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upvoted 3 articles 24 days ago

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Article

What makes good reasoning data

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24 days ago

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32

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Article

Aligning to What? Rethinking Agent Generalization in MiniMax M2

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24 days ago

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25

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Article

Why Did MiniMax M2 End Up as a Full Attention Model?

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24 days ago

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65

liked a model 27 days ago

MiniMaxAI/MiniMax-M2

Text Generation • 229B • Updated 10 days ago • 961k • • 1.35k

updated a model 28 days ago

MiniMaxAI/MiniMax-M2

Text Generation • 229B • Updated 10 days ago • 961k • • 1.35k

upvoted a paper 3 months ago

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Paper • 2509.06501 • Published Sep 8 • 78

upvoted a paper 5 months ago

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 271

upvoted a collection 5 months ago

MiniMax-M1

Collection

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. • 6 items • Updated Oct 21 • 116

upvoted 3 papers 6 months ago

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Paper • 2505.19641 • Published May 26 • 67

One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60

MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder

Paper • 2505.07916 • Published May 12 • 133

liked 3 Spaces 6 months ago

Running

64

MiniMaxVL01

💬

64

Generate responses to text and images in a chat interface

Running

117

MiniMaxText01

💬

117

Generate responses to text and images in a chat interface

Running

100

MiniMax Speech Tech Report

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100

Generate high-quality speech from text with voice cloning

upvoted an article 10 months ago

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Article

MiniMax-01 is Now Open-Source: Scaling Lightning Attention for the AI Agent Era

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Jan 15

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48