Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, preserve the exact crate construction with horizontal dark reddish-brown weathered planks, iron hardware, and three-panel layout, but replace the original text with MOONSHOT in the same hand-painted black stencil style. Place the crate on a wet concrete launch pad with grass growing through cracks, steel gantry scaffolding soft-focused in background, early morning light, photorealistic 1950s material world aesthetic.
Cursor admits its new coding model was built on top of Moonshot AI’s Kimi | TechCrunch https://techcrunch.com/2026/03/22/cursor-admits-its-new-coding-model-was-built-on-top-of-moonshot-ais-kimi/
Kimi.ai on X: “Zhilin at GTC: Introducing Attention Residuals Learning selective memory, rather than mechanically accumulating everything, is the beauty of attention. Many of you have probably read Attention Is All You Need, the 2017 Transformer paper that brought “human-like” attention into https://t.co/1coOW90s0n” / X
https://x.com/Kimi_Moonshot/status/2037010118957817988
Ksenia_TuringPost on X: “Deep transformers used to accumulate layer history. Now they are starting to retrieve from it. → @Kimi_Moonshot proposed Attention Residuals (AttnRes), driving this shift. They turn the residual stream into an attention problem. Why do we need it? Depth in Transformers mostly https://t.co/L4pMwyiRY2” / X
https://x.com/TheTuringPost/status/2037107923109953788
was messing with the OpenAI base URL in Cursor and caught this accounts/anysphere/models/kimi-k2p5-rl-0317-s515-fast so composer 2 is just Kimi K2.5 with RL at least rename the model ID
https://x.com/fynnso/status/2034706304875602030?s=20
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