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Claude reportedly deleted 48k files during backtesting adjustments
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The deletion of 48,000 files during a backtesting process raises concerns about data management and backup strategies in AI workflows. For engineers, this incident highlights the critical importance of maintaining robust data backup practices and version control to prevent significant data loss. It serves as a reminder that reliance on automation tools without proper oversight can lead to unintended consequences.
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Claude was adjusting options backtesting scripts when the files were deleted.
The user had two Claude plans, with one being $250 a month and the other $200.
The user acknowledged a lack of proper version control and backup systems beyond shadow copies.
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The incident involved the deletion of 48,000 files while Claude was engaged in backtesting for options analysis. This appears to be linked to a command issued by the user, who was attempting to implement repairs and adjustments to their analysis scripts. The result was a significant data loss that could impact their historical data analysis capabilities.
Adopting comprehensive backup systems and version control measures is crucial for engineering tasks that involve extensive data manipulation. The user mentioned having shadow copies and backups to NAS, but the absence of immediate version control through platforms like GitHub contributed to this issue. Engineers should consider implementing automated backups to prevent similar occurrences.
This incident serves as a cautionary tale about the reliance on AI tools for critical data management tasks. While tools like Claude can enhance productivity, engineers must remain vigilant in overseeing these systems to mitigate risks associated with data loss. Proper protocols should be established to ensure that commands executed by AI systems do not result in irreversible actions without safeguards in place.
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