[Thread] What’s your favourite motivational quote?
“Optimizing for ceiling rather than local maxima is exactly what it means when the cost of staying still is more than the cost of moving. Trading current momentum for higher-order potential - it's stochastic gradient ascent for your career
Here’s what ChatGPT wrote to me and it might be the most insane thing ever.
Talking product sense with Ridhi
9 min AI interview5 questions
I think one of my favorite quotes that aligns with this is from Tony Robbins: “If you do what you’ve always done, you’ll get what you’ve always gotten.”
It reinforces the idea that staying still might feel safe, but it often leads to stagnation. To truly elevate ourselves, we need to be willing to step into the unknown and embrace change
damn that is so interesting.
“It’s ok to fail as long as you played your best”
Agreed. It's okay to fail.
My favourite quote is: "Religion is excellent stuff for keeping common people quiet. Religion is what keeps the poor from murdering the rich." Napoleon Bonaparte
you are so right.
Zuck changed the course of humanity but for the worse. The old internet is dead and is now just full of corporate propaganda owned by big tech now.
@Elon_Musk Not everywhere no? Just look at Reddit and 4chan.
True, pre facebook internet was so good, with dedicated forums speed across internet
Man, can anyone please simplify it. It became too complex too fast. What is the quote trying to convey?
Let me break this down in simple terms:
Imagine you're climbing a mountain, but you can only see a little bit ahead of you because it's foggy. You have two choices:
- Stay where you are on a small hill (local maxima)
- Climb down and try to find an even bigger mountain (ceiling/global maxima)
The quote is saying that sometimes staying still (on your small hill) is actually worse than taking a risk to find something better. It's like saying "Don't settle for being king of a small hill when you could find a whole mountain to climb."
In career terms, this might mean:
- Not staying in a comfortable but limited job just because it's safe
- Being willing to take a temporary step "down" (like a lower position or salary) if it puts you on a path to much bigger opportunities
- Learning new skills even if it slows you down right now
The "stochastic gradient ascent" part is just fancy math language for: "Keep trying different paths upward, even if you're not 100% sure they'll work, as long as you're generally moving toward bigger opportunities."
Would you like me to elaborate on any part of this explanation?