This interview from @OSchiffey has great quotes that directly refute the nonsense that many privacy advocates spout about how the death of cross-site tracking will help ad-supported publishers on the open web. https://t.co/bj1gWPKOei 1/

The interview is with a senior leader at a major global ad agency. Someone who actually knows what advertisers are talking about, where they are directing their spending, and what the future trends will be. Not a privacy advocate who knows nothing about the advertising market 2/

First, privacy advocates spread misinformation and bad research data that ITP hasn't hurt publisher revenue and/or hasn't affected advertiser spending. And yet here is an unequivocal answer as to the impact of ITP on advertiser spending. 3/

The agency exec also clearly shares the opinion that the end of 3PC will push money away from the open web, exactly what privacy advocates claim won't happen. 4/

She also talks about how context matters, but so does audience. Audience targeting is effectively dead without 3PC and non-Chrome browsers are doing nothing to change this. 5/

One of my purposes for 2021 is to simplify Docker for beginners.

Let's start with some definitions:

🏠Docker host
⚙️Docker engine
❓ Docker client
📝Dockerfile
📑Docker Image
🐳Docker Container
🐙Docker Compose
🪣 Docker Registry
🐳🐳🐳Docker Swarm

Definitions Below 👇

🏠Docker (Active) Host

A computer with Docker installed and the daemon running.

It can process Docker and non-Docker workloads.

⚙️Docker Engine

A Client-Server application. It has 3 components:

- "daemon process": A server that is a type of long-running program.

- "Rest API": to specify interfaces that programs can use to talk and interact with the daemon.

- "CLI": A command-line interface client

❓Docker Client

It sends commands to dockerd, using the Docker API.
It can communicate with multiple daemons.

📝Dockerfile

It's a text document that contains all the commands a user could call on the command line to assemble an image.

With Parler down, there are going to be a ton of white supremacists switching to (or back to) @Telegram, a company that has sheltered some of the worst, most explicitly pro-terror Nazi groups for years now.

RT to tell @apple & @google to KICK TELEGRAM OFF their app stores, too.

Or, Telegram can actually enforce its terms of service.

But I am watching tons of Nazis thrill to the idea of mass murder on there.

They're emboldened, and @Telegram gives them a place to recruit, radicalize, and plan to kill people.

Parler was bad, but Telegram is the absolute wild west.

I've watched actual terror plots unfold there.

It's where they share printable gun plans and bomb how-tos.

It's where they discuss targets and share vicious, gory murder videos of minorities they don't like.

And I would also add, deplatforming the less dark-webby extremism platforms like Parler ALWAYS means a temporary influx to these more extremist, darker-webby platforms.

We saw it after 8chan, too.

It was necessary, it immediately and overwhelmingly cut down on successful deadly terror, but in the very short term I watched numbers swell in overtly terror Nazi channels as more radicalized/edgelors 8chan folks sought a new home.

I'm going to tell you a little bit how we work on features at GitHub. It's simple, but very powerful in my opinion. At GitHub we have a high performance culture.

We are deploying changes almost all the time while keeping the service running and the deployment failure ratio needs to be super low! We are constantly working on new medium/big features, we have frequent deploys and required peer reviews.

How do we know that big features are not conflicting with each other in functionality and in version control. How do we merge the work done in these non-trivial features? How do we do prevent peer reviews slow down our productivity?

With basically two things: split the work in small batches and feature flags. We don't have long-lived feature branches. We do very small changes all the time and deploy them.

We could split a feature in tens or hundreds of PRs, but until it is beta or GA, we don't expose it to users by using feature flags.

Dear journalists, venture capitalists, TikTok teens and other ThinkFluencers: before hot-taking on how to regulate online speech, please consider reading some of the foundational work in this area.

Start with @Klonick's groundbreaking

Follow with @daphnehk on the overall regulatory structure of online

Read @jkosseff's book before ever typing 2-3-0 on your

Read @evelyndouek on the risks of coordinated

Pre-order @jilliancyork to understand the global human-rights

Affidavit by former head of IT for large Italian defense contractor admitting he uploaded instructions through military satellite to Frankfurt to flip votes from Trump to Biden on election night under direction of US persons. Willing to testify.#ItalyDidIt

Porting vanilla (minimal external API usage, no SIMD, no threading) C++ code to work in the browser with emscripten and WebAssembly is amazingly simple now. The Emscripten docs are excellent, but here are some things that could speed up the process of getting started:

1. Beware of code which does unaligned memory reads/writes (which "may be slow on some CPU architectures")
2. Test with -fsanitize=undefined -fsanitize=address
3. Link with "-s ALLOW_MEMORY_GROWTH=1" and "-s INITIAL_MEMORY=X", X is a multiple of 64k, allows the C++ heap to grow.

(I completely avoid unaligned memory reads/writes because when compiled to asm.js they "can fail silently".)

