You have no idea how furious I am to agree with Robin McAlpine on this. Centrism is the Golden Mean Fallacy made manifest in politics: if one party says the sky's blue & the other says it's red, the centre concludes that the sky must clearly be purple.

Хајде да направимо мали осврт на случај Мика Алексић .

Алексић је жртва енглеске освете преко Оливере Иванчић .
Мика је одбио да снима филм о блаћењу Срба и мењању историје Срба , иза целокупног пројекта стоји дипломатски кор Британаца у Београду и Оливера Иванчић

Оливера Илинчић је иначе мајка једне од његових ученица .
Која је претила да ће се осветити .

Мика се налази у притвору због наводних оптужби глумице Милене Радуловић да ју је наводно силовао човек од 70 година , са три бајпаса и извађеном простатом пре пет година

Иста персона је и обезбедила финансије за филм преко Беча а филм је требао да се бави животом Десанке Максимовић .
А сетите се и ко је иницирао да се Десанка Максимовић избаци из уџбеника и школства у Србији .

И тако уместо романсиране верзије Десанке Максимовић утицај Британаца

У Србији стави на пиједестал и да се Британци у Србији позитивно афирмишу како би се на тај начин усмерила будућност али и мењао ток историје .
Зато Мика са гнушањем и поносно одбија да снима такав филм тада и почиње хајка и претње која потиче из британских дипломатских кругова

Најгоре од свега што је то Мика Алексић изговорио у присуству високих дипломатских представника , а одговор је био да се све неће на томе завршити и да ће га то скупо коштати .
Нашта им је Мика рекао да је он свој живот проживео и да могу да му раде шта хоће и силно их извређао

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.

1/OK, I should really write another thread about university-centric regional development, because I think people often make some (very understandable) mistakes when thinking about this issue.

2/The biggest myth, I think, is that universities help regions by educating locals as undergraduates.

Skeptics of universities say: "But most of the people who graduate end up leaving."

3/In fact, most of what a university does for a regional economy is NOT about educating local kids.

Educating local kids is good for the nation, but doesn't help a region much.

The way a university helps a region is through

4/Undergraduates usually leave town after graduation.

But university RESEARCH pulls in OTHER smart people from other regions, and they stay there.

Here's a paper showing that this is the main way universities increase a region's human capital:

5/Research also pulls in business investment.

Companies want to partner with university labs, so they can commercialize the technologies the labs produce. So they invest in the labs, and sometimes they even put their offices in the town.

Do you know?

The Golden Shine on the artificial jewellery of modern times is a gift by Nagarjuna.

Now,u might be wondering,who is Nagarjuna?

Nagarjuna was the name of an ancient Indian scholar&scientist whose name is associated with the fields of Alchemy,Chemistry& Metallurgy.

He conducted a number of alchemic and Metallurgical experiments directed towards transforming base elements into Gold.
According to Eduard Sachau's Alberuni's India, Nagarjuna was termed as a Metallurgist who was born 100 yrs before Alberuni's time, who was born in 973 CE.

According to some records Nagarjuna was born in 9th century CE near Somnath,Gujarat and according to some Tibetan & Chinese sources he was born in Vidarbha,Maharashtra from where he later migrated to Deccan region.

Edward Schau quotes in his book,'They have a science similar to Alchemy and Nagarjuna is famous for this science which they call as 'Rasayana'.

Nagarjuna's book 'Rasaratnakara' is one of the earliest documented texts on Alchemy,Chemistry & Metallurgy in Sanskrit.Nagarjuna successfully discovered through his experiments the alchemy of transmutation of base metals into Gold.This was not real gold but a gold like substance.

A relationship begins to get stiff when excessive patterns begin to form.

Too many patterns leads to a boring, predictable, logical lifestyle.

Get the emotions involved.

Do something spontaneous out of the blue moon & flip the script.

'What's wrong with the patterns?'

Nothing is wrong with patterns.

However, there is a problem when all you have are patterns.

It's boring.

'Can you explain why?'

Sure 👇

The thing with relationships is that it's meant to be an emotional experience.

It's very difficult to logically explain love, right?

'Right.'

Well this is where you want to steer the ship the right way.

1. Too emotional is bad.

2. Too logical is bad.

Let me break it down.

1. Too emotional

If a relationship is completely ruled by emotions, then it's too volatile.

You will never reach productivity if you are aimlessly only following each others emotions.

This lifestyle tarnishes any structure for the couple.

'So why do people do it?'

Because it's fun.

You may ruled by this stage in the honeymoon phase.

Normal.

You'll be so spontaneous that it almost becomes a lifestyle.

But it's hard to level up your life when you're too spontaneous.

Avoid.