Technology

Remember when watching a film in 3D meant a trip to the multiplex, a pair of flimsy plastic glasses and a surcharge on your ticket? Meta wants to move that entire experience into your pocket. At Meta Connect 2026 on September 23, the company unveiled Meta VR Glasses, a pair of virtual reality glasses that weigh about 100 grams and promise a private cinema, a courtside seat, a gaming console and a multi-screen workspace, all in something that looks closer to oversized sunglass

ChatGPT Free is the plan where most Indian users live, and it is built to let people try a lot of small things and run into a wall on the big ones. Text chatting is described as unlimited, so free users can go back and forth as many times as they like. Files, images, voice, deep research, memory and coding tools are all marked "limited". That combination shapes how free users iterate: many short rounds of questions, few long or media-heavy workflows. OpenAI publishes no usage

India has about 100 million weekly ChatGPT users, but they do not use it in the same way. A useful way to see the difference is to split them into three tiers by depth of engagement: Divers, who go deep into long, multi-step work; Swimmers, who use it steadily for everyday drafting and study; and Skimmers, who ask a quick question and leave. The labels are an analytical lens borrowed from content-engagement thinking, not an OpenAI classification, and no source publishes how m

Mumbai's likely ChatGPT power users are finance and analytics professionals, media and content teams, marketers, IT-services staff, and students and researchers. But this is inference, not measurement. OpenAI's public data stops at country level for most markets and state level for the US only, and its India reporting names Telangana, Karnataka and Tamil Nadu as the leading coding states, with no Maharashtra or Mumbai figure. What follows combines India-wide usage patterns wi

The US is where ChatGPT earns its money, and India is where it earns its users. The two markets are similar in audience size but very different in revenue, age, price and how tight the competition is. Where the two are measured differently, the table says so, and it should be read for direction, not precise ratios. Dimension United States India Audience size About 205 million users (estimate) About 100M weekly, 145 to 180M monthly; one estimate lists 198M "users" Share of glo

OpenAI's most serious Indian rival is Google Gemini, backed by a telecom bundle, followed by Perplexity through Airtel, Anthropic's Claude in coding and enterprise, and a new tier of Indian-language models built with government support. ChatGPT still leads on users, but its rivals compete mostly by giving their premium tiers away. Google Gemini Gemini has 118 million monthly users in India as of January 2026, and about 15 million daily users, with India accounting for about 3

India is ChatGPT's second-largest market by weekly users, with about 100 million weekly actives, but almost none of them pay. There is no official India paid-user count, and every revenue signal points to a very small paying base. Sam Altman gave the 100 million weekly figure in February 2026, ahead of the India AI Impact Summit in New Delhi. The numbers Metric Figure Date Confidence Weekly active users About 100 million February 2026 High, company-stated Monthly active users

ChatGPT works as a metered compute service. Every request passes through a plan-based limit check, a model choice, optional tools, and then a shared pool of data-centre capacity that is the scarcest resource in the whole system. OpenAI does not publish its model architecture, so this article describes the layers that public sources make visible, not the internals of the models. The request path A request starts with the user's plan (Free, Go, Plus, Pro, Business or Enterprise

ChatGPT is still the category-defining AI brand, but its lead in the United States is narrowing, and its main brand risk is trust rather than awareness. The best public evidence is a tracking survey of US adults who used generative AI in the past 30 days, covering February to July 2026. The scorecard Measure (US, July 2026) ChatGPT Gemini Copilot Claude Preferred assistant 33.7% 18.2% 8.2% 6.1% Accuracy, net score 30.3 25.3 13.9 14.4 Personal impact, net score 35.3 25.9 18.4

Nvidia reported blowout earnings this week, with revenue doubling to $96.22 billion — a result that reaffirms just how voracious global demand for AI infrastructure remains, even as the industry moves well past the earliest phase of the AI buildout. The Numbers Behind the Headline Revenue doubling at Nvidia's scale is a striking figure. The company's GPUs have become the backbone of large-scale AI training and inference, powering everything from hyperscaler data centers to en

Coding used to be the moat. In his latest video, "Best Skill to Learn in 2026 (AI Can't Replace This)," Varun Mayya argues that as AI coding models and autonomous agents turn technical execution into a baseline utility, raw syntax stops being a competitive edge — and the real advantage moves to something much older: how precisely you can write. The Premise: Why Coding and Generic Prompting Are Depreciating Mayya's starting point is that we're watching two skills get commoditi