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🚀 Can AI Make Moral Decisions? The Ethics of Machine Judgment 🤖⚖ AI is reshaping decision-making in healthcare, finance, and law. But should machines decide who gets a loan, medical care, or even freedom? 🔥 The Ethical Dilemma ✅ AI processes data

India’s AI landscape is defined by two distinct approaches: Krutrim and Fathom‑R1‑14B. Krutrim (Ola/Bhavish Aggarwal) – Multilingual model covering 22 Indian languages for chat, storytelling, translation and enterprise services – Complete AI infrast

Who is building AI mentor for competitive exam preparation? The JEE,NEET market is very big. Many students spend lot of time doing exam paper analysis, doubt solving, finding weak areas, sometimes focusing a lot on some topic while ignoring others. A

Alibaba has unveiled QwQ-32B-Preview, a new “open” AI model that stands out for its logical reasoning and problem-solving capabilities. With 32.5 billion parameters and the ability to process up to 32,000 words of context, QwQ is already making wave

"Looking for a tech co-founder to build an AI-based EdTech platform for NEET, UPSC JEE NDA GOV.EXAMS ALL TYPE EXAM CUET, CAT,IISER,IAT, ARMY EXAMS BSC ,BCA ,BTECH,MBA,Indian schools (Govt + Private). I have the full vision, education plan & marketing

I recently wondered about the rise of AI and advanced technology transforming our world, offering incredible possibilities... Yet, with these innovations come significant challenges. As AI becomes more embedded in daily life, concerns about data pr

I want to create app like medial with capabilities of an invite-only, audio-focused social network that's completely based on voice notes. Users record and post voice notes, which are then transcribed to text through AI. This means you can both read

📈Edtech Soonicorns 1. BrightCHAMPS (India, ~$650M): Coding, robotics for kids. 2. Classplus (India, ~$500-$600M): SaaS for educators. 3. Scaler (India, ~$700-$900M): Tech upskilling, AI courses. 4. Infinity Learn (India, ~$500-$800M): JEE/NE

Real Agentic AI is a multi-layered system, where each layer solves a specific challenge from reasoning to compliance: 1. LLM (Core Reasoning) – Handles language understanding and generation. Alone, not enterprise-ready. 2. RAG (Retrieval Layer) – G