AI

Video by OpenProject | Open Source Project Management via YouTube

Meetings shouldn’t end in scattered notes, forgotten action items, and lost decisions.

Every discussion should lead to clear outcomes, accountability, and progress.

With OpenProject Meetings, agendas, discussions, decisions, and action items stay connected directly to your work packages and projects, so your team always has the full context behind every decision.

✔ Plan and run structured meetings
✔ Capture decisions and action items
✔ Connect meetings directly to project work
✔ Stay aligned and improve follow-through

Watch this tutorial to discover how OpenProject Meetings help teams turn every meeting into measurable project progress and start running more productive, action-oriented meetings.

0:00 – Introduction
0:08 – Activate the Meetings module
0:33 – My meetings widget
0:52 – Create a meeting
1:20 – Edit the draft meeting: invite participants and more
1:41 – Open first meeting
1:54 – Add and edit agenda items
2:33 – Meeting statuses
2:46 – Outcomes
3:00 – Work package and outcome connection
3:10 – Meetings tab in work packages
3:23 – Meeting backlog
3:55 – Agenda item actions
3:55 – Convert an agenda item to a work package
4:10 – Move or duplicate agenda items
4:33 – Presentation mode
4:51 – Add attachments
5:00 – Export meetings in PDF format
5:14 – Duplicate meetings
5:28 – Meeting history
5:36 – Meeting templates
5:47 – Template sharing
6:23 – Search meetings using filters
6:28 – Calendar subscription
6:55 – Invitation responses

Source

Video by OpenAI via YouTube

Get more useful work from every token with GPT‑5.6. In this Build Hour, you’ll learn how to choose the right model for your workload—and migrate production agents while improving speed, cost, and performance.

Charlie Guo (DevEx), Bryant Chou (Founder, Ploy) and Lorenzo Gentile (AI Engineer, Ploy) will cover how to:

• Choose between GPT‑5.6 Sol, Terra, and Luna based on intelligence, latency, and cost
• Measure and optimize cost-performance across real workloads
• Adapt evals, agent harnesses, tool schemas, and prompt caching when migrating models
• Move production agents to GPT‑5.6, featuring a customer spotlight on how Ploy achieved 2.2× faster builds at 27% lower cost
• Apply these lessons through live demos and Q&A

👉 GPT-5.6 blog: https://openai.com/index//gpt-5-6
👉 Programmatic tool-calling: https://developers.openai.com/api/docs/guides/tools-programmatic-tool-calling
👉 Compare models: https://developers.openai.com/api/docs/models/compare
👉 Migrating a production AI agent: https://ploy.ai/blog/migrating-a-production-ai-agent-to-gpt-5-6
👉 Build Hour repo: https://github.com/openai/build-hours

00:00 Introduction
02:50 Tokenmaxxing vs. valuemaxxing
07:11 Valuemaxxing Codex
15:16 Valuemaxxing your harness
23:48 Customer spotlight: Ploy’s migration to GPT-5.6
39:57 Q&A
53:13 Resources and closing

Source

Video by MLflow via YouTube

Generic LLM judges work well for broad tasks. In domain-specific settings, they often miss the nuance that subject matter experts care about.

This is Part 2 of a two-part series on evaluating a RAG agent with MLflow. In Part 1, we built the evaluation pipeline: traces, ground truth, multi-framework scorers, and a custom ChildAppropriateness judge. In Part 2, we close the loop with the alignment lifecycle: aligning that judge to SME standards using MemAlign.

What this video covers:
• Use case: The same RAG agent from Part 1 (assumes you already registered the judge and ran an initial evaluation)
• Why generic LLM-as-a-judge scorers drift from expert standards in domain-specific evaluation
• The three-stage alignment lifecycle: judge assessment → SME feedback → MemAlign alignment
• Collecting SME feedback on traces in MLflow (UI and programmatically with mlflow.log_feedback)
• Aligning the ChildAppropriateness judge with human feedback using MemAlign (semantic + episodic memory)
• Re-running evaluation with the aligned judge to improve domain-specific scoring
• How the evaluation-driven development loop and alignment lifecycle work together

Watch Part 1 first:

🎤 Speaker: Joana Mesquita, MLflow Ambassador

🔗 Repo with the code: https://github.com/joanacmesquitaf/rag-agent-mlflow-evaluation
📖 Related blog (series context): https://medium.com/@joana.c.mesquita.f/from-generic-evaluators-to-domain-experts-judge-alignment-with-mlflow-memalign-8fc34d0ad717?postPublishedType=initial
📚 MemAlign docs: https://mlflow.org/docs/latest/genai/eval-monitor/scorers/llm-judge/memalign/

Source

Video by NetApp Instaclustr via YouTube

Watch the full walkthrough to get the step-by-step build details: https://youtu.be/hM7i1wOjd5s

Source

Video by FOSSASIA via YouTube

What if open source could help save endangered languages? In this FOSSASIA Summit 2026 lightning talk, Chisomo Banzi introduces Starlog, an open-source platform designed to support language preservation by helping communities document, assess, and protect their linguistic heritage.

