In Davos, Demis Hassabis bets 50/50 AGI arrives in five years
Author(s): JP Caparas Originally published on Towards AI. The famed Nobel laureate and Google DeepMind boss returns to Davos with Gemini 3, a cooler take on China, and a 50% bet on AGI by 2030 A year ago, the AI world was …
What Amodei and Hassabis Said About AGI Timelines, Jobs, and China at Davos
Author(s): JP Caparas Originally published on Towards AI. Engineers who don’t write code, models that learn to deceive, and a “country of geniuses in a data centre” At Davos this week, something unusual happened. Dario Amodei, CEO of Anthropic, and Demis Hassabis, …
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. …
Persistence in LangGraph — Deep, Practical Guide
Author(s): Rashmi Originally published on Towards AI. Persistence in LangGraph — Deep, Practical Guide Persistence in LangGraph means storing and restoring graph state so an agent/workflow can: Image description not provided in the HTMLThe article explores the importance of persistence in LangGraph, …
Why MCP Matters: A Deep Dive into Model Context Protocol
Author(s): Rashmi Originally published on Towards AI. Why MCP Matters: A Deep Dive into Model Context Protocol MCP = a standard protocol that lets AI apps/agents connect to external tools + data sources in a consistent way. Instead of building a custom …
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 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models
Author(s): TANVEER MUSTAFA Originally published on Towards AI. The 7 Essential Types of LLM Benchmarking: A Complete Guide to Evaluating AI Language Models As Large Language Models (LLMs) become integral to business operations and everyday applications, understanding their true capabilities has never …
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, …
From Model Releases to Model Reliability: AI’s 2026 Reality
Author(s): TANVEER MUSTAFA Originally published on Towards AI. From Model Releases to Model Reliability: AI’s 2026 Reality The artificial intelligence landscape stands at a critical inflection point. After years of breakneck innovation marked by increasingly powerful models, breakthrough architectures, and headline-grabbing demonstrations, …
The RAG Breakthrough: How to Stop Getting Terrible Answers from Your AI
Author(s): AbhinayaPinreddy Originally published on Towards AI. When Smart AI Systems Give Dumb Answers Picture this: You’re in a packed boardroom. Executives are watching. You’ve built an AI system that’s supposed to be brilliant. Someone asks a simple two-word question: “Audit Committee.” …
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. …
The Anti-LLM: Yann LeCun’s $3.5 Billion Bet on World Models
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Why the godfather of AI is leaving Silicon Valley to build a machine that thinks before it speaks Silicon Valley is currently in the grip of a fever dream, hypnotized by the …
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