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Data Party THU
Data Party THU
Apr 28, 2026 · Artificial Intelligence

How MiniMax Drives Joint Evolution of Models and Harnesses

The article analyzes MiniMax’s strategy of co‑evolving large language models with a Harness framework, contrasting product philosophies, detailing a live MaxHermes demo that creates and refines reusable Skills, and explaining how this dual evolution reshapes the competitive focus from single‑turn Q&A to sustained, self‑improving agent workflows.

AI agentsHermesMiniMax
0 likes · 14 min read
How MiniMax Drives Joint Evolution of Models and Harnesses
Old Zhang's AI Learning
Old Zhang's AI Learning
Apr 15, 2026 · Industry Insights

Is the Era of Commercial‑Ready Chinese Open‑Source LLMs Ending? MiniMax M2.7 License Update

The MiniMax M2.7 model switched its open‑source license to forbid commercial use, igniting a heated debate about what constitutes commercial activity, prompting a community clarification that self‑hosted coding remains free, and leading to a revised license that explicitly permits personal, academic, and non‑profit uses while highlighting broader market pressures from cloud providers that are reshaping the open‑source LLM ecosystem.

AI industryKimiLLM licensing
0 likes · 10 min read
Is the Era of Commercial‑Ready Chinese Open‑Source LLMs Ending? MiniMax M2.7 License Update
Coder Circle
Coder Circle
Apr 14, 2026 · Backend Development

Spring AI Hands‑On for Java Developers: Connecting ChatClient to the MiniMax LLM

This tutorial shows Java engineers how to set up a Spring Boot 4 project, configure Spring AI for the MiniMax large‑language model, call it via simple and streaming endpoints, use prompt templates with dynamic parameters, add metadata and advisors, and switch between different LLM providers with minimal code changes.

JavaLLMMiniMax
0 likes · 8 min read
Spring AI Hands‑On for Java Developers: Connecting ChatClient to the MiniMax LLM
Machine Heart
Machine Heart
Apr 10, 2026 · Artificial Intelligence

MiniMax’s New Model Generates 20‑Second Covers in Any Style

MiniMax’s latest update introduces a Cover feature that transforms any song into a new style within 20 seconds, alongside the Music 2.6 model which boosts speed, expands instrument variety and enhances mid‑low‑frequency quality, with open‑source Music Skills and playlist agents enabling fully controllable AI‑generated music.

AI musicCover featureGitHub
0 likes · 8 min read
MiniMax’s New Model Generates 20‑Second Covers in Any Style
Architect's Journey
Architect's Journey
Mar 28, 2026 · Industry Insights

China’s AI Models Enter the Token Era with 4.69 Trillion Weekly Tokens

In March 2026, Chinese AI large‑model APIs processed 4.69 trillion tokens per week, overtaking the United States, driven by cheap electricity, aggressive tech optimization, and self‑evolving models like MiniMax M2.7, which together lower AI adoption costs and reshape the global AI landscape.

ChinaMiniMaxToken economy
0 likes · 6 min read
China’s AI Models Enter the Token Era with 4.69 Trillion Weekly Tokens
Shuge Unlimited
Shuge Unlimited
Mar 26, 2026 · Artificial Intelligence

MiniMax M2.7 Review: Full‑Modal Token Plan Beats Opus at 1/50 the Cost

The MiniMax M2.7 model matches Claude Opus 4.6 in software‑engineering benchmarks, offers a unique self‑evolution capability that improves performance by 30% after 100+ iterations, and provides a full‑modal Token Plan subscription priced at just one‑fiftieth of competing services, though users must manage new weekly quotas and peak‑time limits.

