LLM News and Articles

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Wednesday, 2026-02-25
04:25Language As Infrastructure: Why Linguistic Precision Will Define the AI Era
04:25FinOrbit: A Production-Grade Multi-Agent Financial AI with RAG-Powered Regulatory Intelligence
04:24Vector Databases: Searching by Meaning — The Essential Engine of the LLM Era
04:17Building Openclaw from Scratch — Part 2 (Skill Plugin System)
04:05Your LLM’s Safety Filter Is Only One Message Deep
04:01Unlocking Massive LLM Savings: My Week with ClawRouter and Why It’s a Game-Changer
03:55Pete Hegseth goes to battle with Anthropic
03:31Load Testing APIs Powered by Large Language Models (LLMs)
03:27Prompt Engineering
03:25TCM Practical AI Pentest Associate (PAPA) — Course & Exam Review
03:23OPUS: Reimagining Dynamic Data Selection for LLM Pre-Training
03:21Your RAG Is Only as Good as Your Embeddings: Why Engineers Must Understand Vector Models
03:17The Encoder and How the Transformer Learns to Read
03:12Hegseth demands Anthropic to allow unrestricted military use of Claude
03:09MicroGPT by Andrej: Building a Transformer From Scratch in Pure Python (With Math)
02:59The Prompting Era Is Over. The Systems Era Just Started.
02:52From Log Analysis to Intelligent Decisions: A Practical RAG Architecture
02:35Implement Safe Guardrails for LLM Outputs
02:27Anthropic faces Friday deadline in Defense AI clash with Hegseth
02:23I Built a Tool to Make the Epstein Files Actually Searchable
02:14Your LLM Isn’t Forgetting. You’re Just Packing the Suitcase Wrong.
02:12You’re Shipping AI Output Without a Second Opinion. Here’s How to Fix That.
01:08Anthropic Drops Flagship Safety Pledge
00:33We Gave a Procedural Text Adventure Engine a Body, and Now It Knows How to Feel Exhausted
00:25A Beginner’s Guide to LLM Fine-Tuning Jargon
00:20US Military leaders meet with Anthropic to argue against Claude safeguards
00:19How I manage my OpenClaw that runs my life (prompts included)
00:18Pentagon Gives Anthropic an Ultimatum
00:12Efficient Prompting: The Missing Layer in Semantic Prompting
00:09MCP( Model Context Protocol ): The IKEA Manual AI Systems Have Been Missing
00:02Understand DeepSeek V3.2: Pushing the Frontier of Open LLMs
Tuesday, 2026-02-24
23:54Scaling MCP Servers: I Stopped Letting the LLM Orchestrate Multi-Step Workflows.
23:19Welcoming a baby into the world is one of life’s most powerful milestones
23:02Understanding YaRN Through the Lens of Signal Processing
22:57Governance and Tactical Fidelity: The H2E Framework in the 2026 World Cup AI Simulation with Gemini…
22:53Nusantara Spirituality: A Forgotten Model of Global Harmony By Heruli In an era increasingly…
22:46Mercury 2: Fast reasoning LLM powered by diffusion
22:31Nanbeige 4.1–3B — Quest for Agentic thinking
22:29Measuring Cellular AI Defenses
22:16Running vLLM using Nvidia DGX Spark
22:10Can We Measure Morality and Values in LLMs?
22:10Show HN: ComfyUI for HuggingFace Spaces
22:07Anthropic digs in heels in dispute with Pentagon
22:02Show HN: Mnemosyne – Cognitive memory OS for AI agents (zero LLM calls)
22:01Angular Just Made AI Code Generation Smarter — Here’s How to Set It Up
21:28MatX inference chip 500M raise
21:15Anthropic's Responsible Scaling Policy: Version 3.0
21:06Agentic Visualizing Code as Knowledge: Introducing the CodeToD3Explainer Agent
20:46.
