MiniMax M3 introduces MiniMax Sparse Attention, a 1M-token context window, and native image, video, and computer use support.
The post MiniMax Releases MiniMax M3 with MSA Architecture Supporting 1M-Token Context, Native Multimodality, and Agentic Coding appeared first on MarkTechPost.
MiniMax released MSA, a sparse attention built on Grouped Query Attention. A lightweight Index Branch selects Top-k key-value blocks per query and GQA group; the Main Branch attends only to those blocks. It matches GQA on downstream benchmarks while reducing per-token attention compute 28.4× at 1M context.
The post MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget appeared first on MarkTechPost.
MiniMax's M3 model could revolutionize decentralized AI by significantly reducing latency and costs, enhancing scalability and efficiency.
The post MiniMax teases M3 model with 15.6x faster decoding speed boost appeared first on Crypto Briefing.
The ruling highlights the growing tension between AI innovation and copyright law, potentially reshaping global AI market regulations.
The post MiniMax loses bid to end Disney copyright lawsuit over AI system appeared first on Crypto Briefing.
The case underscores the growing legal scrutiny on AI training data, impacting investor confidence and shaping future AI industry practices.
The post MiniMax loses bid to dismiss Disney copyright lawsuit over AI system appeared first on Crypto Briefing.
Following in the footsteps of the recently released Gemma 4, MiniMax has now made its latest model, MiniMax M2.7, completely open-weight. In simple terms, developers can now download the model, run it on their own systems, and start building with it. This is in contrast with the model being a completely cloud-hosted AI service up […]
The post MiniMax M2.7 Goes Open-Weight to Let You Run Agents Locally appeared first on Analytics Vidhya.
MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative capabilities, both to human developers working in a terminal and to AI agents running in tools like Cursor, Claude Code, and OpenCode. What Problem Is MMX-CLI Solving? […]
The post MiniMax Releases MMX-CLI: A Command-Line Interface That Gives AI Agents Native Access to Image, Video, Speech, Music, Vision, and Search appeared first on MarkTechPost.
MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18, 2026, MiniMax M2.7 is the MiniMax’s most capable open-source model to date — and its first model to actively participate in its own development cycle, a meaningful shift in how large language models are built […]
The post MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2 appeared first on MarkTechPost.
