deep learning and large language models. football (banter) fan. 19. prev: research intern at https://xitter.twitterapi.xyz/t.co/Uyagq8HNqO
Mumbai, India.
Joined October 2019
- Tweets6.1K
- Following1.4K
- Followers993
- Likes34.5K
Hiranmay Darshane retweeted
If Jensen Huang was born in Bhopal he would have been eligible to get 1000 per month from tomorrow under berojgari bhatta yojana. Talk about geographical luck. We are blessed.
"out with all the talk that talks about what we can do for the learner, in with all the talk that talks about what the learner can do for/to itself"
1
54
Hiranmay Darshane retweeted
Took my mom for an Emergency to Khar Hinduja hospital tonight, Diwali night. Sadly some residents were burning loud bombs just outside the hospital gate.
I politely requested them to burn all crackers except loud bombs outside the hospital gates. A man told me ‘hospital galat jagah pe hai-hum yahan 40 saal se hain’ and he continued to burst loud bombs. @mybmc
Hiranmay Darshane retweeted
I know this is a predictable opinion from me but I don't agree with the strong emotional reaction against the anti-data-center movements that I've seen this week.
As I see it, algorithmic progress means that whatever you would be able to do with more and bigger data centers in 2 years, you will be able to do with the data centers we have today in 4 years - probably sooner. So nothing remotely apocalyptically bad will happen from even extreme levels of success by anti-data-center people.
Meanwhile we need all the time we can get to better harden the world against both already-visible cybersecurity issues and any bio and other risks soon to come. Science applications are bottlenecked by many things other than AI, so slowing AI down by one year will slow those down by much less than one year.
Given this, a slowdown in compute hyper-scaling seems quite net good? Notice this is without any controversial "doomer arguments", RSI etc. Even if net-bad, it's certainly not worse than like 10+ other political things.
Hiranmay Darshane retweeted
Fantastic evening for our first Paper Club meeting in Mumbai!
Lovely meeting everyone and diving into the latest research on continual learning
Thank you Dr. Shweta for hosting us at the Homi Bhabha Centre for Science Education
Happy Diwali to all who celebrate 🪔
Hiranmay Darshane retweeted
New blog!
This one covers my experiments on fine-grained credit assignment with an agentic judge, and how it affects the models' performance and reasoning quality and some thoughts on RL science.
Link below, please do check it out, and RT/QT if you like it:)
Mumbai’s first alphaXiv Paper Club is happening on Nov 7!
We’ll discuss papers on Continual Learning. We hope to meet monthly and build a research community in the city.
Doing AI research or getting into it? Join us:
luma.com/1w044cv1
1
17
Hiranmay Darshane retweeted
This report shares our three subjective conclusions about risk:
1. We believe that, as of Oct 2026, the pace of capability growth on well-specified tasks is likely about 2x what it was from Mar 2024 to Oct 2025. We’re highly uncertain and would not be surprised by 1.3x–3x.