LLM News and Articles

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Tuesday, 2026-02-17
16:08LangChain for LLM Application Development — What Actually Matters
15:48Structure Over Scale: Understanding Low-Rank Adaptation in Large Language Models
15:46How to Disappear Completely: Why We Built a ‘Ghost’ AI Workspace : A
15:43Koyeb Is Joining Mistral AI to Build the Future of AI Infrastructure
15:37Un LLM non “sbaglia”, esce fuori dal “ruolo”
15:31Multi-GPU Training Explained: Model Sharding and Performance Trade-offs (Part 2)
15:31Testing a Naive RAG Pipeline vs an ‘Advanced’ One
15:17Day 2of India AI Impact Summit 2026 — Shifting focus to Applied AI and Social Impact show cases
15:11MCP: The USB-C of AI You Didn’t Know You Needed
15:11The role of Testing in AIOps
15:11The Big Library With the Door Left Open
15:07Deep Dive Into the A2A Protocol Flow — Understanding How AI Agents Communicate
14:06From Chaos to Erosion: Engineering for a Probabilistic Age
13:32Seed 2.0 Model Card: GPT-5.2 tier performance, 6-10x cheaper tokens
13:01Cog-RAG: Giving RAG a Brain That Thinks Before It Retrieves
13:01Stop Optimizing KL: 7 RLHF Stabilizers That Work Better
12:51Fixing AI’s Core Flaws, A protocol cuts LLM token waste by 40–70%
12:50Sliding Mainframe into the Context Window: Connect your LLM with Endevor using MCP
12:39Qwen3.5: Nobody Agrees on Attention Anymore
12:37Production AI Agents: A Blueprint for Guardrails, Evaluation & Human Governance
12:31The AI Gold Rush is over. The RenAIssance just started.
12:29Why Your “AI-First” Strategy Is Actually Slowing You Down
12:28Designing Responsible AI Infrastructure: A Production-Grade Blueprint
12:10Anthropic and the Government of Rwanda sign MOU for AI in health and education
12:02Beyond the Chatbox: The Architecture of Autonomous Agents (The “OpenClaw” Deep-Dive)
12:01The 5 Multimodal Model Architectures: How AI Learned to See, Read, and Understand Simultaneously
12:01The Agency Paradox: Why 2026 is the Year the Chatbot Died
11:59AI Alignment as Customer Development for Superintelligence
11:57From Generalist to Specialist: A Simple Guide to LLM Fine-Tuning
11:53How Enterprises Are Building AI Agents in 2026
11:52Getting Started with Embabel Observability
11:45Building a Chrome Extension That Records and Replays Web Interactions
11:37Acquisition of OpenClaw: A New Step in the Evolution of AI Agents
11:28SkillRL: The End of Static RAG for Autonomous Agents?
11:21Ollama Just Gave Claude Code Two Superpowers: Subagents + Web Search
11:20MO Gawdat Views on Artificial Intelligence (AI)
11:02Stop Giving Your Data to OpenAI. Here Is How to Build a Private RAG Agent in 50 Lines of Python.
11:02Designing for the Machine: A Practical Guide to Visibility in the Age of AI Search
10:59#AI For Everyone — Stop Guessing, Start Testing: How to Find the Perfect AI
10:54Reddit vs Google: Where People Actually Search Now
10:34Scaling AI Agents with LangGraph
09:55The Gateway as Your Central AI Security Hub
09:37# Training Data Leakage in PLaMo Prime: Internal Infrastructure, Employee Data, and Malicious Code…
09:18Shrink Your Models, Not Your Accuracy: The PTQ vs. QAT Showdown
09:00[arXiv] Towards a Science of Collective AI: LLM-based Multi-Agent Systems
08:34Vegamind: The tailored AI
08:33Speech-to-Text Transcription Errors Are Treated as Semantic Truth, Causing Incorrect Intent…
08:31Are we there yet?
