AI/Machine Learning, Bharat and Bhartiya IT Industry

[S_Madhukar]

Some time ago I posted concerns about negative impacts of genAI. As I feared...
https://x.com/BrianRoemmele/status/1907 ... aQV9A&s=19

No wonder Elon is working to bring waifu in the physical world, everyone can buy one

On a different note, Kawasaki is working on hydrogen powered robot horse like a personal bike but might take 2050 to deliver !

https://youtu.be/Jq894NCTZJ8?si=qsDYeGK1YH9ceiYI

[Amber G.]

The world’s toughest high school math exam — the infamous 6-question, 9-hour marathon known as the IMO 2025 — took place this week. There is a post in Math dhaga.

AI tried… and stumbled.

Even the best of them, Gemini 2.5 Pro, managed just 13 out of 42 points — and that too after 32 attempts, burning $431.97 in the process. (For context: bronze medal cutoff was 19.)

So yes, folks… people like us — math folks, teachers, coaches, problem solvers — still have job security. AI may be clever, but it still can’t quite tango with Olympiad combinatorics

[A_Gupta]

@Amber G, my interest is not so much in how to solve as in how they came up with these problems, and how they tested that they are indeed suitable for the Olympiad. Any idea?

[Amber G.]

@Amber G, my interest is not so much in how to solve as in how they came up with these problems, and how they tested that they are indeed suitable for the Olympiad. Any idea?

Ah, great question! So the IMO problems aren’t just cooked up by one committee somewhere—they actually come from all over the world.

Each participating country can submit problem proposals ahead of time. These get collected into a big shortlist—usually 30–35 problems. Then, during the Olympiad itself, a jury (with representatives from each country) discusses, debates, and finally selects 6 problems to appear on the actual exam.

They look for a nice mix—algebra, geometry, number theory, combinatorics—with different levels of difficulty. The problems go through serious vetting to make sure they're original, elegant, challenging but not impossible, and that they haven’t been floating around online already.

Fun fact: some problems have even come from very young authors—there was one a few years ago where a high school student (India) submitted a problem that made it into the final 6!

This year’s (2025) selected problems, for example, came from:

USA (Problem 1 by Linus Tang)

Vietnam (Problem 2 by Quang Hung Tran)

Colombia (Problem 3 by Lorenzo Sarria)

Lithuania (Problem 4 by Paulius Aleknavičius)

Italy (Problem 5 by Massimiliano Foschi & Leonardo Franchi)

Singapore (Problem 6 by Zhao Yu Ma & David Lin Kewei)

(Yours truly has been involved in authoring or reviewing for this and similar contests—so I can say firsthand, it's a fascinating and humbling process.)

If you're curious, you can even check out the full shortlist and jury documents on the official site:
https://www.imo-official.org or similar sites for national contests for USA and India

[Vayutuvan]

@Amber G, my interest is not so much in how to solve as in how they came up with these problems, and how they tested that they are indeed suitable for the Olympiad. Any idea?

If you are looking for how to come up with problems in general, i.e. not specific to IMO, I will take a shot at it from proof theoretic point of view and constructive mathematics. It has all kinds of applications. Not just competitions.

Later ...

[A_Gupta]

Sure! In the appropriate thread

[Vayutuvan]

Sure! In the appropriate thread

Math then.

[Amber G.]

@Amber G, my interest is not so much in how to solve as in how they came up with these problems, and how they tested that they are indeed suitable for the Olympiad. Any idea?

Ah, great question! So the IMO problems aren’t just cooked up by one committee somewhere—they actually come from all over the world.

Each participating country can submit problem proposals ahead of time. These get collected into a big shortlist—usually 30–35 problems. Then, during the Olympiad itself, a jury (with representatives from each country) discusses, debates, and finally selects 6 problems to appear on the actual exam.

They look for a nice mix—algebra, geometry, number theory, combinatorics—with different levels of difficulty. The problems go through serious vetting to make sure they're original, elegant, challenging but not impossible, and that they haven’t been floating around online already.

Fun fact: some problems have even come from very young authors—there was one a few years ago where a high school student (India) submitted a problem that made it into the final 6!

