Organization

MiniMax

42stories this week
92last 30 days
102all time

Timeline

  1. Oct 19, 2026 · Model release · 3 sources
    MiniMax M3.1 Flash shows China's AI price race has no floor in sight
    The article MiniMax M3.1 Flash shows China's AI price race has no floor in sight appeared first on The Decoder.
  2. Oct 19, 2026 · Model release · 1 source
    Space Bunny was MiniMax M3.1 Flash. 428B-A23B, weights drop Thursday
    the stealth model that sat at #1 on openrouter for 10 days and vanished on oct 5 is back with a name. minimax launched it on the api today, the launch post says weights on oct 23
  3. Oct 19, 2026 · Product / feature launch · 1 source
    Minimax M3.1 Flash is 428B 23a
    For anyone wondering if it will fit on 2 RTX 3090... sorry :(
  4. Oct 19, 2026 · Opinion / analysis · 1 source
    MiniMax-M3.1-Flash is coming
  5. Oct 19, 2026 · Opinion / analysis · 1 source
    Are the days of free open-source and shareware over?
    Fal-AI might have started this trend with the MiniMax-H3 spin into Fast-H3, but now there are a whole bunch of people on CivitAI selling Moss, Flux 3 Klein, Krea-2, MiniMax and other models' spinoff scaped together with the products of other people's hard work given to them free of cost.
  6. Oct 19, 2026 · Opinion / analysis · 1 source
    A potential fix for MOSS training issues....
    So I compared MOSS's training sigmas with Krea 2's and it was like looking at MiniMax all over again.
  7. Oct 18, 2026 · Opinion / analysis · 1 source
    UPDATE ME ON MINIMAX
    Hey all back after long time can you guys please tell me what is best model right now
  8. Oct 18, 2026 · Opinion / analysis · 1 source
    FLOW - SIGN | Naruto Band AI Music Video - Itachi vs Sasuke x Pain Arc
    My new AI MV Naruto Shippuden. using Minimax-h3Singularity and dmadminimaxh34stepfullcriticcomfyui.safetensors.
  9. Oct 17, 2026 · Opinion / analysis · 1 source
    Recap on Best Open Source AI Models so far
    So after so many models have been released the past year, what are everyone's top models so far?
  10. Oct 16, 2026 · Research paper · 1 source
    No-Regret Language Generation
    We introduce no-regret generation, which requires a generator to make a sublinear number of mistakes uniformly over all demonstration sequences and compatible target languages.
  11. Oct 16, 2026 · Research paper · 1 source
    Minimax-optimal Scaling Laws in Ridge Regression via Transfer Learning
    We address this question in the prototypical setting of high-dimensional regression, where (i) a pretrained source model is trained via ridge regression, and (ii) a fine-tuned target model is regularized via the $L2$ distance from the source estimator.
  12. Oct 15, 2026 · Research paper · 1 source
    Optimal approximation of smooth functions by ReLU neural networks
    We study uniform approximation of the Hölder ball $\mathcal H1^s([0,1]^D)$ by fully connected ReLU networks.
  13. Oct 15, 2026 · Opinion / analysis · 1 source
    Character swap with Minimax in Comfy - Cat Fiction
    I wanted to see if it was possible to recreate this Genjutsu spam (from Higgsfield) you get all over Tiktok (it is my understanding that it's a combo between Claude and Seedance 2.5) but with Minimax inside Comfy.
  14. Oct 15, 2026 · Research paper · 1 source
    Learning Rewards in Strategic Games
    Inverse reinforcement learning (IRL) provides a natural framework for this problem, but extending IRL to strategic multi-agent settings introduces a fundamental challenge: a reward that explains observed behavior does not necessarily induce optimal strategies when used for decision-making.
  15. Oct 15, 2026 · Research paper · 1 source
    Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents
    Risk-sensitive reinforcement learning (RL) addresses decision-making under uncertainty and adverse outcomes.
  16. Oct 15, 2026 · Research paper · 1 source
    Sharp and Stable Label-Free Calibration Certificates from Logical Coherence
    Query-conditioned probabilistic predictors answer logically related questions one at a time, and labels to check their calibration are often missing.
  17. Oct 15, 2026 · Research paper · 1 source
