bug-bounty529
xss292
rce162
google143
account-takeover122
bragging-post118
facebook107
exploit105
privilege-escalation102
microsoft95
authentication-bypass94
open-source94
malware92
csrf88
cve76
stored-xss75
access-control75
ai-agents66
web-security65
reflected-xss63
phishing60
writeup57
input-validation52
sql-injection52
information-disclosure51
ssrf51
cross-site-scripting49
reverse-engineering49
smart-contract49
api-security48
defi48
apple47
tool47
privacy47
ethereum45
vulnerability-disclosure42
web-application40
ai-security39
opinion38
responsible-disclosure37
llm37
burp-suite37
browser37
web337
automation36
race-condition36
remote-code-execution35
lfi34
dos34
credential-theft34
0
2/10
opinion
A philosophical essay arguing that complex systems (like climate, economics, and human language) require billion-parameter AI models as theories because their true compression ratio is simply very large, unlike the elegantly compact theories that worked for complicated systems. The author contends that modern deep learning finally provides the tools to operationalize theories of complex phenomena that were previously beyond reach.
Sean Linehan
Santa Fe Institute
David Deutsch
Noam Chomsky