How to fall asleep in 2 minutes or less with the Military Method:

1/ Stolen from the greatawakening(DOT)win...

I will only be making one post here. Do not ask who I am. Do with this information as you please.

The Trump Card is being played. It's much simpler than you all realize. Some of you have gotten it right.

Marvels of Medical Science in Ancient India

ACHARYA SUSHRUTA and SUSHRUTA SAMHITA

Ancient Indians were pioneers in diverse fields of study and their genius was centuries ahead of their times. Feel the glory, basking in pride of their unparalleled achievements.

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Sushruta (circa 7th or 6th century BC) was a surgeon who in present times is known as the “father of Indian medicine” and “father of plastic surgery” for inventing and developing surgical procedures. He lived in Kashi on the banks of river Ganga.(1)

His work documented in the Sushruta Samhita (compendium) is one of the oldest texts in the world on plastic surgery and regarded as one of the trilogies of Ayurveda. The other 2 being the Charaka Samhita and Astanga Hridaya.(2)

Sushruta compiled the Sushruta Samhita as an instruction manual for physicians to treat patients.(3)

The Samhita caters to surgical techniques listing over 300 surgical procedures and 120 surgical instruments. Additionally to 1,120 diseases, injuries and their treatments with over 700 medicinal herbs and their application.(4)

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.

Oh are we talking about Sheryl Sandberg again? Well, your reminder that disabled feminists, LGBQT feminists, and feminists of color criticised her ‘lean in’ deal from day one. Don’t let anyone retcon that out of existence.

Like, a pretty narrow slice of feminists actually endorse and support corporate feminism, they’re just white, nondisabled, straight, cis, and noisy so their voices have a bigger reach.

So if your impression is that ‘feminism’ gave her a ‘free pass’ maybe you should question your overall impression of feminism rather than continuing to centre a handful of people as ‘thought leaders’ or whatever.

Critics within feminism have been doing this work for a long time and have been getting shat on it for about as long and I'm tired of seeing them erased. But what do I know — I am, after all, not a feminist.

But I WILL say, from my not-a-feminist perspective, that people who aren’t feminists who are criticising feminism should maybe understand the movement more deeply beyond a handful of high profile celebrity feminists.