflake and BDC Connect for Snowflake
01:24 – Run Replication Flows with Delta Load at Scheduled Times
01:55 – Bulk Assignment of Schedule Owner for Task Chains
02:25 – Analyze the Lineage Graph of a View with Runtime Metrics
02:58 – Transport Runtime Settings for Flows and Views
03:54 – Variables in Analytic Models
04:36 – SAP Analytics Cloud Q2 2026 Top 5 Features
05:21 – Summary and Outro
Learn more about SAP Datasphere: https://www.sap.com/products/technology-platform/datasphere.html
Join our SAP Datasphere community to stay up to date: https://community.sap.com/topics/datasphere
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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://www.sap.com/index.html
Did Blue Origin’s New Glenn rocket just blow their moon dreams? See what went wrong, how bad the damage is, and what it means for NASA contracts—straight from This Week in Space. http://twit.tv/twis/212 #BlueOrigin #NewGlenn #RocketExplosion #NASA
Have you ever wondered how one of the world’s biggest animation studios powers its massive creative pipeline? In this exclusive interview, I sit down with Randy Packer from DreamWorks Animation, to go behind the scenes of their legendary workflow. Randy shares his insights into how they use Linux, Open Source tools, and what it’s like working on blockbuster franchises and much more.
Support the channel by becoming a patron at https://tuxdigital.com/membership or get some swag at https://store.tuxdigital.com/
### SHOW NOTES ►► https://tuxdigital.com/videos/how-dreamworks-uses-linux-open-source-to-create-blockbuster-movies/
### Chapters:
00:00 Intro
01:04 Interview with Randy Packer
01:33 What is MoonRay?
02:41 Why did DreamWorks decide to Open Source MoonRay?
04:44 How Open Source is it? Can people contribute to the project?
05:25 What is the Arras system?
06:49 How much does DreamWorks utilize Open Source?
08:00 What operating system does DreamWorks use for rednering?
08:55 How long does it take to make a DreamWorks movie?
09:23 What is the most time intensive part of the movie making process?
10:25 How often do you make new tech for the movies?
11:06 Is the tech involved in deciding the style of a movie?
12:19 Storyboarding vs PreViz
13:31 How many are involved in making a DreamWorks film?
15:24 How do you balance the speed of Software Development with speed of Film Production?
18:09 Day in the Life of a Senior Manager at DreamWorks
20:53 What is your favorite part about working at DreamWorks?
22:42 Favorite part about the Ubuntu Summit?
24:46 Do you use Linux personally? If so, which distro?
25:55 What was your first experience with Linux?
26:24 I share a story about my early days in Linux
27:07 Have you been known to distrohop?
27:29 Does DreamWorks use Linux?
27:53 Star Wars vs Star Trek?
30:25 Marvel vs DC?
30:59 Any last comments before we wrap?
32:06 Wrap up
32:15 Outro
There’s a new, faster way to go from ""something’s broken"" to ""here’s exactly what’s wrong.""
Horizon Debug Bridge (hzdb) connects your favorite AI coding assistant to 40+ Meta Quest development tools so you can find and fix bottlenecks, bugs, and crashes faster.
Observability has become a critical dependency for modern cloud and AI infrastructure, yet fragmentation across tools and vendors has left engineering teams stitching together incomplete pictures. As AI agents and GPU-native clouds introduce new instrumentation demands, the cost of gaps in telemetry data is rising fast.
In this exclusive interview with Swapnil Bhartiya at TFiR, Chris Aniszczyk, CTO at CNCF, breaks down the graduation of OpenTelemetry and what it means for every engineering team building on cloud native and AI infrastructure. From the early brokered meeting that merged OpenTracing and OpenCensus into a single standard, to the emerging work on agent tracing and GPU-first cloud observability, Aniszczyk explains why OTel is now the Kubernetes of the observability world.
Key Topics Covered:
– Why OpenTelemetry graduation signals long-term sustainability and vendor-neutral governance, not just adoption
– How OTel’s four pillars, metrics, logs, traces, and profiling, map to AI and agentic workload requirements
– Emerging specifications including LLM observability extensions and Open Inference for inference-based workloads
– Why neo-clouds and GPU-first providers such as CoreWeave and Lambda need a step change in observability maturity
– How OTel enables vendor optionality across Datadog, Grafana, Honeycomb, and hyperscaler-native tooling
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