70 related articles

DeepSeek plans significant API price hikes, signaling the end of ultra-cheap AI. We analyze the drivers, developer impact, and industry shift from price wars to rational pricing.

Exploring an innovative approach to reverse engineering DeepSeek by directly interviewing the AI assistant, analyzing system prompt leakage, hallucination issues in model self-descriptions, and implications for AI transparency and prompt injection security.

Deep dive into DeepSeek-V4's latent space reasoning technology — how AI shifts from explicit chain-of-thought to implicit vector space reasoning, its efficiency gains, and challenges in interpretability.

A developer applied SAM3 and RTMPose to 1950s black-and-white factory footage with zero fine-tuning and got accurate results. We analyze the technical logic and implications.

A Reddit post sparks debate: users demand Kimi K3, citing DeepSeek's low prices. Deep analysis of Chinese LLM iteration speed, pricing strategies, and user loyalty.

Deep analysis of P.D.E Experiment Nº5 open-source multi-source video playback system, covering frame-accurate switching, multi-source scheduling, and TouchDesigner + generative AI workflows.

An insider's analysis of China's four AI labs — Qwen, DeepSeek, Moonshot, and Ling — revealing their distinct strategic bets on distribution, architecture, long-termism, and serving cost.

Redis creator antirez open-sources ds4, a pure C local inference engine for DeepSeek 4 Flash and PRO with native Metal, CUDA, and ROCm support, earning nearly 20K GitHub stars.

DeepSeek V4 Flash launches with benchmark scores approaching Claude Opus 4.8 at just $0.18 per million output tokens. Deep analysis of performance, pricing, and industry impact.

Deep analysis of the dilemma in AI model competition where reasoning gaps and pricing imbalances force vendors to excel at either capability or cost-effectiveness to survive.

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

In-depth analysis of DeepSeek-V4-Flash model's positioning and technical path. Exploring the lightweight trend behind the Flash naming, MLA attention, MoE architecture, and its significance for open-source AI.

In-depth analysis of DeepSeek-V4-Flash model's product positioning and technical approach. Examining lightweight trends through the Flash naming, MLA attention mechanism, MoE architecture evolution, and implications for the open-source AI ecosystem.

Deep analysis of DeepSeek V4 Flash 0731 across intelligence, performance, and price dimensions, exploring how this Chinese LLM delivers extreme cost-performance to reshape the AI industry.

Exploring why top AI startups shifted from open research to secrecy, analyzing how commercial competition and talent pressure drive this change, and its impact on academia, innovation, and open source.

Global airlines operated over 150,000 flights in a single day, setting a civil aviation record. This article analyzes the drivers, ADS-B tracking technology, high-density airspace challenges, and AI applications in air traffic optimization.

Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.

AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.

Why AI research automation looks more like data cleaning than inventing the Transformer. Exploring the value of automating 60%-80% of repetitive research work and how human-AI collaboration reshapes the research paradigm.

Moonshot AI launches Kimi K3 reasoning model with performance rivaling Claude and OpenAI's top models at one-third the price. The US-China AI gap narrows from 6-12 months to just 3 months.