Artificial Intelligence News: 26 July 2025 - 19 August 2025

AI That Knows How You Feel: The Rise of Emotion-Detecting Tech
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AI That Knows How You Feel: The Rise of Emotion-Detecting Tech

Emotion-detecting AI, also called affective computing, uses facial analysis, voice tone, text sentiment, and physiological signals to infer human emotions. MoodCapture app, launched in 2024, uses the phone’s camera to detect early signs of depression by analyzing facial expressions, achieving about 75%
August 18, 2025
Exposed: Inside the Secret AI Race – Leaks, Rumors, and the Hidden Quest for AGI
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Exposed: Inside the Secret AI Race – Leaks, Rumors, and the Hidden Quest for AGI

In late 2023, OpenAI researchers circulated an internal letter about a code-named model “Q” (Q-Star) that reportedly solved certain math problems at roughly grade-school level, fueling AGI speculation. OpenAI released GPT-4 in March 2023 with no architecture, training data, hardware, or training
August 18, 2025
AI Maintenance Is Quietly Saving Trillions: Guide to Predictive & Prescriptive Maintenance – What It Is, Who’s Winning, and How to Start
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AI Maintenance Is Quietly Saving Trillions: Guide to Predictive & Prescriptive Maintenance – What It Is, Who’s Winning, and How to Start

1) What we mean by “AI‑based maintenance” Predictive maintenance (PdM) forecasts failure risk from condition signals (vibration, temperature, acoustic, current). Prescriptive maintenance goes further by recommending actions, parts, and timing to optimize cost, uptime, and risk. In 2025, the stack typically combines:
August 17, 2025

Technology News

  • Musk: Tesla would have spent double on Nvidia hardware without AI4 chipset
    January 8, 2026, 11:12 PM EST. Tesla CEO Elon Musk said the automaker would have had to spend roughly twice as much on Nvidia hardware to train its systems if not for Tesla's AI4 chipset. He noted Tesla is nearing two million cars annually, all equipped with the dual SoC AI4, eight cameras, steering-actuation redundancy and high-bandwidth links. By year's end, he said Tesla will have spent about $10 billion cumulatively on Nvidia hardware for training. Musk said Nvidia provides useful tools to automakers, but the broader auto industry is doing little on its own to advance self-driving. He also referenced discussions around Nvidia's kit and said the Alpamayo system could be competitive with FSD in five to six years, with safety gains taking longer.