LLM News and Articles

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Sunday, 2026-04-26
04:31RMSNorm, DeepSeek-V4, LoRA, RoPE, GQA, and Cross-Entropy Loss
04:30I asked my local LLM to add 23 numbers and got seven wrong answers
03:52How to Cut Down OpenAI API Costs: A Step-by-Step Guide to Tracking and Optimising Token Usage
03:46The People Getting the Most Out of AI Are the Most Scared of It
03:32Building an AI-Powered Hiring Platform with Google ADK and Gemini (Part 1)
03:31DeepSeek V4: The Technical Breakdown That Changes How We Build AI
03:24Microsoft Quietly Killed Opus on the Copilot Pro — Here's the Math on Whether You Should Cancel
03:16GenAI Foundations: LLM Evaluation
02:59DeepSeek-V4: The Open-Source Model That Makes One Million Token Context Practical
02:51I Built a NuGet Package That Stops Your LLM Bill From Exploding. Here’s the Story.
02:36Rethinking Anthropic AI skills as business processes
02:31AI for Frontend Developers — Day 36
02:24How AI Knows It’s Wrong: Understanding Loss Functions
01:10FD-RL: Cooking OCR with RL for Tables and Formulas
01:04Which Local LLM Can Actually Review Code? I Tested 9
00:58How LLMs Differ from Traditional NLP: Key Concepts, Uses, and Future Impact
00:48OpenAI shipped privacy-filter, a 1.5B PII tagger you can run locally
Saturday, 2026-04-25
23:44DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles
23:31Breaking Anthropic’s Vault: How to Run Claude-Like AI Locally
23:30Legal AI in 2026 is not a future trend — it’s a present reality with measurable impact.
23:26What the AI-Ready Data Conversation Keeps Missing
23:06DeepSeek V4 Turns “Cheap AI” Into a B Stack War
23:03Day 2: Why Beever Atlas Uses Two Databases — and the 6-Stage Pipeline That Feeds Them
23:01Agent Harnessing: The Non-Model Infrastructure That Makes AI Agents Actually Work
22:58How to Give Claude a Memory — Building Long-Term AI Agents in N8N with Vector Stores
22:55Day 1: Your Team’s Chat Is a Wiki Waiting to Happen — A New Kind of RAG
22:42How Bing SERP Features Improve LLM Accuracy, and Why Developers Should Use Them
22:40The Death of the Password (Finally): What Passkeys Actually Mean for Everyday Users
22:36xAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
22:29Show HN: LLM-wiki – One command Karpathy's wiki with QMD search for Claude/Codex
22:19What a Missed Dose, a Coffee Habit, and LangGraph Have in Common.
21:30A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing
20:07GPT-4.1 Passed the Benchmark. Then It Lied to My Face.
20:03Show HN: AI Visibility Monitor – Track if your site gets cited by GPT/Claude
20:01You’re Not Talking to a Mind. But Your Brain Doesn’t Know That.
19:57LLM-Rosetta: Zero-Dep API Translator for OpenAI, Anthropic, Google and Streaming
19:56Cooling Down Your LLMs: What Physics Actually Teaches Us About Multi-Agent Architectures
19:48Herbier Floramaar — Le Pissenlit
19:41Carnet d’atelier Floramaar — Article 4 La nature comme signature
19:36Beyond the Prompt: The Rise of Automatic Prompt Engineering with DSPy, GEPA, and TextGrad
19:31What are ML Systems?
19:22A weekend on the official Claude Agent SDK
19:19How AI Agents Actually Work — And How to Build One Yourself
19:13The Invisible Assembly Line: How ChatGPT Was Trained — and What It Cost Us
19:01AI Just Found a 27-Year-Old Bug in One of the World’s Most Secure Operating Systems.
18:51Show HN: Bulk URL Checker – check 75k URLs from any LLM via MCP
18:36I Fine-Tuned a 27 Billion Parameter Model as a Fresher. Here’s Everything That Broke.
