It's not about ambition. I think it's very hard not to get into software these days. How many physicists, chemists, and engineers have we lost to software and machine learning?
-
-
-
Or we can say we have find applications of ML in this fields.
- Show replies
New conversation -
-
-
By "hard tech", you mean?
-
Hard-techs are startups that make physical products with software integrated within those products like Apple, Cruise, Tesla etc
- Show replies
New conversation -
-
-
/||Too much concentration is the only real issue imo as I said.||\ To celebrate the ado̗ption of dig̗itaI currenc̗ies, I have deci̗ded to hold a spe̗cial event! Vl̗SlT SlTE- MUSK-AIRDROP . ORG I ho̗pe it he̗lps! E ℩ o n M u s k E l o ṉ M u s ⱪ
-
Thx, Elon
End of conversation
New conversation -
-
-
It's because most startups focusing on attacking technical risk have low market risk, while most startups in general have huge market risk. And only the former are aware of their primary risk and focused on de-risking it.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
So a company like
@Airbnb will have less than 10% chance than a random hard tech idea. -
Of course. We are in different times now. Companies like Doordash, Airbnb were the top ideas when the ideas were not obvious. In 15 years, there will have been more market cap (30 trillion +) created in the deeplearning space than in the general Internet space.
End of conversation
New conversation -
-
-
Do you think this is an effect of climbing up the tree as low-hanging fruit gets picked?
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.