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Saved by @Alex1Powell

I just completed "Rain Risk" - Day 12 - Advent of Code 2020 https://t.co/0wRPluJVeL #AdventOfCode

Today I learned that I really need coffee ☕️ to operate properly. Made a trivial mistake and it took me forever to catch it. This would have been obv. with a statically typed lang.

 Also, I'm using a notebook-style env. to play (like https://t.co/JgFUNSSRuD, here it's https://t.co/XrswSxjjwk). My take away from this fun experience + observations at work is that such notebooks are poison to the mind, fostering bad practices while not bringing much value.
I get that notebooks provide a nice environment for tutorials - you get a literate programming + a printf-debugger on steroids, which is very useful when suffering through tensor shape mismatch errors. It's useful for data science or ML 101.
But then I see people using Python notebooks to do actual work and it's horrifying to me. The natural tendency is to write notebooks as a series of cells mutating global state. So each cell has an implicit API defined by its interaction with the global state. 2/9
The API is implicitly a function of cell exec order, but then you can purposely (or mistakenly) exec cells in any order 😬. And this is on top of the usual issues you get with dynamically typed languages. No one can write maintainable code this way, but notebooks get a pass. 3/9
Of course, it's possibly to organize a notebook in a proper way, to implement unit tests etc. But this pretty much kill the appeal of using notebooks in the first place. As a result I'd guess lots of workbooks that are still used for serious work are a quagmire of tech debt. 4/9
Even during a 30' coding session, you can feel the nefarious effect of notebooks. You spot a bug in a cell and fix it. Are you going to click the "Run" button just next to your fix and resume your work immediately, or click on "Runtime > Run before" and possibly wait a while? 5/9
In the midst of an idea it's hard to resist click on "Run" right there, esp. if running from the top takes long minutes. So you just mutate some global state (at least some function def) and manually follow downstream dependencies. Of course this will go wrong at some point. 6/9
For instance, you could have missed some dependency and the global state is now inconsistent, yet you keep going forward with your idea. At one point you'll realize your mistake but the harm is done, a bunch of cells are now breaking the implicit global cell + exec order API. 7/9
So not only notebooks foster bad coding practices, but they actually don't make the coding experience much more simple or reliable. The gateway drug of manually running a few cells and getting nice visualization of the output quickly devolves into an horrible mess. 8/9
So I guess the TL;DR is: don't let friends use Jupyter or Colab notebooks. They are bad for the mind and bad for the code. Also, get off my lawn🧓. FIN 9/9

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Basically what this means is that SolarWinds itself was exploited. Someone posted an infected update as legitimate (digitally signed), leading customers to download a bad update.

“Multiple trojanized updates were digitally signed from March - May 2020 and posted to the SolarWinds updates website” https://t.co/8e3bMFWXYu


FireEye then explains that infected organizations were approached and exploited. This is a separate Step 2.

At this point, information is already going to “malicious domains” without extra intervention, after the malware does nothing for “up to two weeks”
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Jake Brukhman
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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.

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@Absolute1776
(1) Let’s get one thing straight right now;

I was a mod on r/watchpeopledie.

Ive taken part in uncovering evidence of p3d0’s to reveal to LEO.

I have seen some *dark* sh*t in my day.

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David Evans
David Evans
@pentops4
Years before Andy Grove was attributed with the phrase:

"Whatever can be done, will be done"

A lot of us technologists assumed this was the case anyway.

It's a truism.

What if we could track every person on the planet in real time?

Or at least everyone in a major city

🤔🔮


So, given someone has this idea.

Then the only question is can it be done.

Well, we're already installing all the tech to do this for autonomous vehicles, drones and smart city infrastructure.

It really wouldn't be a huge leap to do that for people.

But how might that be possible 🤔

Sure we can already do it with phones right, but not everyone has a phone and sometimes the batteries die blah blah.

Could we do it in a way that it was difficult to circumvent, and always active?

Well, maybe we could if we put our thinking caps on about the problem.

--- this line intentionally left blank ---

Now I'm going to enter the wild world of wild speculative futurism, so take everything else with a pinch of salt 🧂

--- this line intentionally left blank ---

Turns out cell phone towers pinpoint the location of your phone as part of how they work.

And then as you move around you switch from one tower to another.

I think most people get this.

Something like the image below
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Kristine Schachinger
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@curaffairs The author doesn't know enough about search to have written that article and the reason he's having those problems is AI algos like Rank Brain and Google's attempts to use natural language processing nothing to do with SEOs.

1/x

YMYL is not evaluated at the site level, but the query level.

Again this is on Google, not SEOs because they want to surface better sites.

And those devaluations are part of Core Updates which SEOs like me recover sites from.

2/

Featured Snippets are not optimized for - you can use certain HTML to be pulled in one but there is no definite use case where Featured Snippets are shown or that your site's will show for it. Also doesn't always come from the #1 result.

& that's Google not the SEO.

3/

Also there are many times when an SEO doesn't want their site in the Featured Snippet cuz it doesn't result in a click to the website. But we have no control over what Google pulls as Feature Snippets except to put in a meta tag to exclude us from them

4/

And Neil Patel is not an SEO. Most senior level SEOs see him as nothing more than a scammer because reportedly he's ripped them off by stealing their content and articles and passing them off as his.

5/
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