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Kimi

26 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 19, 2026 · Artificial Intelligence

How Can Agents Learn to Train Models? From Score‑Chasing to Verifiable Self‑Evolution

The talk introduces RSIBench‑Data, a benchmark that transforms the problem of agents merely “gaming scores” into a controlled scientific experiment, enabling agents to diagnose failures, design informative data experiments, and achieve verifiable recursive self‑improvement, with early results showing a jump in checkpoint success rates from 8% to 22%.

AI agentsKimiLoRA
0 likes · 6 min read
How Can Agents Learn to Train Models? From Score‑Chasing to Verifiable Self‑Evolution
Tech Ocean
Tech Ocean
Jul 21, 2026 · Artificial Intelligence

Run Claude Code on Kimi or Qwen: Full Guide to Using Domestic LLMs

Claude Code only understands Anthropic‑format endpoints, but by adjusting three environment variables you can route it to domestic models such as Kimi K3 or Alibaba Qwen, with detailed step‑by‑step instructions for direct env‑var changes, settings‑file configuration, and GUI or CLI tools, plus known limitations.

Anthropic APICC SwitchClaude Code
0 likes · 12 min read
Run Claude Code on Kimi or Qwen: Full Guide to Using Domestic LLMs
Baobao Algorithm Notes
Baobao Algorithm Notes
Jul 2, 2026 · Artificial Intelligence

How to Connect Chinese LLMs to Codex: A Hands‑On Tutorial

This article walks through installing Codex, adding the open‑source CC Switch tool, and configuring Chinese large language models such as Kimi so they can serve as the backend for Codex’s AI agent, with step‑by‑step screenshots and performance examples.

AI AgentCC SwitchChinese LLM
0 likes · 11 min read
How to Connect Chinese LLMs to Codex: A Hands‑On Tutorial
AI Insight Log
AI Insight Log
Jun 12, 2026 · Artificial Intelligence

Kimi K2.7 Code: 1T MoE Model Cuts Tokens 30% and Beats Claude Opus on MCP Calls

The newly released Kimi K2.7 Code, a 1‑trillion‑parameter mixture‑of‑experts model that activates only 32 B parameters per inference, offers a 256 K context window, supports multimodal input, improves benchmark scores by up to 31.5 % over K2.6, reduces inference token usage by about 30 %, and achieves an 81.1 MCP tool‑call score surpassing Claude Opus 4.8, while providing a CLI installation command and usage guidelines.

Coding ModelKimiMCP
0 likes · 7 min read
Kimi K2.7 Code: 1T MoE Model Cuts Tokens 30% and Beats Claude Opus on MCP Calls
Architect Practice
Architect Practice
May 14, 2026 · Artificial Intelligence

Cut Your AI Coding Bill by 80% with Smart Model Routing and Prompt Caching

The author slashed a monthly AI‑coding expense from $4,200 to $312 without changing tools or delivery speed by fixing five token‑waste traps, enabling prompt caching, applying disciplined context handling, and routing tasks to the right model tier, all backed by concrete benchmarks and a 30‑day rollout plan.

AI programmingClaudeKimi
0 likes · 31 min read
Cut Your AI Coding Bill by 80% with Smart Model Routing and Prompt Caching
SuanNi
SuanNi
May 9, 2026 · Industry Insights

After DeepSeek: Moon’s Dark Side and Jumps Star Raise New AI Funding

Since early 2026, China's large‑model sector has entered a rapid financing phase, with DeepSeek courting a state‑backed lead investor at a $45 billion valuation, Kimi completing a $20 billion round that pushes its valuation past $200 billion, and Jumps Star securing nearly $25 billion, reshaping the competitive landscape and highlighting the shift from pure technology breakthroughs to commercial and capital‑driven dynamics.

