MiniMax M2.1 Workshop & Dinner: SOTA and OPEN SOURCE for Real-World Dev & Agents
MiniMax M2.1 Workshop & Dinner
MiniMax × AI Valley, Co-Hosted with HAC.ai
Join us for an intimate, high-signal evening for exceptional builders and engineers, featuring a session from MiniMax centered on their latest M2.1 model, paired with a frontier model company guest speaker, followed by a curated builder dinner.
The event is co-hosted with HAC.ai at the Hanwha AI Center in San Francisco.
Spots are limited to preserve a high-signal experience. Application and approval required.
MiniMax M2.1 Benchmark Highlights
MiniMax M2.1 achieves state-of-the-art performance among open-source models across reasoning, planning, and agentic benchmarks, positioning it competitively alongside frontier closed models. It now ranks #1 among open-source models on Code Arena and #6 overall, #1 on Hugging Face, 200k+ builders are already coding into 2026 with M2.1
• SOTA on coding benchmarks (SWE VIBE / Multi-SWE)
• Beats Gemini 3 Pro & Claude Sonnet 4.5
• 10B active 230B total (MoE)
Not just SOTA, faster to infer, easier to deploy, and you can run it locally
Who it’s for
Engineers, founders, and technical builders working with AI
People who value depth, craft, and real-world impact
Why attend
Learn how MiniMax M2.1 is designed and positioned as an open, production-ready frontier model
Understand practical tradeoffs in model performance, evaluation, and deployment through real-world discussion
See how M2.1 can be used or tested in applied settings, with optional demos or walkthroughs
Hear a complementary frontier perspective from another top AI organization
Connect with exceptional builders in a thoughtfully curated, technical environment
🗓️ Schedule
6:00 – 6:25 PM — Arrival & Welcome
6:25 – 6:45 PM — Applied AI Workshop (MiniMax)
6:45 – 7:25 PM — Talk & Q&A (Industry Expert)
7:30 – 9:00 PM — Builder Dinner
🎙️ Guest Talks
Arya Talebzadeh (MTS, OpenAI) leads Production Learning & Experimentation, previously Data Flywheel & Evals at Meta AI. He’ll share “The Data Flywheel: Continuous Improvement with User Interactions”—how frontier AI teams use user signals + evals to iterate faster, including a deep dive on reinforcement learning from user feedback.
Vincent Koc (Comet; MIT, Forbes tech council) will deliver an applied talk on transitioning from proprietary models to open-source frontier models like MiniMax—how to move beyond closed-model prompting, interpret benchmarks correctly, and optimize evaluation and workflows to get full performance from open-source, agentic systems
Our Hosts:
About MiniMax
MiniMax is a leading global AI innovator (model + application) dedicated to advancing artificial general intelligence (AGI) through developing proprietary models in multi-modality, including the MiniMax-M2.1 LLM, Hailuo-2.3 video model, and Speech-2.6 TTS models. To date, these advanced models are the backbones of MiniMax’s AI-native products — including MiniMax Agent, Hailuo AI Video Platform, MiniMax Audio, and Talkie — empowering over 150 million users and tens of thousands of enterprises worldwide
Multimodal: LLM/TTS/Video/Music/Image
🌐 Website: https://www.minimax.io/
🔗 X: https://x.com/MiniMax_AI
👥 Community (Discord): https://discord.gg/minimax
Hanwha AI Center (HAC) is a private membership for all those dedicated to AI. As a hub for innovation, HAC brings together passionate entrepreneurs, researchers, and visionaries to explore the societal and technological impacts of AI on human life.
AI Valley is a high-signal community for exceptional builders, founders, and creators—rooted in supporting first-generation talent worldwide, and open to anyone serious about building real things. We curate environments where ambitious people meet collaborators, mentors, and opportunities through hackathons, competitive builds, workshops, and intimate gatherings across AI, tech, and the arts. If you care about who you build with as much as what you build, this is your place.
🌐 Website: https://aivalley.io
📅 Events: https://lu.ma/aivalley
👥 Community (Discord): https://discord.gg/QESCnSUPC9
📰 Newsletter: https://aivalleyio.substack.com
🔗 All links: https://aivalley.io/links