bug-bounty487
xss244
rce122
bragging-post119
account-takeover104
open-source92
google90
authentication-bypass87
privilege-escalation86
csrf81
facebook76
stored-xss75
access-control71
ai-agents67
malware66
microsoft65
web-security64
reflected-xss63
cve53
input-validation51
phishing51
sql-injection50
exploit50
smart-contract49
defi48
cross-site-scripting48
privacy47
tool46
information-disclosure46
ethereum46
ssrf44
api-security43
vulnerability-disclosure39
reverse-engineering38
web-application38
llm37
burp-suite37
opinion37
ai-security35
automation35
dos34
responsible-disclosure34
html-injection33
web333
infrastructure33
smart-contract-vulnerability33
writeup33
cloudflare33
idor32
apple32
0
2/10
A critical analysis rejecting vague claims about generative model utility, proposing a scientific framework based on three factors: encoding cost, verification cost, and task process-dependency. The author argues most current generative AI deployment lacks rigorous justification and predicts usefulness decreases with task complexity.