AI financingChina AI industryDeepSeek
0 likes · 12 min read
After DeepSeek: Moon’s Dark Side and Jumps Star Raise New AI Funding
ZhongAn Tech Team
ZhongAn Tech Team
Apr 27, 2026 · Artificial Intelligence

The Single‑Agent Era Ends – Kimi K2.6 Scales to 300 Agents for Complex Tasks

This week’s tech roundup covers the launch of Kimi K2.6 with a 300‑agent swarm capability and major performance gains, DeepSeek V4’s new sparse‑attention architecture and pricing, Meshy’s AI‑3D partnership, a $4.55 B AI‑brain funding round, Honor’s record‑breaking robot, M‑Flow’s cone‑graph memory engine, and Vision Banana’s unified visual model, all backed by benchmark data and industry commentary.

3D GenerationAI agentsAI industry
0 likes · 32 min read
The Single‑Agent Era Ends – Kimi K2.6 Scales to 300 Agents for Complex Tasks
Machine Heart
Machine Heart
Apr 25, 2026 · Artificial Intelligence

How DeepSeek and Kimi’s Open‑Source Collaboration Is Redefining China’s AI Landscape

The article analyses DeepSeek V4’s technical report, revealing repeated “encounters” between DeepSeek and Kimi—shared MLA attention, Muon optimizer, and divergent long‑context strategies—while highlighting their open‑source releases, hardware adaptations, and ecosystem impact that dramatically lower deployment costs for Chinese AI.

AIDeepSeekKimi
0 likes · 10 min read
How DeepSeek and Kimi’s Open‑Source Collaboration Is Redefining China’s AI Landscape
Design Hub
Design Hub
Apr 21, 2026 · Artificial Intelligence

Two Simultaneous Battlefronts Define the Past 24 Hours in AI, Not Just New Models

In the last 24 hours the AI landscape shifted not by a handful of new model releases but by two converging fronts—model‑level advances in agentic coding and product‑level moves that turn models into usable work systems—signaling deeper changes in competition and industry impact.

AI modelsClaudeKimi
0 likes · 14 min read
Two Simultaneous Battlefronts Define the Past 24 Hours in AI, Not Just New Models
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
AI Engineer Programming
AI Engineer Programming
Apr 5, 2026 · Artificial Intelligence

How Kimi, Cursor, and Chroma Use Reinforcement Learning to Train Agent Models

The article analyzes three recent technical reports—Moonshot AI's Kimi K2.5, Cursor's Composer 2, and Chroma's Context‑1—detailing how each system trains agent models with reinforcement learning, parallel orchestration, self‑summarization, and self‑editing, and highlights shared methodological themes and performance gains.

Chroma Context-1Cursor ComposerKimi
0 likes · 19 min read
How Kimi, Cursor, and Chroma Use Reinforcement Learning to Train Agent Models
Machine Heart
Machine Heart
Apr 3, 2026 · Artificial Intelligence

Kimi’s ‘Option Time Machine’: Interns Gain Equity While Building Cutting‑Edge AI

Kimi, a three‑year‑old AI‑native unicorn valued over $120 billion, launches a “Time‑Machine” option program that grants interns equity while showcasing its rapid valuation growth, record‑breaking context lengths, novel Kimi Linear architecture, token‑efficiency gains, and open‑source models that rival leading LLMs.

AI Talent ProgramAgent SwarmsAttention Residuals
0 likes · 10 min read
Kimi’s ‘Option Time Machine’: Interns Gain Equity While Building Cutting‑Edge AI
AI Engineering
AI Engineering
Mar 21, 2026 · Industry Insights

Is Cursor’s Composer 2 Powered by Kimi? The Truth Is More Complex

A developer uncovered that Cursor’s Composer 2 actually runs on the Kimi K2.5 model with reinforcement learning, prompting a rapid licensing dispute that ended with official confirmation and highlights the opaque yet collaborative nature of today’s open AI model ecosystem.