This year’s (2025) selected problems, for example, came from:

USA (Problem 1 by Linus Tang)

Vietnam (Problem 2 by Quang Hung Tran)

Colombia (Problem 3 by Lorenzo Sarria)

Lithuania (Problem 4 by Paulius Aleknavičius)

Italy (Problem 5 by Massimiliano Foschi & Leonardo Franchi)

Singapore (Problem 6 by Zhao Yu Ma & David Lin Kewei)

(Yours truly has been involved in authoring or reviewing for this and similar contests—so I can say firsthand, it's a fascinating and humbling process.)

If you're curious, you can even check out the full shortlist and jury documents on the official site:
https://www.imo-official.org or similar sites for national contests for USA and India

Assuming your question about IMO problem selection was a genuine request for information, I took the time to give a detailed answer — hope you found it helpful. Although you didn’t even acknowledge the reply, I noticed the question has since been used by others to steer the conversation — to me it seems — in unrelated directions, possibly seeing it as an open invitation.

(Seeing smiley 's in your and comments does. not sound serious thought)

Sure! In the appropriate thread

Just hoping we can keep math thread focused on math, and avoid the kind of derailment we’ve seen in the past . Thanks!

[Amber G.]

IIT Hyderabad has launched a 6-month online course in AI & ML - open for all

Details: http://bit.ly/IIT-HYD-Ai

[Amber G.]

xpost
The first large language health model that predicts >1,000 diseases and the time they will occur in a person was just published Nature
Learning the natural history of human disease with generative transformers

This, along with other recent groundbreaking reports, represents the dawn of a new era of primary prevention in medicine

[Hriday]

Reposted by Firezstarter@ in X.
https://x.com/ecommerceshares/status/19 ... W8-BQ&s=19

Do NOT install any agentic browsers like OpenAI Atlas that just launched.

Prompt injection attacks (malicious hidden prompts on websites) can easily hijack your computer, all your files and even log into your brokerage or banking using your credentials.

Don’t be a guinea pig.

In today's Manorama news paper's business section there is a prominent article on Atlas browser. No negative aspects mentioned. Subject is too complex for me to understand. Can anyone here comment on it?

[Hriday]

^^
The above post is in reply to a post by Brave browser which claims 100 million users.
https://x.com/brave/status/198066734531 ... QCiPQ&s=19

The security vulnerability we found in Perplexity’s Comet browser this summer is not an isolated issue.

Indirect prompt injections are a systemic problem facing Comet and other AI-powered browsers.

Today we’re publishing details on more security vulnerabilities we uncovered.

The scariest aspect of these security flaws is that an AI assistant can act with the user’s authenticated privileges.

An agentic browser hijacked by a malicious site can access a user’s banking, work email or other sensitive accounts.

[Amber G.]

@iitbombay’s new AI venture — BharatGen Technology Foundation @BharatGen_Com
— marks a major step toward building indigenous, multilingual AI for the nation.

Supported by @IndiaDST through #NMICPS and the IndiaAI Mission, this initiative will strengthen India’s sovereign AI capabilities and empower innovation across sectors.

More details. ,click on the TOI story:

[uddu]

India Is Building Its Own GPUs?! C-DAC Just Confirmed Everything…
C-DAC has officially confirmed India’s first indigenous supercomputing processors — including AUM, a 96-core ARM-based CPU arriving in 2026; a 128-core pure RISC-V HPC CPU; India’s first homegrown AI accelerator built for large-scale AI training; and a 2000+ core RISC-V GPU designed for HPC-AI fusion workloads. These chips sit on top of India’s own Trinetra interconnect, the Pinaka Studio unified software layer, and fully liquid-cooled HPC infrastructure.

For the first time, India is moving from importing supercomputers to designing its entire sovereign compute stack, marking a major leap toward exascale capability and full-stack strategic independence.

This is Front Page, your daily decode of the battles shaping the future of AI, compute, and human intent. No noise. No hype. Just the signal that matters.