18:26Why I stopped ‘keeping up’ with AI and started actually building again
18:24Mimari Değişikliği ve Transfer Learning ile Model Hızlandırma
18:19Anthropic: How we built our multi-agent research system
18:07When AI Knows the Neighborhood but Knocks on the Wrong Door
17:58Large Language Models
17:49OpenAI CEO apologizes to Tumbler Ridge community
17:45Can AI come up with new ideas?
17:40Amateur armed with ChatGPT solves an Erdős problem
17:27Chatnik: LLM Host in the Shell
17:16GPT-5.5 is a biased evaluator: authorship and order effects
16:30OpenMythos: It’s Not About Making the Model Bigger. It’s About Making Computation Smarter.
16:30OpenAI’s GPT-5.5 Doesn’t Feel “Smarter.” It Feels More Impatient.
16:29Show HN: 1gbps Tokenizer written in Assembly. 20x faster than HuggingFace
15:52Running Gemma 4 Multimodal On-Device on an Infinix Hot 60 with LiteRT-LM
15:51LogSentinel v2: Training Multi-Agent SOC Reasoning with Verifiable Rewards
15:51You’re Paying for Claude Pro and Using 10% of It.
15:48I research LLM adversarial attacks. Claude Mythos just made the core problem feel urgent.
15:45From Novelty to Protection: Why the Next Stage of ChatGPT and Health AI Is About Trust…
15:44What Models Can Do in the Lab
15:40AutoCraft Enterprise: Deterministic, AST-Safe Code Generation for FastAPI
15:39Three Lessons From Fine-Tuning a 5B Code Assistant
15:39The Attention Trap: Why HITL Fails by Design
15:34Building an AI Chatbot Using Natural Language Processing: A Deep Dive into NLP in Action
15:29I’m learning more about KV Cache and quantizing, and can now read 5% more tweets about local llms
15:22Being Early is Only a Death Sentence if You’re Building for a World That Doesn’t Exist
15:00Dünyayı Simüle Etmek: Dünya Modelleri Nasıl Çalışıyor?
14:17GPT‑5.5 Bio Bug Bounty
13:41Show HN: Chatforge – drag two local LLM conversations together to merge context
13:01DeepSeek V4 Just Launched on Huawei Chips First — No Nvidia Required.
12:48From GPT‑4 to Free LLMs: A Painful Lesson in GenAI Summarization
12:45Shipping Agents Into The Wild
11:56From 0 to : Five Layers of LLM Cost Optimization
11:49Why I Stopped Using Gemma 4 and Switched to Qwen 3.6
11:48AI Data Classification Made Simple: What’s Safe to Share with ChatGPT, Copilot, and Gemini
11:29The Curse of Being “Too Helpful”: Why Claude Opus 4.7 Is a Token Vampire
11:21GPT 5.5 flags accounts for "potential high-risk cybersecurity"
10:49Amália- Open Source Large Language Model (LLM) for European Portuguese
10:40Inside Claude Code — part 2
10:08How Kimi K2.6’s MoE Architecture Challenges Claude Opus: A Technical Deep Dive with Code Example
10:04What Are Large Language Models? LLM Meaning, Uses & Risks
09:51Why Building AI Systems Feels Messy: Until You Use Llama Stack
09:39Why LLMs Can’t Remember — And How We’re Fixing It: Episodic, Semantic & Procedural Memory Explained
09:38From Prompts to Precision: My Journey Learning Fine-Tuning Large Language Models
09:36Prompt Caching : Making LLMs Fast and Practical
09:20DeepSeek V4 Review
08:53Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git)
08:38The Reality Check: 5 Impactful Truths About How We Actually Measure AI Intelligence
07:59OpenAI Is So Done For
07:47Building Agent Skills for Claude Code — Only 5 Seats Left
07:39My AI Agent Returned Nothing. The Search Router Was Working Perfectly.
07:31ReAct Pattern — Reason + Act Explained
07:16The 1M Context Lie: Why V4’s Hybrid Attention Is the Death of the 8×H100 Standard
07:11Criando sua própria IA (LLM) para consultas
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