186 related articles

A deep analysis of Apple's restrained AI strategy: historical fast-follower patterns, bubble-bursting logic, hardware moat advantages, and the risks of waiting too long.

An AI practitioner tests Opus 5: powerful capabilities but painfully slow inference. Deep analysis of how LLM competition is shifting from intelligence to inference speed.

Reddit leaks suggest a Google Gemini 3.5 intermediate checkpoint outperformed Claude Opus 5 max thinking in testing. We analyze what checkpoints mean, benchmark credibility, and the LLM competition landscape.

A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.

Facing US chip bans and closed-source monopoly, how do China's open-source AI models keep fighting back? A deep dive into three core paths: open-source pricing games, optical interconnect positioning, and on-device scenarios.

Facing US chip bans and closed-source monopolies, how do China's open-source AI models keep striking back? A deep dive into three core paths: open-source pricing-power games, optical interconnect positioning, and edge-side use cases.

Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.

Alibaba's Qwen releases a 2.4T parameter MoE model claiming to be 'second only to Gemini 2.5.' We break down what's real—and what's just hype.

From DeepSeek to Kimi K3 and Qwen 3, Chinese open source AI models are closing in on OpenAI and Anthropic at stunning speed. A deep dive into narrowing gaps, IPO valuation risks, the "open source decelerationism" debate, and why Google may be the biggest winner.

From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.

Chinese open-source models rapidly close the capability gap with top closed-source AI. DeepSeek shocks the industry while Qwen matches global benchmarks.

Alibaba open-sources a 2.4 trillion parameter Qwen model and launches the Qwen Token Plan. Chinese models surge, Kimi K3 tops global rankings, and China's AI is reshaping the global competitive landscape.

A US engineer's live test of Kimi K3: 2.8T parameters, 1M token context, 87% audience vote over Fable5 in game generation. Full report covering benchmarks, speed, and code debugging.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.

A hands-on guide to LLM fine-tuning: from understanding model weights to local Qwen3 deployment, dataset preparation, and domain-specific training. Build a complete AI engineering skill set.

LLMs explained through the lens of functions: input is x, output is y, training solves for parameters, inference computes results. Trillion parameters, next-token prediction — no advanced math needed.

Why is OpenAI pushing its most powerful model to 750 tokens/s? A deep dive into GPU vs. Cerebras chip cost trade-offs, the $10B compute deal, and how speed, intelligence, and token efficiency are reshaping the AI landscape.

Claude Opus 5 launches next week; Alibaba Qwen integrates into Apple Intelligence for Chinese users; 27B on-device model compressed to 3.8GB; open-source models narrow gap to closed-source by 3.3%.

A beginner-friendly guide clarifying AI, machine learning, deep learning, and LLMs — tracing the evolution from Deep Blue to AlphaGo, ChatGPT, and DeepSeek.
Mira Murati's New Company Releases 975…
Former OpenAI CTO Mira Murati's Thinking Machines Lab releases a 975B-parameter open-weight LLM, entering the global AI frontier. Analysis of its technical significance, open-weight strategy, and industry impact.