Moonshotai News

[AINews] OpenAI launches GPT-Image-2

with Cursor getting a $10B contract with xAI and a right to acquire for $60B.

China’s open-source bet

Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They ship models as downloadable “open-weight” packages. This lets developers adapt the models and run them on their own hardware to build products without negotiating a…

[AINews] Moonshot Kimi K2.6: the world's leading Open Model refreshes to catch up to Opus 4.6 (ahead of DeepSeek v4?)

Yay Kimi!!!

MoonshotAI: Kimi K2.6 (moonshotai/kimi-k2.6)

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

China Leads Asia’s Startup Funding To Its Highest Level In More Than 3 Years

Overall, investors put $27.4 billion to work across seed- through growth-stage financings for Asian companies in Q1, per Crunchbase data. That’s up about 20% from the prior quarter and nearly double year-ago levels, with total funding also hitting its highest level in more than three years.

Cursor admits its new coding model was built on top of Moonshot AI’s Kimi

Building on top of a Chinese model feels particularly fraught right now.

[AINews] Claude Cowork Dispatch: Anthropic's Answer to OpenClaw

a quiet day.

[AINews] Anthropic accuses DeepSeek, Moonshot, and MiniMax of >16 million "industrial-scale distillation attacks"

the US-China cold war takes a big step up

Anthropic accuses Chinese AI labs of mining Claude as US debates AI chip exports

Anthropic accuses DeepSeek, Moonshot, and MiniMax of using 24,000 fake accounts to distill Claude’s AI capabilities, as U.S. officials debate export controls aimed at slowing China’s AI progress.

Gemini Pro 3.1 and Sonnet 4.6 Released

Musk needed a new vision for SpaceX and xAI. He landed on Moonbase Alpha.

"I really want to see a mass driver on the moon that is shooting AI satellites into deep space."

What’s next for Chinese open-source AI

The past year has marked a turning point for Chinese AI. Since DeepSeek released its R1 reasoning model in January 2025, Chinese companies have repeatedly delivered AI models that match the performance of leading Western models at a fraction of the cost. Just last week the Chinese firm Moonshot AI released its latest open-weight model,…

[AINews] Qwen Image 2 and Seedance 2

Strong generative media showings from China

[AINews] Moltbook — the first Social Network for AI Agents (Clawdbots/OpenClaw bots)

The craziest week in Simulative AI for a while

Price Per Token may or may not be run by ClawdBot

[AINews] SpaceXai Grok Imagine API - the #1 Video Model, Best Pricing and Latency

xAI cements its position as a frontier lab and prepares to merge with SpaceX

[AINews] Moonshot Kimi K2.5 - Beats Sonnet 4.5 at half the cost, SOTA Open Model, first Native Image+Video, 100 parallel Agent Swarm manager

China takes another huge leap ahead in open models

China’s Moonshot releases a new open-source model Kimi K2.5 and a coding agent

The company said that the model was trained on 15 trillion mixed visual and text tokens.

MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5)

Kimi K2.5 is Moonshot AI''s native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.

MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking)

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift. It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behavior through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks.