413 related articles

NVIDIA CEO Jensen Huang defends open-source AI, calls distillation legitimate learning, praises DeepSeek and Kimi, and co-signs open letter with 20+ companies while OpenAI and Google stay silent.

Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.

Explore Gemini 3 Flash's core capability: extracting real textures from photos to generate design assets, helping designers and developers build custom creative tools.

Google rolls out upgraded 3.6 Flash and 3.5 Flash-Lite models. Learn about the Flash series' positioning, upgrade highlights, and value for developers.

Detailed look at the Ideogram 4.0 mixed turbo workflow: RTX 4090 inference in just 15 seconds, rivaling Krea2 speed, with stable output up to 8K resolution.

Detailed look at the Ideogram 4.0 mixed turbo workflow: RTX 4090 tested at just 15s inference, matching Krea2 speed with up to 8K resolution output.

Reddit leaks Gemini 3.6 Flash model. The word 'frontier' suggests Google DeepMind is bringing cutting-edge capabilities to the lightweight Flash branch.

Alibaba's next-gen Qwen, DeepSeek V4 GA, and Zhipu's new GLM are all nearing release. Explore the latest progress, hands-on results, and distillation controversy of China's top LLMs.

Redis creator antirez built DS4 "Dwarf Star," a pure-C inference engine, using asymmetric quantization to compress DeepSeek V4 Flash from 500GB to 80.8GB for local 128GB unified-memory deployment at 26.7 tokens/sec.

Redis author antirez built the pure-C inference engine DS4 "Dwarf Star," compressing DeepSeek V4 Flash from 500GB to 80.8GB via asymmetric quantization for local deployment on 128GB unified memory at 26.7 tokens/sec.

Moonshot AI, Alibaba, DeepSeek, and Meituan all crossed the trillion-parameter threshold. China's open-source LLMs made the B-to-T leap in just 18 months.

Frontier AI is going general: costs are dropping, general models are beating specialized ones in math and competitive programming, and multi-agent workflows are maturing fast.

Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.

A hands-on case study: using Claude Code and the LVGL graphics library to build a Tetris game running on an embedded dev board from scratch in under 3 hours.

Qwen launches a massive open-weight model, DeepSeek V4 priced at $0.0028/M tokens, Kimi K3 hits compute limits — Chinese AI labs are aggressively disrupting OpenAI and Anthropic's frontier model dominance.

Alibaba Qwen 4, DeepSeek V4, and Zhipu GLM's next-gen models are all nearing release. A deep dive into the latest leaks, capability improvements, and timelines for these three Chinese AI flagships.

A deep dive into Agent Tuning: from LLM hallucination and staleness issues to RAG vs. Agent architecture, the 4-step fine-tuning process, and cost analysis for building your own AI agent.

DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.

Real Reddit user rants reveal AI subscription pain points: Claude, Sol, and other tools consume usage at wildly different rates—does faster mean pricier? A deep dive into AI billing logic, usage transparency, and platform trust.

Qwen next-gen (KLab), DeepSeek V4 GA, and Zhipu GLM's new version are all in testing simultaneously. A deep dive into the latest developments and tech trends.