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| [ SF Open Source AI Week ] |
dAGI Summit
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| With founder/CEOs William Falcon (Lightning AI), Jan Liphardt (OpenMind), Vincent Weisser (Prime Intellect), Robert Bench (Radius), Alex Cheema (Exo), Vinay Bannihatti Kumar (Applied Scientist, AWS), Jonathan Raiman (Research Scientist, NVIDIA), Anupam Datta (AI Research, Snowflake). |
| Venue, To Be Announced, San Francisco |
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Oct 24 (Fri) , 2025 @ 10:00 AM
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$499 |
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| DETAILS |
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Welcome to dAGI Summit 2025
Culmination of Open Source AI Week 2025
In a world where AI increasingly shapes reality, those who design it control the future. If you believe, that AI should be open for everyone - join us this fall in San Francisco!
**What you will get?
300 OS AI builders in one room
40 leading companies sharing insights
20+ investors scouting early-stage AI startups
15 practical talks on agentic systems & OSS models
2 stages: "Open Source" & "Decentralized AI"
4 insightful panels with AI founders & VCs
**What's dAGI Summit?
Our goal is to focus on making AI universally accessible, provably fair, impartial & beneficial for all.
We are bringing together senior researchers & leaders from OpenAI, DeepMind, Amazon, Meta & NVIDIA, alongside the founders & maintainers of top open-source AI projects like Letta, Cline & PyTorch.
They will be joined by leading research labs in open & distributed AI, such as Prime Intellect, Pluralis & Nous Research.
**Program Tracks
>> Open model stack: Beyond just open weights: community-owned models, efficient fine-tuning, truly transparent & accessible AI systems.
>> Decentralized & distributed systems: Designing the resilient, censorship-resistant compute & data layers that will form the backbone of the open economy.
>> Multi-agent coordination: Protocols, standards, & platforms for orchestrating complex systems of autonomous agents that act on behalf of users, not platforms.
>> AI-native economies: Market mechanisms, & governance structures for agentic, open, inclusive economic institutions powered by AI.
>> Applied cybernetics: Designing AI with built-in feedback loops for error correction, adaptation, & coordination.
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