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 …
Agent Triangle: 3 Paths to AI Workforce in 2026
Author(s): Aqil Khan Originally published on Towards AI. Agent Triangle: 3 Paths to AI Workforce in 2026 The agentic AI revolution is no longer a prediction, it’s happening right now. Gartner predicts that up to 40% of enterprise applications will include integrated …
AI’s Diminishing Returns: Avoiding the Overreliance Trap
Author(s): Prasoon Mukherjee Originally published on Towards AI. “I find it hard to see, how there can be a good return on investment given, the current math.” This warning about AI infrastructure economics is not just for tech investors, but it has …
Maximum-Efficiency Coding Setup
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to be a more efficient programmer There are many different coding setups people use for programming. In this article, I’ll take you through my personal coding setup and the tools and applications …
Where LLMs Belong in Agentic Systems: Gating, Approval, and Human-in-the-Loop Design
Author(s): Vahe Sahakyan Originally published on Towards AI. This article closes a four-part series on designing agentic AI systems. So far, we’ve focused on structure first. We separated agentic behavior from language models. We built workflows with explicit control flow, shared state, …
Building an Agentic Workflow in LangGraph (No LLM Required)
Author(s): Vahe Sahakyan Originally published on Towards AI. Most introductions to agentic AI start with a language model. This one doesn’t. That choice is deliberate. If you begin with an LLM, it’s easy to mistake intelligence for agency. You end up tuning …
LangChain vs LangGraph: Pipelines vs Processes in Agentic Systems
Author(s): Vahe Sahakyan Originally published on Towards AI. The first time you try to build a real agentic system, something breaks. Not a bug.An assumption. At first, everything looks fine. You chain together a few steps. The model reasons. A tool gets …
TAI #192: AI Enters the Scientific Discovery Loop
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, LLMs crossed from tools into participants in scientific discovery. OpenAI released a preprint, “Single-minus gluon tree amplitudes are nonzero,” in which GPT-5.2 …
The 6 Optimization Algorithms: How AI Learns to Learn 10× Faster with 50% Less Memory
Author(s): TANVEER MUSTAFA Originally published on Towards AI. The 6 Optimization Algorithms: How AI Learns to Learn 10× Faster with 50% Less Memory You’re training a language model with 175 billion parameters. Image generated by Author using AIThis article explores six optimization …
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