Users of Anthropic’s Claude and OpenAI’s Codex are finding their access blocked while attempting to reverse engineer IoT devices, remove surveillance ads from smart TVs, or unbrick hardware abandoned by manufacturers.
Reports indicate that safety checks within Claude Code are now preventing decompilation tasks. A prominent discussion in the r/ClaudeCode subreddit states that the Reverse Engineer Anything (REA) workflow is unlikely to function with the current model. Meanwhile, a thread in the REA Discord community notes that Claude is refusing to decompile any files. On X, user log4j, who previously used Codex to reverse engineer Samsung televisions, reported having their account banned for violating rules regarding “cyber abuse.” Other individuals attempting to reverse engineer hardware or their own code have received warnings or account restrictions. The project Decomp.wtf, designed to simplify software and game reverse engineering, has also recently shut down.
As noted previously, reverse engineering has allowed users to replace manufacturer software with open-source alternatives, install new operating systems on smart TVs, convert baby monitors into assistants, and revive old hardware. The trend was initially viewed with ambivalence, but as users reclaimed control over devices that were intentionally bricked or turned into spyware, the practice appeared genuinely valuable. Consequently, major corporations have moved quickly to restrict this behaviour.
These policy adjustments suggest that large AI firms will protect the interests of other large corporations when users find ways to bypass artificial constraints placed on hardware. While AI-powered copyright circumvention is acceptable when massive companies scrape the internet to train their models, it is not tolerated when individuals use those tools to liberate their own devices. This is not the end of AI-powered reverse engineering, but locking users out of their accounts for asking AI to dissect their gadgets implies the future of the practice lies with open-weight, local, and uncensored models. This shift makes the technology less accessible to the masses and those who might benefit most.
Tarun Gogineni, an engineer at OpenAI, stated on X that account restrictions for reverse engineering should not occur. He explained that these blocks are mostly accidental results of difficult decision boundaries and that there is no prohibition against reverse engineering with Codex. He added that the issue was being fixed.
However, practitioners of AI-powered reverse engineering indicate they are moving away from big company models to alternatives where accounts will not be disabled and where workarounds for guardrails are unnecessary.
“My general experience about reverse-engineering getting blocked has been more or less 100% correlated with the ‘cyber’ category blocks I have received,” said Matt Brown, principal consultant at Brown Fine Security. He noted that the labs are likely under pressure to prevent their models from participating in criminal hacking activities, causing their cyber guardrails to err on the side of being too strict. Brown stated he is investing in hardware to stay current because frontier lab guardrails change randomly without warning. For security research and penetration testing, he does not wish to invest tooling and energy into an ecosystem that will eventually lock him out. He observed that these guardrails have arrived at the same time as open-weight models from mostly China have improved.
“My general experience about reverse-engineering getting blocked has been more or less 100% correlated with the ‘cyber’ category blocks I have received.”
Earlier this week, Brown posted a YouTube video explaining how he identified hidden Bluetooth commands in an IoT gas monitor attached to a propane tank using the open-weight model GLM 5.3. He has explained in various posts that the guardrails big companies are imposing on reverse engineering are why local AI and open-weight models are important.
AI-powered reverse engineering is not disappearing, but using the most popular frontier models from OpenAI and Anthropic for it will become much harder. It is unclear how long it will remain possible to open an OpenAI Codex window, request a smart TV on the local network, and instruct the model to install a new operating system. Moving forward, this type of work will likely require open-source, open-weight, uncensored, and local models. This is a drawback because one of the exciting aspects of the Reverse Engineer-Anything trend was how easily accessible it had become.
Last month, researchers and law professors at Cornell Tech, Columbia University, and New York University published a paper on how cheap, AI-assisted reverse engineering challenges the dominance of big manufacturers over their devices and existing intellectual property law.
“AI systems can identify hardware components, extract firmware, decompile object code, and clone entire apps,” they wrote. “The resulting struggle between technology vendors and reverse engineers will challenge a wide range of laws, including trade secret, copyright, anti-circumvention, computer misuse, and contract. The law of reverse engineering was built for a world where opening a device took time, tools, and rare expertise. That friction is vanishing as agents whittle endless, precise picks for the many little locks that fill our digital lives.”
In recent days, people have started modifying older digital cameras with new, vibe-coded operating systems. In a video about hacking old cameras, YouTuber Breno Loves Cameras explained why this is significant and why camera companies dislike it; the same logic applies to any device manufacturer.
“Camera companies have this practice of keeping features to release on newer cameras, and having distinctions [in features] in camera lines,” Breno said in one video. “This is breaking that from those big companies, which are going to lose a lot of money if this becomes a big thing.”
Through that lens, it is easy to see why big companies are protecting other big companies. People finally found a way to use AI tools that gives consumers more control over the devices they bought; it must be stamped out immediately.
“This vibe-code hacking is only called ‘reverse’ when somebody who lacks a trillion dollars is doing it,” science fiction author Bruce Sterling tweeted. “When you ‘reverse engineer’ the entire Internet Common Crawl, you just built a nice AI model.”
What it means
Consumers who wish to repair, modify, or regain control of their electronics will find the big tech stack increasingly hostile. The practical result is a migration toward self-hosted, open-weight models running locally on the user’s own hardware, removing the reliance on corporate APIs that enforce arbitrary restrictions.
