MHRA exceptional authorisation of Innova for asymptomatic individuals was issued on 22nd Dec.

This is a LIMITED approval, and the details of how and why it is LIMITED are important. It does not cover all current uses of INNOVA by

PAKISTAN-INDIA WATER ISSUES – HOW INDIA STOPPED WATER IN PAKISTAN's CANALS IN 1948

Thread

After partition in 1947, the water system was also bifurcated between Pakistan n India.

India cheated Pakistan when on April 1, 1948, India suddenly n without warning stopped...
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...the supply of waters flowing into Pakistan's Central Bari Doab and Dipalpur Canals.

The boundary award on the partition of the sub-continent had left the headworks of these canals in Indian territory, and in accepting it India had implied her willingness to leave...

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...the historic distribution of common waters undisturbed.

India's action was therefore in flagrant disregard not only of international law n morality, but of her solemn commitments with Pakistan and a gross violation of this country's historical rights over common waters.

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Faced with a threat of utter desolation of millions of acres of fertile land, Pakistan had perforce to sign a document with India in which she agreed to "India's progressively diminishing water supplies to these canals and to the West Punjab government's tapping...

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...alternative resources".

A specific reservation was made in the document with regard to India's claim that she had full property rights over waters flowing into her territory, and could therefore use them as she liked.

The issue was, however, to be examined...

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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.

MINUTE DETAILS ABOUT THE ATTACK ON SHAISTA KHAN AT LAL MAHAL

Remarkable Commando op

A long 🧵 but worth your time

Aurangzeb sent his maternal uncle Shaista Khan with powerful army over 1,50,000 on the request of Badibegum Sahiba, Adilshahi sultanate

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Shaista Khan entered Deccan to kill Chhatrapati Shivaji Maharaj & to destroy his empire. Shahista Khan captured a lot of province and fort of Chakan near Pune.

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Till 3 years he gave lot of troubles to the subjects of Chhatrapati Shivaji Maharaj and he personally made Lal Mahal his destination to live at , which was the property of Chhatrapati Shivaji Maharaj . Lal Mahal, where Chhatrapati Shivaji Maharaj spent his childhood.

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1. In the April 1663 Chhatrapati Shivaji Maharaj personally made a surprise attack on Shahista Khan in the Lal Mahal Pune.

2. Chhatrapati Shivaji Maharaj attacked with 300 soldiers at the midnight while Lal Mahal had strong security of 1.5 lac soldiers for Shahista Khan.

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3. He entered in Pune, he made a drama of wedding ceremony to enter in Pune near Lal Mahal.

4. During the night they made big hole at the wall of Lal Mahal and entered into the palace.

5/

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1. I was walking in the woods yesterday and I had an epiphany. It wasn’t one I wanted to have. I was thinking about today’s class, where we are reading Kimmerer’s ‘Gathering Moss’. I’ve taught Braiding Sweetgrass in multiple classes every year since 2016. It’s eminently teachable

2. Both books are beautifully written. Students uniformly enjoy them as assigned reading. They do a great job communicating to non-Indigenous folks the contours of basic Indigenous relationships to more-than-human beings. They’re wildly popular with white readers.

3. I’ve found Braiding Sweetgrass to be a great entry point for non-Indigenous folks to Indigenous scholarship. But this is where yesterday’s epiphany comes in. Neither Braiding Sweetgrass or Gathering Moss tends to the deep deep lineages of Indigenous scholarship in Canada or US

4. As the popularity of ‘Braiding Sweetgrass’ has soared, I’ve seen more and more white folks wax on about ‘braiding knowledge’. But they often don’t know any of the lineages of these concepts beyond what is presented in this one book. They confidently run with this.

5. Kimmerer does a commendable job of weaving in her own experiences, her family stories+nods to some very important knowledge keepers who deserve to be celebrated for their work. But Braiding Sweetgrass does not tend to the citational politics Sara Ahmed & others teach us about