Pic of Last bread = Previous Drop

Drop 1639:

SEC TEST
SEC = Securities and Exchange Commission

Sec Test:
https://t.co/jKOavMuEOH
EDGAR:
Electronic Data Gathering, Analysis and Retrieval

"Purpose" ?

increase the efficiency and accessibility of corporate filings

KEY WORD -> accessibility
"EDGAR has greatly decreased the time it takes for corporate documents to become publicly available"

Available to who ?
Public + who more specifically?

White Hats, POTUS etc. ?
"The EDGAR database can be searched using the company ticker symbol ... Most of the filings made through EDGAR are available for download or can be viewed for free. "
Section 230 in the news recently

GOOG
FB
TWTR
Message / Translation =

We know the shady activity you have been up to and how you've financed it.

DROP 596:

WE HAVE IT ALL

Coming soon to a theater near you.

FOLKS, TIME TO GET THAT POPCORN READY, BECAUSE ITS ABOUT TO HABBEN

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.