Does Cognition AI Matter When We Already Have Claude Code, Cursor, and Copilot?
Author(s): M Originally published on Towards AI. How a startup became a $10.2B company without being the smartest in the room. Crazy amounts of money are flowing into AI coding startups, yet we’re already drowning in AI coding tools. GitHub Copilot suggests …
Fast vs. Slow: How (and When) to Make Models Think
Author(s): Towards AI Editorial Team Originally published on Towards AI. Our AI team attended COLM 2025 this year. In this piece, François Huppé-Marcoux, one of our AI engineers, shares the “aha” moment that reshaped his view of reasoning in LLMs. We talk …
Tree-GRPO Cuts AI Agent Training Costs by 50% While Boosting Performance
Author(s): MKWriteshere Originally published on Towards AI. How tree search revolutionizes reinforcement learning for multi-turn language model agents Training AI agents to handle complex, multi-step tasks has always been expensive. Really expensive. Every time an agent interacts with its environment, you’re burning …
AI-Driven Machining: Building a Closed-Loop CNC System with IIoT Feedback (Building the CNC)
Author(s): R Rajesh Swamy Originally published on Towards AI. Building the CNC With the AI brain ready to make machining decisions, it was time to give it a body — the CNC machine itself.This phase focused on creating a fully functional three-axis …
🧠 MLOps Mastery: Seamless Multi-Cloud Pipeline with Amazon SageMaker and Azure DevOps 🌐
Author(s): DiPAK KNVDL Originally published on Towards AI. How modern enterprises build scalable, production-ready ML systems across AWS & Azure In today’s data-driven world, enterprises generate massive amounts of data across distributed systems, mobile applications, IoT devices, and transactional platforms. Transforming this …
How to Use Sparse Vectors to Power E-commerce Recommendations With Qdrant
Author(s): Sayanteka Chakraborty Originally published on Towards AI. 1. Introduction In e-commerce, success hinges on one thing: showing the right product to the right user at the right time. Whether it’s search results, recommendations, or personalized feeds, every interaction shapes how a …
Google Reports a Verifiable 13000x Quantum Speedup — What It Can Unlock
Author(s): TechPreneur Originally published on Towards AI. I didn’t expect to be thinking about sonar when reading a quantum computing paper — but here we are. Google says its Willow quantum chip ran a new algorithm, Quantum Echoes, and finished a physics …
The Truth: 70% Healthcare AI Errors from Hidden Distribution Shifts
Author(s): Vikram Lingam Originally published on Towards AI. Discover how the TSSA framework detects time-series shifts to slash machine learning errors in healthcare AI Imagine this: a hospital AI system, trained on pre, pandemic patient data, suddenly starts flagging healthy patients as …
Top 5 AI Projects to Build Before 2025 Ends 🚀
Author(s): Krishan Walia Originally published on Towards AI. Don’t just watch, be a part of it — Build these top 5 AI projects before 2025 ends and showcase your proficiency in the domain of Artificial Intelligence. Artificial Intelligence has proved its competence …
The SQL Renaissance: Why a 50-Year-Old Language is Suddenly Everywhere in the AI Era
Author(s): Mahathidhulipala Originally published on Towards AI. SQL is having its biggest moment in decades. Not despite the AI revolution — because of it. The language that was supposed to be replaced by NoSQL databases, then Python pandas, then whatever came next, …
I Wasted 100 Hours on ETL Bugs — How Copilot Slashed My Data Pipeline Time by 55%
Author(s): Navya Sravani Jammalamadaka Originally published on Towards AI. Hey data engineers — ever stared at a Spark job log for hours, cursing schema mismatches while your coffee goes cold? 😩 Last quarter, I did. 100 hours. Gone. Poof. Debugging ETL pipelines …
AI-Driven Machining: Building a Closed-Loop CNC System with IIoT Feedback
Author(s): R Rajesh Swamy Originally published on Towards AI. Every machining system begins with precision — but very few truly understand precision. Traditional CNC machines are masters of repetition: they cut, carve, and shape metal flawlessly, yet they remain blind to what’s …
“The Limits of AI: Why Generative Models Still Don’t ‘Understand’ Us”
Author(s): Meghana Thota Originally published on Towards AI. The Limits of AI: Why Generative Models Still Don’t ‘Understand’ Us We live in a moment when generative AI (e.g. large language models, image/video generators) feels like magic. With a prompt you can get …
Revolutionize Your Workflow with Gemini Code Assist
Author(s): Dimitre Oliveira Originally published on Towards AI. Image generated with Imagen 4 In the current fast-paced and evolving world of software development, staying ahead of the curve is crucial. AI-powered tools are no longer a futuristic concept but a present-day reality …
Vibe Coding, Explained: What You Really Need to Know in 2025
Author(s): Michele Mostarda Originally published on Towards AI. Generated by Author A practical guide to AI app builders — Replit, Bolt, Lovable, Databutton, Base44, Cursor, and Windsurf — and how to pick the right one. TL;DR Prompt-driven development (aka vibe coding) compresses …
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