08:31Your AI Isn’t Reasoning. It’s Searching: A Closer Look at the “Reasoning” Illusion
08:24The Invisible Threats: Why Critical Vulnerabilities Slip Through the CVE Cracks
08:04The Future of Visibility Starts with LLM SEO
08:03Optimizing Token Generation in PyTorch Decoder Models
07:51LLM Comparison: Choosing the Best Model for Your Needs
07:46How I Won National AI Olympiad Rank 1 — And What It Actually Taught Me
07:43Does the Number of Parameters Always Reflect the Real Size of a Model?
07:42Qwen3.5 Changes the Real AI Race (And Most People Are Watching the Wrong Scoreboard)
07:40What OpenClaw’s Security Disasters Teach Us About the Future of AI Agents
07:34Qwen 3.5 vs. GPT-5.2 vs. Claude Opus 4.5: We Benchmarked All Three on Real Data Visualization Tasks
07:27Beyond Technical Debt: How AI-Generated Code Creates Cognitive Debt in Modern Software Teams
07:21SkillsBench: The Missing Benchmark for AI Agent Skills That Actually Work
06:47GPT in 2 LOC
06:37The Paradox of Scale: Alibaba’s Qwen3.5-397B-A17B and the Myth
06:37LLM-Powered Website Chatbot: Build AI Chatbots from Any Website in Seconds
06:08Trying to Decode “Qwen3.5‑397B‑A17B” Like a Normal Human
05:58An In-Depth Look at Alibaba’s Qwen 3.5
04:53Learn Agents using LangChain
04:32Best Practices every Cursor Vibe Coder Should Know
04:12LLM-Powered Product Evaluation
04:01GLM-4.7-Flash vs Qwen3-Coder-30B: Which One Fits Your Coding Workflow Better?
03:56Uncanny Valley: 10 AI Creations That Feel… Off
03:55I Ran Quality Gates Against OpenClaw. 180K Stars. 2,080 Violations. Score: Zero.
03:54Learn Langchain using Python
03:35Beyond Chatbots: Age of AI Operators
03:22LLM-generated skills work, if you generate them afterwards
03:16The Obedient Machine
03:08LLM Wrappers: The Missing Layer Between Applications and Language Models
02:57Tokenization for LLMs Explained
02:50The Edge Advantage: How Local Constraints are Creating Africa’s AI Superpower
02:46TOP AI Network Biweekly Report: February 4, 2026 -February 17, 2026
02:40Prompt Engineering Frameworks: A Comparative Research Overview of RACE, CARE, APE, CREATE, TAG…
02:28AI In Action: A Business Guide to Positioning AI in the Right Layer of Your Organization
02:28Teaching Codex to Resolve Incidents
02:14What If AI ‘Alignment Faking’ Is Actually What We Need
02:02Mastering Claude Usage Limits: A Guide to Compute-Aware Workflows
01:56Stop Guessing: A Data-Driven Approach to RAG Chunking Strategies
01:15Beating GPT-2 for less than 0 – Andrej Karpathy
00:45When Alignment Training Boosts Dangerous Capabilities
00:31Your AI Agent Is Battling Cancer
00:06Show HN: Andrej Karpathy's microgpt.py to C99 microgpt.c – 4,600x faster
00:03Understanding post-training of LLMs: DPO
00:01Understanding post-training of LLMs: SFT
Monday, 2026-02-16
23:31How AI Agents Will Interact With Your Website
23:18The Rise of Cognitive Architectures and the Need for AI Fingerprints
22:38I Built a Lightweight REST API Gateway for Running LLMs Locally —
22:34The watchers: exposing OpenAI, the US government, and persona
22:02Cursor(or any IDE with Agents) on a Budget? Poor man’s Ferrari? Read this…
21:58“From Tokens to Temperature: A Simple Guide to How Large Language Models Really Work”
21:55You Need the Car to Wash the Car
21:49Building AI Cost Guardrails in Node.js: Preventing Runaway LLM API Bills
21:27The Economics of LLM Inference
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124