HM Godoy

Video by OpenProject | Open Source Project Management via YouTube

The EuroCommons TechSprint in Paris brought together organizations working toward a stronger, more sovereign European digital ecosystem.

It was a pleasure to connect with inspiring partners and communities, including Caisse des Dépôts, TOSIT, OW2, XWiki, and many others who share a joint vision:
reducing dependency on proprietary software and building trusted open source alternatives together.

In this video, hear from Hugues de Maussion, Aymeril Hoang, Gilles Viton, Simon Clavier, Florian Caringi, Pauline Bessoles, Rosanna Sibora and Wieland Lindenthal as they share why collaboration is essential to strengthening Europe’s digital sovereignty.

A special thank you to Dicle Naz Tohumcu for creating this video and to Christophe Bliard for helping make the EuroCommons TechSprint such a success.

EuroCommons is about more than technology. It’s about collaboration across organizations to create sustainable digital infrastructure that gives users control over their data, their tools, and their future. We’re excited to continue contributing to this growing ecosystem and helping build open, trusted digital infrastructure for Europe.

🎥 Watch Europe’s open source ecosystem come together.

#EuroCommons #OpenProject #XWiki #OpenSource #DigitalSovereignty #TOSIT #CaissedesDépôts

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Code: R0F2DWYDCUS2QLFS

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Video by Hugging Face via YouTube

Training Agents, Session 3: from a fine-tuned baseline to reinforcement learning with GRPO.

In this live session, we’ll move past imitation and start training on outcomes. We’ll take the model from the earlier sessions and run Group Relative Policy Optimization: sample multiple completions per prompt, score them with a reward function, and use the group’s relative scores as the training signal — no value model, no reward model, no critic to train. Everything runs in TRL.

What we’ll cover:
– Why GRPO after SFT, and what RL adds that imitation can’t
– How GRPO works: group sampling, relative advantages, and why that replaces a critic
– Writing verifiable reward functions for agent tasks
– Running TRL GRPO on Hugging Face Jobs
– Reading the training curves: reward, KL, and completion length
– Common failure modes: reward hacking, collapse, and length gaming

Repo: https://github.com/burtenshaw/training-agents

This is part of the Training Agents series: using coding agents to design, run, monitor, and review post-training experiments, while training models to become better agents.

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Video by NetApp Instaclustr via YouTube

Both Knn_vector and sparse_vector are powerful search tools, but when should you use them?

Learn more about knn_vector: https://youtu.be/lzygNYpVT-s

Learn more about sparse_vector: https://youtu.be/Y9kjOGqwNf8

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Video by FOSSASIA via YouTube

Looking to advance your career in Linux and open source? In this FOSSASIA Summit 2026 session, Kenji Ito, Communications Director at the Linux Professional Institute (LPI), explains how industry-recognized certifications can help validate your skills, boost your credibility, and unlock global career opportunities.

Discover how LPI certifications complement real-world experience, explore certification pathways for learners at every stage, and learn how earning the right credentials can help future-proof your career in today’s rapidly evolving tech industry.

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/7YB5E4KZV8FR/

#FOSSASIA #FOSSASIASummit #opensource #FOSS

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

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Video by FINOS via YouTube

Vanessa Yiu (Chief Technology Officer at Deutsche Bank) sits down with FINOS Executive Director Gabriele Columbro for the closing fireside chat at OSFF London. Together, they trace the evolution of banking technology from closed, competitive silos to shared industry utilities, explore how generative AI is reshaping engineering career paths, and break down emerging frontiers like enterprise tokenomics.

