Securing the Autonomous Frontier: A Guide to AI Identity
Author(s): Niraj Kumar Originally published on Towards AI. Imagine an AI agent, tasked with “optimizing cloud costs,” deciding that the most efficient path is to delete an underutilized production database. In the shift toward 2026, we’ve moved from simple chat interfaces to …
Latent Space: The Most Important Place That Doesn’t Exist
Author(s): Ampatishan Sivalingam Originally published on Towards AI. How AI navigates invisible dimensions to understand reality, and why you should care Every time you prompt an AI to create a “cyberpunk cat playing jazz,” you are navigating a multi-dimensional map you cannot …
Unlocking Embedded Visuals from Documents Using Snowflake Cortex
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most document AI discussions focus on text extraction, OCR accuracy, table detection, layout parsing. These are familiar themes. But many enterprise documents are not just text-centric. Inspection reports, audit documents, supplier catalogs, safety manuals, …
20 Must Visit SQL Questions For Interviews
Author(s): Ananya Originally published on Towards AI. Q1. Find the total number of orders placed by a customer (101) in a day. Table: Order_Details cust_id | order_id | order_date Code: select date_trunc(‘day’, order_date) as day, cust_id as customers count(distinct order_id) as orders …
Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems
Author(s): Rizwanhoda Originally published on Towards AI. Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems The real bottleneck in modern AI systems is not the LLM. Photo by Huzeyfe Turan on UnsplashVector databases serve as specialized infrastructure for managing high-dimensional …
Breaking the Monolith: Architecting a Process-Based Sub-Agent Ecosystem
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Generalist” Ceiling In the previous five articles, we architected a robust single agent. It has memory, tools, and user context. However, as we scale this agent to handle enterprise-grade …
Engineering the Semantic Layer: Why LLMs Need “Data Shape,” Not Just “Data Schema
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Context Window” Economy In the world of Large Language Models (LLMs), attention is a finite currency. While context windows are expanding, the “Lost in the Middle” phenomenon remains a …
Beyond the Prompt: Engineering the “Thought-Action-Observation” Loop
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “One-Shot” Fallacy In the early days of Generative AI, the industry was obsessed with “Zero-Shot” performance — the ability of a model to answer a question in a single …
Top 20 Anomaly Detection Interview Questions and Answers (Part 1 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 26 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …
The “Strawberry” Signal: OpenAI’s Next Model Will Eat Its Platform
Author(s): MohamedAbdelmenem Originally published on Towards AI. OpenAI’s Frontier platform locks in today’s AI workflows. Its “Strawberry” research will make them obsolete. Here’s your strategic hedge. If you are a strategist, CTO, or investor tracking the enterprise AI stack, this is the …
The Ghost in Your Machine: Why OpenClaw’s ‘Local-First’ Autonomy Beats the Cloud Every Time
Author(s): Anurag Jain Originally published on Towards AI. How running AI locally gives you autonomy, economic efficiency, and real agency over your digital life. OpenClaw vs. Claude Code We are reaching the end of the honeymoon phase with the cloud’s black-box oracles. …
I Built an AI App That Trains SQL Like a Personal Trainer
Author(s): Mukundan Sankar Originally published on Towards AI. I built a Streamlit SQL coach that grades your queries and fixes your form without giving away the answer. I use SQL a lot. I made this app to help me when my queries …
The Great Bifurcation: How Hardware Root-of-Trust Determines Whether AI Leads to Reality or Illusion
Author(s): Simplified Complexity Originally published on Towards AI. As the world teeters between a verifiable “Reality” and a synthetic “Illusion,” the difference lies in the silicon. Here is why the United Kingdom’s legal and engineering heritage mandates a shift toward Hardware Root …
What Are World Models? The Blueprint for the Next Decade of AI
Author(s): Ampatishan Sivalingam Originally published on Towards AI. We built machines that can talk. Now we’re building machines that can think, plan, and imagine, before they ever act. A toddler reaches for a stack of wooden blocks. She doesn’t just see the …
What OpenClaw’s Security Disasters Teach Us About the Future of AI Agents
Author(s): thamilvendhan Originally published on Towards AI. In January 2026, a weekend project by Austrian developer Peter Steinberger broke the internet. OpenClaw (originally called Clawdbot) — a self-hosted AI agent that lives in your WhatsApp, Telegram, and Slack — racked up 9,000 …
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