AI models
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5 ChatGPT Parental Controls: OpenAI Age Detection Tech Explained
OpenAI’s new age-prediction technology, announced on September 16, 2025, aims to enhance teen safety for ChatGPT amidst growing concerns over AI’s impact on youth mental health. This includes age-appropriate content filters, parental controls, and crisis response measures to address incidents linking AI chatbots to tragic outcomes among minors.
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10 Insights from Athens Summit with Greek PM Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis
I found Greek Prime Minister Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis’s interaction at the Athens Summit quiet insightful. Hence, I am sharing my key takeaways and included good quotes from them in this quick summary post. You can view the full interview here: Here’s the official transcript: Prime Minister Kyriakos Mitsotakis’ conversation with Demis…
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Build AI Podcast Generator: Script to Audio with ElevenLabs v3, OpenAI, Vercel, Supabase
This guide provides a step-by-step approach to creating an AI-powered podcast generator using ElevenLabs v3, Next.js, and other technologies. It outlines the benefits of automating podcast production, making it faster and more accessible. Key features include multi-speaker dialogue generation, real-time audio streaming, and support for over 70 languages.
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OpenAI’s Why Language Models Hallucinate AI Research Paper Explained
The discourse on AI often highlights “hallucinations,” where language models generate confident yet incorrect statements. A recent OpenAI paper attributes this issue to statistical pressures during pre-training and misaligned evaluation incentives in post-training. To build trustworthy AI, the paper advocates for benchmark reforms that reward uncertainty rather than guessing.
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Use ChatGPT Projects Feature For Free [Tutorial with Example]
![Use ChatGPT Projects Feature For Free [Tutorial with Example]](https://appliedai.tools/wp-content/uploads/2025/09/Screenshot-2025-09-05-at-1.06.23-PM.png)
OpenAI has launched its ChatGPT Projects feature globally, now accessible to free users, enhancing task management for long-term projects. It offers dedicated workspaces to organize chats, files, and instructions, ensuring context-aware responses. Different user tiers allow varied file upload limits, promoting effective workflow organization for tasks like research, marketing, and personal planning.
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Microsoft VibeVoice TTS Open-Source Explained With User Review Analysis
Microsoft’s VibeVoice represents a major advancement in open-source Text-to-Speech technology, leveraging a novel speech tokenizer for generating long-form audio. While it outperforms proprietary models in subjective tests, real-world usability issues, particularly in multi-speaker scenarios, limit its readiness for production use. Future developments aim to enhance its stability and application potential.
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Top Deepfake Detection Technology Explained + Compared [UNITE, FakeCatcher, DeMamba]
![Top Deepfake Detection Technology Explained + Compared [UNITE, FakeCatcher, DeMamba]](https://appliedai.tools/wp-content/uploads/2025/09/Top-Deepfake-Detection-Technology-Explained-Compared_-Navigating-Synthetic-Reality-visual-selection-e1756801968611.png)
The rise of deepfakes, facilitated by AI advancements, poses significant challenges to information integrity, enabling manipulation in politics, finance, and personal situations. While innovative technologies like UNITE aim to detect synthetic media, the threat to trust in media is profound and ongoing.
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Why GPT-5 Launch Failed: User Feedback Analysis [Reddit/X vibe checks + expert reviews]
![Why GPT-5 Launch Failed: User Feedback Analysis [Reddit/X vibe checks + expert reviews]](https://appliedai.tools/wp-content/uploads/2025/08/GPT-5.avif)
GPT-5’s rollout has been met with widespread disappointment, being labeled a “corporate beige zombie” and viewed as a downgrade from its predecessor. Issues include technical flaws, a lack of personality, and buggy performance despite impressive benchmark scores. The backlash highlights a disconnect between OpenAI’s corporate objectives and user expectations.
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Google Releases LangExtract: Explained + Getting Started FAQs Solved
LangExtract is an open-source Python library developed by Google for transforming unstructured text into structured data without requiring model fine-tuning. It supports various large language models and features precise source grounding, schema enforcement, and efficient processing of lengthy documents. Ideal for diverse applications, it offers interactive visualizations for effortless data validation.
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What is Retrieval Augmented Generation (RAG)? – Examples, Use Cases, No-Code RAG Tools
Retrieval Augmented Generation (RAG) enhances Large Language Models (LLMs) by providing real-time access to external data, improving response accuracy and relevance. RAG reduces hallucinations, facilitates quick updates without retraining, and supports dynamic, contextually aware applications. This approach is vital for areas requiring reliable and current information, such as customer support and finance.