[Ashokk]

DHRUV64: India’s First 1.0 GHz, 64-bit dual-core Microprocessor

India has achieved a significant milestone in its semiconductor journey with the launch of DHRUV64. It is a fully indigenous microprocessor developed by the Centre for Development of Advanced Computing (C-DAC) under the Microprocessor Development Programme (MDP). DHRUV64 provides the nation a reliable, homegrown processor technology. It is capable of supporting strategic and commercial applications. It marks a major advancement in India’s pursuit of self-reliance in advanced chip design.



DHRUV64 is built with modern architectural features. It delivers higher efficiency, enhanced multitasking capability and improved reliability. Its advanced design enables seamless integration with a wide range of external hardware systems. The processor’s modern fabrication leverages technologies used for high-performance chips. This makes DHRUV64 suitable for sectors such as 5G infrastructure, automotive systems, consumer electronics, industrial automation and the Internet of Things (IoT).

Strategic Significance of DHRUV64 for India

DHRUV64 marks a major milestone in India’s efforts to build a secure and self-reliant semiconductor ecosystem. It strengthens the nation’s indigenous capability in advanced processor development. It supports the critical digital infrastructure and hence, reduces the long-term dependence on imported microprocessors.

India consumes around 20% of all the microprocessors manufactured globally. The development of DHRUV64 provides India’s large talent base with a fully modern processor platform for advancement of semiconductor ecosystem in India.

Before DHRUV64, India had already begun expanding its indigenous microprocessor development ecosystem in recent years. Key examples include:

SHAKTI (2018, IIT Madras): Designed for strategic, space, and defence applications;
AJIT (2018, IIT Bombay): A microprocessor for industrial and robotics applications;
VIKRAM (2025, ISRO–SCL): A processor developed for space applications such as navigation, guidance, and mission operations; engineered to withstand extreme space conditions;
THEJAS64 (2025, C-DAC): Designed for industrial automation.

Developing indigenous processors such as the SHAKTI, AJIT, VIKRAM, THEJAS, and now the DHRUV64 is strategically significant. These processors drive the creation of an Indian processor ecosystem.



DHRUV64’s Impact on India’s R&D and Innovation

DHRUV64 provides a homegrown microprocessor technology designed for startups, academia, and industry to build, test, and scale indigenous computing products without relying on foreign processors.
DHRUV64 supports prototype development for new system architectures at lower cost.
India already has 20% of the world’s chip design engineers. DHRUV64 further helps in building a strong pipeline of skilled semiconductor chip professionals.
The success of DHRUV64 accelerates the roadmap for Dhanush and Dhanush+ processors. They are now under development phase.

Rollout of DHRUV64 and India’s Digital India RISC-V (DIR-V) Progress

The Government of India launched the Digital India RISC-V (DIR-V) Programme to advance the vision of Aatmanirbhar Bharat. It aims to establish India as a global hub for Electronics System Design and Manufacturing (ESDM). The initiative develops a complete portfolio of RISC-V–based microprocessors. These processors will power applications across industry, strategic sectors, and consumer technologies.

[uddu]

AI News | IIT Delhi Researchers Create The World's First Of Its Kind AI-Agent ‘AILA'
AI News | IIT Delhi Researchers Create The World's First Of Its Kind AI-Agent ‘AILA'

Researchers at the Indian Institute of Technology (IIT) Delhi have developed an AI agent capable of independently conducting real-world scientific experiments, marking a shift from AI-assisted research to AI-driven laboratory work. The AI system, named AILA (Artificially Intelligent Lab Assistant), can autonomously operate an Atomic Force Microscope (AFM), one of the most complex and sensitive instruments used in materials science, making real-time decisions, running experiments, and analysing results without human intervention. The findings have been published in the journal Nature Communications.

[Amber G.]

Mr.Vivek Yadav (IIT Kanpur, Alum)(MT/CSE/2019) has been appointed as Director (IT & Cyber Security) at the Ministry of Defence, Government of India.

In his new role, he will provide strategic leadership in IT governance, cybersecurity, and digital transformation initiatives that are central to strengthening India’s digital defence infrastructure and national security.
.