LLM News and Articles

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Saturday, 2026-03-21
12:52The Dreamers: How World Models are Changing The Game
12:37Sentience in AI: Why We’re Testing for the Wrong Things in 2026
12:13Why the question “Which AI tool should I use?” is asked the wrong way
12:11AI Letter #08: Many Agents, One Goal (Planning & Multi-Agent Systems), Part- 3
12:011% Improvement to Personal AI Workflow: Skills
11:51Beyond ReAct: I Built a Tree Search Agent for smolagents
11:4703 | Roadmap to AI Engineer
11:33Mastering NLP From Foundations to Agents — Second Edition, the Qlib Project | Issue 80
11:18How I stopped LLMs from hallucinating Selenium code — using RAG
11:07Introducing Compiled Capital
10:37A software engineer’s guide to why LLMs hallucinate and how to mitigate
10:34The Chunk That Broke My RAG Pipeline
10:21The Human Owns the Loop
10:02MetaClaw: Your AI Agent Is Static. This Framework Makes It Self-Evolve While You Sleep
09:14Designing delightful front ends with GPT-5.4
08:42From Words to Wisdom: The Hidden Math Inside Every Response from AI Tools
08:16LLMs Brewing Notes: On Distillation, Dissonance, and Design
07:58Your MCP Sucks. Here’s How to Fix It.
07:49Stop Caching Everything: Why Your Transformer is 98% Bloat
07:41Large Language Moralising: Slop allegations and AI snobbery
07:28RAG Is Broken — Vercel Ditched Vector Databases and Built a Knowledge Agent With grep Instead
07:23PageIndex: The Next-Generation Vectorless, Reasoning-Based RAG
07:119 tests that catch prompt injection without breaking UX
07:01S02E03 — Makeup, Not Surgery — Supervised Fine-Tuning
06:595 New Cursor Slash Commands That Are Changing How I Code
06:53How I Trained My First LLM Locally on a MacBook Air
06:43Forget APIs for AI Agents. Meet MCP.
06:35Scaling AI Discoverability Across International Markets: Beyond Translation to Neural Logic
06:21“Mamba: The Linear-Time Alternative to Transformers That’s Changing LLM Architecture”
06:13Ask ChatGPT to pick a number from 1-10000, it generally selects from 7200-7500
04:45Large Language Models Explained: How AI Tools Like ChatGPT, Gemini Actually Work
04:34I did a RAG system from Scratch using Python
04:31When One Field Drift Breaks the Agent
04:31Agent Routing Rules That Stop Tool Thrashing
04:31You’re Only Using Half of Claude AI — Here Are 10 Features You’re Missing
04:31RAG Retrieval: Relevant Docs, Wrong Answers
04:31Multitool Agents Break Quietly
04:31When One Tool Field Breaks the Agent
04:31RLHF Updates That Break Your Eval Story
04:31One Field Off, and the Agent Lies
04:29Thanks Google AppFunctions And Apple: OpenClaw is Extinct Already
04:13From Manual Checking to Full Automation in Under 150 Lines of Code
03:36What a Real AI Agent Actually Looks Like
03:35Stop Wasting 3 Days Refactoring AI Code
03:31Why the Industry Shifted from Traditional ML to LLMs: A Practitioner’s View from Banking
03:05Guarantees Over Probabilities: Engineering the Boundary Between AI and Everything Else
03:02Project INTEGRITY (1/4): The Grand Integration Engine
03:00Project INTEGRITY: A Self-Contained Logical Engine to Destroy the “Median” of Modern LLMs — A…
02:53Quantization: How to Run Billion-Parameter Models on Your Laptop
02:44The AI Shift — Issue #10: The Human Advantage in the Age of AI
02:36What is RAG? How Retrieval-Augmented Generation Makes AI Smarter
02:34Eid Special: 50% Off All My Books & Courses (Bundle + Individual)
01:37How to Build Scalable AI Agents with Microsoft Foundry Agent Service (GA)
01:35This AI Doesn’t Just Generate Code. It Evolves It.
01:31Stop Runaway Tool Loops
01:31Reward models: 9 signs you’re training the judge
01:31RAG Regressions? Check These First
00:47Agent Governance, Part 1: Who Decides What the Agent Is Allowed to Do
00:46Using LLM as a Judge for Company 360 and How Agentic AI Takes It Further
00:32Court Asked for the LLM's Reasoning. The Company Had Nothing. M
00:303 Cursor Agents You NEED Today
00:26The Paradigm Shift: From Prompting to AI Engineering (2/5)
00:24I Got Tired of Hallucination Tools That Only Answer the Wrong Question — So I Built a Danger Map
00:21Data Readiness as a Product
00:02OpenAI Plans Launch of Desktop 'Superapp'
00:01Map-Reduce: dividir para não ser conquistado
00:01Modern Questions vs Ancient Language
Friday, 2026-03-20
23:17The Complete RAG Developer’s Stack
23:15Introduction to NLP: What It Is and Why Text Must Be Converted into Numbers
22:38Why and How to Build your own Local AI Machine in 2026
22:38NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities
22:35Building a Production-Grade Multi-Agent System Without the Cloud
22:19AI Was My Secret Party Planner for My Daughter’s First Birthday
22:13AI in the Full Cycle: Act 1 — Design
22:01AI Agent Hijacking: The Hidden Threat of Indirect Prompt Injection
21:56How Generative AI Works: From LLMs to Real-World Applications
21:39Covenant-72B is the largest decentralized LLM pre-training run in history
21:34What a Voice AI Agent Really Costs on Amazon Connect
21:15Why I’m Learning GPU Programming for Faster AI Models
21:10Rust-native hybrid training and inference engine for Apple Neural Engine and GPU
20:42MCP Is Not Dead. You’re Just Using It Wrong.
20:21Generative AI Deep Dive: From Neural Networks to Large Language Models
20:12I Replaced My Entire Note-Taking System With Google NotebookLM — Here’s What Happened
19:38Build a Domain-Specific Embedding Model in Under a Day
19:36AI Won’t Kill Data Scientists. Being a Generic One Will
19:33The Weight Initialization Rabbit Hole
19:22Token Embeddings : From numbers to meaning
19:22The Three-Layer Mind
19:22The State of the Art: Memory in Modern LangChain and LangGraph
19:19Reinforcement Learning From Human Feedbacks(RLHF) in Large Language Models(LLMs)
18:56If you’re building anything with LLMs, this might change how you build anything.
18:47This Is It! — #47 We Are Now Building the First Interface to Nature
18:45India-First LLMs on Indian Languages: Sarvam-30B and Param2–17B
18:42The Proxy Problem: A Unified Theory of Tokenization
18:30Wikipedia RFC on banning LLM contributions
18:27Les 5 lois qui déterminent ce que les LLM reconstruisent de votre organisation
18:26La reconstruction probabiliste : Les LLM produisent inévitablement des versions déformées de vous
18:05Exploring VLMs Attention heads
18:02The Download: OpenAI is building an automated researcher, and a psychedeli
17:49The Missing Memory Hierarchy: Demand Paging for LLM Context Windows
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