As my Christmas present to you all, here is a list of my top-10 metal tunes of 2020, in no particular order. It's a mixed bag of genres and styles, but they're all bangers!

1/ there is this sense when you are young that your accomplishments need to be a list of things that seem impressive to others. A list of several items you did.

This isn't actually right, so here is another suggestion.

2/ I remember being 26 and writing about reading 52 books a year. I wrote blog posts about it. They got copied. It became "a thing." Now it's in Twitter bios. It looks impressive but it's insanely useless and I shouldn't have done it.

3/ what I should have known at that time is that only young idiots like myself, with no accomplishments, find list of tiny achievements impressive. Anyone who has actually done anything of substance doesn't gaf

4/ what is actually difficult, and worthwhile, instead is to do ONE single thing for a very, very long time. It's much harder and much rarer and results in outlier outcomes much more often.

Of course you can find this out too late if you are chasing the dragon of Ted talks etc

5/ if I had only worked on a startup for a year, I would've gotten nowhere, the same way that if you lift for 3 months, it achieves nothing. Everything good in life comes from perseverance, but at the beginning, you're just like "I need to be somebody!!!"

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.

Black movie goers know which movies are for us and which films aren’t. We really don’t like our stories being made into films that center (and humanize) people that hate us. The filmmakers/studio know that by naming the film “The Green Book”, black movie goers...

...are going to be expecting a story about black people trying to safely navigate the country (real history) and instead will get a white savior film. Like folks went to see Detroit thinking it was about the riots...

Anywhoo, I know Mahershela is fantastic in it. He was the best thing about the trailer. As rich as the history behind the creation of ‘The Green Book’ is/was, as amazing as Dr. Don Shirley’s story is, WHY is this film about a random, racist driver and his family?

This feeds into the ignorant anti-Black American stereotype of “Black Americans don’t have any culture/history/mythology” or whatever. That our stories are still both being used while simultaneously erased in 2018 is wild to me. It’s gonna clean up come award season. 🤦🏾‍♀️

And now, if black filmmakers WANTED to make a film about The Greenbook, guess what it can’t be called🙃. Just like if someone wanted to make a film about the actual Detroit riots, guess what it can’t be called? Then those filmmakers would run into...

महाभारत की कहानी कौन नहीं जानता।लेकिन क्या आपको पता है कि महाभारत के ज्यादातर पात्र किसी न किसी श्राप में फंसे थे।अगर ये श्राप न होते तो कदाचित महाभारत की कहानी कुछ और होती।हिन्दु पौराणिक ग्रंथों में विभिन्न श्रापों का वर्णन मिलता है व हर श्राप के पीछे कोई कहानी अवश्य होती है।

आइए आज जानते हैं महाभारत कथा में वर्णित कुछ श्रापों के बारे में।

1) राजा पाण्डु को ऋषि किन्दम का श्राप

एकबार महाराज पाण्डु शिकार खेलने वन गए।झाडियों के पीछे कुछ हिल रहा था। मृग है सोचकर राजा ने बाण चलाया जो जाकर ऋषि किन्दम और उनकी पत्नी को लगा।वे दोनो रति-क्रीड़ा में लिप्त थे।

जब राजा ने उन्हें देखा तो बहुत दुखी हुए कि ये मुझसे क्या पाप हो गया।बहुत क्षमा याचना के बाद भी किन्दम ऋषि ने पाण्डु को श्राप दे दिया कि जब भी वो किसी स्त्री को काम भावना से स्पर्श करेंगे उसी क्षण उनकी मृत्यु हो जाएगी।पश्चाताप करने, वे सिंहासन पे अन्धे राजा धृतराष्ट्र को बैठाकर...

..स्वयं अपनी रानियों कुंती व माद्री के साथ वन चले गए।पांडवों का जन्म भी कुंती को ऋषि दुर्वासा द्वारा दिए गए मंत्र से हुआ था जिसमे किसी भी देव का स्मरण कर उस देव से कुंती,पुत्र प्राप्त कर सकती थी।एक बार माद्री पे मोहित हो जब पांडु ने उसे स्पर्श किया,उसी क्षण पांडु की मृत्यु होगयी।

2) उर्वशी का अर्जुन को श्राप

महाभारत युद्ध से पहले जब अर्जुन दिव्यास्त्र प्राप्त करने स्वर्ग गए तो वहां उर्वशी नाम की अप्सरा उन पर मोहित हो गयी। अर्जुन ने जब उन्हें अपनी माता के समान बताया तो यह सुनकर उर्वशी क्रोधित हो गयी और अर्जुन को श्राप दे डाला कि तुम नपुंसक की भांति...