173 related articles

An indie dev attempts to train a CPU-native LLM on $0 budget using ternary quantization, sparsity, and fine-grained MoE — with pre-registered success criteria and full public reporting.
Tech FrontiersDeep dive into StepFun AI's Step 3.7 Flash, a 198B sparse MoE vision-language model with 256K context and 3-level reasoning, excelling in multimodal understanding, AI coding, and Agent tool orchestration.

Deep analysis of the real cost of serving a 2.8 trillion parameter model. From MoE sparse activation to batching scale effects and inference optimization, revealing why model size and serving cost are less correlated than assumed.

A systematic learning path for understanding the Kimi K3 technical report, covering MoE, MLA, distributed training, and modern post-training techniques.

DeepSeek V4 Flash model weights reportedly open-sourced. This article analyzes its lightweight positioning, open-weight value, comparisons with closed-source models, and deployment guidance.

Running Kimi K3 with 29GB RAM at just 0.5 tok/s. An in-depth analysis of extreme quantization techniques, performance trade-offs, and the impossible triangle of local LLM deployment.

Running Kimi K3 with 29GB RAM at just 0.5 tok/s. A deep analysis of extreme quantization techniques, performance trade-offs, and the impossible triangle of local LLM deployment.

OpenAI launches GPT-5.6 with 80% price cuts on its Luna model series, surpassing DeepSeek on the price-performance curve. Analysis of the tech logic, developer impact, and AI price war trends.

OpenAI releases GPT-5.6 with 80% price cuts on Luna models, overtaking DeepSeek on price-performance. Analysis of the tech logic, developer impact, and AI pricing trends.

OpenAI announces GPT-5.6 Luna 80% cheaper, Terra 20% cheaper, targeting Gemini Flash. Analysis of the AI price war's business logic, Google's moat, Microsoft's hidden gains, and open-source impact.

OpenAI releases GPT-5.6, targeting the price-performance frontier. Analysis of how architectural optimization and inference efficiency reduce costs, and how LLM competition shifts from capability to cost efficiency.

Google launches Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber—three new models targeting quality-cost balance, extreme affordability, and cybersecurity specialization for AI Agent use cases.

Starting from a viral Reddit meme, we dive deep into AI neural network weights — what they are, why they can't be read visually, and how open weights drive technological democratization.

Real-world comparison of Kimi K3 vs Claude flagship across e-commerce pages, 3D fighting games, and flight simulators. Kimi K3 delivers 90% output quality at 1/8 the price with faster speeds and local deployment support.

Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.

Complete guide to configuring Kimi K3 as a Claude Code sub-agent, including API setup, YFlow workflow building, and head-to-head comparison with GPT-5.6 and Claude Fable 5.

Kimi K3 hands-on review: Moonshot AI's 2.5T parameter MoE model matches Claude in coding, surpasses it in 3D game development, with API pricing at one-tenth the cost of competitors.

Hands-on review of Kimi K3, Moonshot AI's latest 2.5T parameter MoE model. Coding ability ties with Claude, surpasses it in 3D game dev, with API pricing at one-tenth of competitors.

Moonshot AI launches Kimi K3 with 2.8 trillion parameters and 1M token context. Google delays Gemini 3.5 Pro, AI coding tools upgrade collectively as competition shifts to coding and Agent capabilities.

Moonshot AI's Kimi K3 launches with 2.8 trillion parameters, tops LMArena frontend coding leaderboard as world #1, completing tasks at one-third competitors' cost. Fully open-source for commercial use.