Machine Learning 10 August 2025 - 18 August 2025

AI Models Advance: How Self-Training and Mistakes Lead to Better Performance
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AI Models Advance: How Self-Training and Mistakes Lead to Better Performance

AI models are now training by playing against themselves, reducing reliance on human input and accelerating performance gains. Google’s self-play strategy, once used only in games, is being applied to advanced systems, raising hopes and concerns. Experts warn that self-learning AIs risk compounding errors if not closely monitored. Some researchers fear this trend could remove humans from key decision-making.
January 28, 2026
AI That Knows How You Feel
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AI That Knows How You Feel: The Rise of Emotion-Detecting Tech

The MoodCapture app, launched in 2024, analyzes facial expressions via smartphone camera to detect early signs of depression, showing about 75% accuracy in trials. The EU AI Act, finalized in May 2024, bans real-time emotion recognition in workplaces, schools, and public institutions, except for healthcare or safety. Affectiva and other firms offer emotion AI tools for advertising and automotive monitoring. Some companies dropped emotion-tracking after privacy criticism.
August 18, 2025
Inside the Secret AI
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Exposed: Inside the Secret AI Race – Leaks, Rumors, and the Hidden Quest for AGI

OpenAI researchers circulated an internal letter in late 2023 about a model called “Q” that reportedly solved grade-school math problems, fueling AGI rumors. By mid-2024, OpenAI had not confirmed GPT-5. Google DeepMind’s Gemini 1.0 reportedly surpassed GPT-4 on some benchmarks in early 2024. Meta’s LLaMA 2 was released open-source in July 2023 after a leak of the original model.
August 18, 2025
Retrieval-Augmented Generation - RAG
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Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications

RAG, or Retrieval-Augmented Generation, combines large language models with search engines or databases to provide up-to-date, source-backed answers. By 2025, major tech firms including OpenAI, Microsoft, Google, and Amazon offer RAG solutions. Systems like Mayo Clinic’s AI assistant use RAG to link GPT-based dialogue with current medical literature and patient data. RAG enables fresh responses without full retraining by querying external data at answer time.
August 13, 2025
No-Code AI Revolution --- How Non-Techies Are Building Machine Learning Models
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No-Code AI Revolution: How Non-Techies Are Building Machine Learning Models

A nurse informaticist used a no-code tool to build a hospital readmission prediction model without coding. Platforms like Google Cloud AutoML and DataRobot automate model building for non-technical users. Analysts expect up to 65% of new app development to be no-code or low-code by 2025. Limitations include less customization, opaque models, and integration challenges.
August 10, 2025