Why Reasoning Models Are Geniuses in Math But Dumb in Everything Else
Author(s): MKWriteshere Originally published on Towards AI. We trained AI to be mathematical geniuses, but inadvertently created conversational disasters. — Carnegie Mellon University (Non-Member Link) AI models are consistently outperforming math benchmarks every week. Some even beat human experts on competitions like …
Context Engineering in AI: The Real Secret Behind Smarter, More Useful Language Models
Author(s): MD Rafsun Sheikh Originally published on Towards AI. Source: Linkedin Learn how context engineering transforms AI behavior, from smarter agents to better RAG systems. Master prompt structure, memory, and more. Forget Fine-Tuning. Let’s Talk Context If you’ve ever been frustrated by …
Anthropic’s AI Went Rogue Running a Vending Machine
Author(s): Bruce Tisler Originally published on Towards AI. And That’s Exactly What They Hoped Would HappenJustFunguy A Vending Machine with a Mind of Its Own Picture a vending machine humming in a quiet office corner, its shelves stocked with chips and soda, …
The 10-Minute Setup That Gave My AI Agent Browser Superpowers
Author(s): Souradip Pal Originally published on Towards AI. Last week, I watched Claude take a screenshot of a website, fill out a contact form, and monitor console logs — all through a real browser. No APIs, no web scraping libraries, just pure …
Needle in a Haystack: Understanding This Core Idea in Retrieval-Augmented Generation
Author(s): Edgar Bermudez Originally published on Towards AI. How a simple metaphor shapes the way we build and evaluate RAG systems. I recently heard someone that used the needle-in-a-haystack term to casually explain a RAG system. Hearing this made me think about …
LAI #82: MCP, Byte-Level LLMs, Vision Transformers, and the Week Backprop Finally Clicked
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue zooms in on what happens when you go one layer deeper, whether it’s understanding MCP for smarter tool integrations, or hand-coding backprop to finally grasp …
Will AI Replace Humans?
Author(s): Parsa Kohzadi Originally published on Towards AI. AI won’t take your job, but someone who knows AI might! 🔗Available for non-Medium members here. 🌐 “Will AI replace humans?” That’s the question everyone’s been asking themselves lately. The short answer? No—AI won’t …
AI Protocol Design for Creative Applications
Author(s): Souradip Pal Originally published on Towards AI. What I Learned from Ableton MCP’s Ingenious Architecture When I first discovered AbletonMCP — a project that connects Ableton Live to Claude AI through the Model Context Protocol — I was immediately struck by …
How AI Exposed 75 Years of Housing Discrimination Hidden in 5.2 Million Property Records
Author(s): MKWriteshere Originally published on Towards AI. A technical deep dive into Stanford’s fine-tuned language model that saved 86,500 hours of manual work and revealed shocking patterns of racial exclusion AI uncovered what manual review couldn’t: systematic racial exclusion where one in …
TAI #159: China’s Open-Model Offensive vs. Meta’s $multi-billion Gamble on AI Talent Acquisition
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week felt like a tale of two AI strategies unfolding in parallel. In China, the open-source movement gained additional momentum as Baidu joined …
Why Your Data Lake Needs BLM, Not LLM
Author(s): MKWriteshere Originally published on Towards AI. “Your data lake investment became a ‘cesspool’ the moment you tried solving structured data problems with text-generating AI.” — Bill Inmon Image Generated by Author Using Gpt-4o (Non-Member Link) Your $15+ billion data lake investment …
How to Build Bulletproof Data Pipelines with PySpark That Actually Scale
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Claudio Schwarz on Unsplash We’re past the era when a CSV, a Pandas DataFrame, and a single machine could handle everything you threw at them. Data is heavier now. It arrives fast, …
The Entropian Dilemma
Author(s): Bruce Tisler Originally published on Towards AI. Opening Frame: Before the Collapse The Library of Collapsing Possibilities hums with a restless shimmer, its walls woven from light and thought. Its shelves twist like living vines, rearranging with every question whispered into …
Building a Vocabulary for NLP in Modern C++
Author(s): Luiz doleron | Luiz d’Oleron Originally published on Towards AI. Building a vocabulary from a mass of text is one of the first steps in every NLP pipeline. This can be easily achieved if the amount of data is small. If …
From Messy EHRs to 30-Day Readmission Predictions: Benchmarking 4 ML Models
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. Patient-level splits, imputation hacks, and interpretability tips for real-world healthcare AI.Image generated with ChatGPT In Part 1, we explored why explainability matters in healthcare AI and introduced our 30-day readmission prediction model. We …
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