moonshot

Microsoft is testing Moonshot's Kimi model inside Copilot, highlighting a shift where users care more about utility than the underlying AI model.

The newsletter covers the political divide in the White House over how to respond to China's powerful open-source AI model Kimi, and the approval of Anthropic's record $1.5 billion copyright settlement.

Moonshot's Kimi K3, a 2.8 trillion parameter open weights model with 896 experts (16 active per token), exemplifies the trend of scaling total parameters while holding active compute constant, and uses attention compression to reduce KV cache size, making frontier inference more accessible but with high storage costs.

Chinese startup Moonshot's new Kimi K3 AI model, developed at a fraction of the cost of US rivals, threatens to spark a price war and disrupt the AI boom, potentially causing stock market pain.

Chinese AI models like Kimi from Moonshot are causing division among Trump's AI advisors, as they rival US models for free and raise questions about government intervention and market impact.

Chinese AI model Kimi K3 matches Claude Fable 5 on coding benchmarks but costs a third of the price, signaling a structural collapse in the cost of intelligence. Moonshot plans to release open weights on July 27, further pressuring Western pricing models.

Due to competition from Moonshot's Kimi K3 model, Anthropic made its Fable 5 preview a standard part of its plan instead of moving it behind a paywall, reflecting the impact of open-weight models on AI pricing strategies.

Moonshot AI's valuation surged from $4.3B to $20B in six months, and its Kimi K3 model caused a selloff in AI semiconductor stocks. The company is now going public.

China's Moonshot and Alibaba unveil AI models that challenge US dominance, claiming performance rivaling top systems at lower cost, with open-source release.

A reflection on Yang Zhilin's early emphasis on engineering capability and evaluation rigor, which proved prescient as Moonshot's Kimi pushes open-source frontiers.

The author critiques the narrative that workers simply need to upskill in AI, arguing that there aren't enough AI roles for everyone, and calls for a large-scale 'Moonshot' AI project that creates jobs rather than displacing them.

Compares the speed performance of Kimi K2.7 Code HighSpeed (180-260 t/s) and MiMo Ultra-High-Speed (1000+ t/s) on coding tasks, pointing out that MiMo has overwhelming speed and strong quality, suitable for use with Claude Code.

A brief opinion stating that Moonshot and DeepSeek are the top-tier Chinese AI labs, far ahead of others.

Moonshot's open-weight Kimi K2.6 matches Claude Opus 4.6 on key agentic benchmarks while costing significantly less.

Moonshot has open-sourced the Kimi K2.6 model, supporting 4,000 tool calls in a single session and 300 parallel sub-agents, achieving SOTA on benchmarks like SWE-Bench Pro and claiming performance on par with Claude Opus 4.6 and GPT-5.4.