Visa and Mastercard are a duopoly which imposes a large rent / burden on all txns in any economy. Maybe we shouldn’t armtwist better payment methods emerging elsewhere in the world (PIX / UPI)?
https://t.co/MW5PZir399
“Trains have wheels not legs. Because technology is not just about replicating what humans do”
Cleanest rebuttal I heard for why @Tesla autopilot is going down the wrong path by using only cameras and not adding LIDAR
#MoreSensorsIsMoreSensible
@sajithpai Listening live to 2025 Indus Valley Report. Curious what Quick commerce will do to MRP (Maximum Retail Price). MRP artificially locks prices for brick n mortar retailers who can’t price on convenience. QCommerce breaks that. How does this unfold?
Prime example being this article. Why should animals not be able to mourn? Or use tools or have language or sing? It’s always “oh they can do THAT too”. Enough with the speciesism guys https://t.co/1CCRrdmyGD
Scientists say that ascribing human tendencies to animals is wrong. Well I think it’s a staggering level of hubris to believe we alone are special. Darwin pointed out centuries ago that “human and animal minds differ in degree but not in kind”. Guess it’s still not sunk in (1/x)
Another common error is to take the first ramp onto an approaching highway instead of the second one. You end up in the exact opposite direction. Here too some smart voice nav can help immensely. I am sure there are plenty more.
Map PMs - please dont sleep at the wheel! (5/5)
So yes, Apple Maps was better at turn instructions but the Product Managers at both places can do SO much better. Eg:
Complex situations with 3-4 tight exits in quick succession (a New Jersey staple) = could you not warn the driver ahead of time to pay attention?
(4/n)
🚨[Linguistics Theory Meets LLM]🤔
Excited to share the paper from my collaboration with @gkuwanto, @__chaitanyaa, and @llamagrp@DerryTWijaya1
✨EZSwitch, a new approach to integrate linguistic theory with LLMs. 🖼️ It brings back nostalgia from my Ph.D. days when I applied linguistic constraints to language models.
🤗We released the human evaluation scores! https://t.co/CXh1DEABbr
We thoughtfully integrate linguistic constraints into the LLM, directing it to produce natural-sounding code-switching texts.
📰 https://t.co/oO91qZc6wu
🐍 https://t.co/7Mrvjlb2fE
#Nlproc #NLP #calcs #codeswitching #LLM #multilingual
The demographic dividend is a TEMPORARY boost that countries get for say 2 decades when their population is YOUNG. Economy gets a boost then eg GDP up by 2%. Which is NOT the same as all people get a better life. Unemployment can still remain high, affluence can still be a mirage
Unpopular opinion but yes India has too many people to become affluent. This is the view flying out of Frankfurt. Meanwhile Indian cities are just BURSTING at the seams
But this isn’t about urban planning (a real concern). It’s about the sheer population and how lifting a billion people up is HARD. Economists love talking about the demographic dividend. Yes it’s real and yes it helps businesses eg my own startup. But it’s crazily misunderstood