28 related articles

Moonshot AI releases Kimi K3 open-weight model with 2.8T parameters and 1M token context. Our deep dive covers coding, 3D dev, agent capabilities, and safety concerns.

A developer spent 40 hours exhausting Codex Pro's weekly quota to benchmark GPT-5.6 on real enterprise projects. Key findings: proactive root cause tracing, stronger global codebase understanding, and stable long-task execution.

Using GPT-5.6's Terra and Soul versions to fully restructure a real live product. Deep comparison of capabilities and cost-effectiveness, with practical tips on task-based model switching.

Codex merges into ChatGPT with a new Work Mode. GPT-5.6 splits into Sol (flagship), Terra (balanced), and Luna (lightweight). Full breakdown of capabilities, costs, and how to choose.

OpenAI released three GPT-5.6 models—Sol, Terra, Luna—and merged ChatGPT with Codex to launch Work mode. This hands-on review tests coding, game dev, and PPT creation, revealing one-click deployment wins alongside aesthetic and efficiency flaws.

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.

A developer deeply tests Grok 4.5 High Fast in Cursor, finding it rivals Claude Opus in quality but runs 5x faster with cleaner, filler-free output. Full hands-on review and analysis.

OpenAI releases GPT-5.6 preview with three models: flagship Soul, balanced Tara, and lightweight Luna. Based on real KingBench 3 testing, this article breaks down each model's performance on math, front-end, and agentic tasks, and compares them with Anthropic Fable.

Hands-on benchmark of GPT-5.6's three models — Sol, Terra, and Luna — covering frontend, math, and long-horizon agentic tasks. Full scores, category breakdowns, and selection guidance vs. Fable 5 and Opus 4.8.

OpenAI launches GPT-5.6 Sol/Terra/Luna, SenseNova open-sources its full multimodal training stack, Gemini adds free Study Notebooks, Apple M7 brings on-device AI to mainstream — a roundup of today's AI updates.

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
T3MP3ST: The Open-Source Framework Tha…
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.

Five major AI events on June 17, 2025: Zhipu GLM-5.2 goes open source, DeepSeek gray-tests V4 with $7B+ funding, OpenAI loses $38.5B, SpaceX acquires Cursor for $60B, and Anthropic's Claude 5 saga.

Deep dive into how DeepSWE exposes SWE-Bench Pro's data contamination and cheating issues. GPT-5.5 leads at 70%, open-source models lag far behind. Covers results, cost comparisons, and practical developer advice.

The U.S. government emergency-banned Anthropic's Fable 5 and Mythos 5 on national security grounds, with just 5 hours from notice to enforcement. Full analysis of the timeline, rationale, and industry impact.

Same coding task: Codex costs $15, Claude Code costs $155. Deep dive into the real reasons behind the 10x gap — it's not pricing, it's token volume, output style, and context strategy.

Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.

Analyzing the risks of using third-party API proxies in Cursor for GPT-5.5 and Claude Opus 4, covering data security, stability, and ban risks, plus safer alternatives.

Deep dive into Cognition's Frontier Code benchmark: why passing tests isn't enough, how six quality dimensions evaluate code, and why code quality is AI coding's next bottleneck.