ChatGPT Work is rolling out to Enterprise plans—available wherever you use ChatGPT: chatgpt.com, desktop, and mobile.
The teams already using it say it best. People at Zapier, Shopify, Virgin Atlantic, and more share how ChatGPT Work is helping them move faster and expand what their teams can accomplish.
Watch their stories and learn more: https://lnkd.in/gVbXg8sk
As open-source communities continue to grow, the biggest challenge is no longer attracting contributions—it’s coordinating them effectively. In this FOSSASIA Summit 2026 session, Ranida Nuangjhamnong explores how collaboration, shared context, and alignment shape the success of open innovation.
Discover why coordination has become the new bottleneck, how ideas evolve within open ecosystems, and what enables communities to scale innovation while preserving diversity. This session offers fresh insights into building stronger collaboration in open-source projects and AI-driven organizations.
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
FINOS Executive Director Gabriele Columbro kicks off the OSFF keynotes alongside Matt Bain (Lead Maintainer for CALM at Morgan Stanley) and Kris West (Maintainer for FDC3). Together, they outline the shift from vision to active architecture, revealing major updates including the FDC3 3.0 security release, the agentic CALM Suite, and GitProxy 2.0.
🗽 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 Executive Summary: Acceleration and Momentum Shift in Open Source
1:51 Moving from Vision to Reality: Visualizing the Open Core Stack
3:35 Mission & Industry Impact: ROI Across Profitability and Resilience
4:40 Annual Survey Announcement & Technical Oversight Committee Life Cycle
6:45 CALM Growth Story: Hitting Top 10% Commit Activity Worldwide
8:25 CALM Suite Contributed: Calm Guard, Calm Studio, and Agentic Capabilities
9:35 Industry Vendor Ecosystem: Moderne LST Integration & ArchRails PR Gates
10:40 What’s Next for CALM: Production CALM Hub and Desktop Editor 11:50 Community Call to Action: Building in the Open from Day One
13:00 FDC3 3.0 Security Delivered: End-to-End Cryptography and Portable Identities
14:00 Provable Data Access: Cryptographic Audit Trails for Regulated Firms
14:35 FDC3 3.0 Alpha Release & Production Readiness for FDC3 Sail
15:50 Quick Hits: GitProxy 2.0 Release and Relaunching the InnerSource Working Group
📊 The Problem: The Velocity Bottleneck in Regulated Finance
Historically, open source in banking moved at a sluggish pace, constrained by complex legal approvals, static PDF architectural diagrams, and fragmented vendor environments. Architecture reviews often took months while systems drifted out of alignment, and desktop application context was exchanged over unencrypted, untrusted channels that created massive audit and compliance vulnerabilities.
🏗️ The Solution: Machine-Readable Standards & Cryptographic Workspaces
FINOS projects are converging to deliver an end-to-end, governable open-core stack:
– CALM (Common Architecture Language Model): Moving architecture from static whiteboards to JSON specifications, allowing CI/CD pipelines to validate pull requests against approved design patterns automatically.
– FDC3 3.0 Security Framework: Upgrading desktop interoperability with signed context, encrypted channels, and end-to-end cryptography, treating desktop agents as interchangeable, untrusted intermediaries.
– Provable Data Access: Enabling applications to cryptographically prove exact authorization and data access histories for financial regulators.
⚙️ Why This Matters for Financial Engineering
– Agentic-Ready Codebases: CALM introduces monorepo schema structures decorated with risk-and-mitigation metadata, allowing AI agents to navigate codebases and lower token consumption.
– Production-Grade Desktop Interop: FDC3 Sail reaches version 3.0 production status, giving banks an out-of-the-box open-source desktop container.
– Enterprise Contribution Guardrails: Upgrading GitProxy to 2.0 to automate legal and security checks for developers contributing upstream.
🌐 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
Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux
A new HTTP caching standard looks promising but might struggle to get adopted, a terrible space mirror idea is actually happening, cars will spy on us all, and picking a VPN for use with an IP that doesn’t change very often.
Go beyond basic math! Discover your device’s built-in calculator, featuring over 110 unit conversions (temp, volume, energy, and more!) and 105 currency options. Effortless conversions, no manual input needed. #CalculatorTips #TechHacks #Productivity #LifeHacks
Brian Alvey, CTO of WordPress VIP, believes the next breakthrough in AI won’t be answering more questions—it’s understanding your context.
Instead of simply telling you the weather, imagine an AI that knows where you’re headed, predicts what you’ll need, and helps you make better decisions before you even ask.
🌤️ "It’s 80° here…"
❄️ "…but you’re driving into San Francisco, where it’s 25 degrees colder. Grab a jacket."
That’s the kind of AI people will actually pay for.
The future of enterprise AI isn’t just better models—it’s more personalized, context-aware experiences.
🎧 Watch the full conversation with Lauren Goerz and Brian Alvey on *The Dialogue Architects*.
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.
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
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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