4. Link with "-s MALLOC=emmalloc" to reduce compiled size.
5. I usually test with -O1 because -O0 can take very long to load/execute.
6. For debugging link with -s DEMANGLE_SUPPORT=1 and -s ASSERTIONS=1

7. C++ printf() outputs to the Developer Console: Chrome Settings->More tools->Developer tools
8. If something crashes, try running in Firefox which may explain the error differently.
9. I use Web Server for Chrome for

THREAD: Now that @Amazon @awscloud has announced they will no longer host @parler_app, many have speculated that they will just “find another host.”

Here is why that’s not so simple and what it will likely mean for the app’s future. First, let’s look at where things are...

2/ Google and Apple have removed the app from their app stores, effectively terminating growth on mobile devices. People can still access the (not good) web UI until Amazon terminates them today. CEO Matze has said they may be down “up to a week” while they find new hosting.

3/ Translated to English, that’s code for “we have no idea what’s going to happen next.” No US cloud provider (Microsoft, Google, IBM, Digital Ocean) is likely to touch this, as it could be seen as providing material support for sedition. No CEO or counsel wants to get near this.

4/ They could potentially “roll their own” data center by buying servers and putting them in a co-location facility. But that’s a single point of failure, and many colo providers would be just as likely to decline their business. It would be hard and risky to pursue this.

5/ Imagine, after they sweated like pigs to get this hardware all setup, if they get told their colo provider is booting them. That’s a lot of metal to then move somewhere else. Meanwhile, the user base is deteriorating because chaos and dying apps. They will go to other venues.

Transgenderism resembles a mass psychogenic illness that has spread thanks to the internet. If there were no Tumblr identity fluidity nonsense, and if Reddit and YouTube had never existed, most “trans” people would not have landed on “gender” as the source of their ills.
1.

It is handed to them in the same way religion is handed to children. Thoughts and ideas are set before them, and they have brought these thoughts and ideas to live in themselves. Without the Internet, their feelings of dis-ease would have found a different explanation.
2.

These ideas became a framework for self-understanding, a map that instructs their actions, a vocabulary that programs their tongue. The pursuit of identity was the task, the online bubble its surrogate. They were commanded by it, and it gave their lives purpose and meaning.
3.

It had benefits. It catered to vanity. Social adulation arrived with each new step. This is why they so fiercely cling to it, since any conceptual breakdown would shatter the world they’ve built, which has been buttressed and fortified through these concepts – these errors.
4.

Its appeal first came as an escapist fantasy for the dysmorphic and disenchanted. Unbound from the meanings thrust upon them by others, they could instead become self-creators. They imbibed the dogma that suggested only two paths lay before them: – transition or suicide.
5.

1/The next major problem set in #DeFi is #NFTLiquidity.

It has become very clear that, like fungibles, nonfungibles are their own financial asset class.

One path to see this is to envision the future of NFTs as “liquid

2/Some say that NFTs “shouldn’t be” liquid, yet the innovation process continues.

Just like photography has become much easier to create in the last 100 years, liquid NFTs will surely bring down price points of tokenized digital content but will also open expansive new markets.

3/The key observation is this: #NFTLiquidity is merely a technical problem for #DeFi, and the entire set of economic mechanisms is its solution space.

👉🏻 In particular, because of tokenization, *the NFT liquidity problem reduces to the NFT price discovery problem.*

4/In other words, if we could reliably price a set of NFTs, we could issue a token backed by their reliably priced future resale value.

This is a core mechanism that today is underutilized in the market, and one that — we will soon see — applies to all illiquid assets.

5/Today, NFT price discovery proceeds via three main mechanisms: sales, auctions, and ERC20 fractionalization.

And the fundamental problem with each of these mechanisms is capital efficiency: in each mechanism, participants need to spend *at least* $N to value something at $N.

#Whatsapp Privacy & Term of Service Thread:

I am sharing screenshots of their ToSs, please have a look.

1/9

2/9

3/9

4/9

5/9

I am seeing a ton of confusion about protecting yourself on the Internet. So as a retired bastard genius kid, I wanted to share my own experiences and knowledge in this.

DOXXING, PERSONAL CYBERSECURITY, ANONYMITY for the average revolutionary. A thread:

If you're a regular user of huge Internet services like Amazon, Google, Twitter, Facebook, etc., as well as over the age of 18, it's wise to assume that your personally identifiable information IS attainable and IS out there. These services all collect and save info --

to varying degrees, and to varying levels of security. And this information is VALUABLE. Data breaches occur frequently, retroactively, and unknowingly, and the data from said breaches are circulated around and cached in all kinds of easy-to-access places online.

Why does this matter? A (simplified) hypothetical: while someone probably can't find your street address from just your Twitter bio, if your handle is the same as your e-mail, and that e-mail is in a publicly available data breach with a street address attached, you're screwed.

