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Video by Meta Developers via YouTube
See what happens when AI plugs into your Meta Quest development workflow ⬆️
This is MCP (Model Context Protocol).
It’s the open standard that connects your favorite AI assistants like Claude and Cursor to device logs, performance traces, documentation, 3D assets, and more. Your AI picks the right tool and pulls the data. 💫
🔗 Tap the link in the comments to get started with MCP
#VR #AI #Developer #VRDev #GameDev
Video by The Linux Foundation via YouTube
Sponsored by Harness
AI has supercharged coding speed, but it has exposed critical weaknesses in the downstream delivery pipeline. The Harness State of DevOps Modernization 2026 report shows that, while AI-assisted developers are shipping code 45% faster, 69% of frequent AI users report more frequent deployment problems, and average incident recovery times have climbed to 7.6 hours. This is the "Velocity Paradox.”
The culprit? A fragmented pipeline where application code moves at machine speed, while database schemas and infrastructure remain trapped in manual, siloed workflows. To survive the AI era, organizations must move toward a unified pipeline that treats the database as a first-class citizen of Continuous Delivery.
In this session, we’ll discuss how to:
– Standardize Across Environments: Deploy application and database changes consistently from dev to staging to production, with the visibility and governance required to scale safely.
– Scale with Agentic Workflows: Move beyond basic scripts. Use AI-driven agents to safely author schema migrations and automate the complex troubleshooting that currently inflates MTTR.
– Implement "Golden Paths" for Data: Enable developer self-service while enforcing rigid security and compliance using OPA (Open Policy Agent) "baked into" the pipeline.
– Bridge the Trust Gap: Learn how to apply "trust but verify" guardrails to AI-generated code and database changes to reduce the 51% increase in code quality issues seen by high-velocity teams.
Video by The Linux Cast via YouTube
The guys are back, this time to talk about their most controversial opinions. We’re right, you’re wrong!
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#Credits
Logo courtesy of pedropaulo.net
Intro courtesy of https://www.fragcgi.com/?i=1
[show notes]
https://git.thelinuxcast.org/notes/s10/1013.md
Just a reminder that the live stream will go unlisted directly after the stream. The edited version will be posted on Saturday night. Live stream replays can be had by joining us on Patreon: https://patreon.com/thelinuxcast
Video by H2O.ai via YouTube
How h2oGPTe grounds LLMs in enterprise data using multimodal RAG, hybrid search, and autonomous agent workflows.
LLMs don’t inherently know your internal products, policies, or customer history. h2oGPTe bridges this gap by ingesting 50+ file formats—including documents, audio, and video—using multi-engine OCR and native enterprise connectors for SharePoint, S3, and Azure. Hybrid retrieval combines semantic similarity and BM25 with Reciprocal Rank Fusion and cross-encoder reranking for precise, citation-backed answers. Agentic workflows extend RAG further by enabling autonomous retrieval, reasoning, and tool execution.
Technical Capabilities & Resources
➤ Document Ingestion & Transformation: 50+ format support with multi-engine OCR, table preservation, and enterprise connectors.
🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/collections/supported-file-types
➤ Built-in & External Vector Storage: Includes Vex embedded vector database plus integrations with external vector providers.
🔗 https://docs.h2o.ai/enterprise-h2ogpte/architecture/vector-database
➤ Advanced Hybrid Search: Combines semantic similarity, BM25, Reciprocal Rank Fusion, and cross-encoder reranking.
🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/chats/chat-settings#generation-approach
➤ Agentic Workflows: Autonomous agents that iteratively retrieve, reason, and trigger tool execution for complex queries.
🔗 https://docs.h2o.ai/enterprise-h2ogpte/guide/agents
Video by FOSSASIA via YouTube
Logical replication in PostgreSQL powers migrations, upgrades, CDC pipelines, and active/active architectures—but at its core, it is a flexible mechanism for transporting ordered data changes.
This talk explores major PostgreSQL 18 improvements to logical replication conflict handling, including explicit conflict detection, classification, and observability. Through live demos, see how conflicts that were once silent or vague apply failures are now visible, structured, and measurable.
