Sublime
An inspiration engine for ideas
🔍How do we make sense of messy, real-world documents? We (the EPIC Lab at UC Berkeley) are building DocETL, an open-source system for LLM-native data processing. We've started to create a showcase of demos. Here's our first: an analysis of public feedback on US AI strategy. 🇺🇸 https://t.co/x5fHTumGPu
Shreya Shankarx.com
A matter of choice: People and possibilities in the age of AI
The 2025 Human Development Report explores the intersection of artificial intelligence and human development, emphasizing the importance of people's choices in shaping equitable outcomes amid technological advancements.
hdr.undp.orgParag Parikh's lecture series on Behavioural Finance is a gold mine for young investors.
It's unfortunate that he isn't any more.
https://t.co/NqXx0ViHBx
Dharmesh Bax.com
Blume's Omega Report shows Delhi portfolio had the highest realised returns (14.9x vs Bengaluru's 2.4x)
Flashback to 2014: @zomato declared Delhi the 'Startup Capital of India' as part of their hiring campaign.
I remember they got a lot of hate for it back then ofc :) https://t.co/ewZF084de4
Want to make your health research more credible & impactful? Are you asking the right causal research question?
Move beyond associations — embrace causal thinking!
📢 Enroll in ICMR-NIE’s new MOOC: NIeCer 201: Causal Inference from Observational Studies... See more
Immediately after 2015 floods, myself and three friends came together to form a short-lived trust, put some money and did an impact assessment study on what floods had done to the MSME sector of Chennai. https://t.co/NlyhJlIR03
"Floods", by @dev_a_patel, is one of the more astounding Big Data econ papers I have ever seen. Machine learning can be used on satellite data to essentially do magic. How damaging are floods? How much do they affect human capital attainment? A thread on the paper 1/ https://t.co/7pEBxxfqW9