Usually when doxxing happens, a much more elaborate version of said case happens. Doxxing really comes down to investigating all of an individual's available info and digital footprints, and narrowing it down to a single identity.

*** THREAD ***

Three really useful Google Chrome extensions for Google Classroom.

1️⃣

Mote: voice notes and feedback.

This is an efficient tool for recording and posting verbal feedback. Mote is fully integrated into Google Docs, Slides, Sheets and Google Classroom. This makes it incredibly accessible and easy to use.

The mote icon (purple) appears in the 'private comments' box when you view submissions in GC. You simply click on the icon and record. With voice recording one click away, it is easy and quick to use. You only get 30 seconds but this encourages succinct, precise feedback.

It's great that you can view the document you are providing feedback on whilst recording. This helps to ensure specificity. For example, you can highlight specific examples from a student's work and then talk through them. This sort of thing prevents me from waffling, anyway.

There are other benefits too:
- Verbal feedback can be transcribed, with the option to review and change before posting.
- Mote supports transcription in more than 20 languages.

Prepping for today's thread, the story of the CURRENT CYBERWAR is clearly overwhelming. J.E. Dyer @OptimisticCon links us to this story. Just one quote to

Yoga employs more Americans than coal. But compare and contrast 1/2

and 2/2

I think many of us carry in our minds an image of the US economy that looks like this

when the reality is this

and this

Let's be clear about what @Google, @Apple & @amazon instantly destroying #Parler's ability to be the free-speech version of Twitter is. At its core, this is about the ability to freely communicate one’s thoughts to others — once considered a hallmark of "The American Way." 1/13

What Big Tech is doing is as if Ma Bell in 1973 (ask grandpa) decided what you're saying to a friend on a landline phone was “dangerous." So they cut off the line in the middle of the talk and then sent someone over to physically cut your phone line. That's Stasi shit. 2/13

I realize that a personal conversation is not the same as a public tweet, but the principle is the same. The company that "owns the wires" for your speec — and has special govt rules protecting them due to their position — cuts off your call due to what you are saying. 3/13

If this analogy doesn't work for you, imagine someone tackling and punching you for speaking on a soap box in a public park and then setting your soap box on fire. And the govt being OK with that in a country that has a First Amendment. Moving on ... 4/13

Big Tech shadow banned people for years to just do it "halfway." That way, they could continue to paint an increasingly thin patina on their original govt-protected pledge to promote the free exchange of thought. #freespeech 5/13

*Thread* - the hack is wack

The Master Life 'Hack' to Solve All Problems

What's easier?

Developing psychology & exerting willpower to not eat a pantry full of your favorite snacks

or

Not having those temptations in the house

Many 'solutions' being presented to people don't work

Designed to cope with the problem instead of resolving it

Darkness is the absence of light

You can't resolve or remove the darkness

You can only add more light

Recent viral obsessions with 'healing', 'being stoic', 'mental models & psychology'

They all serve their place AFTER the root has been handled

Before adding things to increase testosterone, remove what inhibits it

Before adding 'hacks', remove things causing conflict

If a person fears confrontation & is not assertive

Techniques & thinking offer some support, but the real question is

Why is this the default behavior?

Without starting with this question

All solutions are merely Band-Aids to mask & cope with the symptoms

In reality the real root of his fear of asserting himself & confrontation may likely be:

1/

Thread on @signalapp:

28th Nov 2011: A deal is made.

Security researcher @Moxie Marlinspike and Roboticist Stuart Anderson's brainchild, Whisper Systems, will be sold off to Twitter for a nice sum of money. It comes as a surprise because all of Whisper System's services

Lemme know of your thoughts on this entire story of the Signal App! Also help dispel the rumors surrounding it!

Cc: @UnSubtleDesi @swati_gs @rahulroushan @bhootnath @PrinceArihan @BefittingFacts @disclosetv @TheWolfpackIN @VertigoWarrior @WarHorizon @ExSecular @RDXThinksThat

Here's an overview of key adoption metrics for deep learning frameworks over 2020: downloads, developer surveys, job posts, scientific publications, Colab usage, Kaggle notebooks usage, GitHub data.

TensorFlow/Keras = #1 deep learning solution.

Note that we benchmark adoption vs Facebook's PyTorch because it is the only TF alternative that registers on the scale. Another option would have been sklearn, which has massive adoption, but it isn't really a TF alternative. In the future, I hope we can add JAX.

TensorFlow has seen 115M downloads in 2020, which nearly doubles its lifetime downloads. Note that this does *not* include downloads for all TF-adjacent packages, like tf-nightly, the old tensorflow-gpu, etc.

Also note that most of these downloads aren't from humans, but are automated downloads from CI systems (but none are from Google's systems, as Google doesn't use PyPI).

In a way, this metric reflects usage in production.

There were two worldwide developer surveys in 2020 that measured adoption of various frameworks: the one from StackOverflow, targeting all developers, and the one from Kaggle.