LLM News and Articles

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Tuesday, 2026-03-24
05:13GPT from GPT: de novo microgpt
04:55The Code Editor Just Evolved for the First Time in 30 Years. Not for Developers. For Their Agents.
04:53Show HN: ArXiv metadata as Parquet files (2.99M papers, 1.44GB, 417 files)
04:38AI Reflection Explained: Teaching AI to Second-Guess Itself (and Why You Should Care)
04:31Reward Hacking Begins Before the Bad Output
04:31RLAIF’s Hidden Judge Problem
04:31RAG Context Stuffing: 9 Signs Your Window Lies
04:31Stable Until It Isn’t
04:31Retrieval Is Not Understanding
04:31Tool Choice Is a Safety Decision
04:22Model Context Protocol (MCP) for Dummies
04:22Model Context Protocol (MCP) for Dummies
04:19Is openclaw just a hype?
04:13Building a Production-Grade RAG System with Azure OpenAI + Azure AI Search
04:08From Models to Systems: Why AI Research Must Take Deployment Constraints Seriously
03:58AI Agent’lar: Sadece Konuşan Değil, “İş Yapan” Sistemler İnşa Etmek
03:55It Remembered.
03:43The Complete Blueprint to RAG Architectures: Types, Trade-offs, and Exactly When to Use Each
03:33Your Knowledge Graph Has Amnesia. This Paper From Bosch Fixes It.
03:28Fine-Tuning and RLHF: Making Transformers Actually Useful
03:23The Illusion of “From Scratch” AI: What Cursor & Kimi Reveal About the Future of AI Innovation
03:07The Two Techniques Making AI Actually Useful
03:03The Quietest Hack in the Room You can’t hear it. Your voice assistant can. That gap is the exploit.
03:01RAG is Not Enough: What Actually Breaks in Real-World LLM Systems
02:58Your AI Support Agent Isn’t Broken. It’s Just Forgetful.
02:50E-E-A-T 2.0: The Secret Sauce for AI Visibility Services
02:49When AI Stops Predicting Text and Starts Decoding Life
02:39Meet Chowkidar: The “Dependabot” for Your AI Models.
02:38We Spent Years Making LLMs Smarter. We Didn’t Notice They Became Harder to Control.
02:3110 RLHF alignment myths (and what actually reduces harm)
02:01A New Framework for Evaluating Voice Agents (EVA)
01:43When a Language Model Begins to Think a World
01:32How Tokenization & Embedding Actually Work
01:20Quando um modelo de linguagem começa a pensar um mundo
00:44Luma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
00:43Le web interprétable : publier pour être reconstruit — une doctrine
00:31The Real Skill Behind Prompt Engineering: Turning Thoughts Into Structured Instructions
00:26Beyond the Language Barrier: Why We Built a 99% Accurate, Zero-Login PDF Translator
00:05Writing an LLM from scratch, part 32f – Interventions: weight decay
00:03How I Taught Agents to Follow a Process (Not Just Write Code)
00:01How I Built a System That Saves Sales Reps 25 Minutes per Lead
00:01This 196B Open-Source Model Beats Claude Opus 4.5,
Monday, 2026-03-23
23:48Inteligencia Artificial para el diagnóstico de Fallas en Equipos Industriales
23:46Secret Hitler LLM Benchmark
23:45I Just Finished Columbia University’s “Building Customized LLMs with OpenAI” — Here’s Everything I…
23:30Can AI genuinely engage in critical thinking?
23:17An LLM System Is Incomplete Without Evaluation
23:15Show HN: VoidLLM – privacy-first LLM proxy (Go, self-hosted)
22:29Your AI System Works. Now What?
22:12Why ChatGPT Searches the Web in 2 Seconds (And Your AI Agent Takes 15)
22:09You’re Already Behind If You Treat Vercel AI SDK Like a Library. Most Developers Do.
22:04I don't understand how OpenAI can guarantee 17.5% returns
22:02OpenAI sweetens private equity pitch amid enterprise turf war with Anthropic
21:57RAG vs Fine-Tuning: A Decision Guide for Non-Technical Leaders
21:55AI Tutors Are Building a Generation That Can’t Fail
21:47Chat GPT 5.2 cannot explain the German word "geschniegelt"
21:37Join LangChain at Google Cloud Next 2026
21:37Anthropic for Science Blog
21:10OpenMath: Ontology-Guided Neuro-Symbolic Inference
20:51Anthropic builds Rust support for ConnectRPC
20:49Show HN: LLM Debate Benchmark
20:45Zero-hallucination knowledge engine – LLM never reasons, graph does all the work
20:26The Industrial Revolution for Financial Commentary
20:25From Hallucinations to Determinism: Securing RAG Pipelines with n8n and Anthropic Prompt…
20:15AI Agents Aren’t Magic — They’re Just Fancy File Explorers
20:15Beyond the Stochastic Parrot: The Rise of World Models in 2026
20:08OpenAI CEO Sam Altman Exits Helion Energy's Board
19:55AI Can Write Your Scientific Paper. Should It?
19:55Your AI is failing in production. Here’s how to know before your users do.
19:53LUMINA: LLM-Guided GPU Architecture Exploration via Bottleneck Analysis
19:44How I built a RAG QA Agent using Merger Retriever + Contextual Compression in LangChain
19:38LLM Proxy for Agent Containers
19:37Coding Your First AI Agent: A Stock Watchlist Agent
19:33LLMs Are Not Tools — They Are Untrusted Actors
19:31Claude AI: How It Works and Why It Stands Out
19:18Built a Go Inference Gateway for Ollama, Load Tested It, and Understood Why vLLM Exists
19:13Why AI Won’t Solve All Your Problems
18:52The Artificial Hivemind: Why GPT-4, Claude, and Llama Sound the Same
18:50Efficiency Meets Intelligence: NVIDIA Nemotron 3 Family
18:40I tried Karpathy's Autoresearch on an old research project
17:56OpenAI bought Astral, will I keep using uv?
17:29Two different types of agent authorization
17:19Modern AI Interfaces are rubbish
17:15A Beginner’s Guide to Transformers & Large Language Models — (Part -2)
16:41The Death of Manual Link Gardening✨
16:39MCP, Skills, Agents y CLAUDE.md — La guía que nadie te dio
16:39✅ Week 4: 30 Days of GenAI for DevOps✅
16:31Safe Rewards Are a Dangerous Myth
16:31Value Heads Drift While Dashboards Stay Calm
16:31LLM “intelligence” is a dark pattern
16:22When “Measuring Meaning” Measures Nothing: The Cosine Similarity Trap in Hallucination Detection
16:21RouteRAG: An RL Router That Teaches RAG When to Search
16:21How to Build Zero-Hallucination AI
16:21From Words to Numbers: A Deep Dive into NLP Feature Engineering
16:21Nobody Has Traced What Happens Inside a Time Series Transformer. Until Now.
16:16LLM Application Evaluation: A Practical Framework from Unit Checks to E2E Confidence
16:15Most People Are Faking Their Way Through AI Conversations — Don’t Be One Of Them.
16:15Stop Feeding Your LLM Raw HTML: Why Web Content Preprocessing Is the Missing Layer in Your AI…
16:13Codex with GPT-5.4 vs. Claude Code with Opus 4.6 – Why I Now Use Both
16:06Managing Multi Provider AI Workflows in the Terminal with Bifrost CLI
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