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Saved by @Alex1Powell

#BanAashramWebseries is trending. It is important that everyone who feels so strongly against Habib Faisal, @prakashjha27, @thedeol's hate-Hindu project must review all our clips once.
We are putting all in this thread. +

 https://t.co/pFj4rqHCoQ
https://t.co/aux8BRjaqG
https://t.co/wRx4iaU0WQ
https://t.co/WM1rMuT4qV
https://t.co/TU5p0cTcNm
https://t.co/TUnuGYXavS
https://t.co/MNFQx7A7bO
https://t.co/g4Wckjz89y

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🗓 Release date: October 30, 2018
📝 New Emojis: 158
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Anu Satheesh \U0001f1ee\U0001f1f3
Anu Satheesh 🇮🇳...
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Cherthala Karthyayani Kshetram
#Alappuzha, Kerala
#KeralaTemples 🚩

Cherthala Karthyayani Temple Prathishta was done by Vilwamangalam Swamy. Chertala Pooram is very famous. Devi is Mangalya Dayini here removes obstacles relating to marriages. Sthala Puranam says that, once 👇


Vilwamangalam Swamiyar was passing this area after Prathista of Padmananbhaswamy Temple, he felt Devi chaitanyam and recognized as Karthyayani Devi. But Devi seeing Vilwamangalam went inside the pond. Swamy searched for Devi continously for 6 days and on 7th day Vilwamangalam


got hold of Devi's hair. Thus only Devi's head is Prathishta here. Devotees do Kozhi parathal ( offering cock) here as an offering to Karthyayani Devi.

Karthyayaniamme Sharanam
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Patrick McKenzie
Patrick McKenzie
@patio11
So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.


The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.

This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.

The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."

This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
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ArmaniTalks \U0001f399\U0001f525
ArmaniTalks 🎙🔥...
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Your Most PRECIOUS Currencies:

-Energy

-Time

-Attention

-Trust

-Love

-Loyalty

-Respect

Only give these currencies to high value people. Never spend these currencies on low value shitheads eg: trolls, weasels, snakes, naysayers etc.

'Wait, I thought money was the most important currency?'

Nah.

Once you adopt abundance mentality, you realize their is no shortage of money.

Making the dollars your most important currency will have you leading an empty life.

Time to flip your perspective.

👇

▪Energy

When you strip yourself to the core, you are an emotional creature.

Emotions are your internal worlds energy.

Harnessing that energy is crucial for leveraging yourself to obtain whatever you want.

You have a finite amount everyday, so spend it wisely.

▪Time

A second that is lost will never be returned.

You start valuing the hell out of this currency the more you mature.

As the years start adding up, you realize time is precious.

You must always have a scarcity mindset towards time.

Once you do so, you will not be lazy.

▪Attention

You can be here, but not present.

Attention is completely mental.

Giving someone your attention means you are clearing up mental bandwidth to make room for them.

Only give your attention to people who help you grow.

For the negative ones?

Ignore their existence
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Roger Grosse
Roger Grosse
@RogerGrosse
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.
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