Has anyone compared AB Fashion in lieu with Nykaa valuations?

Nykaa FY21 TOTAL sales at around 2500 cr: expected m-cap over 50,000 cr

Aditya Birla Fashion FY21 online e-commerce sales 900 cr (total sales 5600 cr) – has done 8700 cr pre-covid; m-cap is 25,000 cr

#justcurious

🚔 HUGE #Tesla SERVICE PROBLEMS THREAD🚔

You might remember my 3 prior threads on how
TESLA. TREATS. ITS. CUSTOMERS. LIKE. TRASH.

Here's the 4th installment.
@tomkeinan @jonsey_lisa @jwmooc @tchanpoker @bryanthediamond @EconomicManBlog
$TSLA $TSLAQ 1/22

Welcome to Greta's 4th edition of #Tesla customers getting used and abused. Because that's the Elon Musk way.
@coffeebreakls @KocgibiHarun @omaragha @JayGhahari
$TSLA $TSLAQ 2/22

"The best service is no service." - Elon Musk a.k.a. #SpaceKaren
@briansaziz @FarSha998899 @thinktankfour @Billoday1
#Tesla $TSLA $TSLAQ 3/22

These #Tesla customers represent just the very tip of the iceberg. They are ones who have Twitter, have decided to complain about their #TeslaServiceIssues publicly, and were found by yours truly.
@yanismydj @hajelatweets @AlanHeldman @francislongo5 $TSLA $TSLAQ 4/22

Dear #Tesla customers: In California, if your vehicle has been out of service for >30 days total, it's a lemon. You can get punitive damages and attorney's fees. Don't sit around and take Elon's abuse. @13arm13arm @cecimar12 @richardson_skip @shootinglee $TSLA $TSLAQ 5/22

Enough Jaw Jaw, this is War!
1. People's Justice Courts to be set up worldwide
2. Citizens' arrests of all Identified Suspects
3. Lab Inspections
3. Harsh interrogation using MKULTRA
4. Public Show Trials video streamed live
5. Cross Questioning of suspects via Twitter & Zoom
6.

A growing list of suspects to be interrogated

Foul Traitors, Charlatans, Frauds, Bat Molesters! Frankensteins, Well Poisoners, Plotters, Deceivers!
Dr. Shipmans, Saboteurs, Devils in White Coats!

Organisations to be Investigated
WIV
Wuhan University IMA
WIBP
WCDC
BEIJING IPB
Nanjing Military Lab
SinoPharm
BARDA
NIH
EMERGENT BIOSOLUTIONS
BIOPORT
GILEAD
SIAC
QTEL
USAMRIID
FORT DETRICK
DARPA
DTRA
Metbiota
ONE HEALTH
GVP
ECOHEALTH
MITRE
BATTELLE
TUNNELL
LAURIMA GOV SERVICES

Suspects (1)
China
Zhengli Shi
Peng Zhou
George Gao
Deyin Guo
Major General Chen Wei
United States
ALEX AZAR
JONNA MAZET
ALISON O’TOOLE
ANTHONY FAUCI
BOYD YOUNT
DAVID FRANZ
DAVID KARESH
DENNIS CARROLL
DYLAN GEORGE
GEORGE PAINTER
IAN LIPKIN
JENS KUHN
JEROME HAUER
JONATHAN EPSTEIN

A thread on HN about bad code in legacy projects both makes me think how little we've learned as a discipline over the years and, honestly, how little credit we give ourselves for some pretty major

Fun going down this list and thinking: "Hmm, plausible at a well-run modern software shop", "Hmm, possible, but requires implausible tradeoffs", "Literally disallowed by languages", and "If you were to attempt doing that our test suite wouldn't let you merge."

I think we as an industry celebrate (not quite the right word) failure too much and don't celebrate success nearly enough. There is no DailyWTF for competent execution, word of which generally stays pretty local to the source while incompetence passes into legend.

Alrighty let me try to thread the needle on being the change I want to see in the world while not giving away anything that will get me in trouble:

Ruby has wonderful developer ergonomics. Typed languages are easier for machines to guarantee the correctness of. We built a type checker for Ruby (and I believe it is slated for OSS release sometime).

c.f.

Can we control the output of neural generation systems?
Can we build a better chatbot using this control?
And what makes a good conversation anyway?

Check out the blog post for our NAACL paper:

https://t.co/UAAUxSeA0L

#AI #NLProc #DeepLearning #ConversationalAI @facebookai

This post got a little delayed since the paper's publication, but the intervening time has given me an opportunity to reflect.

So this post has some extra thoughts regarding more recent NLG developments - e.g., pretrained models like GPT(2), and the suitability of beam search.