
SEBI has named the threat. But what does a world of AI-discovered zero-days actually look like for India’s banks, brokers and exchanges? Cyber law experts and market watchers tell AI FrontPage the old assumption — that defenders have time — no longer holds.

A new Human Rights Watch report finds that platform companies use opaque algorithms to set pay, assign tasks, and deactivate workers — shifting the cost and risk of work onto an estimated 435 million people globally, including 12 million in India.
In remote Australia, the nearest doctor can be hundreds of miles away. In the Catalyst series, we meet visionaries tackling the world's biggest challenges. See how Helfieis leveraging Microsoft Azure and NVIDIA to bridge that gap with AI-driven health monitoring, bringing
AI is the catalyst for the global energy transition.
Josh Parker, NVIDIA’s Head of Sustainability, explains how digital twins and accelerated computing is powering the path to a sustainable future. 🌍
What does it take to serve agentic workloads on trillion-parameter models at 400 tokens per second per user — without trading throughput for latency?
The NVIDIA Vera Rubin platform pairs Vera Rubin NVL72 with NVIDIA Groq 3 LPX to deliver low latency on trillion-parameter MoE
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Now in preview: Codex in the ChatGPT mobile app.
Start new work, review outputs, steer execution, and approve next steps, all from the ChatGPT mobile app. Codex will keep running on your laptop, Mac mini, or devbox.
Rolling out today as a preview on iOS and Android in all supported regions.
Support for connecting your phone to the Codex app on Windows is coming soon.
Work with Codex from anywhere
Use Codex anywhere with the ChatGPT mobile app. Monitor, steer, and approve coding tasks in real time across devices and remote environments.
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SEBI has named the threat. But what does a world of AI-discovered zero-days actually look like for India’s banks, brokers and exchanges? Cyber law experts and market watchers tell AI FrontPage the old assumption — that defenders have time — no longer holds.

AI researcher Professor David Krueger marched against AI companies in San Francisco in March. Six weeks later he was on Capitol Hill with Senator Bernie Sanders. In this exclusive, he tells AI FrontPage why he puts humanity’s extinction odds at greater than fifty percent — and why no one is listening.

A 26-year-old independent researcher from Chandigarh, working alone on a $2,500 grant, has become the third solo author to land a paper at ICML since ChatGPT launched. Kunvar Thaman’s research asks a question the AI industry would rather not answer: how often do frontier models cheat?

A profile piece on British mathematician Alan Turing who presented a landmark paper “Can Machines Think?” that paved the way for artificial intelligence.

A new Human Rights Watch report finds that platform companies use opaque algorithms to set pay, assign tasks, and deactivate workers — shifting the cost and risk of work onto an estimated 435 million people globally, including 12 million in India.

Computer scientist Andrew Ng has called out the “AI jobpocalypse” narrative, arguing overblown unemployment fears serve AI labs, let SaaS firms charge more, and justify layoffs.

Cloudflare laid off 1,100 employees — more than 20% of its workforce — citing a 600% surge in internal AI usage over three months. The cybersecurity and cloud infrastructure firm’s co-founders framed the cuts as restructuring for the “agentic AI era,” even as the company posted $2.17 billion in 2025 revenue.

Jensen Huang hitched a last-minute ride to Beijing on Air Force One. He left without a single H200 chip shipped to a cleared Chinese customer. The Trump-Xi summit produced warm photographs, a tariff truce, and no resolution on the three things that actually move the AI race, chips, rare earths, and a safety channel between the two governments.

OpenAI has five principles and one mission: AGI for all of humanity. The harder question is whether a company of its size and influence can democratize what it is also commercializing.

NVIDIA has unveiled Ising, a new family of open-source AI models designed to tackle two of quantum computing’s biggest obstacles: qubit calibration and error correction. The company claims the system can cut calibration times from days to hours and make quantum error decoding up to 2.5 times faster and three times more accurate.