Topic

#OpenAI

14 articles

A massive glowing GPU server rack burning white-hot, with a tiny pile of coins on the ground beneath it, representing the gap between AI compute costs and consumer revenue.

OpenAI Spent $15M/Day on Sora. It Made $2M. Total.

OpenAI killed Sora on March 24 after six months and $2.1 million in total revenue. Analysts estimated peak inference costs at $15 million per day. The gap between what consumers will pay and what AI video costs to run reveals a structural wall that every consumer AI product must face.

Abstract visualization of Nvidia green servers versus Amazon orange servers separated by a chasm, representing the proxy war.

Nvidia's $100B Bluff: The Amazon Proxy War Explained

Jensen Huang called the rumors "nonsense," but the math is undeniable. With a projected $14B burn rate for 2026, OpenAI cannot survive on Nvidia's margins. Amazon's $50B investment isn't just funding; it's a paid migration to Trainium that threatens to break the H200 monopoly.

Visualization of three AI model nodes—Pro, Instant, and Thinking—converging into a central digital brain.

GPT-5.2: The Age of 'Thinking' Models Arrives

OpenAI silently drops three new models—Pro, Instant, and Thinking. We break down the architecture shift, the move to System 2 reasoning as a standard, and why 'reliability' has officially replaced 'scale' as the metric that matters.

Split composition showing abstract representations of Gemini and ChatGPT AI models facing off

Gemini vs. ChatGPT: Battle for the Search Bar 2025

Google Gemini has 650 million monthly users while ChatGPT claims 700 million. But raw user counts don't tell the full story of who's winning the AI assistant wars. However, the real winner might not be the smartest model, but the one that is hardest to avoid. Google has a history of using its ecosystem dominance to win. Chrome has 65% market share. Android has 70%. If Google makes Gemini the default search engine on these platforms, ChatGPT faces an uphill battle.