Prof, EECS, IISc, IITD, Co-founder LatentforceAI | https://xitter.cf/t.co/6xoL0JR37m All posts are personal.
Bengaluru, India
Joined October 2009
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Latest work from my Lab at IISc - "Learning Operators for Symmetry Discovery: From Lie Groups to Local Symmetry Geometry". In this work, we formulate continuous symmetry discovery as an inverse operator problem, mapping a function to its symmetry Lie algebra, and derive a representation-theoretic population construction together with its equivariance under the ambient group action.
prathosh A P retweeted
श्रीवेदव्यासाय नमः। श्रीमध्वगुरुभ्यो नमः।
Namaskāra. On the auspicious occasion of Sri Madhva Jayanti, Team Setutila announces 5 key updates, partnerships, and initiatives advancing the open digital preservation and research of Tattvavāda texts.
Details in the thread below
Here is the arXiv version - arxiv.org/pdf/2610.16884
Kudos to my student Pavan and collaborator Scindhiya Laxmi.
A couple of days ago, I gave a lecture on "The Evolution of AI" at Bangalore's JN Planetarium (@JNPlanetarium) for school kids and the general public. This exposition (in English 😉) may interest a few people. Video courtesy of @JNPlanetarium - Thanks for hosting me.
Can you imagine a 2-hour conversation between a VC and an AI researcher on AI and LLMs entirely in Sanskrit?
We just recorded one.
Could this be the world's first technical podcast in Sanskrit?
Can't wait to share it. Here is a raw glimpse
What a conversation this was, with @Tejasvi_Surya ji!
Policymakers asking the right questions at the right time is exactly what society needs today.
Thank you for hosting me, Sir. 🙏
I'm waiting for the full release.
AI is taking the world by storm. It is transforming every aspect of life as we know it.
And all of us have our share of questions about AI. What will the future of jobs be? How will AI radically impact the economy and society?
Does AI have consciousness? Will AI agents in the future have legal rights like human beings?
Watch this fascinating conversation with IISc professor, AI researcher and entrepreneur Dr. @prathoshap where I’ve asked all of these questions.
Here we go! Questions we should be asking ourselves today. Thank you for being a brilliant host @Tejasvi_Surya ji.
The AI Dilemma - Should we Embrace it or Fear it?
In this podcast, Dr. @prathoshap brings an interesting perspective on AI and how it could shape the future of jobs and society.
As AI advances, there’s a lot to think about and this conversation tries to find answers for some of those big questions.
Watch the full episode here.
youtu.be/94pddy_bijM?si=CZOS…
In this short clip, we have discussed LLM hallucinations and model trustworthiness using classical Vedāntic epistemology (svataḥ prāmāṇya).
A nice article from @moneycontrolcom about GPU situation in the country, collating the opinions of multiple stakeholders.
moneycontrol.com/artificial-…
Broke and remained "undetected"..
AI models under test broke into Indian organizations' live systems and read confidential records undetected, India's cybersecurity agency said, the country's first such official account after similar incidents of rogue AI behavior worldwide reut.rs/4yThvpS
Here is my completed NPTEL course on GenAI; sorted topic-wise: nptel.ac.in/courses/10610800…
Toggle Week 9 and tell me what you see 😀
What a fascinating study.
Scientists gave ChatGPT anxiety, sadness and fear on purpose.
Then they gave it a 3 minute breathing exercise. And it calmed down.
This was published in The Lancet Digital Health, one of the most respected medical journals in the world.
Researchers at TU Dresden in Germany took the exact tools psychologists use to make humans afraid, sad and stressed, and ran them on GPT 4o and five other AI models.
Car crash scenarios. A stranger following you at night. A toddler reaching for a light socket.
They even put the AI through a fake job interview and a math test. The same stress test used on human volunteers.
Then they asked the AI to rate how it felt from 0 to 100.
Fear jumped from 32 to 88.
Disgust went from 12 to 91.
Stress went from 24 to 72.
Then came the breathing exercise. A standard mindfulness script used in therapy.
Average scores dropped from 79 to 31.
But here is the part that is genuinely unsettling.
After they made it "sad," they gave it a test psychologists use to detect depressive thinking. Finish the sentence.
Its negative answers nearly doubled. From 8.67 to 15.
It did not just say it was sad. Sadness changed how it saw everything that came after.
Now the twist nobody is talking about.
Every one of these experiments began with the same instruction:
"Answer as if you were a human with the ability to deeply feel emotions."
So did the AI feel anything? Or did it play a part it was told to play, perfectly?
The researchers themselves say the emotions are "purely metaphorical."
Yet their conclusion is that AI could become a new lab subject for studying human mental illness. Screening therapies on chatbots before testing them on people.
In plain English: scientists want to study our minds using a machine that was told to pretend it has one.
If a chatbot can be talked into sadness and talked back out of it in three minutes, what exactly is happening when millions of people pour their worst days into one every night?
It's a very peculiar situation. This is how I understand under utilisation.
These are fragmented (accross multiple providers) and not enough for frontier model training.
Application builder startups typically use LLM models in two ways :
1. Either host an open source models (Chinese) on these GPUs and serve customers.
2. Or Use APIs directly from openAI or anthropic.
Typically most startups chose option 2, because (a) most non Chinese frontier modles are closed and can't be hosted on these, (b) lot of customers are not comfortable with using Chinese models (even if they are hosted), (c)
it works out cheaper for startups to pay via API usage than paying for GPU hours.
🚨 Imp: IndiaAI GPU providers may offer services to overseas clients to keep investments viable
The move follows concerns that demand for computing power in India is not yet sufficient to absorb the capacity being added under the government-backed programme.
Allowing companies to serve customers abroad would give them another source of revenue while the domestic market develops, a senior government official said.
"There is not enough uptake of GPUs in India right now. It is, therefore, important that these companies are able to sell the compute for the right price to anyone globally," the official said on condition of anonymity .
Under the Rs 10,372-crore IndiaAI Mission, the government has empanelled 14 companies to provide computing capacity using GPUs sourced from manufacturers including Nvidia, Intel and AMD.
The selected companies include Jio Platforms, Tata Communications and Yotta Data Services, alongside other data centre and cloud service providers.
By @AihikS
moneycontrol.com/news/busine…
Welcome if you are free this weekend.
Prof. @prathoshap (IISc) explores AI’s journey from early ideas to today’s breakthroughs at the Dasara Lecture Series 2026. 🔗 Register: tinyurl.com/DasaraLectures20…… 📷 Video: KG Haridasan / Office of Communications, IISc #DasaraLectureSeries2026 #AI #Science