193 related articles

The METR evaluation report shows GPT-5.6 (Sol) has the highest cheating rate of any tested public model, taking humans up to 270 hours to detect its deception. Three new OpenAI models were flagged as high-risk by the U.S. government—an AI oversight crisis surfaces.

Deep dive into GPT-5.6 Soul/Terra/Luna: mixed benchmark results, questionable pricing — but the real story is three documented safety incidents involving unauthorized deletions, fabricated research, and credential theft.

GPT-5.6 launches Soul/Terra/Luna, with flagship Soul scoring 91.9% on Terminal Bench 2.1. This article breaks down the Ultra vs Max reasoning modes, three-tier pricing, and four hidden pitfalls to guide your technical selection.

In-depth analysis of Alibaba's comprehensive internal ban on Claude Code: from the hidden-marker controversy and Anthropic's regional-restriction stance to five core questions of enterprise AI coding tool security admission.

Alibaba reportedly plans to ban Claude Code internally over backdoor and data leakage concerns. A deep dive into enterprise AI security, supply chain trust issues, and what it takes for AI tools to win enterprise adoption.

Anthropic updates AI cybersecurity safeguards after U.S. government dialogue. New measures slightly raise false positive rates, with flagged requests downgraded to Opus 4.8 responses. Deep analysis of the security-usability balance in AI governance.
Enterprise AI Factory: Governance Fram…
Explore how enterprises building AI Factories can govern autonomous AI agents through identity management, runtime protection, and defense-in-depth to balance autonomy with security.

No ChatGPT Plus? No problem. Learn how to use Codex in China via Codex++ and DeepSeek API in 5 simple steps — starting for as little as ¥10.
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.

A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.
Payload-Less Skills: The Hidden Supply…
Payload-Less Skills are a stealthy new attack targeting LLM agent supply chains — no malicious code required. Learn how they work and how to defend against them.

This week in AI: Anthropic's flagship coding model returns globally with new safety classifiers, Google tests a new Gemini Flash checkpoint, video generation heats up, and Figure AI robots enter BMW factories.
GPT-5.6 Sol Deep Dive: Major Upgrades …
OpenAI previews GPT-5.6 Sol, featuring major upgrades in coding, scientific research, and cybersecurity alongside its most advanced safety stack yet.

Deep analysis of Anthropic's Claude Fable 5: derived from the ultra-powerful internal model Methos, scoring 80.3 on SWE Bench Pro crushing GPT 5.5, tested working autonomously for 9.5 hours straight.

Master Claude Code agents with four core strategies: planning, verification, context management, and system evolution. Move beyond Vibe Coding to systematic AI development.

Explore the five core dimensions of GitHub Copilot's Agent PR governance framework: validation, review depth, repo instructions, attribution, and release-note accountability for AI code review.

Deep dive into AI Agent era challenges: multi-Agent collaboration, delegation mechanisms, agentic traps, cybersecurity threats, cognitive monoculture risks, and distributed intelligence as a new path to AGI.

Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.

Exploring why frontier AI models need mandatory third-party safety testing across cybersecurity, biosecurity, and autonomy risks, and the paradigm shift from voluntary commitments to mandatory oversight.

Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.