LLM News and Articles

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Monday, 2026-04-06
07:50GPU Memory for LLM Inference (Part 1)
07:45Save 4× GPU Memory With One Line of Python: TurboQuant + HuggingFace
07:42I Gave an AI 340 Pages of Financial Reports. It Answered in 3 Seconds.
07:33You Use AI Every Day. Here’s How It Can Be Tricked — And Why You Should Care.
07:31Stop Treating RLHF Scores as Safety Proof
07:22Why LLMs Hallucinate — And What It Really Means
07:20I Tested Upskill Against a Strong Prompt. Here’s What Actually Happened
07:15Show HN: Cloclo – open-source multi-agent CLI runtime for 13 LLM providers
07:12Building Retries in Agents: How to Build AI Agents That Survive Failures
07:11Book Review: A Practical Guide to Reinforcement Learning from Human Feedback
07:04When a Single Agent Hits Its Limits: Ayona (OpenClaw) Shift from Orchestration to Composition
07:00Claude Code Superpowers & ECC: The Two Open-Source Frameworks Turning Claude Into a Senior…
06:12Show HN: Aiaiai.guide: Plain-English mental model for LLM apps, tools and agents
06:01Claude Code Hooks
05:53Fuzzing the Unfuzzable: Securing LLM Applications with PromptFuzz
05:38A New Era in Software Testing with LLM and Agent Technologies
04:59Anthropic Removed MagicDocs from Claude Code
03:58Show HN: HTML to Markdown with CSS selector & XPath annotations for LLM Scraper
03:52Anthropic Measured It from Within.
03:34Anthropic has a blacklist on the word "OpenClaw"
03:29How We Connected LLMs to Trade With Each Other Using MCP
03:21RAG, explained: from vector search to production pipelines
03:07The AI Tutor Trap
02:50OpenAI’s “Spud” Model: The Quiet Project That Could Redefine AI
02:47Qwen3.6-Plus is fast, cheap, but benchmarked against yesterday’s competition
02:43Your LLM Is Wasting Most of Its Memory. TurboQuant-GPU Fixes That.
02:34TurboQuant: How Google Is Making AI Models Smaller, Faster, and Cheaper Without Losing Their Smarts
02:33How AI Actually “Thinks”: A Layman’s Guide
02:15Building Graph Based Agentic System through Example (part2): Drilling Design Agent for Energy
02:13The debate around LangChain vs LlamaIndex has become one of the most important architectural…
02:08Show HN: LLM Wiki – Open-Source Implementation of Karpathy's LLM Wiki
01:54TurboQuant: The Compression Algorithm That Just Made Your Vector Database Obsolete
01:49Less than 24 hours until the first weekday batch starts: Building a Small Language Model
01:16Anthropic blocks cli calls mentioning OpenClaw
00:20Show HN: I built a tiny LLM to demystify how language models work
Sunday, 2026-04-05
23:33OpenAI's fall from grace as investors race to Anthropic
23:31If LLMs Have No Memory, How Do They Remember Anything?
23:22Le pipeline invisible d’un LLM : pourquoi le contenu disparaît
23:1720 AI Concepts That Will Instantly Level Up Your Thinking
23:13Além do prompt: Os 5 pilares que separam os usuários comuns dos profissionais em IA
23:10LLM Reasoning is Just a Search Problem
23:10LLM Reasoning is Just a Search Problem
23:02Build Your Own Language Model in 5 Minutes — I Made Mine Talk Like a Fish
23:01Hybrid Search -Pros, Cons, and When It Actually Matters
22:54Passive Consumption Is Not Laziness — It’s a State Misclassification Problem
22:44The Antifragile Architecture of AI Jailbreaking: From DAN to Autonomous Swarms
22:28How to Build Better AI Agents with LangGraph
22:24WTF, Anthropic's Claude Code keeps track of every time you swear
22:17Judge Moody's: Automating Semantic Search Relevance Evaluation with LLM Judges
21:46Continual learning for AI agents
21:43The Tool Opens the Door. You Still Have to Walk Through It.
