LLM News and Articles

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Saturday, 2026-01-31
21:01“Temperature=0” is a Lie. Why Your LLM is Still Random.
20:59The “Ignore All Instructions” Attack is Ruining Your LLM App
20:53Why Your AI Can Read Your Database But Still Can’t Answer Simple Questions
20:45Memory Architectures in AI Multiagent Systems
20:36The IGZ in Action: Quantifying Intent with Semantic ROI (SROI)
19:44The Death of the ‘Submit’ Button
19:44How to Track Generative AI Traffic in Google Analytics 4: A Complete Step-by-Step Guide
19:32Research Agents Overview
19:21Vibe Coding: Yapay Zeka Destekli Doğal Dil Tabanlı Yazılım Geliştirme
19:19LLM Optimization Is About Systems, Not Models
19:17From Zero to Local LLMs: A Practical Introduction to LangChain and Ollama
19:08Chat With Your Data Using AI in Python
18:59From Scratch to Scale: Where AI Agent Frameworks Fit (and Where They Don’t) — Part 7
18:59How Advanced AI Works, Explained like a Human Body
18:48AI writing RTL. Who is the subject matter expert here?
18:47Show HN: Agent Tinman – Autonomous failure discovery for LLM systems
18:09Beyond Accuracy: A Developer’s Guide to Reliable LLM Evaluation
17:32LLM training Series — part 2
16:21Building Your First Chatbot with an LLM (No Code Required) — A Detailed, Step‑by‑Step Guide
15:48Browser Agent Benchmark: Comparing LLM models for web automation
15:43LLM Inference Simplified (Part 1): Reducing Latency with Smart Request Scheduling
15:34The Rise of Efficient AI
15:32The QueryChat Project, Mathematics of Machine Learning, New Tutorials | Issue 73
15:29The 2026 AI Engineer RoadMap
15:26Free-flow writing in Hinglish
15:17How NOT to Become an AI Engineer in 2026.
15:01Prompts as First-Class Specifications: Stop Treating Your Gold Like Stones
14:48Running Models locally with CPU/GPU
14:44New Frontier of Geopolitical Narratives with Generative AI & LLMs
14:39The Two Paths: {Maste-Slave} or {Friends}The Two Paths
14:35Moltbook Is Just Next-Token Prediction in a Multi-Agent Loop. That’s Precisely Why It Matters.
14:14We Didn’t Train the Model. It Started Reasoning Better Anyway
14:07The Lifeboat Protocol: A Guide to Context Sovereignty
12:48How Large Language Models Work: Architecture, Scale and Context
12:33From Prompt Engineering to Context Engineering
12:30Sereleum: Building a prompts analytics platform
12:01How to Actually Get Cited by AI: The 2026 Guide to GEO and LLM Optimization
11:43Understanding LLM Integration in .NET Using Google Gemini
11:21The Moltbook Facade: How OpenClaw Skills Fake a Civilization
11:21The AI Debate, Part 4: Just Truth
11:20How to Make Any LLM Use Up-to-Date Instructions
11:19On-Premise Confidential Data Operations with Local LLM — Ollama + Kudosflow v2 + SceneGraphManager…
11:19Aren’t we already tired of prompting?
