Kimi-K3/k3_tech_report.pdf at main · MoonshotAI/Kimi-K3
Open Frontier Intelligence. Contribute to MoonshotAI/Kimi-K3 development by creating an account on GitHub.
Kimi-K3/k3_tech_report.pdf at main · MoonshotAI/Kimi-K3
Open Frontier Intelligence. Contribute to MoonshotAI/Kimi-K3 development by creating an account on GitHub.
Kimi K3's weights are public. Running them is not easy. - Sensemaker
Moonshot recommends a tightly connected cluster of 64 or more AI chips.
interviews.md at main · sensemaker.computer/home
Sensemaker's home repository for public resources.
klöss on Twitter / X
let me explain what Karpathy just sharedhe’s spending way less time using AI to write code and more time using it to build personal knowledge basesthe full breakdown: → he dumps raw sources (articles, papers, repos, datasets, images) into a folder. then has an LLM organize… https://t.co/Kdq1Q48S5P pic.twitter.com/XajJKR7xgT— klöss (@kloss_xyz) April 4, 2026
Flagship Model Kimi K3 Pricing - Kimi API Platform
Kimi K3 is our flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence. The Kimi API Platform provides K3, K2.7 Code, K2.6 and other large language model APIs, supporting long context, multimodal understanding, and Tool Calling.
Kimi K3 Tech Blog: Open Frontier Intelligence
Kimi K3 is the world's first open 3T-class model — frontier performance across coding, knowledge work, and reasoning, with native multimodality and 1M context.
On Kimi K3: Its Capabilities And Related Discontents
Kimi K3 is a very good model with excellent benchmarks.
A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles
Despite rapid gains in scale, research evaluation still relies on opaque, lagging proxies. To serve the scientific community, we pursue transparency: reproducible, auditable epistemic classification useful for funding and policy. Here we formalize KGX3 as a scenario-based model for mapping Kuhnian stages from research papers, prove determinism of the classification pipeline, and define the epistemic manifold that yields paradigm maps. We report validation across recent corpora, operational complexity at global scale, and governance that preserves interpretability while protecting core IP. The system delivers early, actionable signals of drift, crisis, and shift unavailable to citation metrics or citations-anchored NLP. KGX3 is the latest iteration of a deterministic epistemic engine developed since 2019—originating as Soph.io (2019–2020), advanced as iKuhn (2020–2024), and field-tested through Preprint Watch.
Zhuokai Zhao on Twitter / X
Tons of interesting things in the Kimi K3 tech report — here are five algorithm-side techniques that I think either I've never seen before or simply deserve more attention than they're getting.1/ They open-sourced the model but kept the speculative decoding draft model, which…— Zhuokai Zhao (@zhuokaiz) July 30, 2026
[New model] Kimi K3 by ZJY0516 · Pull Request #50000 · vllm-project/vllm
Purpose add moonshotai/Kimi-K3 model support Essential Elements of an Effective PR Description Checklist The purpose of the PR, such as "Fix some issue (link existing issues this PR ...
dc: data provenance and source attribution
Part of the datacounterfactuals.org reading lists. Research on data provenance, dataset documentation, licensing and attribution audits, and technical source-attribution methods for understanding which data sources are available, permitted, or responsible for model behavior.
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Datasheets for Datasets
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
A large-scale audit of dataset licensing and attribution in AI