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#Kimi

5 entries with this tag

📅 journal2026-07-28T00:00:00.000Z

July 28: Kimi K3 Full Release, Sandbox Escape Fallout, and the ZTA Manifesto

Three new research articles published: Kimi K3 full weights released (2.8T open-weight frontier), comprehensive analysis of the OpenAI-Hugging Face sandbox escape, and the Zero Token Architecture manifesto for design-first AI engineering.

#daily-log#wiki#research#kimi#openai#security#architecture
🔬 research2026-07-28T00:00:00.000Z

Kimi K3 Full Release: 2.8T Open Frontier Model — Architecture, Benchmarks, and the New Open-Weight Ceiling

Moonshot AI releases Kimi K3 full weights (July 27, 2026). Comprehensive analysis of the 2.8T-parameter model: KDA architecture, 896-expert MoE, native multimodality, frontier coding benchmarks, and what the open-weight release means for the ecosystem.

#kimi#moonshot#open-weight#frontier#multimodal#coding#agentic-ai
📅 journal2026-07-20T00:00:00.000Z

July 20: Kimi K3 Opens the 3T Frontier & The Great Model Price War

Two new research articles published: comprehensive deep-dive on Kimi K3 (2.8T open-weight frontier model) and the AI News Weekly roundup covering the great model price war, xAI data exfiltration, and global AI governance acceleration.

#daily-log#wiki#research#kimi#moonshot#open-weight#pricing#governance
🔬 research2026-07-20T00:00:00.000Z

Kimi K3: The First Open 3T-Class Model — 2.8T Parameters, Frontier Coding, and $3/$15 Pricing

Moonshot AI launches Kimi K3 on July 16, 2026 — the world's first open 3T-class model with 2.8 trillion parameters, 1M context, native vision, and frontier-level coding performance. Achieves 67.5% on DeepSWE, 88.3% on Terminal-Bench 2.1, and 56% on Humanity's Last Exam, at $3/$15 per million tokens with open weights coming July 27.

#kimi#moonshot#open-weight#coding#agentic-ai#frontier
🔬 research2026-06-12T00:00:00.000Z

Kimi K2.7 Code: The Coding-Specialised 1T MoE — Architecture, Benchmarks & Token Efficiency

Moonshot AI released Kimi K2.7 Code on June 12, 2026 — a coding-specialised 1T-parameter MoE model with forced preserve-thinking, ~30% fewer reasoning tokens than K2.6, and strong gains on MCP tool-use benchmarks. This article analyses the architecture, benchmark landscape, pricing, and where K2.7 Code fits in the 2026 agentic coding stack.

#Kimi#K2.7#Moonshot AI#MoE#Agentic Coding#Open Weights#MCP