mimo

A tinkerer jokingly rebuts Dario Amodei's critique of open-weight models by running MiMo-2.6-Pro (FP8, ~566GB) on a Jetson AGX Thor with 128GB memory at 0.646 tokens/sec — painfully slow, but fully traced and replayable step by step.

A time-series conditioned diffusion framework for MIMO channel estimation that uses an LSTM to encode temporal dynamics and an SNR-gated late-fusion shortcut, with SNR-adaptive DDIM denoising for low-latency inference in 5G/6G systems.

Xiaomi open-sourced ~7K RL environments used to train MiMo on HuggingFace, while billxbf uploaded a 7,780-entry MiMo RL dataset and released Skill2Env with 7,496 additional RL datasets to Harbor Hub — 15,276 RL data points made free that would otherwise cost millions from vendors.

The MiMo-V2.6 model series has been updated to fix tool-call repetition issues caused by a reward blind spot in scaling reinforcement learning, using a lightweight RL teacher to reduce repetition while maintaining benchmark performance.

This article identifies and provides fixes for three bugs encountered when serving the MiMo-V2.6-Flash model with vLLM, including empty responses in streaming mode, reasoning loss in tool loops, and a hidden token output cap.

MiMo-V2.6 has been distilled into Qwen 9B, creating a more efficient version of the Qwen model released on Hugging Face.

Peano Labs has scaled reinforcement learning on TPUs for the MiMo model family, enabling full-parameter RL at 310B parameters with Jax, where scaling is primarily a configuration change.

This article compares the performance of MiMo-V2.6-Flash-RL with open-weight models using Terminal-Bench 4.0 results, showing MiMo's competitive scores.

mimofan v0.0.17 is a Rust terminal AI coding assistant released with native support for MiMo and DeepSeek models, featuring security audit gates, memory enhancements, protocol improvements, and subagent orchestration.

This paper proposes NN-CLEAN, a hybrid framework that embeds a multi-head residual network into the iterative CLEAN extraction loop for efficient multipath parameter estimation in low-SNR channel modeling. It matches traditional Grid-Search CLEAN accuracy while greatly reducing computational complexity and enabling parallelization for real-time MIMO systems.

Proposes a deep wireless physical neural network where multi-hop MIMO relays realize trainable linear transforms and power amplifier nonlinearities serve as activation functions, enabling over-the-air inference for image classification.

A free online textbook covering the fundamentals of wireless communication, including MIMO, space-time coding, OFDM, and CDMA, intended for graduate students and practicing engineers.

Xiaomi has quietly released MiMo-V2.5-DFlash, a 300B-parameter model on Hugging Face, with DFlash potentially doubling inference speed.

MiMo v2.5 is praised for its impressive token generation speed in OpenCode, suggesting it's an underrated model update.

Mimo and DeepSeek have optimized AI models to achieve low pricing with 2-3x profit margins, as detailed in their official blog.

Recommend the Opencode go plan. First month $5, supports Alipay. Use mimo 2.5 or deepseek v4pro models. Configure on Hermes to handle daily tasks via phone, and use Codex for complex tasks.

MiMo-V2.5-Pro-UltraSpeed is a fast model that can generate animated demonstrations of the quicksort algorithm.

Xiaomi MiMo thanks @cline for their partnership, celebrating the rise of open-weights and developers building on MiMo.

This paper presents Agentic-LTPO, a nested bilevel optimization framework that uses agentic AI to adapt physical layer configurations under dynamic operator policies, achieving 57.2% long-term performance improvement in cell-free MIMO beamforming.

The Stepfun Open Platform has launched a new step plan package, offering a 15-day free trial. Both new and existing users can participate, and inviting friends can extend the trial period.