MiniMax (official)

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MiniMax (official)

MiniMax (official)

@MiniMax_AI

Agent: @MiniMaxAgent Token Plan: https://t.co/BDCycxepZw API: https://t.co/fHRdSV7BwZ Community: https://t.co/uhxxfLgkLU

San Francisco Katılım Ocak 2025
851 Takip Edilen102K Takipçiler
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MiniMax (official)
MiniMax (official)@MiniMax_AI·
Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscribe/toke… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days
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Amber Shen
Amber Shen@whosamberella·
I wanted to learn about humanoid robots 🤖, then decided the most reasonable thing to do was build myself a humanoid catalog to learn from. humanoid-index-one.vercel.app @MiniMax_AI M3 researched the space, then built the catalog in @opencode . The SVG prototype doesn’t just look good. It actually teaches you the distinct characteristics of each humanoid.
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MiniMax (official)
MiniMax (official)@MiniMax_AI·
research -> synthesize -> build. fun example of using M3 and @opencode to learn about a new domain instead of reading 20 tabs
Amber Shen@whosamberella

I wanted to learn about humanoid robots 🤖, then decided the most reasonable thing to do was build myself a humanoid catalog to learn from. humanoid-index-one.vercel.app @MiniMax_AI M3 researched the space, then built the catalog in @opencode . The SVG prototype doesn’t just look good. It actually teaches you the distinct characteristics of each humanoid.

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Victor Su-Ortiz
Victor Su-Ortiz@VictorSuOrtiz·
Had a ton of fun presenting on MSA white paper. GQA or MLA 🤔
MiniMax (official)@MiniMax_AI

some scenes from the @hud_evals × @ycombinator Frontier RL Environments Hackathon over the weekend. 24 intense, collaborative hours with 200 of the top builders in the world turning browser-use, robotics, logistics, and worldsims into environments where models can actually learn from. a few highlights built with MiniMax M3: Tera — zero-token browser-use RL env, #3 overall Warehouse AI — autonomous warehouse robot fleet coordination Atomz — Mars construction rovers in simulation project videos in the comments.

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MiniMax (official)
MiniMax (official)@MiniMax_AI·
some scenes from the @hud_evals × @ycombinator Frontier RL Environments Hackathon over the weekend. 24 intense, collaborative hours with 200 of the top builders in the world turning browser-use, robotics, logistics, and worldsims into environments where models can actually learn from. a few highlights built with MiniMax M3: Tera — zero-token browser-use RL env, #3 overall Warehouse AI — autonomous warehouse robot fleet coordination Atomz — Mars construction rovers in simulation project videos in the comments.
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MiniMax (official)
MiniMax (official)@MiniMax_AI·
Always fun to see frontier models tested in hackathon conditions. Looking forward to the projects with @SinguarityNET and free M3 through @S_Compute
SingularityNET@SingularityNET

We are pleased to announce that @MiniMax_AI, a global foundation model company, is sponsoring the BGI Sprint hackathon, supporting participants in building with the ASI Alliance technology stack and MiniMax's models. MiniMax's proprietary models and AI-native products serve over 300 million users across more than 200 countries and regions. Its mission, to build a world where intelligence thrives with everyone, is grounded in making AI broadly accessible and affordable, and in the belief that AGI should serve the many rather than the few. This reflects our own commitment to open, beneficial AGI for humanity. As part of this collaboration, participants will have free access* to the MiniMax M3 model through the @S_Compute platform and API for the duration of the hackathon. Beyond the BGI Sprint, this collaboration may extend into additional areas, including developer programs, research, and infrastructure, across the SingularityNET and MiniMax ecosystems. We will share further updates as this progresses. *Please note: MiniMax M3 access during the hackathon is subject to a requests-per-minute (RPM) limit.

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MiniMax (official) retweetledi
Cerebral Valley
Cerebral Valley@cerebral_valley·
The second official Engineer World’s Fair Hackathon with @aiDotEngineer Join us for 48 hours of building at the frontier of recursive self-improvement (RSI): systems that learn from their own outputs and become more capable through continuous iteration. Excited to be partnering with @GoogleDeepMind, @MongoDB, @MiniMax_AI, @LiveKit, and @digitalocean. 🏆 $10,000+ in prizes and partner credits June 27–28 hosted at @SHACK15sf Apply below👇
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Jay
Jay@jayair·
The other open source models are clawing market share back from DeepSeek
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Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
Hermes Agent 0.17 & MiniMax M3 played with Unreal Engine 5.8 MCP for 45 mins (condensed in 1 min video) and spent 10M tokens. Things are improving, we added Text and a Sphere! 🤣 But we failed to create and apply a texture. Note that I have nearly zero knowledge of Unreal Engine 🤷🏻‍♂️ Still experimental and using a lot of tokens due to various issues in tool calling. But it was a lot of fun to play with! 🚀 I bet we'll see amazing things out of this new UE 5.8 MCP!
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