190 related articles

A 15-year-old trained Tiny-MoE, a 200M-parameter MoE language model from scratch using free Kaggle GPUs, featuring MLA attention, RoPE+YaRN, and native PyTorch.

In one week, OpenAI, xAI, Google, and Microsoft all cut AI prices, driving near-frontier inference costs sharply lower. Meanwhile, Microsoft Copilot's paid conversion across 450M seats is under 4.5%, exposing the monetization challenge of general AI assistants.

OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.
AI Costs Out of Control: Real-World St…
More enterprises are finding AI operational costs spiraling out of control. This article dissects token billing traps and blind flagship-model use, and maps out cost-reduction strategies like model routing, open-source self-hosting, and semantic caching.

In-depth analysis of Tencent's open-source reasoning model Hunyuan HY3: MoE architecture, 295B total params, Apache 2.0 license, coding & front-end rivaling DeepSeek V4 Pro at 1/35 the cost.

A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.

A comprehensive analysis of GPT-5.6: the Sol/Terra/Luna product-line positioning, MoE architecture, 1.5M token context, coding agent benchmarks, and the shift from Chatbot to Agent.

A real-world review of subscribing to Cursor, Claude Code, Codex, and Opencode simultaneously. Compare quotas, model capability, and value to find your ideal AI coding subscription.

Meta's new-generation in-house AI chip enters mass production in September, using a modular design to cope with rapid AI evolution. A deep dive into the cost logic, inference optimization, and market impact on NVIDIA.

OpenAI launches the GPT-5.6 model family (Sol/Terra/Luna) and ChatGPT Work, enabling automated financial analysis, local file operations, Codex coding, and cross-app workflows—AI officially becomes a real work partner.

DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.

1X releases a new robotic hand for the NEO humanoid robot—25 DOF, force transparency, and tactile skin enabling data self-labeling. OpenAI launches the three-tier GPT-5.6, boosting coding and cost-efficiency. Hardware and AI brains evolve together, accelerating humanoid robot commercialization.

The explosive expansion of AI data centers is voraciously consuming electricity, directly driving up U.S. manufacturing energy costs. This article dissects the crowding-out effect and the path forward.

OpenAI released three GPT-5.6 models—Sol, Terra, and Luna—covering everything from flagship reasoning to lightweight speed. A deep dive into their positioning, performance differences, pricing, and industry signals.

In-depth analysis of OpenAI's GPT-5.6: Sol, Terra, Luna pricing, Cerebras inference advantages, and how OpenAI and Anthropic navigate government regulation amid US-China AI competition.

In-depth hands-on review of Zhipu AI's flagship GLM-5.2: a 1M-token context window and API pricing just one-fifth of GPT/Claude. Covers website building, Chrome extensions, 3D game cloning, and agentic workflows.

Tencent Hunyuan Hy3 launches with a 295B MoE architecture activating just 21B params and 256K context. Hallucination cut from 12.5% to 5.4%, MRCR nearly doubled, with MTP and EAGLE decoding and Day-0 SGLang support.

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

A deep dive into DeepSeek Coder V1 to V2: MoE architecture, 128K context, 90.2% HumanEval pass rate, and how it became the first open-source model to beat GPT-4 Turbo.

Tencent open-sources Hunyuan V3: 295B MoE model with 21B active params, claims to beat DeepSeek-V4-Pro. Supports FP8, vLLM/SGLang — but 256K context and no multimodal are key drawbacks.