Anyone who looks into the camera like this is insane, 99% a maladjusted narcissist. Autoplaying videos on a website is terrorism

If you pay attention you can tell that she's looking at herself on the screen & not actually you, the audience, as it's supposed to look like on your end. You can deduce this but thinking about it for all of one second, or, you can notice how she has to keep herself from smiling
Anyone who can look or act "normal" while looking at their own reflection in real time, is fucking nuts. Someone who gets off on it, while also being conscious that this should be hidden, but then does it anyway? Extremely nuts & also willingly deceiving on a personal level
Knowingly being filmed/mirrorrd/recorded is physically instinctively unpleasant and it fucks with your self-relation. What the camera does is make it impossible to be yourself, because immediate distinction between self and world is shattered.
The moment the camera is turned on, you are no longer "acting" in the philosophical sense, directly engaging with whatever is it, the world - you are "acting" in the theater sense. It is instrumental and necessary, there is no way out of it. Being observed changes being,
Changes behavior. And observing self, observing being observed, that's on a primal level dissociative. The human, genuine, honest reaction to this is madness: the Mike ma scream, Sam hydes whole thing, all of "funny internet videos".
What's so disastrous about this trend of short annoying nagging bitch infomercials that's being promoted across the board is that it's literally evil. Before she's said a word, she's already lying to you. The genre is lying to you. The medium is the message

More from All

Master Thread of all my threads!

Hello!! 👋

• I have curated some of the best tweets from the best traders we know of.

• Making one master thread and will keep posting all my threads under this.

• Go through this for super learning/value totally free of cost! 😃

1. 7 FREE OPTION TRADING COURSES FOR


2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING

Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX


3. 12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.


4. Curated tweets on HOW TO SELL STRADDLES.

Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on
APIs in general are so powerful.

Best 5 public APIs you can use to build your next project:

1. Number Verification API

A RESTful JSON API for national and international phone number validation.

🔗
https://t.co/fzBmCMFdIj


2. OpenAI API

ChatGPT is an outstanding tool. Build your own API applications with OpenAI API.

🔗 https://t.co/TVnTciMpML


3. Currency Data API

Currency Data API provides a simple REST API with real-time and historical exchange rates for 168 world currencies

🔗 https://t.co/TRj35IUUec


4. Weather API

Real-Time & historical world weather data API.

Retrieve instant, accurate weather information for
any location in the world in lightweight JSON format.

🔗 https://t.co/DCY8kXqVIK
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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