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 …
Hallucination Insurance: When AI Lies, Who Pays the Bill?
Author(s): MKWriteshere Originally published on Towards AI. Why insurers are rushing to cover chatbot hallucinations, and what it means for the future of Retrieval Augmented Generation In the high-stakes theater of corporate AI deployment, a new player has entered from an unexpected …
AgentFly: Fine-Tuning AI Agents Without Fine-Tuning LLMs
Author(s): MKWriteshere Originally published on Towards AI. How memory-based learning achieves 87% accuracy on GAIA benchmarks without costly parameter updates Every attempt to make AI agents smarter hits the same wall: computationally intensive gradient updates that cost millions and risk erasing everything …
LLMs Don’t Need Search Engines: They Can Search Their Own Brains
Author(s): MKWriteshere Originally published on Towards AI. SSRL Framework Proves AI Models Already Contain the Knowledge They Keep Looking Up We’ve been training AI to ask Google for answers when we should have been teaching it to remember what it already knows. …
This Plug-and-Play AI Memory Works With Any Model
Author(s): MKWriteshere Originally published on Towards AI. Memory Decoder instantly adds domain expertise to GPT, Claude, Llama, and any language model family Your startup needs GPT-4 to understand medical terminology. Your fintech app requires Claude to grasp financial jargon. Image by AuthorThe …
New Study: AI Models Fail at Basic Human Psychology Despite $50 Million Investment
Author(s): MKWriteshere Originally published on Towards AI. Bielefeld University research reveals why AI can’t replace humans in psychological studies Sarah Schröder knew something was wrong the moment she saw the results. Image Generated by Author Using GPT-5 ThinkingThe article discusses a research …
Microsoft Just Solved AI’s Biggest Problem: Why Magentic-UI Changes Everything
Author(s): MKWriteshere Originally published on Towards AI. How human-AI collaboration beats pure automation every time with 71% better results Your AI assistant decides your quarterly budget spreadsheet needs “optimization” and helpfully converts all your financial data into interpretive haikus. Image Generated by …
The Agentic Web: How AI Agents Are Rewiring Internet Infrastructure
Author(s): MKWriteshere Originally published on Towards AI. From static pages to autonomous digital workers — the technical breakdown of how intelligent agents are fundamentally changing how we interact with the web. You check your email, browse social media, and order coffee online …
Google’s Deep Research 2.0: The AI That Finally Thinks Like Human Researchers
Author(s): MKWriteshere Originally published on Towards AI. How Test-Time Diffusion is revolutionizing AI writing by mimicking the messy, iterative process of expert research with 74% win rates against OpenAI Google just dropped something revolutionary. Image Generated by Author Using Gpt-4oThe article discusses …
Zuckerberg’s Open Source Lie: How Llama 4 Reveals Meta’s True AI Strategy
Author(s): MKWriteshere Originally published on Towards AI. How Zuckerberg’s “careful about what we choose to open source” statement predicted the end of truly accessible AI development Mark Zuckerberg’s recent post on “Personal Superintelligence” wasn’t just corporate vision-casting. It was a strategic roadmap …
Context Engineering in Action: Four System Implementations Transforming AI
Author(s): MKWriteshere Originally published on Towards AI. How sophisticated system implementations are translating theoretical context engineering into deployable, intelligent AI architectures Context engineering sounds academic, but it’s driving the most practical AI breakthroughs happening right now. Image Generated by Author Using Gpt-4oThe …
The Complete Guide to Context Engineering Framework for Large Language Models
Author(s): MKWriteshere Originally published on Towards AI. Why prompts are dead and how dynamic context assembly, RAG systems, and memory hierarchies are creating the next generation of AI applications You’ve probably noticed something strange happening with AI lately. Image Generated by Author …