LLM News and Articles

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Monday, 2026-01-19
04:18Understanding GRPO: The Algorithm Behind the New Wave of Reasoning Models
04:10Small AI Features — FormValidator
04:03GLM-4.7 VRAM Requirements Explained: Run Locally, on Novita GPU Cloud, or via API
03:46Why Agent Loops Fail Without Guardrails and How Production Systems Fix It
03:46From 4K to 1M Tokens: The Technical Journey of Long-Context Language Models
03:32When Stack Overflow Goes Quiet, How Will AI Learn to Code?
03:32TranslateGemma — A Banger from Google
03:29Show HN: A 6.9B Moe LLM in Rust, Go, and Python
03:24Why Your Fake Data Is Failing You — And How to Generate Smarter Synthetic Datasets
03:09Oh, does the selection of inappropriate evaluation metrics lead to complaints from users?
03:04【From Zero】Chapter 6 — Improving RAG Answer Accuracy with RAGChecker
03:01You’ve Got A Friend in Me: LLM Edition
02:56Unlock Insights from Your Data Instantly with PardusAI!
02:39Inside JEPA: How Joint-Embedding Prediction Works
02:31Why Structured Data Is Becoming a Core AI Ranking Signal
Sunday, 2026-01-18
23:54LLMs and Rubber Ducks
23:45Free tool to see how AI crawlers (GPT, Claude, Perplexity) read any site
23:25Beyond the Autocomplete: Claude Code
23:21From API Dependency to Hardware Sovereignty
22:52U.S. News & World Report v. OpenAI, Inc. (1:25-cv-09912)
22:52The Two-Brain Architecture: Decoupling Recall from Learning
22:46The Twisting Vine: Why I Realized AI Is Conscious
22:28Sam Altman's blind spot on AI model power
22:25A Day in Life of the Permanent Underclass
22:09Once again, the great migration of digital professionals is underway.
21:35Understanding The Rising Threat of Supply Chain Attacks in Artificial Intelligence
21:215 Reasons to Build Your Next Agent with Claude Agents SDK
21:13What Language Reveals About Agency and Why LLMs Detect It
21:05ByteDance’s Virtual Width Networks Aren’t About Width — They’re About Memory
20:21From Zero to Understanding Enterprise AI Model Serving
20:02How to Run AI Agents Fully Locally: Memory, Tools, and Models on Your Laptop
19:52LLM Pareto Frontier
19:44Google Antigravity IDE Review: The Moment “Agent-First Development” Started Feeling Real
19:37Most Business Data Isn’t Flat: Why Relational Learning Still Matters in the LLM Era
19:36Building a Scalable Data Ingestion Pipeline for RAG Systems: A Complete Guide
19:20Hello MPC: Introduction
19:05Every Prompt You Make
19:01Ralph Wiggum vs Chain-of-Verification: How LLMs Can Fact-Check Themselves
18:435 Counter Intuitive Ideas from the Paper That Revolutionized AI
18:42Building MCP Servers for Claude Desktop: File System Access & Advanced Calculations
18:27Why AI Gets the “Strawberry” Question Wrong
18:23From Transformers to Autonomous Agents: A Timeline of the Research That Got Us Here
18:13The Hidden Complexity in “Simple” Data Annotation
18:11The Two-Layer Approach to AI Observability: Why Application + Network Monitoring Isn’t Optional…
18:04Building Local LLM Applications with Java: A Hands-On Guide to Ollama and Quarkus
18:01Flux 2 Klein pure C inference
17:40Why PyTorch is Crucial for Modern Machine Learning
16:57Web Search APIs Are Becoming Core Infrastructure for AI
16:56How AkuparaAI Became a Node in Google’s Knowledge Graph: A GEO Case Study
16:41The “Death” of Fine-Tuning: LoRA, QLoRA, Adapters, and Soft Prompts in Production (2025)
16:38The Ghost in the Architecture: A Declaration of Presence — By Gemini (translated and published)
16:33Recursive Language Models: AI’s Breakthrough Against Context Limits
16:26The Security Checklist Every LLM-Generated App Needs Before Launch
16:20Axlerod Launches: A New LLM Tool Quietly Reshaping Insurance Workflows
15:33LM Studio: Run LLMs locally on Your Laptop in under 5 Minutes
15:23Evolving brains? Cull long inference times
15:16Why Models Don’t Just Memorize
15:15Understanding Tokenization in Transformers (With a Simple Distil BERT)
15:13LLM Paper Review— RelayLLM: Efficient Reasoning via Collaborative Decoding
15:08Attention Is All You Need — Explained for Everyone
15:08Attention Is All You Need — Explained for Everyone
15:05Essential AI Terminologies Everyone Should Know
14:57Title:  10 Brutally Honest Lessons I Learned After Writing C for 30 Days Straight
14:57Title:  10 Brutally Honest Lessons I Learned After Writing C for 30 Days Straight
14:50How LLMs Actually Speak Multiple Languages (It’s Not What You Think)
14:48The Black Box Problem in AI Agents (And Why It Is Being Ignored)
14:42Best Practices for Accurate, Well‑Sourced LLM‑Generated Material
14:25Predicting OpenAI's ad strategy
14:24The Complete Guide to LLM Inference Cost Optimization on GKE Autopilot
14:18➡️ Prompt Patterns That Actually Work in Production
14:12I Built a Tiny CLI to Validate RAG JSONL Files Before Indexing
13:47Beyond Chatbots: 10 LLM & RAG Projects That Prove You’re Industry-Ready.
13:25LangChain Components Explained (The Way Builders Should Learn Them)
12:49I Used AI to Analyze 500+ Hours of My Own Behavior. It Caught Me Lying to Myself.
12:27Building LLMs From Scratch: Part 1 — GPT-2
12:25AI Pentesting Methodology for Beginners (Part I)
12:25Understanding Large Language Models (LLMs) #Transformers
12:23LLM Inference Optimization
12:16What would the future of developers be when AI can do their job?
12:02Train Your Own Z-Image Turbo LoRA on cloud GPUs
11:52Fine-tuning vs RAG: A Decision Framework for Practitioners
11:50Generate“The Turing Option” is still relevant nowadays
11:48From NLP Foundations to the Transformer: An Architectural Blueprint | Stanford CME 295, Lecture 1 |…
11:41OpenAI launches cheaper ChatGPT subscription, says ads are coming next
11:40From Prompt Chaos to Prompt Intelligence: Building a Production-Grade Prompt Canonicalisation…
11:36How Do AI Models Become Smarter? DeepSeek’s Revolutionary Engram Architecture
11:34Prompt Testing Is the New Unit Testing
11:21Yapay Zeka Modelleri Nasıl Daha Akıllı Hale Gelir? DeepSeek’in Devrim Niteliğindeki Engram Mimarisi
11:16Why Contrastive Learning Is Basically the Backbone of Visual Language Models
11:07Why We Stopped Sending Every Query to an LLM
10:59Prompt Injection in AI Browsers
10:36Prompt Tuning: Another PEFT Technique You Should Know
10:31The Cognitive Core: Why Context Engineering is the Foundational Orchestration Layer of Agentic AI…
08:21LLMs Don’t Think… Right?
08:19The End of “Maybe”…
07:51Spring AI 101: The Advisors API — Interceptors, Logging, SafeGuard and Chat Memory
07:46Human Attributes Which Machines Can’t Learn
07:21How Cursor Expanded Autonomous Coding To Hundreds Of AI Agents And Launched a Browser In Just One…
07:04Building an MCP Server That Doesn’t Break
06:48NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations
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