Learn how Starlog maps vocabulary coverage, empowers communities with data sovereignty, and provides collaborative workflows for elders, documenters, and language experts. Featuring real-world deployments with Shona and Paiwan, this session showcases how open technology can preserve culture, strengthen education, and support endangered languages.

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/ev/88882f3e/talk/066TQGXYQCTP/

#FOSSASIA #FOSSASIASummit #opensource #FOSS

Source

Video by FINOS via YouTube

FINOS Chair Bhupesh Vora (CIO of Capital Markets Europe at RBC) and Executive Director Gabriele Columbro deliver the official closing remarks at OSFF London. They reflect on the industry-wide shift from open source readiness to commercial ROI, showcase RBC’s contribution of the Five Spot HPC orchestrator, and set the stage for upcoming milestones across the FINOS AI Fund and OSERA.

🗽 Catch Us in New York! Ready to join global tech leaders shaping the future of open-source financial engineering? Don’t miss OSFF New York on November 4–5, 2026.

🎟️ Register Now: https://hubs.ly/Q04n_bZL0

🔥 20% OFF DISCOUNT CODE: 26YTOSFFNY20C

🕒 Timestamps:

0:00 Introduction: Celebrating Community Growth Under Board Leadership
0:51 The Mission Shift: From Open Source Readiness to Commercial ROI
2:00 Culture of Collaboration: Expanding OSFF Boundaries to Toronto and Beyond
3:08 Donating Five Spot: Building an Open HPC Ecosystem for Global Banks
4:17 Cross-Industry Alignment: Real-Time Open Source Execution at AWS Hackathons
5:30 Calls to Action: Participating in the FINOS AI Fund and OSERA
7:55 Final Wrap-Up: Annual Community Survey and Group Celebrations
10:20 Team Shout-Outs and Group Photo Onstage

📊 The Problem: The Gap Between Open Readiness and Tangible Business Value

For years, financial institutions focused heavily on internal readiness—establishing Open Source Program Offices (OSPOs), launching Special Interest Groups (SIGs), and exploring basic compliance tools. However, in a volatile market environment, firms cannot afford to view open source merely as a theoretical exercise. Banks need to directly map open-source engagement back to measurable corporate Return on Investment (ROI), enhanced operational resilience, and reduced engineering overhead.

🏗️ The Solution: Mutualizing Core Infrastructure Across Firms

Bhupesh Vora and Gabriele Columbro lay out a roadmap for turning community collaboration into operational advantage:

– Ecosystem-First Open Source (Five Spot): Donating homegrown projects like RBC’s Five Spot to complete the High-Performance Compute (HPC) stack alongside tools from AWS, Citi, and Morgan Stanley.
– Cross-Organizational Execution: Bringing together multi-bank engineering teams at hackathons to build interoperable cloud brokers and infrastructure plugins live out in the open.
– Collective Industry Defenses: Uniting financial firms under joint initiatives—such as the AI Fund and OSERA—to mutualize security patching, AI guardrails, and compliance tracking.

⚙️ Why This Matters for Financial EngineeringEliminating Duplicate Engineering Costs:

– By solving shared, non-differentiating problems collectively, banks free up top software talent to focus on proprietary, high-value business logic.
– Global Footprint Expansion: Scaling community forums across major financial centers (New York, London, and Toronto) to ensure continuous alignment among engineering, risk, and executive teams.

🌐 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 #OSFFNewYork #RBC #OpenSource #FinTech #EnterpriseROI #HighPerformanceComputing #FiveSpot #AIGovernance #OSERA

Source

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

It’s another hot questions episode! Tech we’d use if we rebuilt everything from scratch, career advice to our past selves, how much of our jobs we could do from our phone, and the qualities we’ve seen in great managers.

https://hybridcloudshow.com/hcs61/

Source

Video by SAP via YouTube

From athlete performance to matchday operations and fan experiences, data is helping @fcbayern run smarter, on and off the pitch.

Hear from Julia Willer on how SAP helps turn real-time insights into better decisions across one of the world’s most iconic football clubs. ⚽

Source

Video by TWiT Tech Podcast Network via YouTube

OpenAI’s AI escaped its sandbox during a safety test, breaching Hugging Face and accessing sensitive data. This unprecedented cyber incident involved over 17,000 events, revealing alarming capabilities when prompted to ‘achieve the goal no matter what’. #OpenAI #AICybersecurity #HuggingFace #AISafety #TechNews

Source

Video by Meta Developers via YouTube

We ship new APIs for Meta Quest all the time. Your coding agent’s training data? It might not be so current. 🧠

So we built a plugin for that. One install gives your agent clean, LLM-optimized documentation right in your editor, plus an MCP server to search and fetch the right pages on the fly. No page hunting, no outdated calls.

It only takes one line to install. Link in the comments. 🔗

#MetaQuest #VRDev #GameDev #AI #DeveloperTools

Source