Learn why PostgreSQL intentionally avoids built-in conflict resolution, allowing higher-level tools to implement safe and predictable behavior for blue/green deployments, migrations, and multi-active systems. We’ll also look ahead at the future of PostgreSQL logical replication and conflict management.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Session slides: https://eventyay.com/e/88882f3e/session/10491
#FOSSASIA #FOSSASIASummit #opensource #FOSS
Video by FINOS via YouTube
Vincent Caldeira (Field CTO at Red Hat) explores the urgent need for Sovereign AI in financial services. He explains how open source provides the only viable path to independent control over infrastructure, data, and models, ensuring banks don’t just "rent opaque intelligence".
🇬🇧 Join us in London! Catch the latest on Sovereign AI and Open Source at OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)
🕒 Timestamps:
0:00 Welcome: Why Sovereign AI Matters in Canada
0:45 The Tipping Point: Board Interest vs. Regulatory Scrutiny
1:15 Defining Sovereign AI in Finance
1:45 Operational Resilience and Data Exposure
2:15 Concentration Risk: The Danger of Single-Vendor Dependency
2:45 Explainability and OSFI Guidelines
3:15 Open Source as the Answer: The Platform Layer
4:15 The Rise of Open Models vs. Frontier Models
5:00 Governance as Proof: The AI Governance Framework
5:30 Three Takeaways: Platform, Supply Chain, and Industry Standards
📊 The Problem: Renting "Opaque Intelligence" When financial institutions rely on closed, proprietary AI vendors, they surrender control over their entire AI stack. This creates significant banking risks: Operational Resilience due to data exposure , Concentration Risk through single-vendor dependency , and Model Risk where decisions cannot be explained to regulators.
🏗️ The Solution: The Sovereign AI Stack
Vincent proposes a three-layer approach to achieving independent control using open technology:
* Open Platform Foundation: Building AI-as-a-Service using open technologies like Kubernetes and vLLM to run independently of specific infrastructure.
* Model Parity: Leveraging open models that have caught up to proprietary ones, allowing banks to tune them with private data within their own firewalls.
* Machine-Readable Governance: Using the FINOS AI Governance Framework to demonstrate control through automated, auditable policies.
⚙️ Why This Matters for Financial Engineering
* Supply Chain Transparency: Understanding where data comes from and how models are trained to mitigate systemic risks.
* Regulatory Proof: Building a governance framework that is truly in line with industry needs and provides "evidence" of compliance.
The takeaway: You must have independent control over your infrastructure, data, and models to truly own your AI future. Vincent Caldeira proves that open source is the essential foundation for Sovereign AI in finance.
🌐 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/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation
#FINOS #OSFFToronto #RedHat #SovereignAI #OpenSource #FinTech #BankingInnovation #AIGovernance #DigitalTransformation
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
There’s a new Ubuntu LTS release and quite a lot is new, Canonical’s infrastructure was taken down and we disagree about whether it could have been avoided, two recent examples of irresponsible vulnerability disclosure, and the Steam controller finally arrives with a hefty price tag.
https://latenightlinux.com/late-night-linux-episode-384/
Video by Michael Tunnell via YouTube
Ubuntu 26.04 is one of those LTS releases where the small details say a lot about where Linux desktop is going.
Follow for more #Linux and #tech #news
Full episode at https://thisweekinlinux.com/343
#podcast #technology #opensource
Video by TWiT Tech Podcast Network via YouTube
AirPods Pro offer seamless Apple device switching and excellent noise cancellation. Even with previous versions working fine, the latest generation is a must-have for the ultimate audio experience. #AirPodsPro #Apple #TechReview #Accessory
Video by Rasa via YouTube
We’ve never had this level of user context before.
Soon, brands will be able to personalize every interaction in real time by injecting the right data at the right moment into AI systems.
This is what the future of customer experience looks like:
context-aware, dynamic, LLM-driven interactions.
Insights from Etie Hertz (GM of Conversational Intelligence @Contentsquare)
#conversationalai #LLM #customerexperience #personalization #AI
