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(A THREAD)

18 Things I Would Do At 18:

I was a dumb 18-year-old. I thought I had the world figured out. I didn't.

I stayed up till the wee hours. Drank every liquor invented.

Partied non-stop. Woke up after noon.

Surfed the web aimlessly.

Read BS self-help.

Repeat.

If I could do it all over again, here's 18 things I would do...

PHASE ONE: GET MY MIND RIGHT

ACTION #1: Break the chains - I wish I made the decision earlier. I didn't. I was scared. Anxious. Nervous. I knew once I made the decision, there was no going back.

Don't be like me.

Make the decision at 18. The decision to pave your own path in life. To go against the herd. To choose your own adventure. To commit to whatever sets your heart on fire.

ACTION #2: Cut off every negative person in your life.

Scroll through the contacts in your phone...

Notice how the names make you feel.

Delete any and all names that fill you with doubt and negativity.

ACTION #3: Condition your mind to embrace the producer mindset instead of the consumer mindset.

Consume 20% of the time. Produce 80% of the time.

Case closed.

ACTION #4: Set an intention to make $10k a month and write it out every MORNING and NIGHT as if you already achieved it (in the past tense).

Visualize yourself already having the money as you write.

Cheesy?

Yes.

Does it work?

Yes.

PHASE TWO: EDUCATION

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.

Sri Gurubhyo Namaha.

After the phenomenon called Sri Chandrasekhara Bharati came another one - Sri Abhinava Vidya Teertha [1954-1989] the 35th Jagadguru. Srinivasa was born on Nov 13, 1917. He was initiated into Sanyasa by Sri Chandrasekhara Bharati in 1931. He was Jagadguru for 35 years.

He was chosen and specifically trained to take over Peetadhipatyam from Sri Mahaswami. He is majorly responsible for the way Sringeri currently is. He built various buildings for devotees, Gajashala, Gooshala etc.

Acharya on conversions:
Once a person approached Sri Acharya that some other religions are trying to convert Hindus and requested Sri AVT to do prevent these conversions.

AVT replied - what do u mean by religion? Religion i.e. mata is related to 'mati' or intellect.
Caste is called 'jAti' which is related to janana or birth.
Ex- breed of a cow. we cannot change its qualities to resemble another breed by changing its name.

Oleg Karpov pisze, że gdyby Siergiej Sirotkin zdobył w pierwszej części sezonu więcej punktów od Strolla, to jego kontrakt z automatu zostałby przedłużony na kolejny sezon. Tak się nie stało i Williams ma możliwość szukania innych opcji i to właśnie robi. #F1pl

Czego w artykule brakuje, to informacji, że SMP prawdopodobnie przekazało Williamsowi część środków na sfinansowanie sezonu 2019. W przypadku zakończenia współpracy ekipa z Grove będzie musiała zwrócić te środki. #F1pl

To tłumaczy wysokie kwoty jakich Williams ma oczekiwać za fotel od nowego kierowcy. Jest pewnie próg opłacalności i dopóki nie zostanie osiągnięty, to zmiana z finansowego punktu widzenia nie będzie się zwyczajnie opłacała. #F1pl

Tyle można znaleźć w oświadczeniach prasowych... 😂😂😂