    When Is Muon Optimal? Radial Fragility and Minimax Geometry
    Muon replaces a matrix gradient by an approximate polar factor and has shown strong empirical performance in neural-network training.
  18. Oct 15, 2026 · Research paper · 1 source
    Calibration Language Shapes Block-Influence Pruning in Multilingual Language Models
    We study whether English calibration transfers to Indian languages in Qwen2.5-1.5B-Instruct, Llama-3.2-1B, and Gemma-2-2B.
  19. Oct 15, 2026 · Research paper · 1 source
    Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory
    Test-time scaling can improve the performance of large language models by generating multiple answers to a question and aggregating them.
  20. Oct 15, 2026 · Tutorial / explainer · 1 source
    I didn't do it, I did something else that might be even better
    so the idea i had was that the pixels in motion are not degrading as fast, the static pixels are the ones degrading quickly and i hypothesized that minimax, being as smart as it is, basically takes the degrading pixels in the background and degrades the moving ones to keep the image consistent.
  21. Oct 15, 2026 · Research paper · 1 source
    Dimension-Free PAC-Bayes Generalization for Deep Neural Networks via Dirichlet Processes
    Classical PAC-Bayesian generalization theory places prior distributions over Euclidean parameter space $Θ\subseteq \mathbb{R}^D$, causing relative entropy to scale with network dimension $D$.
  22. Oct 15, 2026 · Research paper · 1 source
    Personalized Projected Ascent for Federated Stackelberg Optimization
    Federated minimax problems, such as distributionally robust optimization and adversarial training, include an inner maximization variable built from each client's local data.
  23. Oct 14, 2026 · Opinion / analysis · 1 source
    Video to surface normals-map with NormalCrafter
    I designed a couple of ComfyUI nodes to convert video to surface normals-map estimation using the model NormalCrafter
  24. Oct 14, 2026 · Tutorial / explainer · 1 source
    Lora Training with Google Colab, now with Nvidia A100 as part of the AI pro plan.
    I currently have the plan because it was on promotion for 9.99 for 6 months, and I would like any information on how to set up a lora trainer for krea 2 and Anima in particular and something to generate videos with H3 Minimax.
  25. Oct 14, 2026 · Opinion / analysis · 1 source
    Mapping the Post-Transformer Architecture Landscape in 2026 [D]
    Went down the rabbit hole to map the different Post-Transformer architectures.
  26. Oct 14, 2026 · Research paper · 1 source
    Dimension-Optimal Dynamic Regret in Exp-Concave Online Learning
    To achieve this improvement, we develop a proper, full-information learner on compact convex subsets of $\mathbb{R}^d$ that adapts to the unknown path length and, under fixed dimension-independent diameter, gradient, and curvature parameters, guarantees
  27. Oct 14, 2026 · Research paper · 1 source
    Minimax estimation of the pseudo-spectral gap of continuous Markov chains, with applications to empirical concentration bounds
    We study the minimax estimation of the pseudo-spectral gap $γ{ps}$ of a Markov chain from the observation of a single trajectory.
  28. Oct 14, 2026 · Research paper · 1 source
    Convergence Rates of Gaussian Process Thompson Sampling for Efficient Global Optimization
    Motivated by this limitation, we propose Gaussian Process Capped Thompson Sampling (GP-CTS), which caps posterior sample paths using a valid RKHS norm upper bound while preserving optimism.
  29. Oct 14, 2026 · Research paper · 1 source
    On Global Joint Lower Bounds in Zeroth-Order Nonconvex Optimization
    Recent work has sought to transfer first-order nonconvex optimization guarantees to zeroth-order methods through gradient estimators, typically incurring a factor linear in $d$. \citet{kornowski2024} obtained an $\mathcal{O}(dδ^{-1}ε^{-3})$ oracle complexity for nonsmooth nonconvex optimization and asked whether its dependence on all three parameters is jointly optimal.
  30. Oct 14, 2026 · Opinion / analysis · 1 source
    Minimax is so much fun txt2vid

Often appears with