Anthropic restricts Claude from cloning existing video games

The crackdown on AI cloning

Anthropic has introduced new safeguards into its Claude models to prevent the recreation of existing video games. This policy shift follows a significant rise in automated software piracy and intellectual property theft across the gaming industry. The company is moving to stop users from using AI to generate functional clones of proprietary software.

The update specifically targets a loophole where users could bypass restrictions by simply renaming a game or tweaking superficial assets. By adding these rules, Anthropic hopes to curb the production of 'AI slop'—low-effort, AI-generated clones that have flooded digital storefronts. The goal is to protect the commercial interests of original creators from automated duplication.

Anthropic's technical staff confirmed the update, which includes instructions to build original games or games within a genre rather than specific existing titles. Addy Osmani, a member of Anthropic's technical staff, noted that using the AI to infringe on intellectual property violates the company's usage policies. The new internal rule, flagged as 'tengu_heron_brook,' is now active in the Claude Opus 5.5 model and the Claude Code environment.

Drivers of the new restrictions

The intervention was prompted by the ease with which frontier models can now decompile compiled code. In the past year, these tools allowed hobbyists to extract and port massive franchises like *Grand Theft Auto V* and *Call of Duty* into web browsers. These capabilities even extended to console hardware, facilitating sophisticated PlayStation 5 jailbreaks.

Beyond simple piracy, the rise of AI cloning has created a dangerous environment for independent developers. Small studios have reported targeted extortion attempts where bad actors threatened to release cloned versions of private, unfinished demos. This threat has forced some developers to cancel public demonstrations to protect their commercial leverage.

The sheer volume of these clones also overwhelmed the curation efforts of major platforms like Steam. During the recent Steam Next Fest, the platform was flooded with duplicated mechanics and stolen codebases. Valve executives acknowledged this systemic issue, though they have not yet moved to ban generative coding tools entirely.

Collateral damage for engineers

While the restrictions target piracy, they are also creating significant friction for professional software engineers. Many developers report that Claude now frequently refuses to assist with standard, non-infringing tasks. The model's safety classifiers often mistake internal debugging for attempts to steal proprietary architecture.

Engineers have noted that the AI is blocking routine actions such as performing security reviews or developing anti-cheat mechanisms for their own titles. It has also refused to analyze basic Windows crash dumps, which are essential for fixing software bugs. These 'false positives' are hindering the productivity of legitimate coders who rely on AI for complex troubleshooting.

This situation highlights the difficulty of creating a boundary between helpful coding assistance and automated piracy. Because the AI's safety filters are broad, they can catch legitimate work that resembles the patterns of reverse-engineering. Developers now have to navigate an opaque set of rules that may interfere with their daily workflows.

The ethics of AI gatekeeping

The crackdown has sparked debate regarding the ethics of AI companies policing copyright. Critics point out the irony of these restrictions given that foundational models are often built on vast, unlicensed datasets. Anthropic recently agreed to a $1.5 billion settlement regarding the use of copyrighted books to train its systems.

Technical experts warn that these unilateral restrictions by Western providers might fracture the global development ecosystem. Users who require reverse-engineering capabilities for legitimate security research or software preservation may look elsewhere. They are already beginning to pivot toward open-weight models or models developed in China that lack these specific guardrails.

As the software industry adapts to generative AI, the responsibility for protecting digital property is shifting toward private AI laboratories. Anthropic's move signals a new era where model providers act as primary gatekeepers for software innovation. The long-term impact remains uncertain as the industry balances the need for protection with the desire for open development tools.