🌍 GOSIM Paris 2026: The Global Open-Source Tech Wave
What an incredible energy at Station F, Paris! 🇨🇳🇫🇷GOSIM 2026 just wrapped up, bringing together the absolute brightest minds in the open-source and AI ecosystem.
Here’s a quick recap of the massive impact:
✨ 1,300+ Open-source AI Experts & Innovators
🎤 150+ Top AI Experts Worldwide in deep-dive dialogues (including Fields Medalist Sir Timothy Gowers, Gaël Varoquaux, and more!)
🔥 5 Thematic Forums spanning Agentic AI, Open Source Models, and Robotics
🛠️ 6 Cutting-Edge Workshops & 2 High-Intensity Hackathons
Open source knows no borders, and we are actively defining the future together!
👉 Next Stop: GOSIM SHENZHEN 2026 (Oct. 2026)🇨🇳
Want to be part of the next big wave? Reach out to 📧 [email protected]
#GOSIM2026 #GOSIMParis #OpenSource #AgenticAI #AI #Robotics #TechCommunity #StationF #GOSIMShenzhen
A post takes me back to my early days in the Apache world, when my mentor’s very first piece of advice was, “All important discussions happen on the mailing list.” At the time I privately thought it felt a bit dated — it was only later that I came to appreciate the design wisdom behind it.
Over the years I’ve watched quite a few project teams move their discussions into Slack, Discord, or enterprise messaging platforms. It feels lively at first, but once key people leave or team structures shift, large amounts of context simply evaporate. By contrast, the projects that stuck with mailing lists allow you to go back five, even eight years later and still trace exactly how a decision moved from disagreement to rough consensus. That kind of depth in time is something instant messaging can never provide.
What moves me isn’t really the mailing list itself, but the point the post brings out — that it was “intentionally shaped to reduce structural barriers to participation.” As someone who often can only open the laptop and reply to threads after getting the kids to sleep, I know all too well that without a thoroughly asynchronous, open mechanism that isn’t tied to any single organisation’s account system, people like us who have to squeeze contributions into the cracks of life would have been excluded from decision-making long ago. This isn’t just a technical choice; it reflects a deep understanding of equitable participation.
The changes AI is bringing feel significant too. Using tools to semantically search and summarise years of Apache mailing list archives delivers a level of efficiency I could hardly have imagined in earlier days. But the precondition for all of that is precisely the publicly archived, meticulously preserved record that was never locked into any one company’s platform. When the data is open, the discussion can truly be open. I’m really grateful that in an era where everything prizes “fast,” the ASF continues to hold onto this infrastructure principle — one that may look clumsy on the surface but is, in reality, deeply far-sighted.
🔥 The heat is ON at #GOSIMParis — the AI Vision Forum is hitting a peak right now. Deep discussions, sharp thinking, and real signals about the Agent era are unfolding live 👇
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🎤 Jiang Tao — AI and open collaboration
He emphasized the growing importance of open collaboration in the AI era, especially as global developers and communities engage more deeply in building AI systems.
👉 Open source continues to play a key role in enabling participation and innovation.
👉 The evolution of AI is closely tied to how developers collaborate at scale.
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🎤 Timothy Gowers — AI in mathematical research
He discussed how AI is increasingly being used in mathematical problem solving and research workflows.
👉 AI can assist in exploring proofs and generating ideas.
👉 At the same time, understanding and validating results remains essential.
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🎤 Gaël Varoquaux — Statistical foundations of AI
He highlighted that AI systems are fundamentally based on statistical modeling and uncertainty.
👉 Outputs should be understood as estimates rather than facts.
👉 Proper evaluation is critical to ensure reliability.
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🎤 Bill Ren — The rise of AI Agents
He discussed the emergence of AI Agents and new software paradigms, referencing the evolution toward Software 3.0.
👉 Agents combine capabilities such as models, memory, and tools.
👉 New collaboration patterns between humans and AI systems are beginning to take shape.
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💥 And this is just a snapshot.
Many speakers and discussions are still ongoing — a lot of important ideas haven’t been fully captured here yet.
The conversations are evolving fast. The implications are real.
Stay tuned — more to come.
#GOSIM #AIVisionForum #AI #OpenSource #AIAgents #TechConference #FutureOfAI