An amazing new project from @bearpelican was just released: https://t.co/DBov6sZTVS . A beautiful design; you can auto-generate a melody from chords, chords from a melody, and more.

It's technically brilliant, combining BERT, seq2seq, and Transformer XL
https://t.co/jF3mO5aXiu

Right, screw it. Here's a thread on *that* FBLive by Alex Cairnie about #Govanhill. Lets do a watch-through shall we? (Mind, I'm a resident of Govanhill, and a sociologist. I'm also 5'3, and a visibly queer woman so if half his claims are true I should be living in terror)

00:30: Welcomes viewers and uses points out that his videos are only getting attention b/c they're 'horrific'. Directs folk to his Youtube page. So already clout hunting.

1:08: "I've been warned to stay out of Govanhill. I'm a marked man" (proceeds to use a beanie as a disguise)

1:30 "Laughing and joking aside, here's somebodys front garden." Proceeds to show litter and claim its thrown from windows and this is 'common'. I know a handful of streets with litter issues like this, but its neither common nor unique to #govanhill and other deprived areas.

2:10 "Don't be under any illusion I'm only showing you the bad bits" - only shows you the bad bits.

3:45: He's had offers of help, but hes said no because hes not responsible for 'anybody elses safety' Good lord.

5:01: "Its not that bad. But its not all good either" -Correct

6:00: TW: child abuse - He starts claiming to have been contacted by a health professional and told about child abuse 'in the area'. Huge ethical issues here as the 'professional' who has 'been in the game a long time' is reporting to Facebook Dude and not authorities.

1/ Stolen from the greatawakening(DOT)win...

I will only be making one post here. Do not ask who I am. Do with this information as you please.

The Trump Card is being played. It's much simpler than you all realize. Some of you have gotten it right.

LING PURANA: IMPORTANCE AND CHARACTERISTICS

Reading Ling Purana provides bhog and moksha to the reader and listeners. It is about Shiva's sermon to Brahma when Shiva entered the Agni Ling and preached about Dharma sidhhi through the stories of Agni Kalp.

Vyasji divided this into two parts. This book is different from others and has eleven thousand shlokas which depict the glory of Shiva. This Puran is the summary about importance of Tridev.
It starts first with a questions. Then it describes the Shrishti in brief.

Then there is description of Yog and Kalp. Next is the evolution of Ling and its puja Vidhi. It consists of dialogue between Sanat Kumar and Shail etc. It also mentions the character of Dadhichi, the dharma representation of that yug, Bhuvan kosh description,

Chandravansh and Surya vansh. Next there is elaborate description of Shrishti, story of Tripur, Ling and Pashu Paash vimoksha, Vrats for Shiva, Discipline, Repentance, Arisht, description of Shri Shail. Next is the story of Andhakasur, Varah, Narsingh,

k¡lling of Jalandhar, Shiv sahastra naam, story of Daksha's yagya and its destruction, killing of Madan and marriage of Parvati.

Next is Vinayak katha, Shiv tandav, Ambrish katha and Upmanyu .

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

In Academia, people aren’t always supported when they need it. I want to share what @WesternU did when my husband died right after the pandemic shutdown. It should be shared with other uni’s as a model for empathy and proactive care when someone is in crisis.
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#AcademicChatter