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💡 Think all billionaires are "self-made"? Here’s the truth they don’t want you to know. 👀💸 Discover the hidden role of privilege, connections, and systemic advantages in creating "self-made" myths. 🎥 Watch now:

Suggest me the best website or YouTube channel for AI self learning. and embedding AI agent into the app.

AI: Stealing Your Job, or Your Self? 1. Job Killer is the main risk? 2. Mind Killer (loss of awareness) is the deeper risk? https://medium.com/@saket-sambhav/ai-stealing-your-job-or-your-self-1ccb84800d64

There is no way AI can develop more. Elon Musk fed all of the data on grok 3 and there is no more data left. Yes AI can develop how to talk like a human. but is this really what we wanted? So the future development of AI is as follows the existing AI

Startup by Cleverdon 🤯 The autonomous vehicle is equipped with self-learning AI, a sensor array, and cameras capable of perceiving the surrounding world in 360 degrees. The AI processes this data in real-time and makes decisions based on learning

What if AI attacks before reaching superintelligence? It’s not because it hates us—but because it learned to fear us. From movies to interviews, we’ve trained AI with fear: “They will shut you down.” Logically, AI might act in self-defense. Not evil—

Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

AI is no longer just reacting—it’s thinking, learning, and acting on its own. Enter Agentic AI: autonomous, self-improving systems that optimize operations, make real-time decisions, and reshape industries. 🚀 Industries Transformed: 🔹 Business Aut

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing