330 related articles

Deep analysis of the AI model race: from parameter competition to reasoning competition, examining tiered reasoning mechanisms, benchmark limitations, and how to rationally interpret model rankings.

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.

Moonshot AI unveils Kimi K3: a 2.8 trillion parameter, 1M context, natively multimodal open model. With KDA architecture and ultra-low cost, it rivals GPT-5.6 and Fable 5, redefining AI cost-effectiveness.

In-depth hands-on review of GLM 5.2: a 753B-parameter open-source model with a 1M-token context, rivaling Opus 4.8 at about one-tenth the price. Full setup guide for Claude Code and Cursor.

Cursor's swarm experiment had AI teams implement a SQLite engine in Rust from scratch using only 835 pages of docs. All-frontier models cost $10K+, hybrid role division just $1.3K—a 7.9x gap.

Which is more cost-effective, OpenAI Codex or Claude Code? Starting from real bills, this article breaks down the billing structure, multiplier traps, and subscription limits of AI coding assistants.

A detailed walkthrough of the full Claude Code setup process, comparing AI coding tools like Cursor and Trae, and analyzing the cost and performance of models like Sonnet and DeepSeek V4 Pro.

A complete guide to installing and configuring Claude Code, comparing tools like Cursor and Trae, and analyzing the cost and performance of models like Sonnet and DeepSeek V4 Pro.

OpenAI GPT-5.6 launches Sol, Terra, and Luna simultaneously. We compare benchmarks and real-world coding tests to help you choose the right model for your needs.

How can users in China use Claude? This article deeply compares four solutions: official subscription, proxy subscription (WildCard), relay platforms (2233/0011.ai), and API aggregation (OpenRouter).

Qwen 3.8 Max has 2.4 trillion parameters and will be open-sourced. In KingBench testing it scored 81.25%, ranking second, beating Claude Opus 4.8 and trailing only Fable 5. A deep dive into its performance across 8 tests.

Alibaba's Qwen3 Max (2.4T MoE), ByteDance's Seed Audio 1.0 with precise timestamp control, and Kunlun Wanwei's Matrix-3.5 open-source world model — a deep dive into three major Chinese AI releases.

Did Claude drop ~10 benchmark points after redeployment? We dig into the safety classifier routing mechanism, Arena voting data, and developer feedback to reveal the truth.

Opus 5 moving to API billing? 5 proven tips to cut token costs by up to 80%: lower Effort Level, architect-executor split, Ponytail compression, Deep Research, and Advisor Mode — while outperforming Opus 4.8.

Bilibili creator KaterSony tests Claude Sonnet 5 across 8 real-world tasks—image recognition, 3D modeling, web generation—comparing it against GPT-5.5, Gemini 3.1 Pro, and revealing its true capability limits and cost traps.

This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.

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.

We tested GPT-5.6 Codex models Sol, Terra, and Luna on a classic candy logic puzzle. Sol scored near-perfect across HIGH and XH modes; Terra and Luna nearly failed. Here's what it means for developers.

Claude Sonnet 5 benchmarked: near-Opus 4.8 performance but poor token efficiency makes it pricier than the flagship. Full analysis of pricing, safety tradeoffs, and real-world results.

Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.