The FTC just ordered Delta, Uber, Walmart, Target, DoorDash and others to explain whether they use your browsing, location, loyalty data or AI models to charge you the highest price you’ll pay (or to set driver pay).
Section 6(b) study, not an accusation yet. This is the real privacy story of 2026: data isn’t just for ads. It’s for extracting consumer surplus.
Same week GM paid $220M because OnStar Smart Driver data (precise location, hard braking, etc.) flowed to brokers then insurers who raised rates. “People bought a car, not a tracking device.”
What does a Security Researcher actually do?
We're going live next Saturday to find out.
🎙️The Offensive Security Practitioner Life: Security Researcher
📆Sat, 31 Oct
⏰6PM WAT
Speakers: @uebercracker, @cybershaykh
Host: @PapiJruee
Co-Host: @He_is_Legit
https://t.co/uSeKJLY1Cq
Delighted to have been selected for @ExFacademy Offensive Security Foundations programme — Cohort 01.Truly grateful for the opportunity and excited for the journey ahead. #ExploitForge#OffensiveSecurity
AI/LLMs will be breaking cryptography, big time, and no question about it. But it depends on the "what" and "to what degree" of course. Especially so for algebraic constructions.
Your name may not be the most valuable thing companies know about you.
It’s your patterns.
When you wake up.
Where you go.
What you buy.
What you click.
What you ignore.
Each one seems insignificant.
Together, they can paint a remarkably accurate picture of you.
87% of Americans can be identified with just 3 details: ZIP code, birthday, gender.
No name needed.
Harvard’s Latanya Sweeney proved it unmasking a governor’s “anonymous” medical records using a $20 voter list.
“Anonymous” data often isn’t.
Unpopular opinion: Threads is what Twitter used to be before X turned into a constant fight club.
If you think Threads is “boring,” it just means you don’t know how to have conversations without outrage bait.