Fetching from the wire…
Public story · 2026-08-07 · high
The reverse-engineered tool forked 462 times in two days, a 29% ratio that signals real use, not bookmarking.
Why now: The star and fork count is from August 7, 2026, two days after the repository posted.
Binaryify reverse-engineered Kimi's Slides feature into open-kimi-ppt-skill, and the project pulled 1,584 stars and 462 forks in 48 hours.
That fork ratio, 29%, is the number that matters. It means people are running the code and changing it, not bookmarking a link to Kimi's feature.
The tool outputs the same editable PPTD and PPTX files Kimi's feature produces, plus a local browser editor for adjusting slides afterward.
Forks are the tell here. Stars mean someone noticed a project; forks mean someone pulled the code and started using or modifying it. A ratio this high, about one fork per 3.4 stars, two days after posting, is unusual.
You don't need Kimi's own product to get Kimi's output format anymore. The repository doesn't say how the clone's slide quality compares to the original, so that gap is still open.
Expect this to repeat every time a lab ships a proprietary document feature. An open clone can show up within days, and the fork-to-star ratio, not the star count alone, is the number worth watching next time.
Each link below shares sources, entities, or timing with this story.
The minute Fable 5 and Mythos 5 went dark for foreign nationals, r/LocalLLaMA found its answer. Moonshot AI's Kimi K2.7 Code is a 1T-parameter MoE (32B active, 384 experts), 256K context, shipped under a Modified MIT license. The headline number that's getting it pulled: 81.1...
Cursor shipped Composer 2 on March 19, marketing it as a proprietary in-house model. Within 24 hours, a developer found the API routing to kimi-k2p5-rl-0317-s515-fast. The model powering the most-hyped coding tool update of the month was Moonshot AI's Kimi K2.5 with continued...
OSTP Director Michael Kratsios posted July 22 that Moonshot built "a sophisticated internal platform to conduct large scale distillation against U.S. models," switching access methods to avoid detection, and acquired GB300-equipped servers plus GB300 access in Thailand. TechCr...
The file is 1.56TB. That's the first thing you notice about the moonshotai/Kimi-K3 Hugging Face repo that went live today. 2.8 trillion total parameters, 104B activated, 896 routed experts with 16 selected plus 2 shared per token, 93 layers split 69 Kimi Delta Attention and 24...
Moonshot AI replaces standard fixed residual connections with softmax attention over preceding layer outputs. Already in production at 48B scale (Kimi Linear). Consistent scaling improvement validated across model sizes. 1,330 HuggingFace upvotes. Source
The assumption that proprietary models own the coding benchmark crown just broke. Moonshot AI's Kimi K2.6 leads on 5 of 8 major agentic coding benchmarks while being the only open-weight model in the top tier. SWE-Bench Pro: 58.6% vs GPT-5.4's 57.7% and Claude Opus 4.6's 53.4%...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.