LLM News and Articles

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Thursday, 2026-04-30
17:54From Text to Reality: What If We’ve Been Training AI on the Wrong Version of the World?
17:42Elon Musk says his xAI startup's models were partially trained on OpenAI's tech
17:21Four Months In 2026, and AI Already Looks Nothing Like It Did in 2025
16:32Model Accuracy & Performance
16:10Beyond the Training Wall: The Art and Science of Merging AI Models
15:51Accurate infographics with ChatGPT Images 2
15:456 Ways RAG System Failed (And the Fix for Each)
15:36What Your AI Model’s Name is Actually Telling You
15:27Sources: Anthropic could raise a new B round at a valuation of 0B
15:21A11: How a Cognitive System Thinks “Which came first the chicken or the egg?”
15:15RAG Evaluation Challenges and Practical Insights
15:14Millions of Calls, One Judge: How We Evaluated Our Voicebot in Production
15:02ChatGPT will tell you the truth after it stops mattering
15:01LAI #125: Karpathy’s Agent Ran 700 Experiments Without Him
14:42Four Ways ChatGPT Images 2.0 Can Be Useful for Your Business
14:38Devoxx 2026 : De l’IA sous toutes ses formes
14:33LoRA and QLoRA: The Math That Made Fine-Tuning Accessible to Everyone
14:31LangGraph vs CrewAI vs DSPy
13:57GPT-5.5 authorship and order effects
13:31676 Engineers across Google, Meta, Microsoft, OpenAI: OSS Performance +116% YoY
13:20Show HN: "Be horse." – a diffusion language model on an M2 Air
13:03The Illusion Before the Nudge
12:41Hidden Docker Tricks for Local LLM Development
12:20My Story of Building a TypeScript Framework
11:51Running Micro AI Data Center with SLURM
11:46Dual Memory Architecture (DMA): A Neuro-Inspired Way to Fix AI’s Memory Problem
11:44The Hallucination Gap: Why General LLMs Fail at Root Cause Analysis
11:41Mamba vs. Transformers: Architecture Comparison
11:30How Much GPU Do You Actually Need to Run an AI Model?
11:30Running LLMs Locally: Benchmarks, Optimization & Production Setup (Complete Guide)
11:30I Built a Magnetic Navigation Menu on Vibe Code Arena
11:28Building Your Own LLM Locally: A Complete Free Setup for Lifetime Use
11:24Anthropic Banned Your Claude Account? Here’s Exactly What to Do Next to Fix
11:21White House workshops plan to bring back Anthropic
11:21We Asked GPT-5.5 and Claude Opus 4.7 to Design 5 UIs
11:18Kuberay Batch Inference
09:57How much "Brain Damage" can an LLM Tolerate? (2024)
09:55White House Opposes Anthropic's Plan to Expand Access to Mythos Model
09:38Estimating Black-Box LLM Parameter Counts via Factual Capacity
09:27When AI Switches Languages Mid-Sentence: A Closer Look at a “Probabilistic Token Selection Quirk”
09:16Chrome looks set to ship an LLM Prompt API to the web. We oppose this API
08:57Elon Musk said OpenAI betrayed him after Microsoft deal
08:47Edge-to-Cloud AI Pipeline With Google Coral Dev Board: Smart Book Detection.
08:36AI Finally Made My Old Linguistic Intuition Visible
08:25NVIDIA Nemotron 3 Super: The AI Model That Thinks Beyond Simple Chatbots
07:50LLM 0.32a0 is a major backwards-compatible refactor
07:38The Million Blind Spot: Why the AEO Category Is Measuring the Wrong Turn
07:31From Prompt to Production — So far so good
07:31When Batch Inference Goes Wrong: The Hidden Cost of Tail Latency
07:28How vLLM Solves LLM Memory: KV Cache & PagedAttention Explained
07:23Beyond 80/20: High-Entropy Minority Tokens Drive Effective RL for LLM Reasoning
06:58I Stopped Trusting AI Benchmarks the Day My Token Bill Tripled
06:56What If a Database Could Dream?
06:48Automating Workflows: How to Trigger a GitLab CI Pipeline Directly From Jira
06:38Prompt Engineering and In Context Learning
06:28The Closing Window
06:19What “agentic coding” really means: Useful autonomy, bounded execution, and real control
06:13How I Turned Raw PDFs into a Smart AI Chatbot (RAG Explained with Intuition)
06:10Attention Mechanisms in AI: From Bahdanau to Flash Attention
04:51From Answers to Actions: Understanding Tool Calling in AI
04:35Hallucination in LLMs: Detection and Mitigation Techniques
04:28GenAI beyond the basics
04:03Understanding Artificial Intelligence
04:00OpenAI, Sam Altman Hit with Slate of Lawsuits over Mass Shooting Canadian School
03:31What AI Actually Means for Your Future (No, It’s Not the Chatbots)
03:27Less than 24 Hours, Seven Cores Released!
03:19Weekly AI Paper Notes — DeepSeek V4
03:07I Built Two AI Agents That Fight Each Other to Write Better Code — Here’s What I Found
03:05Inside the Social Mind of an AI: Can Interpretability Methods Identify “Social Cognition Circuits”…
03:02Motivation to learn AI tools, still you need the basic skills of thinking ability, problem solving…
03:01The Rise of the Agent OS: Orchestrating the New Digital Workforce
02:56Your AI Isn’t Dumb… Your Chunking Is Breaking It
02:39Knowing When the Model Is Actually Right
02:31GenAI Ka Asli Dum : LangChain Ka Assembly Line — Chains Se Banao Real Pipelines
02:24I Spent Hours Fixing My AI… The Real Fix Took 1 Prompt
02:08Musk Says He 'Was a Fool' to Provide OpenAI's Early Funding
02:07Musk casts himself as AI's good guy in testimony vs. OpenAI
01:31I Built an AI Code Review SaaS. Here’s the Architecture That Survived Production.
00:59Day 3 of Learning GenAI with LangChain
00:48New Book from Springer-Tsinghua “Autonomous Driving Handbook”
Wednesday, 2026-04-29
23:31Transformers Without the RNN
23:28Agentic Coding Harnesses: A Comparison
23:17Vibe: LLM agent virtual machine sandbox on Mac
22:40Are LLMs Capable of Original Thought?
22:39Google Just Reinvented Server-Driven UI. Mind the Scars.
22:39Why Most RAG Systems Fail in Production — A Dual-Layer Evaluation Framework for Reliable LLM…
22:36We Poisoned an LLM’s Training Data. Here’s What Broke (and What Didn’t).
22:19A Brief History of Modern AI: DeepMind, OpenAI, and the Race Between Discovery and Deployment
22:16Multi-Tool Agents: Web Research, File Writing, and Code That Runs Itself
22:14The Ebbing Field: Burnout, Prevention, and the Starving Spark
21:57Vector Stores Are Not Memory: A Proposal for Tiered Agent Memory Architectures
21:19The ERS Workflow: Making Small Models Reliable at Enterprise Scale
21:18How to Structure a FastAPI Backend with LLM Integration (From a Real Project)
20:37Knowledge-Based Systems ve LLM Entegrasyonu: Daha Akıllı ve Güvenilir Sistemler
20:05Why Scale Matters in LLMs: Data, Compute, and Parameters
19:44IN-DEPTH SURVEY · NATURAL LANGUAGE PROCESSING
19:40Why AI Agents Need More Than Language: The Missing Architecture Behind Autonomous Intelligence
19:28Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
19:26The Agent Isn’t the Problem
19:16Your LLM Bill Is Too High. Here’s How to Fix It (Part 3)
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