LLM News and Articles

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Sunday, 2026-05-31
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
05:08Comprehensive Architectural Analysis and Operational Deployment Manual for Google Gemini Flash…
05:04RAG Can Read Text, VDR Learns to Read Documents
03:55models are crazy clothing shirt sample #1
03:33I Thought AI Agents Were Just Smarter Chatbots. Then I Discovered the Agent Harness.
03:31AI Models Are Just Guessing. So Why Are They So Scarily Good?
03:24Why is the Context Window limited in LLMs?
03:14The Real Magic Behind Chatbots Is Not Magic
02:50Building a Full RAG System with turbovec: The Memory-Efficient Vector Index That Needs No Training
02:42The First AI That Isn’t a Chatbot: A 102-Question Psychological Evaluation of Trinity PPAI vs a…
02:39Shipping Trillion-Parameter Models Without a Supercomputer: Understanding Delta Weight Sync in TRL
02:34Dynamic Programming (DP) & GPUs KV Caching
02:04Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
01:40Why Every AI Product Manager Needs a Token Economics Model
01:13The Evolution of LLM Inference: Decoding algorithms — Part 2
00:49Why Scaling Pre-training Loss Might Be Ruining Your LLM’s Reasoning
00:29The Consciousness Binary Is Failing
00:27Optimizing LLMs At Scale — I
00:21HullFT Explained Simply: Making LLMs Adapt at Test Time Without Becoming Too Slow
Saturday, 2026-05-30
23:52Why Building Editable AI Slides is Extremely Hard
23:44Optimizing Deep Learning Models with SAM
23:30LLMs and Same Hard Questions
23:17I Was Tired of Copy-Pasting Between NotebookLM and Obsidian, So I Built a Multi-Agent Pipeline
23:03ADO as Memory: How Our Pipeline Survives Session Death
23:03I Got Tired of Rebuilding the Same LLM Plumbing. So I Built LLMetry.
22:55How Github was hacked
22:18AIRA
22:17Your Smart Home Doesn’t Know When to Shut Up — or When to Act
22:17DeepSWE: More and cheaper intelligence from maxed GPT 5.5 than maxed Opus 4.8
22:13From Chatbots to AI Systems: What the Hugging Face LLM Course Reveals
22:07Show HN: Thaw – Git branch for a running LLM (fork agents, skip prefill)
22:01I Built a Tool That Automates Invoice Data Entry — Here’s Exactly How, and What It Cost Me
21:30The AI Security Blindspot: Why Prompt Injection is the New SQL Injection
21:04Why AI Intelligence Is “Jagged.”
20:24Everything We Know About OpenAI's Planned iPhone Rival
20:17768GB Intel Optane DIMMs to run 1T-parameter LLM with single GPU at 4tps
20:13Beyond the Black Box: Building Enterprise-Grade On-Premises AI for Highly Regulated Industries
19:50Nexa-gauge – LLM evaluation framework with per-node scoring controls
19:35Effective embedding
19:35How opensource eliminated the monopoly of Bigger AI Companies
19:24Show HN: React-Rewrite – A visual editor for React that writes code, no LLM
19:23Show HN: Use Kimi and OpenAI Subscriptions in Claude Code
19:16The Hidden Fatigue of AI-Assisted Work
19:12Structured Output: The “JSON State”
18:52I let Kiro build my API. It worked. Here is the honest debrief.
18:24AI Agents vs Agentic AI The Distinction Everyone Gets Wrong
18:18Encoder or Decoder? A Framework for Choosing the Right Architecture
18:14The human in the loop is still the bottleneck. And that’s the point.
18:11depwire diff — structural diff between two git commits, not just line diff (v1.7.0 of Depwire)
18:09GitHub Copilot charges GPT 5.5 with a 57x multiplier per request from June first
18:05Evaluating Planning Agents with LLM-as-a-Judge
17:47Build Intelligent Routing Workflows with LangGraph: Route User Requests to Specialized AI Tasks
15:43Building a Production Agent Harness: Turning Claude Code Into a Multi-Agent Engineering Pipeline
15:36Every AI Agent Runs in a Sandbox Nobody Talks About — Until One Escaped Its Own Cage
15:17Mistral says Europe has two years to build its own AI infrastructure
15:02Why Security Feels Different Around AI
14:57Day 2: Tokenization Demystified
14:56The FFN Inside LLaMA Is Not What You Think It Is
14:55Hitting Sub-100ms LLM Latency: Everything I Tried, What Actually Worked
14:54Should We Use Google ADK for Agentic Solutions?
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