Spent a quaint half hour in a cafe listening to a guy yell at his dad after his dad said that the women Trump molested wanted it: "Dad, that's like saying the Jews who died in the Holocaust were asking for it!" ENJOY YOUR TERRIBLE FAMILIES THIS WEEK!

RISHI BHRINGI AND ARDHA-NAREESHWAR SHIVA

Rishi Bhringi was a devoted bhakt of Mahadev. However, in his devotion to Shiva, he ignored Mata Parvati.

Once, he visited Kailasha along with other Rishis. All the Rishis did parikrama of Shiva and Parvati both except Rishi Bhringi.

The same situation continued whenever Rishi Bhringi visited Kailasha. Mata Parvati decided to teach him that Shiva and Parvati are one and inseparable.
So on one such visit, Mata Parvati sat on the left lap of Mahadev when Rishi Bhringi came.

Seeing this, Rishi Bhringi took the form of a bee(some say bird) and did pradakshina/ parikrama only around Shiva’s head and ignored Ma Parvati.
Angered Mata took away the Shakti from his body. Rishi lost his blood and flesh and was left with a bare skeletal form.

Seeing him in such a situation where he was unable to support himself, Shiva granted a third leg to him.
Shiva then fused one half of his body with that of Ma Parvati and appeared as Ardha Nareeshwar.
Rishi Bhringi finally realised that Shiv and Shakti are one and the same.
🙏🏻

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

1/ Productivity tip: when I keep procrastinating on something I often trick myself by saying, "ok just work on it for the next 20 minutes" or some short period of time, "and then you can chill/relax guilt free" and give myself some treat (sugar, netflix, etc)

2/ Usually at the 20 minute mark (sometimes I set a timer) I'm so engrossed in what I'm doing that I don't want want to stop and end up working on it for the next hour or two. But getting started seems to be the hardest part.

3/ Key to this: you have to actually be ok with stopping after 20 minutes and being guilt free if that's how you feel. So it's not a trick, i have the option every time, I just often don't want to use it once i'm in the zone.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.