🗽 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 Welcome & Fireside Chat Intro
0:50 The Evolution of Collaboration: Transitioning from Closed Shop Banking to Shared Utilities
1:42 The Paradigm Shift: From Symphony to Open-Sourcing IP via Legend
2:50 Tackling Common Infrastructure: Cloud Controls, Supply Chain, and Special Interest Groups
3:30 The Next Frontier: Chaining Initiatives Together and Mission-Critical Table Stakes (OSERA)
4:42 The Non-Profit Product-Market Fit: Evolving from Code Hosting to Shared Problem-Solving
6:10 Why Engineering Communities Matter: Enterprise Technology as a Team Sport Beyond Corporate Firewalls
7:45 Career Development and Mentorship: The Growing Influence of Distinguished Engineer SIGs
8:58 Redefining Engineering Craftsmanship: Moving Past T-Shaped Careers in the Age of AI
10:48 Sustainable Open Source Careers: Recognizing Maintainers and Open Source Contributions in Promotions
12:55 Highlights from the Open Source AI Summit: Navigating Tokenomics and Financial Token Costs
15:20 Key Takeaways: Managing AI Dependency Chains and Evaluating Real Use-Case Value Metrics
17:45 Future Outlook: Developing Operational Muscle Memory Around Emerging Frontier AI Model Threats
19:35 The 12-to-18 Month Vision: Merging Strategic Venture Investments with Open-Core Foundations
20:55 Closing Remarks and Speaker Appreciation

📊 The Problem: The Inefficiency of the Traditional "Closed Shop" Bank

Historically, financial institutions operated as rigid closed shops, keeping all internal software development locked behind proprietary firewalls under the assumption that base infrastructure provided a competitive advantage. As technical stacks grew increasingly complex and AI adoption accelerated, banks realized that keeping common infrastructure proprietary created massive duplication of effort, hindered talent growth, and left individual firms struggling to respond to broad software supply-chain vulnerabilities.

🏗️ The Solution: Open-Core Industry Utilities and Shared Control Planes

Vanessa Yiu and Gabriele Columbro detail the maturation of open source in capital markets into a strategic utility model:

– The Paradigm Shift to Open IP: Evolving from initial communication utilities (Symphony) to directly open-sourcing core enterprise data models (Legend) and shared security standards.
– Mission-Critical Table Stakes: Mutualizing essential operational challenges—such as multi-cloud security frameworks (CCC) and automated dependency patching (OSERA)—to solve systemic industry risks collectively.
– Chaining Open Standards: Integrating separate open-source tools (CALM, Flux Nova, AIGF) into continuous, automated governance engines that provide verifiable compliance out-of-the-box.

⚙️ Why This Matters for Financial Engineering

– Redefining the AI Engineer: As synthetic code generation turns raw writing into a commodity, engineering value shifts toward higher-level system architecture, prompt harness design, and product craftsmanship.
– Emerging Enterprise Tokenomics: Developing institutional disciplines around token cost management, tracking consumption metrics across multi-agent AI deployments similarly to cloud FinOps practices.
– Recognizing Maintainer Career Paths: Validating active open-source maintainership as a primary metric for technical promotions to Distinguished Engineer and Fellow roles across tier-one banks.

🌐 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 #DeutscheBank #OpenSource #FinTech #EnterpriseArchitecture #Tokenomics #AIGovernance #EngineeringLeadership #DevOps

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Video by Open Data Science and AI Conference via YouTube

Programming computers has traditionally required people to adapt to machines. But what if machines could meet people halfway?

In this ODSC AI East 2026 session, Michael Littman, PhD, Professor at Brown University, explores how machine learning can make it easier for people to delegate complex information-processing tasks to computers. Drawing on his work in machine learning, decision-making under uncertainty, reinforcement learning, and AI education, Michael examines how systems can better infer human intent from different signals.

Watch to learn how advances in machine learning could make computational help more accessible, reduce the burden of traditional programming, and open new ways for people to solve difficult problems with AI.

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Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai

To watch more videos like this, visit https://aiplus.training

Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/

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Video by SAP via YouTube

We’ve all been there. 🫣 With Joule Work, teams can bring the right insights, data, and business context together faster, so teams can get things done faster.

That’s the power of AI that understands how your business works.

Explore SAP Business AI:
https://www.sap.com/products/artificial-intelligence.html

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Video by Michael Tunnell via YouTube

Ubuntu has warned that kernel 7.0.0-28.28 can severely slow specific AMD ROCm workloads, with one SDXL test showing a 42x regression.

Follow for more #Linux news

Full episode at https://thisweekinlinux.com/352

#opensource #podcast #technology

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