AI modelBenchmarkClaude Opus
0 likes · 13 min read
MiniMax M2.7 Review: Full‑Modal Token Plan Beats Opus at 1/50 the Cost
AI Engineering
AI Engineering
Mar 22, 2026 · Artificial Intelligence

How MiniMax’s Open‑Source Skills Boost AI Code Quality to Senior Engineer Level

MiniMax has released an open‑source skills repository that guides AI through complete development workflows—from requirement analysis to production‑grade code—covering frontend, full‑stack, mobile, shader, and document generation tasks, with support for Claude Code, Cursor, Codex, and OpenCode, and reports 97% task adherence on complex tasks.

AI code generationClaudeCodex
0 likes · 4 min read
How MiniMax’s Open‑Source Skills Boost AI Code Quality to Senior Engineer Level
SuanNi
SuanNi
Mar 19, 2026 · Artificial Intelligence

How OpenAI, MiniMax, and Xiaomi Are Redefining AI with Tiny Yet Powerful Models

This article analyzes the recent release of OpenAI's GPT‑5.4 mini and nano, MiniMax's self‑evolving M2.7, and Xiaomi's MiMo‑V2 family, detailing their architectures, benchmark scores, pricing, target scenarios, and the broader industry shift toward lightweight, fast, and autonomous AI agents.

BenchmarkMiniMaxOpenAI
0 likes · 15 min read
How OpenAI, MiniMax, and Xiaomi Are Redefining AI with Tiny Yet Powerful Models
AI Insight Log
AI Insight Log
Mar 18, 2026 · Artificial Intelligence

MiniMax M2.7 Self‑Trains and Rivals GPT‑5 & Opus 4.6 on Eight Benchmarks

MiniMax M2.7, released just a month after M2.5, introduces a self‑evolution training loop and achieves competitive scores on eight benchmarks—matching or surpassing Claude Opus 4.6, GPT‑5.4, Sonnet 4.6 and Gemini 3.1 Pro—while showcasing autonomous skill building, multi‑agent collaboration, and real‑world productivity applications.

Agent TeamsBenchmarkClaude Opus
0 likes · 10 min read
MiniMax M2.7 Self‑Trains and Rivals GPT‑5 & Opus 4.6 on Eight Benchmarks
Architecture Digest
Architecture Digest
Mar 5, 2026 · Artificial Intelligence

Deploy OpenClaw AI Agent on macOS with Docker and Feishu Integration

This guide walks you through installing OpenClaw, an AI‑powered computer automation agent, on a macOS machine using Docker, configuring the MiniMax model, setting up the Feishu chatbot plugin, and verifying that the system responds to commands, all with step‑by‑step commands and screenshots.

AI AgentAutomationDocker
0 likes · 8 min read
Deploy OpenClaw AI Agent on macOS with Docker and Feishu Integration
AI Insight Log
AI Insight Log
Feb 15, 2026 · Artificial Intelligence

Open-Source MiniMax M2.5 Hits New Year Eve: Top Coding Scores and Ultra‑Low Cost

The MiniMax M2.5 model, released open‑source on Feb 13, achieves an 80.2% SWE‑Bench Verified score that surpasses GPT‑5.2, Claude Opus 4.6 and Google Gemini 3 Pro, runs 37% faster than its predecessor, costs only $1 per hour, and demonstrates SOTA agent abilities in browsing and tool use, marking a major leap for Chinese large‑language models.

AI CodingAgentM2.5
0 likes · 7 min read
Open-Source MiniMax M2.5 Hits New Year Eve: Top Coding Scores and Ultra‑Low Cost
Old Meng AI Explorer
Old Meng AI Explorer
Jan 28, 2026 · Artificial Intelligence

How to Deploy ClawdBot: Turn Your PC into a Proactive AI Assistant

This article explores the rapid rise of the open‑source ClawdBot AI assistant, explains its four core advantages, outlines security risks with mitigation strategies, and provides a detailed step‑by‑step guide for deploying ClawdBot using MiniMax 2.1 on a dedicated machine.

