LLM News and Articles

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Wednesday, 2026-03-11
16:01NVIDIA Nemotron 3 Super
15:59Gemini Embedding 2: Google’s First Natively Multimodal Embedding Model
15:51The Most Honest Feedback I Got Recently Didn’t Come from My ‘Performance Review’ Or from ‘CTO’!
15:50Code Concepts: A Large-Scale Synthetic Dataset Generated from Programming Concept Seeds
15:48Karpathy is searching for the Agentic IDE
15:45Week 2, Day 3–30 Days of Generative AI for DevOps
15:39Can AI Change Your Mind? The Emerging Science of Persuasive AI
15:33How AI Agents Actually Use Your Code: Build Your First MCP Server with Python and FastMCP
15:32OpenAI's Race to Catch Up to Claude Code
15:31QORA-LLM-2B – Pure Rust ternary inference, no multiplication needed
15:28The LLM-Agnostic Way to Organize AI Capabilities using Agent Skills
15:28You’re Paying for AI.
15:28I Built an AI Agent That Researches the Web and Writes Reports — Here’s How It Thinks (Part-1)
15:25Deep Dive: How Weaviate Really Works Under the Hood
15:21Forget RAG: Why Preloading Context is the Future of Data Science
15:21Beyond RAG: The Graph-Based Data Science Future
15:21Why Do AI Models Lie Instead of Saying “I Don’t Know”?
15:16AI/ML Roadmap for Beginners 2026 (Step-by-Step Guide)
15:14Why Language is the Most Complex Data Set Ever Built
15:04Applying Statistics to LLM Evaluations
14:36Mastering the Three Pillars of AI Safety in 2026
14:11Terradev CLI Tutorial PT3: Inference
13:41AI is the new asbestos
13:23Anthropic controls Claude's outputs. Palantir controls its inputs
13:09Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
12:51Anthropic vs. Trump Administration: What Happens When Firms Push Back
12:48Large Language Model Optimization at Thatware LLP
12:38The Ultimate Guide to RAG Evaluation Metrics (2026)
12:32My RAG Pipeline Was Killing Doctors’ Trust. Here’s What Fixed It.
12:12You Trained the Model. Now You Rent It. Everything Changes.
12:09Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
12:07O Papel do Engenheiro de Dados na Era dos Agentes
12:01Beyond Linting: How AI Code Review Agents Are Learning to Think Like Senior Engineers
11:59Entendendo o Uso de Tokens do OpenClaw: Uma Análise Baseada em Dados
11:56The Dark Side of MCP: How AI Agents Expand Your Attack Surface
11:50I integrated Sarvam AI model in My AI Twin Solution
11:06Latency kills voicebots faster than bad models
10:23AI-Generated Malware: The Next Evolution of Cyber Threats
10:20Large Language Models (LLMs) and Their Real-World Applications
10:11I Built a Chaos Monkey for MCP — Here’s Why and How
10:06AI Benchmark Half-Life in Recursive Corpora
09:40Enable Web Access for OpenClaw: Mastering the Tavily Search Skill
09:37Which Claude Model to Use?
09:33AMI Labs’ .03B bet: a World Impact Model flow analysis across all system levels
09:15LLM & Rag Evals
09:06I Built an AI Air Quality Data Assistant That Answers Questions From Raw Sensor Files.
09:06The 20% Gap: How AI Benchmarks in Drug Discovery Are Systematically Overstated — And How to Fix It.
08:39Large Language Models Don’t Have Morality. They Model Moral Language.
08:37LangChain vs LangGraph vs LangSmith. A Beginner’s Guide to the LangChain Ecosystem
08:31Your JSON Equality Checks Are Lying to You
08:29Anthropic’s Internal Guide on Claude Skills — Here’s Everything Engineers Need to Know
08:08Nobody asked what LLMs can skip. That’s 85% of your tokens.
08:08Your AI Agent Is Executing Whatever the LLM Tells It To
07:37AI, War, and the Silicon Valley Dilemma
07:33The Most Popular AI Frameworks for JavaScript and Python (2026 Guide)
07:31The Parallel Paradox: How Transformers Think All at Once and One-by-One
07:28ChatGPT, The Pentagon, and the Backlash: When AI Ethics Collide With National Security
07:20From Turing to Transformers: The Turning Points That Built Modern AI
07:16Built a Production-Style RAG System With Qwen 2.5–72B,
07:08Gemini Embedding 2: One Model, Five Modalities, One Vector Space
06:51Developers Just Got a Superpower: Meet CodeFlex, the CLI That Writes Your Blog Posts From Git…
06:30Architecting for Attention: Solving “Lost in the Middle” in RAG Pipelines.
05:39The Pipeline Nobody Talks About: How Real MLOps Actually Works
04:57ATLAS — Scaling Laws For Multilingual Models
04:41Microsoft backs Anthropic to halt US DoD's 'supply-chain risk' designation
04:40Language Models in Indian Ancient Scriptures: A Comparative Reflection with Modern LLMs
04:37XSS Bypass to Zero Click Account Takeover in AI Chatbot
04:33From Natural Language to Production SQL: A RAG-Based Orchestrator with Auto-Correction
04:31AI Agents Don’t Remember You — So I Built a Memory System
04:31Tool Contracts That Stop Agent Misreads
04:31Agent Routing Rules That Stop Tool Thrashing
04:31How to Calculate LLM and RAG Costs in Production: Token Pricing, Infrastructure & Scaling Explained
04:20The Attack Surface Nobody Is Talking About - What Happens When AI Agents Use Tools ?
04:19Your Practical AI Learning Path: From Tools to Internals
04:14How to Zig where others Zag in the Modern AI Era
03:56From TF-IDF to Embeddings: The Complete Guide to Information Retrieval, Semantic Search and Hybrid…
03:35Transformer Architecture — LLM
03:31The Knowledge Decay Problem No One Talks About
03:19I Trained an LLM on Apple’s Neural Engine. The Chip Apple Never Meant For This.
03:10Data Engineers Just Became the Bottleneck for Every AI Project.
02:52Claude Flow: The AI Orchestration Framework Redefining Multi-Agent Automation
02:41The Anatomy of an Agent Harness
02:37LangChain Deep Agents: The Open-Source Claude Code Alternative That Works With Any Model
01:56The Monolith Strikes Back: Why LLMs Hate Microservices and Thrive in Monolithic Architecture
01:40LLM Guardrails
01:37LLMs Are Already Superintelligent — And That’s Exactly the Problem
00:31Flash Attention: The Memory Trick That Unlocked 1 Million Token Context Windows
00:25RINS: The Architecture That Finally Listened to Language
00:20RAG is not Dead. But blindly using it might be.
00:18Why Every AI Agent Needs a Memory Layer (And How to Build One)
00:18Building an Enterprise AI Data Catalog from Legacy Business Documents
00:15What Metrics Should Marketers Track for LLM‑Driven Search Performance in 2026?
00:07Beyond the Prompt: Why Your 2026 AI Strategy is Failing Without Agentic Orchestration
Tuesday, 2026-03-10
23:59Microsoft Agent Framework: Building an AI Agent That Generates Azure Bicep Templates from…
23:58State of AI 2026: The 0B inference subsidy, energy bottlenecks, and labor
23:49O conjunto Pareto de métricas para LLMs em produção
23:29The Ornithopter Problem in AI
23:24How to Reduce AI Agent Costs by 60% with FinOps
23:20I asked Claude to order on Swiggy Instamart. The AI cost behind it surprised me
22:56Two Aliens and a Translator Box
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