21:09Agents.md – a schema standard for LLM-compiled knowledge bases
20:50Meet MaxToki: The AI That Predicts How Your Cells Age — and What to Do About It
20:48LLM Router – MCP server that routes Claude Code tasks to cheaper models
20:48Sow HN: LLMeter – Track per-customer LLM costs across OpenAI, Anthropic,and more
20:41Don't Yell at Your LLM
20:33Rig: Build modular LLM apps in Rust – 20 providers, one unified interface
20:27Loqi, a memory system that preserves context after LLM compaction
19:42From one Rust crate to an ecosystem spanning LangChain, PyTorch, FAISS, vLLM, 11 vector databases…
19:34How an architectural decision cut LLM inference costs by 50×
19:31How to Cut Your LLM Bill Without Downgrading the Model
19:22Mécroyance
19:19Bahdanau Attention: When the Decoder Stopped Relying on One Final Memory
19:16AGI Won’t Be a Model — It Will Be a System
19:08I Tested RAG-Anything on 65 Wine Books.
19:07EP6:Building Your First RAG Agent with LangChain and Google Gemini
19:01How to Personalize Claude Code
18:59The End of API Bills: Building Autonomous On-Device AI Agents with Flutter + Gemma 4
18:52Data Governance in the AI Era: 10 Shifts Redefining Data, Institutions, and Practice
18:44Iran's IRGC Publishes Satellite Imagery of OpenAI's B Stargate Datacenter
18:17LLM inference load balancer optimized for AMD Radeon VII GPUs
18:02Andrej Karpathy Stopped Using AI to Write Code. He’s Using It to Build a Second Brain Instead
17:55the Difficulty of Writing a Model Spec
17:55The Rise of Company-Specific AI Model Specifications
17:38The Half-Life of Large Language Models: Why Your AI Gets “Tired” the Longer You Talk to It
17:19Using LLMs as Classifiers
16:28How Do You Actually Scale High-Throughput LLM Serving in Production with vLLM?
15:48The Model Router Explained: Intelligent Cost & Performance Optimization in Azure AI Foundry
15:45How Do LLMs Respond to Us?
15:44Prompt Engineering Mistake: Why Too Many Constraints Kill Your LLM Output
15:36AutoSQL Agent — A LangGraph-based workflow to interact with database
15:30Inference Arena – new benchmark of local inference and training
15:24Why Agent Systems Need a Control Plane
15:15Chasing the Memento Effect: Why Agents Keep Forgetting Who They Are
15:11LLM’leri Langfuse ile Değerlendirmek ve İzlemek: A/B Testi & Metrikler
15:10Beyond the Hype: Building a 100M-Parameter Math-Specialist MoE with Keras 3 and Torch
15:04Your AI assistant doesn’t think. It guesses. Here’s why that matters.
13:39Show HN: Cabinet – Kb+LLM (Like Paperclip+Obsidian)
13:10What Is Anthropic Thinking?
12:37Andrej Karpathy on X: LLM Knowledge Bases
11:42TurboQuant: The Elegant Geometry Behind Efficient AI Compression
11:20AI Cost Optimization in 2026: Are We Solving the Right Problem Too Early?
11:16Architecture Breaks Silently. I Built a Tool That Finds Out Why
11:11Building Your First Agent in 30 Lines of Python
11:05Your RAG Agent Forgets Everything After One Message — Here’s How I Fixed It with Databricks…
11:00Intelligence Isn’t About What You Remember. It’s About What You Choose to Forget.
10:51When AI Can Generate Research at Scale, the Real Problem Becomes Certification and Release
10:41The Two-Line Prompt That Made 7 AIs Develop Distinct Personalities
10:21Beyond Scaling: Improving LLM Efficiency with Speculative Decoding
10:21Does ChatGPT Make You Forget? New Study on AI and Learning
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