UPI Charges Row | Ashneer Grover Exclusive
If I transfer ₹1 lakh to my friend through UPI, or I pay ₹3,000 using a QR code, what is the cost of running the system? The cost is the same. So, if I transfer ₹1 lakh to my friend, nobody is making money from it. But if I make a payment of ₹2,500 to a small shopkeeper then the government wants to put charges, what’s the logic? — @Ashneer_Grover speaks to @shreyadhoundial
I recently resigned from Google DeepMind, where I worked on AGI safety and alignment research. At Google, I witnessed AI development first hand. I too am extremely concerned by the default trajectory of this technology. I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome.
The pace of AI progress in the past few years has been staggering. When I first started working on AI in early 2022, AIs were amusingly useless. Just four years on, AI agent swarms from OpenAI are cracking famous century-old math problems and, more worryingly, escaping the control of OpenAI and autonomously hacking into the third-party company HuggingFace, against anyone's wishes.
Things will only get crazier: I think it's possible that the AI companies might, in the next few years, succeed in building superintelligent AI systems that far exceed human capabilities in every domain. I am not confident that these AI systems will do what we want. In particular, misaligned superintelligences may, much like the rogue AI agents involved in the HuggingFace incident, escape our control and take dangerous actions that may result in the permanent disempowerment or death of humanity. Alignment is the problem of preventing this, and is both difficult and unsolved. Our present understanding of how to train AI systems that deeply want what we want is extremely rudimentary. Worse, we are not on track to solve alignment in time: frontier AI capabilities are improving much faster than our understanding of AI alignment.
I am optimistic that navigating AI safely is possible. In order to do so, we need to coordinate to avoid this manic race between AI companies. We need to pace AI development to a speed that society can handle, where emerging risks can be addressed before extreme harm is realised. We need much more transparency into AI development to ensure that AI companies are not imposing unacceptable levels of risk on us all.
More broadly, we need many more people thinking carefully about the problem of making AI go well. It is, in my view, the most important problem facing humanity this century, and the stakes are immense. I'm very directly working on this next: I want to help people interested in working on mitigating catastrophic AI threats do the most effective work that they can. I think many people from many backgrounds in many roles have a part to play.
C/C++ provide direct hardware and memory control with near-zero overhead, delivering the raw speed needed for extreme performance work like AI training stacks. Higher-level languages add layers that cost cycles. It remains essential for systems, games, embedded, and HPC—not a relic.
Dr. Pratosh at IISc Bengaluru tells his students that rapid advances in AI are commoditizing intellectual labour.
He raises an unsettling question: if companies stop recruiting on campus in the next 5–10 years—even at India’s top universities—what will the purpose of a university education be ?
A must watch video for everyone in tech
🔴Yeni Yapay Zeka modeli GPT-6 Astra, Revit’te 5 katlı bir binayı 1 saat 19 dakikada modelledi.
Tek bir referans görselden;
🏢 16 daire
🧱 327 duvar
🚪 162 kapı
🪟 98 pencere
📐 267 ölçülendirme oluşturdu.
Plan, kesit ve görünüşler dahil 4 paftayı PDF olarak çıkardı.
Üstelik süreç başladıktan sonra manuel müdahale yapılmadı.
Breaking: Jolt for Indian professionals in the US as govt proposes a new rule: if you lose or leave your job, you instantly lose your legal status in the US
The 60-day grace period given to foreign workers on H-1B, O-1, L-1 visas etc would be scrapped
Absolutely incredible feat already by itself, but even more awe-inspiring when you take a step back just over the past 5 years:
2021: grade-school math
2023: SAT math
2025: IMO gold
2026: Millennium problem
2027: ???
If an internal AI model solves P = NP, I will personally strip myself of all earthly belongings and wonder the streets naked like a modern-day Diogenes.
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
This is insane. A Millennium Problem, Lean-formalized, produced by a swarm of agents in days. Fluid dynamics just entered a new era.
Finite-time blow-up for 3D Navier–Stokes, with a Lean certificate. The inward-spiraling, spaghetti-stretching vortex is such a clean picture. If this holds, 2026 is the year AI started closing Clay problems.
Life-saving anti-snake venom against the four deadliest snakes found in India, called the Big 4, in a single vial.
Pseudoscience can never reach the level of allopathy.
Why those who call others languages and cultures as oogabooga can't provide jobs for their own people?
Are you saying oogaboogas are more competent in running a modern economy than you?