The Algorithmic Arbitrage Crisis: Why AI-Powered Gambling Represents a Systemic Market Failure
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The convergence of artificial intelligence and gambling infrastructure represents one of the most underexamined technological risks of the 2020s. While public discourse focuses on AI safety in autonomous systems or misinformation, a more immediate …
The Great AI Paradox of 2025: Why 88% Adoption Doesn’t Equal Transformation
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The artificial intelligence revolution promised to be swift and decisive. Three years after ChatGPT catalyzed the generative AI era, we find ourselves in a curious position: AI is everywhere, yet transformative impact remains elusive …
Beyond Training Data: How Adversarial Evolution is Rewriting the Rules of Machine Intelligence
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The Paradigm Shift Hiding in Plain Sight On January 8th, 2025, Sakana AI and Japan’s Ministry of Internal Affairs and Communications published research that fundamentally challenges our assumptions about how machine learning systems acquire …
ClawBot’s Architecture Explained: How a Lobster Conquered 100K GitHub Stars 🦞
Author(s): Kushal Banda Originally published on Towards AI. ClawBot’s Architecture Explained: How a Lobster Conquered 100K GitHub Stars 🦞 The technical design decisions that turned a personal hobby project into 2026’s most-discussed AI agent An open-source AI agent hit 100,000 GitHub stars …
5 Best Practices for Building AI Applications That Actually Scale
Author(s): Dhanush Kandhan Originally published on Towards AI. 5 Best Practices for Building AI Applications That Actually Scale — By Dhanush Kandhan It’s 2026 dude. If your SaaS/Application just “calls an LLM,” you don’t have a business, you have a bill. Every …
From Clusters to Customers: Supercharging Segmentation with Generative AI
Author(s): Abhijeet Sahoo Originally published on Towards AI. The “Consultant’s Confession” If you’ve spent any time in pharma consulting, you know the drill. We live in a world of high-stakes “Patient Journeys” and “HCP Target Lists.” I’ve spent more hours than I …
How to Increase the Context Length of LLM?
Author(s): Bibek Poudel Originally published on Towards AI. References Effective Long-Context Scaling of Foundational Models Qwen3 Technical Report Attention Based Frequency What is Positional Encoding? At its core, positional encoding answers a deceptively simple question: How does a transformer know that “bank” …
Inside the Mamba-MoE Engine of Nemotron 3
Author(s): Kyouma45 Originally published on Towards AI. TL;DR The Models: The family includes Nano, Super, and Ultra.The Architecture: A Hybrid Mamba-Transformer Mixture-of-Experts (MoE) design that replaces most attention layers with Mamba-2 layers for high throughput. Key Innovations: LatentMoE: A new expert routing …
MCP Inspector Unlocks a New Way to Develop
Author(s): Nagaraj Originally published on Towards AI. Stop Debugging MCP Servers with Console Logs I opened MCP Inspector for the first time at 2 AM. Source : AuthorThe article discusses the MCP Inspector tool, highlighting its advantages over traditional debugging methods using …
Hola-Dermat: Personalized Skincare Agentic AI Assistant, Powered by Qdrant + Perplexity + CrewAI
Author(s): Niranjan Akella Originally published on Towards AI. “Finding the right skincare product is like finding a needle in a haystack… except the haystack is the entire internet, and you’re not even sure what a needle looks like.” Illustration from MIRRAR + …
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