November 14, 2025

AI Daily News Rundown: 🏭 Microsoft unveils an AI “super factory” 🧠 OpenAI unveils GPT-5.1: smarter, faster, and more human 🌎 Fei-Fei Li's World Labs launches Marble 🧬 Google’s AI wants to remove EVERY disease from Earth & more

15 minutes

AI Daily News Rundown November 14 2025:

Welcome to AI Unraveled, Your daily briefing on the real world business impact of AI

In today's daily AI News Rundown:

🏭 Microsoft unveils an AI “super factory”

🧠 OpenAI unveils GPT-5.1: smarter, faster, and more human

🫠 Russia's first humanoid robot falls during its debut

🛒 Google will let users call stores, browse products, and check out using AI

🌎 Fei-Fei Li's World Labs launches Marble

🏛️ OpenAI battles court order on ChatGPT logs

⚙️ SOTA world model released from MBZUAI

🧬 Google’s AI wants to remove EVERY disease from Earth

🛠️ Microsoft’s AI CEO Has a Strict In-Person Work Policy — Here’s Why

🔊 AI x Breaking News:

MLB MVP: Shohei Ohtani wins NL MVP unanimously (his 4th); Aaron Judge takes AL MVP in a tight vote. AI: computer vision + LLM captions pump personalized “why it mattered” reels that shaped how you experienced awards night.
Blue Origin: New Glenn launched NASA’s ESCAPADE Mars probes and landed its booster at sea—a first for the rocket. AI: guidance, landing, and ops rely on ML; media feeds rank dramatic booster footage first, steering public perception of the milestone.
Verizon layoffs: Company plans to cut ~15,000 jobs amid restructuring under new leadership. AI: copilots/automation shrink back-office cycles; workforce planning models decide where cuts fall—while recruiters pivot to AI infra and platform roles.
Eliminatorias (CONMEBOL): South American World Cup qualifiers dominate sports chatter with standings and recent results driving debate. AI: tracking + xThreat models power instant match explainers; multilingual auto-clipping personalizes highlights by team and language.
Starbucks Red Cup: Red Cup Day was Nov 13—free reusable cup with holiday drink, while supplies last. AI: demand forecasting/staffing models handle the promo surge; recommender ads target likely buyers hour-by-hour.

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By Etienne Noumen

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