Davos 2026: What the Tech Elite Really Thinks About AI (And What They Avoided Saying)
Author(s): Marc Bara Originally published on Towards AI. An analytical synthesis of 10 public interviews with Amodei, Hassabis, Harari, Musk, Nadella, Huang, Karp, Tegmark, Bengio, and enterprise leaders Davos 2026. Image: World Economic Forum Davos has always been a place where disagreement …
Build Advanced RAG with LangGraph
Author(s): tanta base Originally published on Towards AI. image by author We all know and love Retrieval-Augmented Generation (RAG). The simplest implementation of Retrieval-Augmented Generation (RAG) is a vector store with documents connected to a Large Language Model to generate a response …
KV Cache in LLM Inference
Author(s): Ayoub Nainia Originally published on Towards AI. If you’ve ever tried to run a model with a longer prompt, increased batch size, or enabled beam search and suddenly hit CUDA out-of-memory, there’s a high chance the culprit wasn’t the model weights. …
Stop Googling Your Clients: How to Build an Auto-Updating “Dossier” System for Every Meeting
Author(s): Anna Jey Originally published on Towards AI. A step-by-step guide to using Make.com and Perplexity to automate your pre-meeting research and reclaim your mental energy. We have all been there. It is 1:58 PM. You have a Zoom call at 2:00 …
The Hidden Attack Surface in Every LLM: How Special Tokens Enable 96% Jailbreak Success Rates
Author(s): Suchitra Malimbada Originally published on Towards AI. Understanding how reserved symbols designed to structure AI conversations become weapons for prompt injection. Image made by the author When OpenAI’s tokenizer encounters <|im_start|>, it doesn't see thirteen characters. It sees a single atomic …
A Practical Guide to Vibe Engineering
Author(s): Kamen Zhekov Originally published on Towards AI. Introduction I’ve had LLMs write me entire features in minutes and I’ve had them generate thousands of lines of unusable garbage. The difference is usually not the model, but rather whether I treated it …
The Barnyard Reality Check: Why Applied AI Is Nothing Like a Web Service
Author(s): Vladimir Artus Originally published on Towards AI. Image generated with Midjourney. Introduction In the sterile vacuum of a Jupyter notebook, building AI feels like a clean, linear process. You collect data, you train a model, you wrap it in an API, …
The Hidden Cost of Using ChatGPT for Everything (That Nobody Warns You About)
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Story That Made Me Think Differently I came across something recently that completely changed how I see AI tools. A tech lead shared a story about having to let go of their best developer. …
Shipping Real Sales Forecasts: How Model Context Protocol Enables AI Agents to Use Your Data in Production
Author(s): Apoorvavenkata Originally published on Towards AI. If you have worked on sales forecasting as a product manager, data analyst, or data scientist, this situation will sound familiar. Most sales forecasts work well in notebooks but fall apart the moment they’re connected …
Who Do Autonomous Agents Answer To? The Identity & Governance Problem
Author(s): Manni Arora Originally published on Towards AI. This is Part 2 of a two-part series on Agentic Identity. Part 1: Identity Management for Agentic AI: Making Authentication & Authorization Digestible https://medium.com/towards-artificial-intelligence/identity-management-for-agentic-ai-making-authentication-authorization-digestible-0fc5bb212862 TL;DR Agentic AI challenges traditional IAM by introducing autonomous actors …
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