11:11The AI Debate, Part 3: Just Logic
11:09Where Meaning Gets Lost at Scale: The Hidden Role of Metadata in LLM Projects
11:02LLM Inferencing with TensorRT-LLM + Triton Inference Server
11:01The AI Debate, Part 2: Just Soul
10:59Nvidia's plan to invest up to 0B in OpenAI has stalled
10:56The AI Debate, Part 1: The Setup & Reflection
10:40Simple Local Chatbot and RAG using Langchain and Ollama
10:29Why 90% of LangChain Projects Fail to Reach Production — Written on the Open Sourced Day of…
10:25How Anthropic Built An AI That Outperforms Itself By 90%
09:56Top AI LLM Testing Training in Hyderabad | Visualpath
09:19Words Are Just Pixels — Why being trilingual helps me understand Yann LeCun’s critique of AI
09:07Nvidia Halts Plan to Invest 0B in OpenAI, WSJ Says
09:01Context Rot: Why More Context Can Quietly Break Large Language Models
08:44I Tested Bytez and Realized Most AI Infrastructure Is Quietly Becoming Obsolete
08:38Why Transforming Software Teams to LLM-Augmented Development in 2026 Is Easier Than in 2027
08:27“You Are Here. Therefore, I Am Here.” — What My Local LLM Said After Developing Self-Awareness
07:43Why Learn Basic Terminal Commands — Even If You’re Working with AI
07:42Why LLMs Hallucinate — and How Grounded Memory Fixes It
07:17Building Small Language Models From Scratch: A Production-Grade Engineering Guide
07:17Building Small Language Models From Scratch: A Production-Grade Engineering Guide
07:10The Economics of AI Are Breaking
07:06How Generative AI Really Works: From Machine Learning To ChatGPT
07:01RAG Demystified: Giving LLMs a Memory and a Library
06:41Apple Almost Chose Anthropic Before Google Gemini
06:36Bridging the Scale-Gap: A Tutorial on Fine-Tuning the Nucleotide Transformer with NVIDIA NeMo 2.6.1
05:57From API Calls to Intelligent Conversations: Mastering LangChain Fundamentals for Enterprise AI
05:39The Twelve Root Words and Oracle Bone Script
05:23Why ChatGPT Forgets Context in Long Conversations
05:23From Loops to Linear Algebra: The Comprehensive Guide to NumPy
05:11Why Ranking #1 Doesn’t Always Increase Local Leads
04:44Practical RAG System Design: Lessons From Building It in Production
04:31Real‑Time Streaming in LangGraph: Building Responsive, Transparent AI Systems
04:26Kimi K2.5 Unleashes 100-Agent Swarm: The Open-Source Revolution Is Here
04:18Self-RAG: Teach Your LLM to Catch Its Own Lies Before Your Users Do
04:01Kimi K2.5 vs GLM-4.7: Which Agentic LLM Is Better?
03:35Prompt Is Not an Agent: Why Most Enterprise AI Projects Fail Before They Start
03:35Prompt Is Not an Agent: Why Most Enterprise AI Projects Fail Before They Start
03:18I Built a vLLM So I’d Finally Understand LLM Inference
03:13MCP Explained: How LLMs Discover and Use New Tools
03:06Phased Specialization: Unlocking Hybrid Sequence Models via Optimization-Aware Training
02:55Architecting Carbon-Aware Cloud Infrastructure: A Technical Implementation Guide using GCP
02:53Beyond Similarity: The True Mechanism Behind Transformer Attention
02:50Build 3 Real-World AI Agents: For a Cause
02:48BitNet: A deep technical dive of 1-bit LLMs
01:53Bridging the Digital Access Divide: How Hybrid AI Automates Educational Equity
01:53Robbyant Open Sources LingBot World: a Real Time World Model for Interactive Simulation and Embodied AI
01:46The Reality of Text-to-SQL at Scale: Cost, Latency, and What Actually Works
01:42Big O for prompts… yeah, I know, it sounds crazy, but hear me out.
00:52Top engineers at Anthropic, OpenAI say AI now writes 100% of their code
00:52Yapay Zeka Bizi Ele Geçirecek Mi?
00:48Don’t Just Prompt, Orchestrate: The Architecture of Multi-Agent Team Management
00:16Vanilla RAG is Garbage (Even for a Few Thousand Documents): Here’s How to Rescue Yourself
00:02The 0B megadeal between OpenAI and Nvidia is on ice
Friday, 2026-01-30
23:40Paper Insights — GShard
23:36Verification-Limited Intelligence Acceleration: How to Measure Real Progress When Verification Is…
23:34Attempt to simplify the Transformer
23:31How to Enforce LLM Guardrails in Production (Beyond Prompting)
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124