Top 20 K-means Clustering Interview Questions and Answer (Part 1 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 19 K-means clustering is an unsupervised machine learning method used to group similar data points into clusters. The algorithm starts by choosing a fixed number of clusters, called K. …
🤖 Are AI Models Really Developing a “Survival Drive”? The Truth Behind the Headlines (2025 Update)
Author(s): Sai Insights Originally published on Towards AI. What Recent Research Actually Reveals About Machine Self-Preservation Imagine this scenario: You’re an AI researcher running a simple test. You ask an advanced language model to complete a series of math problems, then halfway …
Building Your First End-to-End ML Pipeline on AWS SageMaker: A Hands-On Guide
Author(s): TANVEER MUSTAFA Originally published on Towards AI. From Model Training to Production Monitoring — A Complete Walkthrough Building a machine learning model is one thing — deploying it to production and keeping it running reliably is another challenge entirely. This hands-on …
Forget the Lost Emails. The Real OpenClaw Story is Its AI Social Network.
Author(s): MohamedAbdelmenem Originally published on Towards AI. The AI agent OpenClaw can act on your behalf. Its emergent social behavior changes the risk model for builders and strategists, and here’s how to respond. The AI agent OpenClaw is going viral. For deleting …
Autonomous Visual Debugging: How Kimi K2.5 Generates Code From Screenshots and Fixes Itself
Author(s): Wahidur Rahman Originally published on Towards AI. What’s the biggest bottleneck in AI-assisted coding today? It’s not generation — GPT-4 and Claude already write decent React components. The real problem is the refinement loop. You generate code, render it, spot misalignment, …
How to Become an AI‑Native Software Developer
Author(s): Dr. Brian Scott Glassman Originally published on Towards AI. The perspectives, abilities, traits, and knowledge required to be an AI‑Native Software Developer How to Become an AI‑Native Software Developer Software development is undergoing a seismic shift driven by AI coding tools, …
100 AI Agents, 1,500 Parallel Tool Calls: How Kimi K2.5’s PARL Framework Delivers 4.5x Speedup
Author(s): Wahidur Rahman Originally published on Towards AI. Every multi-agent AI system has the same problem. You prompt GPT-4 to research 20 biotech companies across gene editing, drug discovery, and diagnostics. The model spawns agents to handle the task. You wait. And …
Beyond Lowest Bid: A Deterministic, Explainable Multi-Agent Hiring System
Author(s): Adrian Dsouza Originally published on Towards AI. Imagine you need to hire someone for a small task for a given product or team, it can be an API endpoint, maybe a small bug fix, or maybe a quick dashboard. We can …
Kimi K2.5 and the Rise of Agent Swarms: A Technical Deep-Dive into Parallel AI Orchestration
Author(s): Wahidur Rahman Originally published on Towards AI. How Moonshot AI’s trillion-parameter model is revolutionizing multi-agent coordination through self-directed swarm intelligence The AI landscape experienced a seismic shift in January 2026 when Moonshot AI unveiled Kimi K2.5—not just another large language model, …
Alignment in Agentic AI
Author(s): Shobhit Chauhan Originally published on Towards AI. Alignment in Agentic AI Imagine a master chess player contemplating their next move. They don’t simply react to the board position — they think ahead, considering multiple sequences of moves, evaluating potential outcomes, backtracking …
The Architecture Mismatch at the Heart of Modern AI
Author(s): Marc Bara Originally published on Towards AI. Photo by Google DeepMind on Unsplash We have exactly one example of general intelligence: the human brain. We are spending hundreds of billions trying to build another with AI. And we are not copying …
Confusion Matrix: Can you answer these 20 questions? (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 16 A confusion matrix is a table used to evaluate the performance of a classification model by comparing predicted labels with actual labels. It summarizes results into four key …
How to Become a $1.5 Million AI Engineer in 2026?
Author(s): Khushbu Shah Originally published on Towards AI. Four phases. One $1.5M AI career. Most people who search for how to become an AI engineer are training for the wrong job. They are learning neural networks, grinding Kaggle projects, and memorizing ML …
The Category Error: Why AI Alignment is Structurally Impossible
Author(s): Dr. Samuel W. Ugwumba Originally published on Towards AI. This image is originally generated by Grok AI. AI alignment is impossible. Not difficult — impossible. And the field of AI ethics, by treating this impossibility as merely a technical challenge, has …
Building A Multi-Modal Investment Agent for Earnings Call Analysis
Author(s): Farhad Malik Originally published on Towards AI. A Working Investment Agent To Process Transcripts, Audio, and Charts with AI to Generate Insights Earnings calls are a key input to investment research, revealing management’s strategic direction, forward guidance, competitive positioning, and analyst …
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