1/ You create value when you fulfill the unmet desires of people better than the alternatives they have (from competitors).
2/ The idea that capitalism rewards things that are rare and valuable was proposed by @ScottAdamsSays in his essay on career advice where he recommended readers to master various skills until no one else has the mix that you have.
A great example of building something that's rare and valuable is Facebook. Read about it in the full chapter here: invertedpassion.com/capitalism-rew…
4/ A fatal but common mistake that entrepreneurs make is misjudging what makes something valuable.
Many entrepreneurs start companies around their own passions and desires, but not many share their passion.
5/ Entrepreneurs are an odd bunch, what excites them isn't representative of the wider public
If you don’t understand what's valuable to others, you'll end up building products and services that nobody needs
6/ However, even if you end up correctly identifying a broadly shared desire or frustration, another costly mistake is to ignore how such desires or frustrations are currently being serviced.
(Why would customers switch from the tried and tested options to you, the unknown one?)
7/ Hence, value creation requires identifying what specific desires of people others haven’t yet figured out.
1/ The Internet is full of people winning all the time. Someone is traveling to exotic locations, someone else is raising funds, and another person is winning awards.
2/ Essentially, everyone around you is succeeding while you do spend your days as the nature intended – sleeping, eating, smiling, chatting with friends, and spending time with your cat.
Kicked off the 2nd batch of Turing’s Dream, the AI residency that I run in Bangalore!
Here’s what they’re upto…
1/ Adithya S Kolavi @adithya_s_k is a 4th year engineering student at PES.
In 2024, he set a target to achieve 10k stars across his github repositories
His most famous one is Omniparse and has 5.5k stars, it's a library that converts unstructured data into structured data for LLMs github.com/adithya-s-k/om…
@adithya_s_k 2/ Arjun Balaji @kaizen797 - 4th year engineering.
He's working with UPI team to detect money laundering using graph NNs. (it has trillion edges, so fun problem!)
He's also working with a Harvard team to map MRI images over time to 3D space to see how brain structures change!
1/ First a teaser of the atmosphere in the hackhouse!
A 3 minute video featuring @NirantK, @dementorSam, @__hsuya and myself (made by @mistrymm7)
@NirantK @dementorSam @__hsuya @mistrymm7 2/ Now, to the projects..
@py_parrot worked on replicating Anthropic's toy models of superposition, and extended it by trying to see how sparsity and importance of features impact representation of features.