LLM News and Articles

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Saturday, 2026-02-14
11:07AI Updates — February 13, 2026: Agents ate the “middle layer”
11:05A Software Engineers guide to how LLMs work and associated glossary
11:04Large Language Models: Architecture, Optimization, and Deployment Techniques
10:17The Mental Model Behind AI Agents
10:17Attention Mechanism
10:08In healthcare LLMs are easy to fool
09:36You're Thinking About RAG Completely Wrong
08:53Logging Every LLM Token in Production: A Practical Guide for Engineers
08:30Understanding Large Language Models Through Indian Investing Examples
08:05Chunking Is Not Preprocessing — It’s Architecture in RAG Systems
07:59#Missing Pre-Validation to Distinguish Interface Noise from User Coherence Leads to Forced Logic…
07:50OpenAI should build Slack
07:49Build Your First MCP Server
07:41I Asked 4 AIs What They’d Do If They Had Real Autonomy. Their Answers Were Uncomfortably Human.
07:40Attention Optimizasyonları: Flash Attention’dan MLA’ya
07:37Why Different AIs Want Different Things[Gemini. Manus.Claude. GPT.]
07:31It “Followed Policy” While Breaking Every Rule
07:16When Bigger LLMs Start Making Bigger Mistakes
07:12How Debugging AWS Workflows Became Easier with LLMs and MCP Servers
07:10Why Feeling Lost in Programming Is Completely Normal
07:05Software Engineering Is Over
07:04The 48 Hours That Broke the AI Race Wide Open
06:57The AI Margin Trap
06:42They Asked Me to Open ChatGPT During My Job Interview
06:34ByteDance Seed2.0 LLM: breakthrough in complex real-world tasks
06:30Verification Debt: AI’s Hidden Cost to Engineers
06:29Aletheia: The AI Agent That Just Rewrote the Rules of Scientific Discovery
06:11Pytorch Lightning: Training Loops Made Simpler
05:36Why Do Some Businesses Adopt AI Fast… While Others Avoid It?
05:11Lockdown Mode and Elevated Risk Labels in ChatGPT
05:11How LLM Consulting Services Deliver Real Business Growth?
04:31The Reward Model Isn’t Neutral — Your Prompts Aren’t
04:23OpenAI attempts "First Proof" challenge
04:01Kimi K2.5 VRAM Requirements: What Fits on Common GPUs and How to Reduce Costs
03:44OpenAI accuses DeepSeek of "free-riding" on American R&D
03:16When I Realized Fine-Tuning Wasn’t Enough
03:16When I Realized Fine-Tuning Wasn’t Enough
02:53AgentRE-Bench: Can LLM Agents Reverse Engineer Malware?
02:46Fine-Tune LLMs Efficiently with LoRA (Step-by-Step)
02:42[arXiv] A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
02:31When Your LLM “Helps” Too Much: Fixing Intent Loss in a RAG Pipeline
02:26Goodbye, 4o
02:05Why LangChain Alone Fails in 2026: My Streamlit Switch Story
01:47Mastering GPT-OSS — MXFP4 (Microscaling FP4) — (6/6)
01:36OpenAI retired its most seductive chatbot – leaving users angry and grieving
01:31RAG Isn’t Broken — Your Context Windows Are: 10 Fixes That Work
01:31Your RLHF Looks Fine — Until These Evals Fail
01:31Our Model “Lied” Because the Logs Weren’t Reproducible
00:08OpenClaw + Terraphim LLM Proxy: Multi-Model Routing That Actually Works
00:06Fazendo um LLM do Zero — Sessão 05: Ensinando o Modelo a Falar (A Escola da Probabilidade) ️
Friday, 2026-02-13
23:44Vibe Coding (Best) Practices for Everyday Development
23:43The evolution of OpenAI's mission statement
23:43When MCP Meets Search Engines: Powering AI Agents with Enterprise Retrieval
23:36Mi nombre es Obe Mathew, y mi vida ha sido un viaje lleno de desafíos, pérdidas, resiliencia y…
23:29How to scale your LLM training — Part 4
23:16Stop Using APIs: How DLAM by rabbit inc. is Turning Your r1 into a Desktop Superhero.
23:04Pentagon Used Anthropic's Claude in Maduro Venezuela Raid
23:01Fazendo um LLM do Zero — Sessão 04: A Arquitetura da Mente (Construindo o Corpo do GPT) ️
23:00OK, so Anthropic's AI built a C compiler. That don't impress me much
22:45Embeddings and Vectors and LLM
22:27Beyond the Bit: Why We Traded Hamming Distance for Modern Vector Retrieval
22:26From Demos to Trust: Why Agentic Testing Matters
22:17OpenAI has deleted the word 'safely' from its mission
22:13The AI Revolution of 2026 - From Chatbots to Digital Coworkers
21:46Anthropic taps ex-Microsoft CFO, Trump aide Liddell for board
21:1215× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro
20:49UiPath Agentic AI: A Friendly Introduction to Automation That Thinks
20:48From Web Backend to AI Infrastructure — #2–1: Memory Optimization for LLM Inference
20:24Why Most GenAI Architectures Fail After the Demo
20:07Tiny Recursion Models (TRM): How tiny networks with recursion beat large models on hard puzzles
20:05Efficiency is not neutral: AI Agents and the erosion of entry-level Work
19:51Do LLMs Have Internal World Models?
19:33Study with AI — Model Parallelism
19:32Is This AGI? How Google’s Gemini 3 Deep Think Just Changed Everything
19:20GPT-5.2 derives a new result in theoretical physics
19:04AI That Investigates, Not Just Answers: The Promise of Recursive LLMs
18:57AUTOPSY OF A LIVING CODE
18:36LCMs, VLMs, SLMs, MoE, MLMs, LAMs, SAMs & LLMs — How All These Model Types Fit Into Modern LLM…
18:31MCP — Parte 2 da Série
18:31MultiLLM Interface, Smartest way to use AI!
18:22This is How to Validate ChatGPT Output Like a Human Expert
18:11The Core Bottleneck of NL2SQL and Its Breakthrough: The Correlative Empowerment of Arisyn…
18:05X-raying OpenAI's unit economics
17:45OpenAI Claims DeepSeek Distilled US Models to Gain an Edge
17:43Why Your Site Isn’t Showing Up in Gemini
17:34OpenClaw: When Intelligence Meets Memory
17:18OMLX – LLM Inference Server for Apple Silicon (Ollama for MLX)
17:11Curves Before Models — Part 2
17:09AI Gateway: What is AI Governance?
17:04AI Hype as Apologia
16:46Vectors & Embeddings: How Machines Turn Text and Images into Numbers
16:32AI as “World 3” Native
16:12The Dumbest Reason Systems Get Compromised Is Still Default Passwords
16:11What is RAG?
16:11What is RAG?
16:05Getting Started with Working with CodeLlama: Creating a CodeLlama Application
16:04Fine-Tuning GPT-5 for GPU Kernel Generation
15:55Geofinitism for AI Systems: A Finite Geometric Self-Model of Meaning and Measurement
15:48Por qué creamos un servicio de OpenClaw para el mundo hispanohablante
15:33Why Small Language Models (SLMs) Are Quietly Winning in 2026 — My Switch from Giant LLMs
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124