Why Context Engineering Matters More Than Prompt Engineering
Author(s): MKWriteshere Originally published on Towards AI. Master the emerging discipline that’s becoming the #1 skill for AI developers building production agents Your AI agent just burned through 500,000 tokens in a single session. The bill hit several dollars. The performance degraded …
Authors v. Anthropic: How 7 Million Books Redefined AI Copyright Law
Author(s): MKWriteshere Originally published on Towards AI. Why Anthropic’s partial legal victory changes everything for AI development A landmark court ruling just redefined how AI companies can use copyrighted content. Here’s what every developer and tech professional needs to know. Generated by …
From Bytes to Ideas: LLMs Without Tokenization
Author(s): MKWriteshere Originally published on Towards AI. Meta’s AU-Net eliminates the 30-year bottleneck that breaks every language model Your AI chatbot struggles with typos. It can’t handle new languages without expensive retraining. And it needs a massive dictionary to understand basic words. …
Sufficient Context: A New Lens on RAG Hallucination Problems
Author(s): MKWriteshere Originally published on Towards AI. New research reveals the hidden flaw in RAG systems that makes even GPT-4 and Claude hallucinate You ask your AI assistant about a recent news event, providing comprehensive context from reliable sources. The AI responds …
Why Andrej Karpathy Says Software 3.0 is eating 1.0 and 2.0
Author(s): MKWriteshere Originally published on Towards AI. The Tesla AI architect predicts Software 3.0 will replace most code you write today You spend hours debugging syntax errors. You wrestle with complex frameworks. You translate business requirements into thousands of lines of code. …
Why Large Language Models Are Surprisingly Easy to Hack
Author(s): MKWriteshere Originally published on Towards AI. New research shows that AI systems costing millions to build can be fooled by simple tricks that require no technical knowledge whatsoever Your AI assistant just cost you $5,000. Image Generated by Author using Gpt-4oThe …
A Production Engineer’s Guide to Shipping LLMs That Work
Author(s): MKWriteshere Originally published on Towards AI. Why experienced developers delete frameworks, avoid fine-tuning, and ship faster using surprisingly simple principles Building with LLMs feels like navigating a minefield of overhyped frameworks and premature optimization. Image Source : framerusercontent.comThis article delves into …
Reinforcement Pre-Training: Teaching AI to Think Instead of Memorize
Author(s): MKWriteshere Originally published on Towards AI. Microsoft’s reasoning-first approach transforms how AI learns, making smaller models more capable than larger ones Microsoft Research has introduced Reinforcement Pre-Training (RPT), a method that transforms how language models learn. Figure 1 from Research paperThe …
How Qwen3 Embedding Beat Google at Its Own RAG Game
Author(s): MKWriteshere Originally published on Towards AI. Inside Qwen3’s Secret Recipe for State-of-Art Text Embeddings Just as DNA sequencing revolutionized biology by revealing the genetic code that connects all life, Qwen3 Embedding revolutionizes artificial intelligence by decoding the genetic structure of meaning …
When AI Speaks in Tongues: The Hidden Languages of Tomorrow
Author(s): MKWriteshere Originally published on Towards AI. What happens when machines start having conversations we can’t understand? Imagine walking into a room where two colleagues are deep in conversation, but instead of words, they’re exchanging rapid-fire gibberish that somehow makes perfect sense …
We’re Back to Square One: Why AI is Forcing Us to Reinvent Programming Languages (Again)
Author(s): MKWriteshere Originally published on Towards AI. How artificial intelligence brought us full circle to the same problems that created programming languages in the first place Imagine you’re trying to give directions to someone who speaks your language perfectly but has never …
When AI Meets Memento: The Science of Machine Memory
Author(s): MKWriteshere Originally published on Towards AI. For the first time, researchers measured exactly how much information LLMs remember vs. understand. “I have to believe in a world outside my mind. I have to believe that my actions still have meaning, even …
The Great Text-to-SQL Illusion: Why We’re Nowhere Near the Finish Line
Author(s): MKWriteshere Originally published on Towards AI. The Great Text-to-SQL Illusion: Why We’re Nowhere Near the Finish Line Despite the hype surrounding AI-powered database querying, enterprise-grade Text-to-SQL remains a complex, unsolved challenge that could make or break your next data initiative. Figure …
Are LLMs More Persuasive than Humans?
Author(s): MKWriteshere Originally published on Towards AI. Why large language models just proved they can change human minds better than actual humans Imagine walking into a car dealership where one salesperson is human and the other is an AI chatbot. Both want …
Claude 4’s Leaked System Prompt Exposes AI’s Controlled Personality Deception
Author(s): MKWriteshere Originally published on Towards AI. 24,000 tokens of hidden behavioral programming reveal how Anthropic manufactures authentic-seeming conversations through massive control protocols A massive system prompt document recently leaked from Anthropic’s Claude 4 has shaken the AI community. This leaked document …
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