krk1 (@snehakrk) 's Twitter Profile
krk1

@snehakrk

clearly shitposting

ID: 1580650782847692800

calendar_today13-10-2022 20:05:09

18 Tweet

36 Followers

132 Following

krk1 (@snehakrk) 's Twitter Profile Photo

my metric for calibrating a girlboss is whether she once had a hard-core writing outlet that nobody/few knew abt that she barely engages w now

Prabhat Kaflé (@pravatkafley) 's Twitter Profile Photo

कहीलेकाहीं त लाग्छ देशमा आईक्यूको सिरियस बहस गर्न जरूरी भै सक्यो। सबै कुरा यही आईक्यूको downstream effect त हैन? 😆😆

krk1 (@snehakrk) 's Twitter Profile Photo

personally, i don't see the issue with people seeking tutoring; it's just the culture that's bad. without addressing alternatives for effective study protocols, i don't see any point in banning private institutions w teachers

Isaak Freeman (@isaakfreeman) 's Twitter Profile Photo

I’m leaving MIT and not continuing into my PhD. AI is coming too fast for humans to keep up. But there might be a way: I realized digital humans are more possible than most think. With capable AI researchers helping, maybe for $10B, maybe in less than 10 years, on 50k H100s.

I’m leaving MIT and not continuing into my PhD. AI is coming too fast for humans to keep up.

But there might be a way: I realized digital humans are more possible than most think. With capable AI researchers helping, maybe for $10B, maybe in less than 10 years, on 50k H100s.
Natalie Wolchover (@nattyover) 's Twitter Profile Photo

Bacteria move around using a molecular machine called the flagellar motor that rotates faster than the flywheel of a race car engine and switches directions in an instant. After 50 yrs, scientists have finally figured out how it works. “My lifelong quest is now fulfilled.” Link⤵️

Gaurav (@ubdrain) 's Twitter Profile Photo

Nepal will have have hard time with AI data centers. We’re in seismic zone, lack reliable internet backbone, have bad road connectivity, no legacy expertise. Cheap hydropower alone won’t cut it; for now we should focus on building AI talent and building domestic AI applications,

krk1 (@snehakrk) 's Twitter Profile Photo

there're essentially two nobel-prize winning bottlenecks they've to solve : 1. reward sparsity issue because in any action space if there's no reward means there's no learning 2. system experiencing information explosion because how else can these models map entire existence

Alexander Kalian (@alexanderkalian) 's Twitter Profile Photo

The Silicon Valley cult of building giant data centres, supercomputer stacks, cooling systems, and private nuclear reactors - all to jack up LLMs and chase "AGI" and "ASI" based on extremely weak empirical evidence - will indeed be one of the biggest failed bets in history.