How a $2 AI Test Rediscovered the Bug Behind a $100M Bitcoin Theft

What happened

A $2 artificial‑intelligence test using the GLM model discovered the software bug that allowed a major Bitcoin theft, confirming the flaw that let thieves move the stolen coins.

Confirmed

Global impact / market context

Finding the bug shows that cheap AI experiments can reveal hidden security weaknesses in crypto systems, prompting wallet developers to improve safeguards and investors to reassess risk of digital‑currency holdings in the broader financial ecosystem.

Analyst inference

The bug discovery follows a series of high‑profile crypto hacks, and investors are closely watching how such low‑cost AI checks might prevent future losses, potentially affecting confidence in Bitcoin and related digital‑asset platforms overall market.

Analyst inference

What to watch

1. Regulators could propose mandatory security‑audit requirements for crypto custodians after the bug’s exposure, which would increase compliance costs and may reshape how exchanges secure digital assets. Proposed
2. Crypto firms might adopt comparable $2 AI testing methods to scan their code, potentially boosting demand for affordable AI security tools and reducing future theft risk. Analyst inference
3. Investors will likely track any new disclosures of similar bugs, as repeated findings could erode confidence in Bitcoin’s security and influence price movements of related tokens. Analyst inference

Affected assets

• GLM — Golem
• BTC — Bitcoin

Evidence

• coindoo.com