AI model licensingComposer 2Cursor
0 likes · 4 min read
Is Cursor’s Composer 2 Powered by Kimi? The Truth Is More Complex
Baobao Algorithm Notes
Baobao Algorithm Notes
Jan 27, 2026 · Artificial Intelligence

Putting Kimi K2.5 and Kimi Code to the Test: Real‑World AI Agent Benchmarks

This article presents a hands‑on evaluation of Kimi K2.5 and its open‑source Kimi Code agent across a series of hard‑core prompts, covering Python API generation, cost‑optimized routing, multimodal ECharts visualisation, massive‑scale SQL optimisation, web‑search‑driven research, MoE explanation and video‑to‑code workflows.

AI AgentKimiLarge Language Model
0 likes · 9 min read
Putting Kimi K2.5 and Kimi Code to the Test: Real‑World AI Agent Benchmarks
Baobao Algorithm Notes
Baobao Algorithm Notes
Nov 7, 2025 · Artificial Intelligence

Kimi K2-Thinking: 1T‑Parameter Agent Model Beats GPT‑5 on Humanity’s Last Exam

Kimi's open‑source K2‑Thinking model, a 1‑trillion‑parameter agent with native INT4 quantization and 256k context, achieves SOTA performance on benchmarks like Humanity’s Last Exam, BrowseComp and SEAL‑0, outperforms GPT‑5 and Grok‑4, and demonstrates complex tool‑driven reasoning through real‑world examples.

AIK2-ThinkingKimi
0 likes · 6 min read
Kimi K2-Thinking: 1T‑Parameter Agent Model Beats GPT‑5 on Humanity’s Last Exam
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Sep 28, 2025 · Artificial Intelligence

Can AI Automate the Entire Research Cycle? From Paper Reading to Code Reproduction

The author builds an AI‑driven end‑to‑end assistant that transforms a research paper into a structured reading note, generates reproducible code, runs experiments, summarizes results, and creates a report, demonstrating how large language models like Kimi K2 can streamline the entire paper‑to‑implementation workflow.

AI workflowClaude CodeKimi
0 likes · 9 min read
Can AI Automate the Entire Research Cycle? From Paper Reading to Code Reproduction
Data Thinking Notes
Data Thinking Notes
Mar 30, 2025 · Artificial Intelligence

How DeepSeek‑R1 and Kimi‑K1.5 Push the Boundaries of Strong Reasoning Models

This comprehensive analysis by the Peking University AI Alignment team dissects the technical innovations behind DeepSeek‑R1, DeepSeek‑R1 Zero, and Kimi‑K1.5, covering reinforcement‑learning‑based post‑training, rule‑based rewards, GRPO optimization, scaling laws, multimodal extensions, safety challenges, and future research directions.

AI alignmentDeepSeekKimi
0 likes · 57 min read
How DeepSeek‑R1 and Kimi‑K1.5 Push the Boundaries of Strong Reasoning Models
Architects' Tech Alliance
Architects' Tech Alliance
May 18, 2024 · Industry Insights

Why Kimi Is Redefining China’s AI Large‑Model Landscape

The article analyzes how Kimi’s superior long‑context capabilities have propelled it to the top of user traffic in China, reshaping the competitive dynamics among domestic and international AI large models and driving a rapid surge in compute demand across both C‑end and B‑end applications.

AIChinaKimi
0 likes · 6 min read
Why Kimi Is Redefining China’s AI Large‑Model Landscape
CSS Magic
CSS Magic
Mar 13, 2024 · Artificial Intelligence

How Moonshot’s Kimi Model Beats Big‑Tech LLMs with 200k‑Token Context

The author tests Moonshot’s Kimi API, revealing its 200 k‑character context window, superior token‑to‑character ratio compared with GPT‑3.5 and Gemini, and performance that, while slower than GPT‑3.5 Turbo, rivals GPT‑4 Turbo, all while offering OpenAI‑compatible endpoints and free credit for developers.

API CompatibilityContext LengthKimi
0 likes · 8 min read
How Moonshot’s Kimi Model Beats Big‑Tech LLMs with 200k‑Token Context