LLM News and Articles

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Monday, 2026-06-01
07:30I built my own AI operating system because I didn’t want to rent one
07:17We Raise AI Like We Raise Children. We Just Don’t Admit It.
07:15Building Powerful Language Models with Advanced LLM Data Collection
07:12Vector Databases Simplified: The Most Important AI Component Nobody Talks About
07:06The LLM Guide I Wish I Had When I Started Learning AI
07:00SkillOpt: Integrating Skills into Agents
06:56Autopsy of an 80B Finetune
06:54Building AI Systems Beyond Demos
06:32Why You Should Stop Doing Manual Research (And Build an Agent Instead)
06:04Stop Paying for Every Token - Amazon Bedrock Intelligent Prompt Routing
04:44Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action
03:59Full Attention vs. FlashAttention: A Visual Guide to the Memory Problem
03:45Agent Skills: Unlocking Reusable Intelligence in AI-Powered Development
03:31Spring AI Tool Calling Explained | How to Give Your LLM Real Superpowers
03:30What It Actually Takes to Build an AI Agent — A Technical Deep Dive
03:15Gliding Horse — I Chose Oxigraph as My AI’s Brain, and the Whole System Went Beast Mode
03:05Azure Document Intelligence vs LlamaParse: The Parser War Every AI Builder Will Face in 2026
03:01LLM vs RAG vs MCP: I Finally Know When to Use Each One
03:00Ontologies aren’t what they used to be… actually, the world has changed
03:00A Model Trained on 200M Samples Still Collapses — And One Constant Fixes It
02:18Top API Gateways for AI Applications and Agentic Workflows (2026)
02:18Google ADK + LangSmith: Comparing AI Observability with Datadog and Google Native Tooling
02:10Are AI Providers Turning Us Into Token Junkies?
01:37Breaking the Rules: Jailbreaking in Large Language Models
01:28Why ChatGPT Gives You a Different Answer Every Time (It’s Not Randomness)
00:03Karpathy LLM Wiki pattern integrated into Obsidian agenic workflow
00:00Your Scraper Returned a Clean Row. It Was Wrong.
Sunday, 2026-05-31
23:35When CPU Noise Slows Down GPU Inference: Measuring Scheduler and IRQ Impact with eBPF
23:09Will it fit? Knowing your GPU VRAM before you press run
22:503:22 a.m. Thoughts on Noise, Literature, Physics, and AI
22:43Prompt injection: quando a IA obedece a instrução errada
22:36Exploring How Massive Data is Cleaned Before LLM Pre-training
22:03Semantic Caching in Practice: Health Product Recommendation with Spring AI & Redis
21:50I found this Massive 10M Context Window AI Model
21:48AI / LLM Software Security: Part 1
21:30A (small) language model walks through its training text
21:26An AI Software Engineering Team That Runs on My Laptop.
21:20Show HN: Llmff v1.0 FFmpeg for Inference
20:35ChatGPT for Google Sheets exfiltrates workbooks
20:10Headroom compresses everything your AI agent reads before it reaches the LLM
19:51Beyond the Tutorial: How I Built a Smarter RAG Pipeline with Chroma, Hugging Face, and Llama 3.2
19:46From the Names Taught to Adam to AI Tokens: Do Large Language Models Really Know Everything?
19:39Âdem’e Öğretilen İsimlerden Yapay Zekâ Tokenlarına: Büyük Dil Modelleri Gerçekten Her Şeyi Biliyor…
19:37Unlimited cheap/free inference?
19:21Claude Opus 4.8 vs Opus 4.7: Same Price, Better Economics?
19:21Google Gemini: The Future of Multimodal Artificial Intelligence
19:10Open-Source AI Avatars Are Finally Becoming Useful
19:06San Francisco home accepts OpenAI, Anthropic stock as payment for .9M sale
19:03Local Mac Gemma 4 Deployment with MCP and Antigravity CLI
19:01Month in 4 Papers (May 2026)
18:46LangChain Intro — Before You Write a Single Line of LangChain, Read This!
