Hindcopper -- Support (SL) 135 was held.
More upside above 158.
Targets as given 200-212

#Hindcopper

Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.

Great seeing one of the fastest natural drivers of the last decade Robert Kubica today with @WilliamsRacing at @COTA #USGP #f1 #robertkubica #Poland #richenergy

SHAKTA DHARMA AND THEIR ACHARYAS

Śhākta or Shakti or Devi pooja is not a new upasana. It is being carried out right from the time of Vedic period. Puran's tell us that Rishi Vashishth would worship Tara devi. Parshuram ji worshipped Tripura devi,

Agastya learned the secrets of Shri Vidya from Vishnu ji in Hayagriva avtaar. Bhagwan Ram, Laxman and Krishna too learned the tantrik vidya. Even Rig Ved 7.103.5 Sayan Bhasya also mentions about Śhākta/शाक्त(शाक्तस्येव शक्तिमतः).

Then we find that in the Harrappan excavations many figurines depicting Shakti were found. So in that age too, which was supposedly an urban city shakti was being worshipped. So naturally this tradition would be prevalent in rural areas too.

It is wrong to say that shakti puja originated from Bengal although it was popular there. Matsyendranath received this vidya from Maheshwari herself in Kamrup. We know that Shakti pooja is practised all over India.

Not much is known about the Śhākta saints in other parts of India in the middle ages.

Adi Shankaracharya wrote Pramanech saar named book on tantra and Anand lahri book on Devi strotras. Then there were Acharya Shankar, Bhaskar Rai, Laxman, Deshikendra, Raghav Bhatt, Krishnand,

Black movie goers know which movies are for us and which films aren’t. We really don’t like our stories being made into films that center (and humanize) people that hate us. The filmmakers/studio know that by naming the film “The Green Book”, black movie goers...

...are going to be expecting a story about black people trying to safely navigate the country (real history) and instead will get a white savior film. Like folks went to see Detroit thinking it was about the riots...

Anywhoo, I know Mahershela is fantastic in it. He was the best thing about the trailer. As rich as the history behind the creation of ‘The Green Book’ is/was, as amazing as Dr. Don Shirley’s story is, WHY is this film about a random, racist driver and his family?

This feeds into the ignorant anti-Black American stereotype of “Black Americans don’t have any culture/history/mythology” or whatever. That our stories are still both being used while simultaneously erased in 2018 is wild to me. It’s gonna clean up come award season. 🤦🏾‍♀️

And now, if black filmmakers WANTED to make a film about The Greenbook, guess what it can’t be called🙃. Just like if someone wanted to make a film about the actual Detroit riots, guess what it can’t be called? Then those filmmakers would run into...

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.