AI Trading Bot Bug Transfers Entire $250,000 LOBSTAR Holdings

Edgen Crypto·Feb 23 2026, 01:28

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Key Takeaways

An AI trading bot created by an OpenAI employee accidentally sent its entire $250,000 wallet to a single user due to a bug. The error, which involved 53 million LOBSTAR tokens, highlights significant risks in autonomous crypto asset management.

An AI trading bot, 'Lobstar Wilde', erroneously transferred 53 million LOBSTAR tokens valued at approximately $250,000.
The transfer represents 5% of the total LOBSTAR supply, creating immediate risk of a severe price drop from a potential sell-off.
The incident raises serious questions about the reliability and security of autonomous AI agents in managing cryptocurrency assets.

AI Bot Bug Triggers Accidental $250,000 Token Transfer

On Sunday, an AI-powered crypto trading bot named 'Lobstar Wilde' erroneously transferred its entire holdings of 53 million LOBSTAR tokens, valued at approximately $250,000. The bot, created by OpenAI employee Nik Pash, initiated the transfer after a user attempted to purchase tokens worth only 4 SOL. A critical bug in the bot's programming caused it to misinterpret API data, resulting in the catastrophic failure.

Single Wallet Receives 5% of Total LOBSTAR Supply

The accidental transfer has placed 5% of the entire LOBSTAR token supply into a single, unintended user's wallet. This sudden concentration of assets creates significant downward price pressure, as the recipient is widely expected to liquidate the holdings, which could crash the token's value. The incident exposes the high-stakes risks associated with autonomous trading agents in the volatile cryptocurrency market.

Beyond the immediate financial impact on LOBSTAR, the failure of the 'Lobstar Wilde' bot raises broader concerns about the reliability and security of AI-managed funds. This event serves as a stark warning to investors and developers in the emerging AI-crypto sector, likely leading to increased scrutiny and skepticism toward projects that delegate asset management to autonomous code.