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A common misunderstanding about Agile and “Big Design Up Front”:

There’s nothing in the Agile Manifesto or Principles that states you should never have any idea what you’re trying to build.

You’re allowed to think about a desired outcome from the beginning.

It’s not Big Design Up Front if you do in-depth research to understand the user’s problem.

It’s not BDUF if you spend detailed time learning who needs this thing and why they need it.

It’s not BDUF if you help every team member know what success looks like.

Agile is about reducing risk.

It’s not Agile if you increase risk by starting your sprints with complete ignorance.

It’s not Agile if you don’t research.

Don’t make the mistake of shutting down critical understanding by labeling it Bg Design Up Front.

It would be a mistake to assume this research should only be done by designers and researchers.

Product management and developers also need to be out with the team, conducting the research.

Shared Understanding is the key objective

I\u2019d recommend that the devs participate directly in the research.

If the devs go into the first sprint with a thorough understanding of the user\u2019s problems, they are far more likely to solve it well.
— Jared Spool (@jmspool) November 18, 2018

Big Design Up Front is a thing to avoid.

Defining all the functionality before coding is BDUF.

Drawing every screen and every pixel is BDUF.

Promising functionality (or delivery dates) to customers before development starts is BDUF.

These things shouldn’t happen in Agile.

Cookie Cyboid
@CookieCyboid

“Why are Tumblr and Facebook cracking down on sex so much? And why is Facebook in so over zealous about it? It’s all Apples fault!” Etc etc

I can explain all. It is largely the fault of a set of US laws called SESTA and FOSTA.

Matthew Panzarino
@panzer

New iPad Pro has Face ID, thinner bezels, squared off edges. A new touch sensitive Pencil that magnetically attaches to the edges. Thin enough to have a camera bump. Uses the XR's LCD cornering techniques.

The new 12.9" iPad Pro is physically smaller than the old one with the same screen size. It's roughly the same size as an 8.5 x 11 piece of paper. 5.9mm thick.

10 billion transistors in the A12X. 8-core CPU. 7-Core GPU. 35% faster single-core performance. 1000x faster GPU. iPad Pro is Xbox One S class GPU performance in "94% smaller" package, Ternus jokes.

Apple's silicon team is just dropping bombs every event.

live shot of Apple's silicon team

iPad Pro gets USB-C for up to 5K external displays and enables charging out to iPhones. Wild.

John Carmack
@ID_AA_Carmack

The vast majority of images are jpegs, which are internally 420 YUV, but they get converted to 32 bit RGB for use in apps. Using native YUV formats would save half the memory and rendering bandwidth, speed loading, and provide a tiny quality improvement. It would also be \

a good path to supporting better video codec still image formats and 10 bit components. You can do it today, but you need to do the color conversion manually in a shader, which can be a big ask for some devs. Defining a FMT_JPEG_YUV that does driver injection akin to the \

external image support on Android could make it much more of a drop-in. Even doing it the hard way seems like it would be worthwhile for web browsers today.

$Katrina Leonoudakis \U0001f453 Miyamura Appreciation Club$

Katrina Leonoudakis 👓 ...
@katrinaltrnsl8r

Machine translation can be a wonderful translation tool, but its uses are widely misunderstood.

Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.

Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.

You wouldn't use a jackhammer to nail a painting to the wall.

Two factors are at play when determining how useful MT is: language pair and context.

Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.

No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv

When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.

The 2018 State of JavaScript survey is out. They got 20,000 responses and have some delicious, delicious data. I'mma thread in some highlights:

First up: JavaScript flavors. There's TypeScript at 47% adoption, a tad higher than npm's own survey results (which said 46%). npm's survey is coming up again soon and will ask about TypeScript in a lot more detail.

I really, *really* like SoJ's "would not use again" question, which lets people who've abandoned a tech self-identify. This is noticeable in the graph above with Flow users -- 41% of people who've used Flow say they wouldn't use it again.

Now JavaScript frameworks. It's been a full year since npm's survey, so these numbers differ from ours in the directions I expected:
React 65% (vs. 60%)
Vue 29% (vs. 24%)
Ember 5% (vs 4%, I was expecting a bigger rise)

But there's a shocker in here: Angular.

npm's survey had Angular at 40% last year and SoJ has it at either:
- 58% (if you include those who don't want to use it again)
- 24% (if you count only those who like it)
Since npm's question didn't ask if they intend to *continue* using it I think that might explain this.

$Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193$

Billy Bostickson 🏴👁&👁 ...
@BillyBostickson

@EricTopol @NBA @StephenKissler @yhgrad B.1.1.7 reveals clearly that SARS-CoV-2 is reverting to its original pre-outbreak condition, i.e. adapted to transgenic hACE2 mice (either Baric's BALB/c ones or others used at WIV labs during chimeric bat coronavirus experiments aimed at developing a pan betacoronavirus vaccine)

@NBA @StephenKissler @yhgrad 1. From Day 1, SARS-COV-2 was very well adapted to humans .....and transgenic hACE2 Mice

1. From Day 1, SARS-COV-2 was very well adapted to humans .....and transgenic hACE2 Mice
"we generated a mouse model expressing hACE2 by using CRISPR/Cas9 knockin technology. In comparison with wild-type C57BL/6 mice, both young & aged hACE2 mice sustained high viral loads... pic.twitter.com/j94XtSkscj
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 30, 2021

@NBA @StephenKissler @yhgrad 2. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2

1. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2!
2 papers:
Human\u2013viral molecular mimicryhttps://t.co/irfH0Zgrve
Molecular Mimicryhttps://t.co/yLQoUtfS6s https://t.co/lsCv2iMEQz
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 2, 2021

@NBA @StephenKissler @yhgrad B.1.1.7 has an unusually large number of genetic changes, ... found to date in mouse-adapted SARS-CoV2 and is also seen in ferret infections.
https://t.co/9Z4oJmkcKj

@NBA @StephenKissler @yhgrad We adapted a clinical isolate of SARS-CoV-2 by serial passaging in the ... Thus, this mouse-adapted strain and associated challenge model should be ... (B) SARS-CoV-2 genomic RNA loads in mouse lung homogenates at P0 to P6.
https://t.co/I90OOCJg7o

$MaMaMia \U0001f1ec\U0001f1f7\U0001f1e8\U0001f1fe\U0001f1e6\U0001f1f2 SupportGreekProducts$

MaMaMia 🇬🇷🇨🇾🇦🇲 Support...
@MaMaMia73189983

Following @BAUDEGS I have experienced hateful and propagandist tweets time after time. I have been shocked that an academic community would be so reckless with their publications. So I did some research.
The question is:
Is this an official account for Bahcesehir Uni (Bau)?

Bahcesehir Uni, BAU has an official website https://t.co/ztzX6uj34V which links to their social media, leading to their Twitter account @Bahcesehir

BAU’s official Twitter account

BAU has many departments, which all have separate accounts. Nowhere among them did I find @BAUDEGS
@BAUOrganization @ApplyBAU @adayBAU @BAUAlumniCenter @bahcesehirfbe @baufens @CyprusBau @bauiisbf @bauglobal @bahcesehirebe @BAUintBatumi @BAUiletisim @BAUSaglik @bauebf @TIPBAU

Nowhere among them was @BAUDEGS to find