18:30AI Product Management: Why Your PRD Fails and What Works.
18:283/10 Ways to Reduce Hallucinations in LLM Applications: Guardrails and Response Constraints
18:25Multi-Token Prediction (MTP): From Predicting the Next Word to Predicting the Future
17:52.md Files: The Quiet Kid Who Runs the Entire AI Classroom
17:27The AI Brain: Zero-Knowledge Tokenization and LLM-Driven Autonomous Dispatch
17:27Git-courer – A complete, JSON-first Git layer for LLM agents
16:37Talk Is Cheap: The Operational Impact of LLM Use
16:31How AI Agents Work
15:54Your Cat Understands the World Better Than ChatGPT, and One of AI’s Godfathers Just Quit Meta Over…
15:44Remove all LLM generated commits before people get hurt by this nonsense
15:42I Compared 6 AI Agent Memory Tools. Three Fail One Test.
15:41What Makes an Abstraction Worth Reusing? A Scientific Introduction to Abstraction Liquidity Theory
15:35Customizing Standard Python Packages
15:17The Rules of Writing by Steven Pinker
15:12From Cloud APIs to Running Fine-Tuned AI Models on Your Own Hardware
15:10AI Just Solved Erdős Math Problems Open Since 1970
15:01How I Use Promptfoo to Test and Grade an Agile AI Skill
14:48Large Language Models Explained: How ChatGPT Actually Works
14:35Self-healing RAG: turning the pipeline from a straight line into a loop that inspects its own work
14:31When you have an AI powered hammer, everything looks like a nail
14:09Claude Opus 4.8—The Model That Admits When It’s Wrong
12:56The Transition from Full-Stack Developer to AI Engineer
11:59Myth of Mythos: A Quick look at Claude Mythos
11:55AI Agents as Amplifiers of Stupidity
11:51Surya Gupta
11:20Mythos? Oh, Sure. Haha.
11:13AI Agent that at inference time updates it's harness and model weights
11:13Agents Got More Powerful. The Playbook Got More Important.
11:07One Domain, Done Properly — and the Bugs Three Reviewers Caught
11:03B is Robust. A is Fragile. Here’s the Data.
11:02Introduction to RAG: How Retrieval-Augmented Generation Works
10:49Inside the Transformer, Part 1: Embeddings — with Python
10:49I Built a RAG Pipeline. Then Reality Hit. Here’s Every Problem I Solved
10:47PagedAttention: How vLLM Solved the GPU Memory Crisis in LLM Serving
10:38The Invariant Sieve: How Arithmetic Spectral Theory Forges a Resilient, Calibrated Artificial…
10:37From Brain Mapping to Latent Spaces: Regularization Invariants in fmristat (2002) and Topological…
08:26Answerability-First RAG: Validating Evidence Before Generating Answers
07:33Artificial Intelligence/AI: It Is All Illusion
07:33How Large Language Models (LLMs) Work Internally: A Complete Beginner-Friendly Guide
07:10Cache hit rates of Inference are more meaningful than the headline costs
06:56The Graph Theory Behind Claude’s Opus 4.8
06:49AutoTTS: Researchers Automated LLM Reasoning and Cut Token Usage by 69.5%
06:46AutoScientists: A New Blueprint for Long-Running Scientific Agents
06:37The Great Infrastructure Capitulation: Why Frontier Labs are Evicting JAX and Abandoning the Custom…
06:31Day 11 of Becoming an AI Developer: Why AI Forget Things (And What Context Windows Actually Mean)
06:25AI Agents: Why Less Information Often Works Better
06:19Chunking strategies
06:14You Can Unit Test Your Code. But How Do You Test Your Prompts?
06:02The Mind Behind the Machine: A Deep Look at How Large Language Models Actually Work
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