20:45GPT-5.3-Codex available on OpenRouter
20:35Pentagon threatens to make Anthropic a pariah
20:12Software stocks rebound as Anthropic announces new partnerships
20:09Is it human or LLM?
19:59What if Machines Learn Patterns Humans Can’t See?
19:59Hegseth threatens to cut Anthropic from Pentagon supply chain
19:51The E=mc² of Our Generation: What AI Actually Is, What It Isn’t, and Who Will Win
19:44CrewAI Python Deep Dive: Build CEO–Coder AI Teams (DeepSeek-V3 + Tools + Docker Scaling)
19:43Mercury 2 : The Diffusion LLM With 1,009 Tokens/sec
19:41Forgetless: Smart Context Optimization for LLMs
19:40Hegseth warns Anthropic to let the military use company's AI tech as it sees fit
19:38GPT-5.3-Codex is now available for all developers
19:37Anthropic's Existential Negotiations with The Pentagon
19:36The Go Framework AI Coding Agents Actually Get Right
19:33Alibaba Qwen Team Releases Qwen 3.5 Medium Model Series: A Production Powerhouse Proving that Smaller AI Models are Smarter
19:31Why AI can solve your problems, but produces creative slop
19:28Recent Advances in Natural Language Processing (NLP) with AI
19:07The whole point of OpenAI's Responses API is to help them hide reasoning traces
19:01Optimizing Where It’s Safest: A Model-First Approach
18:57Building Multi-Agent Systems: When One LLM Is Not Enough
18:48“Les LLM hallucinent aux échecs et c’est normal”, vraiment?
18:31Hegseth gives Anthropic until Friday to back down on AI safeguards
18:30Fine-Tuning Language Models from Human Preferences — A Deep Dive
18:26OpenAI Bill Shock: 9 Reasons Costs Spike Overnight (And How to Find the Root Cause Fast)
18:23OpenAI, the US government and Persona built an identity surveillance machine
18:22OpenAI resets spending expectations, from .4T to 0B
18:14Anthropic touts new AI tools weeks after legal plug-in spurred market rout
17:54Anthropic accuses China of 'industrial scale' attempt to steal Claude
17:30HuggingFace Agent Skills
17:16AI Accuracy Alone Won’t Cut It: Why A/B Testing Matters
17:06Be Careful with LLM "Agents"
16:58Show HN: Open-source LLM and dataset for sports forecasting (Pro Golf)
16:56Making Assumptions Explicit: The Most Underrated Step in Enterprise AI
16:42Stop Talking to AI Like It’s Google — Here’s What Actually Works
16:36Subtask – Multi-LLM routing for Claude Code quota limits
16:28Anthropic Just Exposed Industrial-Scale “Distillation Attacks” by Chinese AI Labs — Here’s What…
16:17The Crisis Is Here
16:17The 0 Billion Divorce: Why Meta is Breaking Up with Nvidia for AMD
16:13Your AI Output Looks Expert. It Isn’t. Here’s the Fix.
16:09Can’t See the Forest for the Trees
16:02Autoscaling Hid Our LLM Cost Regression (85% → 4% Cache Hit Rate)
15:59Why I Choose Local LLMs Over Cloud APIs — And Why It Matters More Than You Think
15:53Building Openclaw from Scratch — Part 1
15:42Fine-Tuning Modern LLMs: from LoRA to GRPO, OpenEnv, and Agent Reinforcement Training
15:39OpenAI safety reps called to Ottawa after Tumbler Ridge, B.C., mass shooting
15:32OpenAI calls in the consultants for its enterprise push
15:31One “Helpful” Tool That Quietly Breaks Agents
15:31Tool Schemas Can Be Valid and Still Unusable
15:31When RAG Chunking Splits IDs and Tables, Answers Break
15:31Tool Contracts Don’t Age Gracefully — Unless You Do This
15:17Anthropic's new AI tool can write COBOL, sending IBM's stock tumbling
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