The Night of the Short Fingers saw many of the US's largest tech companies blocking Trump and trumpist platforms like Parler, provoking a storm of punditry about What It All Means for the tech companies to have taken this content moderation step.

1/

The best expert I know on the subject is @jilliancyork, my @eff colleague. She's published "an ongoing list" of "everything pundits are getting wrong about this current moment in content moderation."

You should read it.

https://t.co/KQFWQfXueM

2/
Here's some highlights:

“Deplatforming Trump sets a precedent."

York: "The only 'precedent' set here is that this is indeed the first time a sitting US president has been deplatformed by a tech company."

3/
But political leaders around the world have already received this treatment: Lebanon, Burma, etc. Even the reach of the deplatforming is nothing new: last summer's US Iran ban saw blocks of everything, up to and including Etsy listings for "Persian dolls."

4/

More from Cory Doctorow #BLM

I've just read one of the most lucid, wide-ranging, cross-disciplinary critiques of cryptocurrency and blockchain I've yet to encounter. 1/


It comes from David "DSHR" Rosenthal, a distinguished technologist whose past achievements including helping to develop X11 and the core technologies for Nvidia.

https://t.co/tkAMShno4k 2/

Rosenthal's critique is a transcript of a lecture he gave to Stanford's EE380 class, adapted from a December 2021 talk for an investor conference. 3/

It is a bang-up-to-date synthesis of many of the critical writings on the subject, glued together with Rosenthal's own deep technical expertise. He calls it "Can We Mitigate Cryptocurrencies' Externalities?"

The presence of "externalities" in Rosenthal's title is key. 4/

Rosenthal identifies blockchainism's core ideology as emerging from "the libertarian culture of Silicon Valley and the cypherpunks," and states that "libertarianism's attraction is based on ignoring externalities."

This is an important critique of libertarianism. 5/

More from History

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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.
Nano Course On Python For Trading
==========================
Module 1

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This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.