A recent study by the University of California, San Diego reveals that GPT4 has passed the Turing Test, with 54% of participants mistaking responses from GPT4 for human responses.
Notably, cybersecurity remains skeptical of AI's claims due to past disappointments, especially the failed promises of machine learning and user entity behavior analytics from the early 2010s to automate threat detection.
Cybersecurity challenges AI/ML as it needs to detect extraordinarily rare events, where a failure could incur high penalties, meaning the explainability of findings is crucial.
With the prevalence of cyberattacks seemingly on the rise, the rarity of these events complicates AI's grasp on security, as it tends to favor common explanations.
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