AI AssistantClawdbotMiniMax
0 likes · 9 min read
How to Deploy ClawdBot: Turn Your PC into a Proactive AI Assistant
JavaGuide
JavaGuide
Dec 26, 2025 · Artificial Intelligence

MiniMax M2.1 Review: Can It Handle Real‑World Java and Multi‑Language Projects?

After testing MiniMax M2.1 on a full‑stack e‑commerce order‑management task, the author finds the model correctly implements DDD layers, transaction handling, custom exceptions, and even generates a polished cyber‑punk UI, while its Java‑to‑Go code respects each language’s concurrency model and scores over 88 on the VIBE benchmark.

AI CodingDDDGo
0 likes · 8 min read
MiniMax M2.1 Review: Can It Handle Real‑World Java and Multi‑Language Projects?
DataFunTalk
DataFunTalk
Dec 24, 2025 · Artificial Intelligence

Can MiniMax M2.1 Match Top Coding AIs? A Hands‑On Benchmark Review

This article evaluates MiniMax M2.1’s new coding capabilities across multiple benchmarks, including SWE‑bench, Java satellite‑control projects, full‑stack attack visualizations, and a one‑click mobile‑OS simulation, comparing its performance to Claude Sonnet 4.5 and Opus 4.5.

AI coding assistantM2.1MiniMax
0 likes · 8 min read
Can MiniMax M2.1 Match Top Coding AIs? A Hands‑On Benchmark Review
DataFunTalk
DataFunTalk
Jun 17, 2025 · Artificial Intelligence

MiniMax M1: Open‑Source LLM That Rivals Gemini 2.5 Pro in Long‑Context Benchmarks

MiniMax’s newly released open‑source M1 model, built on the Lightning Attention‑enhanced MiniMax‑01 base, delivers up to 1 million token context, achieves near‑state‑of‑the‑art performance on MRCR and other long‑context benchmarks, and showcases impressive multilingual translation, code completion, and creative applications.

Lightning AttentionMiniMaxbenchmark evaluation
0 likes · 11 min read
MiniMax M1: Open‑Source LLM That Rivals Gemini 2.5 Pro in Long‑Context Benchmarks
Model Perspective
Model Perspective
Feb 21, 2024 · Fundamentals

Mastering Game Theory: Strategies to Maximize Your Winning Odds

Game theory, the mathematical study of strategic decision‑making, explores concepts such as zero‑sum and non‑zero‑sum games, core strategies like balancing competition and cooperation, anticipatory thinking, minimax, the Prisoner’s Dilemma, and rule‑changing, illustrating their real‑world applications in economics, politics, and everyday life.

ApplicationsGame TheoryMiniMax
0 likes · 9 min read
Mastering Game Theory: Strategies to Maximize Your Winning Odds
Tencent Cloud Developer
Tencent Cloud Developer
Jun 27, 2018 · Artificial Intelligence

Search and Optimization Algorithms in Game AI

Game AI relies on a variety of search techniques—ranging from uninformed breadth‑first and depth‑first methods to heuristic‑driven A*, minimax with alpha‑beta pruning, and Monte Carlo Tree Search—as well as optimization approaches such as hill climbing, simulated annealing, genetic and evolution strategies, multi‑objective evolutionary algorithms, and neuroevolutionary methods like NEAT to generate intelligent, balanced, and adaptable game behavior.

A* algorithmMCTSMiniMax
0 likes · 20 min read
Search and Optimization Algorithms in Game AI
MaGe Linux Operations
MaGe Linux Operations
May 31, 2017 · Artificial Intelligence

Can Python’s Minimax Reveal the Winning Strategy in Doudizhu?

This article explains how to use a Python implementation of the minimax algorithm to analyze a Doudizhu end‑game scenario, detailing the core logic, recursive hand simulation, caching optimizations, and the final result that the farmer side has no guaranteed winning strategy.

DoudizhuMiniMaxPython
0 likes · 6 min read
Can Python’s Minimax Reveal the Winning Strategy in Doudizhu?