bug-bounty507
xss274
rce154
google122
bragging-post119
account-takeover115
facebook111
privilege-escalation101
exploit98
malware97
authentication-bypass95
open-source94
microsoft90
csrf87
access-control78
stored-xss75
cve73
ai-agents67
web-security66
reflected-xss63
phishing60
information-disclosure52
input-validation52
sql-injection51
smart-contract49
privacy49
cross-site-scripting48
ssrf48
defi48
tool46
reverse-engineering46
ethereum46
writeup45
api-security45
ai-security41
apple40
vulnerability-disclosure40
web-application38
llm38
opinion37
burp-suite37
automation36
web336
responsible-disclosure35
credential-theft35
remote-code-execution34
supply-chain34
race-condition34
browser33
infrastructure33
0
2/10
A critical essay on how major tech companies systematically collect user data for AI training through devices like smart glasses, operating systems, and online services, often with vague consent buried in terms of service agreements. The author argues this is an inherent feature of modern AI development, not a bug, and that users should accept they have no privacy from devices they don't control.
privacy
data-collection
surveillance
ai-training
smart-devices
meta
google
microsoft
apple
terms-of-service
telemetry
consent
opinion
Meta
Facebook
Google
Microsoft
Apple
Tesla
Yann LeCun
OpenAI
Sora
Ray-Ban
Instagram
Chromebook
Windows 10
Windows 7