54 related articles

OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.

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.

OpenAI releases the GPT-5.6 series (Sol/Terra/Luna), with flagship Sol directly handling smaller model Luna's post-training—marking recursive AI self-improvement in practice. A deep dive into performance, cost, ChatGPT Work, and computer use design leaps.

xAI releases Grok 4.5, purpose-built for coding agents. 80 TPS speed, $2/M input tokens, SWE Bench Pro score of 64.7, and 4.2x better token efficiency than Opus 4.8. A deep hands-on review.

Developer Theo spent ~$200K over 6 weeks testing GPT-5.6 across 67 projects — from 20-hour autonomous coding runs to fixing boot partitions and Rust rewrites.

Zhipu's GLM-5.2 is now fully available to Coding Plan users with long-context support and dual reasoning tiers. Meanwhile, Anthropic faces U.S. export controls and OpenAI is under multi-state investigation.

OpenAI's GPT-5.6 preview introduces So, Terra, and Luna. All three score perfect marks on long-horizon agentic tasks, with Terra priced 50% below GPT-5.5.

A senior developer's 24-hour deep test of Grok 4.5: a 1.5T-param MoE model at $2/M input tokens, with coding benchmarks rivaling GPT-5.5. Real performance, token efficiency, and limits explained.

OpenAI previews the GPT-5.6 series — Soul, Terra, and Luna — with a massive 1.5M-token context. In-depth analysis of coding leaps, the Fable 5 national security game, the heating U.S.-China AI race, and workflow economics.

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.

How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.

Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.

Fable 5, an AI storytelling platform, opens to all paid users and sparks debate on Hacker News. We analyze AI creation tools' practicalization trend across product positioning, competition, and access strategy.

Explore the core features and use cases of the free Mermaid Diagram Editor. Supporting flowcharts, sequence diagrams, Gantt charts and more, it follows the 'diagrams as code' philosophy to enable version-controlled technical documentation for developers and architects.

Anthropic's Boris Cherny and Cat Wu discuss how Claude Code expanded from engineering teams company-wide, the Claude Tag platform strategy, and the launch of Claude Fable 5.

Zhipu GLM-5.2 launches with tiered thinking and long-context support, while Anthropic faces rare U.S. export controls over AI security vulnerabilities. Full breakdown.
Building a Coding Agent with LLM: A De…
Simon Willison built llm-coding-agent — an open-source Claude Code-style agent — using just two prompts and TDD. Explore its tool design, bootstrapped dev process, and real-world test results.

GitHub Trending July 5: Claude Code Skill ecosystem explodes, AI pen-testing tool Strix gains +2137 Stars, and local-first privacy apps surge.

Deep analysis of multi-agent system cost optimization: why the 'expensive commander + cheap workers' combination outperforms all-frontier fleets, covering decision-intent cost logic and Sonnet 5 tokenizer traps.

Anthropic never released a Claude Fable 5 model. This article analyzes fake AI promotions, exposes wrapper service scam tactics, and provides tips for verifying AI claims.