LLM News and Articles

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Sunday, 2026-04-05
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
08:27Gemini 3 Flash vs. GPT-4o Mini: The Battle for Real-Time AI Supremacy
07:41How Modern GPUs Accelerate Deep Learning and LLMs
07:40AI That Improves AI: What Happens When Agents Start Rewriting Themselves?
07:31The Hidden Failure Mode in AI Systems: Why Fixing Hallucinations Isn’t Enough
07:21Technical Architectures for GPU Cost Optimization and Precision Retrieval in Generative Artificial…
07:12Asking LLMs: “What do you think of my Sanskrit project so far?”
07:07Does Apple Silicon Device Really good for LLM inference?
07:05How to Add an AI Assistant to Your Software in 5 Minutes
06:56When AI Gets a Board Seat: Opportunities, Risks, and Limitations
06:54Saat AI Menjadi “Lahan Basah” Malas Berpikir: Bagaimana Menjaga Ketajaman Kognitif Mahasiswa di Era…
06:42You’re Not Safe From AI Yet
06:37BM25 in LangChain, LlamaIndex, and SynapseKit: Same Algorithm, Three Very Different Install Stories
05:27Functional Emotions in Large Language Models: What Anthropic Found Inside Claude
03:52Reviving a 5-Year-Old CFD Solver: What Claude Found in My Old C Code
03:41Large language models (LLMs)
03:09Google TurboQuant: Cut KV Cache 78%, Keep Full Accuracy
03:00Gemma 4: Why Usability Matters More Than Model Size in Modern AI
02:51What is BJT pork?
02:51Day 0: Project Piggy Bank Kick-off
02:44AI: The Footnote Is the Product
02:30Karpathy's knowledge base matches our Grep-is-All-You-Need paper
02:28From Stateless Chatbots to Context-Aware Systems: Exploring Memory in LangChain
02:27Show HN: Signals – finding the most informative agent traces without LLM judges
01:37The Thinking Block Is a Research Instrument Few are Using
Saturday, 2026-04-04
23:54I Ran ALL 4 Gemma4 Models on Apple Silicon — The Results Surprised Me
23:46I Can’t Write Code. So I Built a Team of 86 AI Instances Instead.
23:37What is AI Harness Engineering?
23:21What traditional Machine Learning can tell us about Agentic AI
23:20The LLM Boundary
23:12TurboQuant Is Quietly Solving LLM Inference’s Worst Memory Problem
23:01Developing GenAI at Scale
22:58Banning All Anthropic Employees
22:13On LLMs and Identity
22:12The memory leak you never knew you had: a surprising performance pattern in LangChain’s…
22:09The Language That Begins to Think — The Machine That Begins to Live
22:07Inside the Inference Engine: How LLMs Process Context, Build Memory, and Can Be Taught to Read the…
21:59vLLM introduces memory optimizations for long-context inference
21:40LLM 'benchmark' – writing code controlling units in a 1v1 RTS
21:30I Spent a Day Learning How AI Actually Works — Here’s What Nobody Tells You
21:01Local LLM for OpenCode Gemma 4 26B A4B. No GPU required
20:01The Dreaming Dark Knows Its Own Name
19:54Why Markdown Matters for AI
19:53AEO Optimization for B2B Companies: The Complete Strategy to Dominate AI Search and Google Rankings
19:51EverestQ: Building Nepal’s First Multimodal AI Platform for the Next Generation of Intelligence
19:41Are AI Models Feeling Emotions or Having Conscious Experiences?
19:41Tokenized Ws and Bs: Ts and Ms (tokens and models) MOST UNHINGED AI
19:28The Model Of Secrets: Replicating a Billion Corporate Security Model in My Spare Bedroom
19:20Contextual Retrieval
19:11A Máquina que Pensa
18:38Week 9: From Tokens to GANs
18:36EP5: Why Fine-Tuning is the secret sauce of modern AI?
18:30Go-LLM-proxy v0.3 released – translating proxy for Claude Code and Codex
17:18I Tested All 4 Gemma 4 Models: The 26B One Is Cheating (In the Best Way)
17:07Schema-first prompting: when your model is more important than your prompt [SKILL]
16:57LLM Wiki – example of an "idea file"
16:01Understanding AI Agents and Large Language Models: The Foundation of Intelligent Systems
15:52From Vague to Precise: What a Simple Prompt Experiment Reveals About AI Output
15:51Compilation for LLMs: Why a Language for Models Needs Native Code
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