Hence the quirky Animal Planet threads.
2/
Why do we like blowing bubbles?
(This is not a bitcoin thread, go away)
1/
Hence the quirky Animal Planet threads.
2/
And so I started painting a picture about bubbles.
3/
And then one started flapping.
4/
And so a few more flapped.
And as is the way with exercise, certain endorphins were released
And it felt good to flap.
5/
The tree was abuzz, and the energy was bright and intoxicating.
6/
But the flapping wasn't about logic, it was about feeling good.
So the non-flappers were wrong, in a way.
7/
Except for the non-flappers, who still just ate their aphids and did their non-flappy things.
8/
But the aphids were less plentiful.
And so the flapping began to feel less good, for there was less fuel for it.
And the buzzing dimmed.
9/
While most of the ladybugs rushes around in a provisioning frenzy, the non-flappers were calm, still fat with their stored energy.
10/
Clearly non-flapping had been the prudent, safer play.
11/
Foe they also had missed out on the beautiful euphoria of the flap, stoically sacrificing it for a calmer, more serene experience over time.
Perhaps in the end such things are a matter of appetite.
12/
Stay tuned; some fun stuff lined up.
More from Travis Kimmel
More from Life
It doesn't happen because you want it to happen.
It doesn't happen because you made it happen.
It happens because you allow it to happen.
https://t.co/j5hPyw9m9m
It doesn't happen because you made it happen.
It happens because you allow it to happen.
https://t.co/j5hPyw9m9m
There is a fine line between persistence and stubbornness.
— The Irrational Investor (@position_trader) August 28, 2019
True for life, true for investing.
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The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
The story doesn\u2019t say you were told not to... it says you did so without approval and they tried to obfuscate what you found. Is that true?
— Sarah Frier (@sarahfrier) November 15, 2018
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
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.
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.
