The Roadmap for Mastering Agentic AI in 2026
Agentic AI is changing how we interact with machines.
Agentic AI is changing how we interact with machines.
Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally […] The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.
Ayn Rand described Thanksgiving as “a typically American holiday . . . its essential, secular meaning is a celebration of successful production. It is a producers’ holiday. The lavish meal is a symbol of the fact that abundant consumption is the result and reward of production.”
Both Google and Apple are cramming new AI features into their phones and other devices, and neither company has offered clear ways to control which apps those AI systems can access. Recent issues around WhatsApp on both Android and iPhone demonstrate how these interactions can go sideways, risking revealing chat conversations beyond what you intend. Users deserve better controls and clearer documentation around what these AI features can access. After diving into how Google Gemini and Apple Intelligence […]
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Learning science consistently shows us that true learning requires active engagement. This is fundamental to how Gemini helps you learn. Going beyond simple text and sta…
Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, then tells you “Task completed!” Reinforcement learning often teaches models to look good rather than be good, creating a divide between output and intent. Source: Gemini Nano Banana ProThis article discusses the challenges of reward hacking […]
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.