I'm back from a week at my mom's house and now I'm getting ads for her toothpaste brand, the brand I've been putting in my mouth for a week. We never talked about this brand or googled it or anything like that.

As a privacy tech worker, let me explain why this is happening. 🧵

First of all, your social media apps are not listening to you. This is a conspiracy theory. It's been debunked over and over again.

But frankly they don't need to because everything else you give them unthinkingly is way cheaper and way more powerful.
Your apps collect a ton of data from your phone. Your unique device ID. Your location. Your demographics. Weknowdis.

Data aggregators pay to pull in data from EVERYWHERE. When I use my discount card at the grocery store? Every purchase? That's a dataset for sale.
They can match my Harris Teeter purchases to my Twitter account because I gave both those companies my email address and phone number and I agreed to all that data-sharing when I accepted those terms of service and the privacy policy.
Here's where it gets truly nuts, though.

If my phone is regularly in the same GPS location as another phone, they take note of that. They start reconstructing the web of people I'm in regular contact with.
The advertisers can cross-reference my interests and browsing history and purchase history to those around me. It starts showing ME different ads based on the people AROUND me.

Family. Friends. Coworkers.
It will serve me ads for things I DON'T WANT, but it knows someone I'm in regular contact with might want.

To subliminally get me to start a conversation about, I don't know, fucking toothpaste.

It never needed to listen to me for this. It's just comparing aggregated metadata.
The other thing is, this is just out there in the open. Tons of people report on this. It's just, nobody cares. We have decided our privacy just isn't worth it. It's a losing battle. We've already given away too much of ourselves.

https://t.co/Hb7yiolQz3
"We spotted a senior official at the Department of Defense walking through the Women’s March ... His wife was also on the mall that day, something we discovered after tracking him to his home in Virginia." https://t.co/xBBiDiFHya
So. They know my mom's toothpaste. They know I was at my mom's. They know my Twitter. Now I get Twitter ads for mom's toothpaste.

Your data isn't just about you. It's about how it can be used against every person you know, and people you don't. To shape behavior unconsciously.
Apple's latest updates let you block apps' tracking and Facebook is MAD. They're BEGGING you to just press accept and go back to business as usual.

Block the fuck out of every app's ads. It's not just about you: your data reshapes the internet.

https://t.co/3ZCUELWqfA
The internet is never going to be the wacky place it was when I had a Livejournal and people shared protean gifs in the form of YTMNDs. Big business has come to suck the joy (and your dollars) out of it.

At least make it hard for them. 🪡
Oh, this post is my Twitter high score. If you like D&D consider sticking around, my account is 85% tabletop RPG development and 15% leftist politics. https://t.co/hhqtug6bu7
Plug #2: my brother @josephoforb landed a book deal for his Hollywood satire about a failed actor in a superspy franchise who is framed for murder. It is HILARIOUS. James Bond meets Avengers meets Knives Out. Preorder it. It comes out in July. https://t.co/Mx0aTwdwUm

More from All

How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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और देवर्षि नारद वहीं बैठकर तपस्या में लीन हो गए।इन्द्र नारद की तपस्या से घबरा गए।उन्हें हमेशा की तरह अपना सिंहासन व स्वर्ग खोने का डर सताने लगा।इसलिए इन्द्र ने नारद की तपस्या भंग करने के लिए कामदेव को उनके पास भेज दिया।वहां पहुंच कामदेव ने अपनी माया से वसंतऋतु को उत्पन्न कर दिया।


पेड़ और पौधों पर रंग बिरंगे फूल खिल गए और कोयलें कूकने लगी,पक्षी चहकने लगे।शीतल,मंद,सुगंधित और सुहावनी हवा चलने लगी।रंभा आदि अप्सराएं नाचने लगीं ।किन्तु कामदेव की किसी भी माया का नारद पे कोई प्रभाव नहीं पड़ा।तब कामदेव को डर सताने लगा कि कहीं नारद क्रोध में आकर मुझे श्राप न देदें।

जैसे ही नारद ने अपनी आंखें खोली, उसी क्षण कामदेव ने उनसे क्षमा मांगी।नारद मुनि को तनिक भी क्रोध नहीं आया और उन्होने शीघ्र ही कामदेव को क्षमा कर दिया।कामदेव प्रसन्न होकर वहां से चले गए।कामदेव के चले जाने पर देवर्षि के मन में अहंकार आ गया कि मैने कामदेव को हरा दिया।

नारद फिर कैलाश जा पहुंचे और शिवजी को अपनी विजयगाथा सुनाई।शिव समझ गए कि नारद अहंकारी हो गए हैं और अगर ये बात विष्णु जी जान गए तो नारद के लिए अच्छा नहीं होगा।ये सोचकर शिवजी ने नारद को भगवन विष्णु को ये बात बताने के लीए मना किया। परंतु नारद जी को ये बात उचित नहीं लगी।