Kimi Work(kimi.com)
660 points by ms7892 | 269 comments
Product page for Kimi Work, Moonshot AI's AI desktop application for knowledge work, with a download button showing it is not available for the visitor's system.
First screen, captured . Hover to scroll the page, or open the video.

Captured . Click for the whole screenshot.
660 points by ms7892 | 269 comments
Product page for Kimi Work, Moonshot AI's AI desktop application for knowledge work, with a download button showing it is not available for the visitor's system.
1981 points by vincent_s | 1153 comments
Moonshot AI's Kimi blog post announcing the Kimi K3 open frontier model; the captured page shows only the Kimi chat interface.
332 points by theanonymousone | 146 comments
Product page for a 1:1 scale Minecraft Java map of Switzerland built from swisstopo open geodata, with a free Jungfrau-Aletsch area and paid full-country download.
613 points by meetpateltech | 322 comments
Kimi blog post announcing Kimi K2.6, an open-source large language model focused on improved coding capabilities.
369 points by tknaup | 287 comments
Blog post by Tobi Knaup arguing that open-weight AI models are at a moment comparable to Kubernetes' rise, and urging the community not to squander it.
367 points by frontsideair | 241 comments
A personal blog post by a self-described LLM skeptic explaining how to download and run large language models locally on a Mac.
399 points by lappa | 136 comments
Microsoft AI Platform Blog post announcing Phi-4, a small language model specializing in complex reasoning.
244 points by dom96 | 179 comments
Blog post by Dominik Picheta introducing KillSwitch, a programming language he designed so that large language models cannot use it.
211 points by ThibWeb | 165 comments
Wagtail blog post by Thibaud Colas recounting a month of using only the open GLM 5.3 Flash model for coding, consuming 2B tokens.
747 points by wrxd | 581 comments
A closed GitHub pull request to matplotlib by user crabby-rathbun proposing to replace np.column_stack with np.vstack().T for performance.