LLM News and Articles

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Sunday, 2026-01-25
20:01AI Automation Journey: From L1 Chaos to L3 Precision (Part 4)
19:50Show HN: A Zero-Copy 1.58-bit LLM Engine hitting 117 Tokens/s on single CPU core
19:45Contamination Is Inevitable: How to Measure It Anyway
19:34El nuevo SEO es “matching”
19:28OpenCode & Local LLMs: A Practical Test with GLM-4.7-Flash and Nemotron
19:27“Local LLMs Are Finally Beating the Cloud!” — But Are They?
19:24GenAI LLM Chatbots aren’t Solving the XY Problem. That’s a Problem.
19:21New study disrupts the narrative that ChatGPT's launch triggered a job decline
19:16Extend Your Chatbot with Deep Research Using A2A
19:10Scaling Doesn’t Mean Better Reasoning
19:03What Real Value Agentic System Brings to Business?
18:51Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language…
18:44Social Simulacra and GaiaWM
18:43Why LLM Agents Fail Under Real-World Constraints
18:38What Happens When LLMs Meet Real Users
18:35Sam Altman's make-or-break year: can OpenAI CEO cash in his bet on the future?
17:37How does the Queriy, Key, Value structure work in a transformer?
17:36How LLM Sampling Parameters shapes the Model Output
17:18Anthropic keeps redesigning hiring tests as Claude gets smarter
17:11Your Prompt Isn’t the Problem. Your Context Is….
16:39Chatshell — An interaction layer for AI tools and workflows
16:38You Are an Agent – Try Being a Human LLM
16:35How LLMs Work: Tokens, Attention, and Transformers — Explained Simply
16:29Do Large Language Models Vindicate Skinner’s Approach to Language?
16:14What Is a Large Language Model? A Beginner's Guide to LLMs
15:54From Keywords to Conversations: A Simple Guide to Getting Better Answers from AI For Boomers and…
15:47The 2025 LLM API Playbook: How We Cut API Costs By 67% Without Sacrificing Quality (Part 3/3…
15:46AI Won’t Make Us Much Smarter. But It Helps Us Collaborate
15:45LangChain ile RAG (Retrieval-Augmented Generation): Dokümanlardan Doğru Cevap Üreten LLM Sistemleri
15:43Visualizing the Brain of AI: A Deep Dive into Training Architectures
15:41O quanto do poder do Claude é real e o quanto é hype?
15:30## Introducing AI Progress Controls
14:59Selara AI CTF Challenge — January 2026
14:33Foundation Models /LLMs for Time Series Forecasting
14:32AI Automation Journey: From L1 Chaos to L3 Precision (Part 3)
14:28PydanticAI Python Tutorial: Typed LLM Responses for CrewAI Agents (OpenAI + Real Code)
13:40Can mBART Translate Roman Nepali with Just 500 Examples?
12:42Are Uncensored AI Models the Future We Need — Or a Pandora’s Box We’ll Regret?
12:37The Problems Nobody Tells You About Running Llama 3 in Rust (And How I Fixed Them)
12:32How to Set Up Clawdbot — Step by Step guide to setup a personal bot
12:26The Magic of @AiService: Declarative AI in Java
12:07World Models, Language, and the Architecture of Understanding
12:05The Ladder to Nowhere: How OpenAI Plans to Learn Everything About You
12:04Vector Database vs Graph Database for RAG: Why Similarity Isn’t Always Enough
11:57The Architecture Mismatch at the Heart of Modern AI
11:53Beyond Prompt Injection: Welcome to the Era of Promptware
11:51State of the Art RAG
11:50The AI Boom Is Turning Into Plumbing (and the Leaks Are the Point)
11:47Google Takes a Hard Line on AI Hallucinations: LangExtract Hits 22k Stars with “Evidence-Based”…
11:40Dummies introduction to AI engineering at Scale : Part 1
11:25From Inference to the Axis Mundi
11:22How Tokenization, Embeddings & Attention Work in LLMs (Part 2)
11:17Mally — your ally for memory, powered by AI
10:54Why Tomorrow’s LLMs May Need a Memory Layer
10:05Designing a Local-First LLM Evaluation System
09:25From –k to 0k in a year. My LLM options trading experiment
08:45Why LLMs Struggle With Real Databases (And How to Fix It)
08:29The Context Problem: Why More Information Doesn’t Always Mean Better AI
08:18Capturing UI Interaction: Small models, big results
08:17The 67 Million Parameter Problem: How a Simple Linear Algebra Trick Made Giant LSTMs Actually…
08:16PagedAttention: The OS Trick That Made LLM Serving Scalable
07:47ChatGPT vs Perplexity: I Used Both for 30 Days — Here’s the Winner
07:45Redis Semantic Caching: Cut Your LLM Costs by 80% With Smarter Cache Hits
07:33Part1: Learning Transformers from the Ground Up
07:25Fine Tuning LLM with LoRA
07:18Part 1: Building a Scalable Multi-Agent Architecture
07:13Are Multi-Agent Systems Really Better?
07:08Show HN: Lumina – Open-source observability for LLM applications
07:07The Limits of LoRA: Why Local Fine-Tuning Can’t Improve “Computational Ability”
07:02When Microslop Yelled at Copilot to Shut Up
06:51 Clawdbot AI Is Replacing ,000 Virtual Assistants
06:46LLM & Conspiracy Theory
03:32Prompt Engineering: A Practical and Conceptual Overview
03:32The Hidden Math Behind LLM Caching: Semantic Keys, Collision Risk, and When “Reuse” Breaks…
03:21Seeing AI Models Clearly: Power, Design, and Use
03:02Building a Retrieval-Augmented Generation (RAG) System to Talk to Your Documents
02:57OAGI Explained: Why Some People Think We Should Raise AI Minds Instead of Just Training Models
02:48Challenges and Research Directions for Large Language Model Inference Hardware
02:33OpenAI's GPT-5.2 model cites Grokipedia
02:32MIT Just Proved the Case for Governed AI Orchestration
02:21LLM Scaling laws and their relevance in 2026!
02:17Differential Transformer V2 Changes the Attention Game.
01:37What is Microsoft Fabric? The Framework thats redefines Enterprise AI
01:31The Definitive Guide to ChatGPT Understanding the AI Revolution
00:576 Common LLM Customization Strategies Briefly Explained
00:47AI Friends: Helpful or Harmful?
00:09Why Agentic Workflows Are the Real Breakthrough in LLM Systems
00:04The Hidden Engine of AI: Cracking the GPT Tokenizer
Saturday, 2026-01-24
23:48Audit-Ready AI: Implementing the EU AI Act with Local Guardrails and Langfuse
23:41Next-Gen Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration
23:19How I Built a Local Uncensored AI Stack for Red Teaming in 2026 (Full Guide)
23:17Insights about Switch Transformers Paper
22:50I Built a Python Library to Strip Sensitive Data From My Training Sets — Here’s What I Learned
22:37Musk vs. Altman
22:32Introducing MindBalancer: The ProxySQL for AI
22:29Prompt Injection Is Not an AI Problem It Is a System Design Problem
22:16The Testing Gap Nobody Talks About: Why Your LLM Agent Probably Doesn’t Work As Well As You Think
22:13PLAN-AND-ACT: Improving Planning of Agents for Long-Horizon Tasks
22:08AWS Bedrock Explained: Your Gateway to Building AI Apps Without the Headaches
22:08I Built the Same Agent Three Times and Each Framework Lied to Me Differently
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