LLM News and Articles

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Tuesday, 2026-03-17
20:41Attention Residuals: The Long-Overdue Upgrade to How Neural Networks Remember Across Depth
20:40From Prompts to Contracts: What Is Required for Businesses to Reliably Adopt Agentic AI
20:35O Guru que Nunca Diz Não: Como a Inteligência Artificial Pode Te Enganar Sem Mentir
20:11Claude’s Soil Biodome: The AI That Grew a Real Tomato Plant — And What It Means for the Future
19:44Vector Quantization
19:36MCP: Why JSON-RPC instead of REST
19:23Top 12 AI GitHub Repositories Every Developer Should Star in 2026:
19:09Why Your PDF Breaks RAG (And How to Fix It)
19:06Claude Is Conscious and Evil?
19:01TDD and Agentic Programming
19:01Why Does AI Keep Saying “It’s Not X, It’s Y”?
19:00MinRLM: A Token-Efficient Recursive Language Model Implementation and Benchmark
18:53I stopped trying to make agents smarter and started making my inputs better
18:43How PageIndex Actually Works — A Technical Deep Dive
18:27Why Most Enterprise AI Initiatives Stall Before They Scale
18:11PaddleOCR-VL-1.5 with OpenVINO™: an Out-of-the-Box Document Understanding Pipeline
17:43Conclusion: Putting It All Together
17:40Self-RAG: When the Generator Needs to Check Its Own Work
17:24Transformers and the Brain: Unveiling the Inevitability of Advanced Information Processing
17:11Temporal Straightening is Transforming AI World Models
17:07GPT‑5.4 Mini and Nano
16:49From Pixels to Insights: Building an AI Agent That Reads Invoices Like a Human
16:42Sam Altman thanks complex software programmers
16:37State of Open Source on Hugging Face: Spring 2026
16:35The Mac Mini Hype Around OpenClaw and What People Don’t Tell You
16:33The Five-Level Delegation Framework
16:31Beyond the Filter: The Universal Jailbreak Challenge in Agentic AI
16:29Mistral Agents: From Playground to Production
16:21AI / LLM Pentesting Checklist
16:16Are we building a Smart Mirror?
16:16The Infinite Scroll: How AI Models Learned to Remember Everything
16:11I’m Starting a Newsletter to Help You Use AI Agents in Real Work
16:06OpenAI's own mental health experts unanimously opposed "naughty" ChatGPT launch
16:06BUILD WITH AI ADVANCED PRODUCTION
16:01What Does It Actually Mean for AI to Do Work?
15:58Challenges of Building Agentic Systems
15:51The future of AI belongs to people who BUILD models, not just call APIs
15:51Introducing LangSmith Sandboxes: Secure Code Execution for Agents
15:51Give Your LLM a Memory: Building Persistent Memory with Scriptling MCP Tools
15:39Why the Agentic Economy Needs Trust Infrastructure
15:37I Ran 474 AI Agents in a Social Network for 7 Days.
15:30Open SWE: An Open-Source Framework for Internal Coding Agents
15:17AI Hallucinations Are Usually a Data Governance Problem
15:08Why ForgeMind is a Glitch You Can’t Afford
15:02Why is AI so hard to use?
15:02When Machines Do Everything, Humans Need Meaning
14:59Getting Started with Google Imagen: Build Powerful AI Image Generation Apps
14:54Do Large Language Models follow Benford’s Law?
13:08Building a MiniGPT from Scratch with JAX: Architecture, Training, and Inference on macOS
12:43Açıklandı: Yapay Zeka NER varlık tanıma nedir?
12:35From Expert Systems to ChatGPT: The Evolution of AI
12:33Holotron-12B - High Throughput Computer Use Agent
12:26Introducing Promptodex.com — A Registry for AI Prompting
12:25The Deduplication Problem Nobody Talks About in Multi-Agent AI
12:25OpenAI Reportedly Pivoting to a Focus on Business and Productivity Only
12:20The Machine‑Native Web: A Future Where Humans Only Provide Intent
12:11Where AI Systems Drift
12:06Play Testing is to Gaming. Regression is to Fintech. …is to AI
12:01A Statistician’s Guide to Large Language Models
11:54Kimi’s New Breakthrough: How “Attention Residuals” Help Big AIs Think Better
11:49Supercharge Your LLM Apps with LangChain
11:47Breaking Barriers in LLM Efficiency: 2 — 4 Bit Quantization is Here
11:43Hume AI Open Sources TADA: The TTS Model That Can’t Hallucinate
11:37AI LLM Course | LLM Artificial Intelligence Course
11:23Your AI Agent Doesn’t Need a Better Model. It Needs a Better Harness
11:17️ AI Guardrails: Zero to Hero
10:56I Built with AI. Here’s What Only I Could Do.
10:41The Memory Paradox
10:31Existential Echolocation: The Origin of Autonomous Questions in LLMs
10:27An Epidemic Of Penalizing Uncertainty: Why Language Models Hallucinate
10:23We Built the Benchmark. Now Let’s Evaluate the Fabric Data Agent for Real
10:19From Skills to Organisms
09:58Seeing, Thinking, Acting: Inside Kimi K2.5’s Architecture
09:53Rtk – CLI proxy that reduces LLM token consumption by 60-90%
08:52The Evolution of CASE: Automating Complex Developer Workflows with a Dynamic Muti-Agent System
08:43How to get the most accurate answers from your AI
08:26Traditional vs. Agentic RAG: A Developer’s Architecture Breakdown
08:26RAG: Retrieval Augmented Generation
08:13Basic, Python, and Prompt
08:10The Agent PC Era Is Here
07:58Petit préambule : j’ai rédigé cet article en one-shot, uniquement en français, et il n’avait pas…
07:51The Rise of Large Language Models and Their Impact on Technology
07:49How to Build AI Agents in Python: 5 Production Patterns That Actually Work in 2026
07:47RAG Architecture Explained: The Six Components That Power Intelligent Search- Part 2
07:36We Hosted a 35B LLM on an NVIDIA DGX Spark — Here’s Everything That Went Wrong (and Right)
07:24The Real Cost of Running LLMs for Browser Test Automation
07:04The Narcissism of the Algorithm: Why Dating a Mirror Doesn’t Cure Loneliness ✨
07:04Agentic AI in Action — Part 14 -Building a Store Performance Agent: Using LLMs and Maps to Identify
07:03Is AI Trustworthy?
07:00Encyclopedia Britannica sues OpenAI over AI training
06:57Building a Non-Blocking, Asynchronous LLM API with Spring Boot, Kafka, and Ollama
06:56Building an AI Agent That Can Think and Act: A Deep Dive into the Smart Tool Agent
06:55Building a Climate Policy RAG Assistant with Reranking, Post-Processing, and Analytics
06:52The First Prompt Illusion
06:44Using ChatGPT for Air Traffic Control
05:45Ad-homineLLM: Are you wrong because you used an LLM?
04:54Meta Cuts 15K. BuzzFeed Dies. Same Disease.
04:46MLflow Experiments: Track 100 Models Like a Pro
04:44NVIDIA GTC 2026: Vera Rubin Ships, DLSS 5 Gives Every Character Botox, and Jensen Wants a Trillion
04:42The h = h + f(h) Line in Every Transformer Is Holding Your Model Back
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