LLM News and Articles

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Thursday, 2026-07-16
13:14Aware Matter
12:46Show HN: Quatuor – Kick back and watch 4 agents LLM talk to each other (FOSS)
11:59The LLM Critics Are Right. I Use LLMs Anyway
11:55Apple sues OpenAI after ex-engineer allegedly used bug to steal trade secrets
11:49Newer Models, Same Advantage
11:46Chinese AI startup Moonshot to launch model challenging Anthropic's lead
11:42Do you put rules or examples in your LLM context?
11:36OpenTelemetry for Generative AI: How One Standard Tames the LLM Observability Mess
11:29What is MCP? — The USB-C of AI Agents, Explained Simply
11:23Linus Torvalds position on LLM use in Linux kernel code
11:20How Bangalore Companies Are Preparing for the Next Wave of AI Hiring
11:17Why Agent Observability Will Become a Billion-Dollar Industry
10:44Model Routing Is Simple- Until Your Invoice Doubles
10:4110 Years to Build the Language. 11 Days for AI to Rewrite It. Then the Money Stopped.
10:41The Risks of Relying on Long-Context LLMs in Medical AI
10:34GPUs for AI in 2026: NVIDIA, AMD, Intel Compared
10:19Prompt Tuning: The AI Optimization Technique That’s Quietly Replacing Fine-Tuning
10:11Linus Torvalds on LLM usage in kernel development
09:3983% of Restaurants Are Invisible When Diners Ask AI Where to Eat
08:03At least 105 past YC founders have worked at OpenAI and Anthropic
07:51I Built My Own LLM Interface Without Writing a Single Line of HTML
07:24How Large Language Models Work — Explained Simply
07:13The Developer Pipeline: My Zepto Engineering Internship
07:00GPT-Red: an LLM super-hacker OpenAI built to make its models safer
06:54I Stopped Charging Users for My Own Outages
06:50RAG Is Changing: From Simple Search to Agentic Knowledge Systems
06:49Media Transparency Couldn’t Be Delegated. Neither Can This.
06:42Self-Hosted RAG on AWS: Qdrant, Ollama, and LangChain with Docker Compose
06:41Fine-Tuning Mistral-7B for Medical Q&A with QLoRA: A Practical Walkthrough
06:38Why Sending More Context Makes AI Worse
06:38I Ran an LLM on My Laptop Instead of the Cloud — Here’s What Happened
06:36Three LLM Agents Won a Kaggle Competition by Running 850 Experiments.
05:44Don't make one LLM call do retrieval and interpretation
05:38Model Selection Should Be a Weekly Review, Not a One-Time Decision
05:16A Grande Mentira dos Agentes de IA
05:08EU officials peeved after Anthropic sends junior staffer to testify about safety
04:41The Expensive Model Should Be the Brain, Not the Worker (Case Study: Reviewing FSD)
04:10Is Language the Key To Awareness?
03:48Building a Vocabulary: How Large Language Models Create Their Dictionary
03:46The Day Search Became Memory
03:39The “GPT-6” Launch Just Happened Into a World OpenAI No Longer Controls
03:21Inside Anthropic's state-by-state plan to ratchet up AI rules
03:12OpenAI and Guardian Media Group launch content partnership
03:07640 Agentic AI and LLM Interview Questions: The Complete Preparation Guide
03:07Designing a Production-Grade Enterprise Knowledge Assistant: A Senior GenAI System Design Interview…
02:53Flutter for AI-Powered Apps: Integrating LLMs and ML Kit
02:44Accelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUs
02:34You’re Paying for AI to Be Polite: How to Cut Your LLM Costs Without Sacrificing Quality
02:32Run 70B+ AI Models Without an 80GB GPU: Mesh LLM Turns All Your PCs Into One AI Supercomputer
02:28Building a Multi-Agent Self-Correcting Workflow with LangGraph and Gemini
02:26Same Prompt, Model Upgrade, Half the Answer
02:17The Complete Guide to LLM Inference: Transformers, vLLM & SGLang
02:16Finally! Some Damn OSAI Prep!
02:14SynapticOS: An Inference-First Runtime Architecture for Neural Processing Units
02:12I Reimplemented the Workflows of 40 Multi-Agent LLM Papers – Here Are Lessons
01:5327B Model Compressed to 3.9GB:
01:31Complete AI Engineer Interview Handbook (Part 2): Measuring Hallucinations and Evaluating LLM…
01:27Loop Engineering: A Newer AI Engineering Paradigm
01:08How Much Context Can a 27B Model Fit on a 24 GB GPU?
00:39Fusing a 27B ternary LLM's whole decode step into one CUDA kernel
00:14Show HN: MasterVault: Stop your LLM's context file from growing stale
00:12OpenAI is everything it promised not to be: closed-Source and for-profit (2023)
00:11Your AI Writes the Code. Who Reviews the Plan?
00:00Security incident disclosure — July 2026
Wednesday, 2026-07-15
23:48Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort
23:39I Built a Multi-Agent AI Incident Response System That Refuses to Guess
23:06Intro to diffusion LLMs for curious like me
22:38Anthropic Accidentally Made the Perfect Commercial
22:36Give Your Coding Agent a Disposable VM, Not Your Laptop
22:29How Will AI Impact Your Organization?
22:29Your eval pass rate is 98 percent. Your confidence interval is probably wrong.
22:26pxpipe Cuts Your Claude Code Token Bill by Turning Context Into Images
22:23Reproducibility Begins Before the First Prompt Is Run
22:23LLM Networking with MikroTik
21:57What is the best database for stateful AI agents in 2026?
21:43A Trillion-Parameter Healthcare AI Almost Nobody Noticed
21:40The cheap open models are out there. Actually using them is the annoying part.
21:02Soofi Consortium Releases Soofi S 30B-A3B: An Open Hybrid Mamba-Transformer MoE Foundation Model For German And English
20:59What is GGUF? And why you should know about this (and other formats too)
20:54OpenAI blames email mixup for why it didn't respond to Apple trade theft claims
20:33How Modelvir Is Expanding Opportunities Through Vertical Movies, Magazine Features, Jobs, and MMSS
20:05Anthropic to IPO as Early as October
19:26The State of Open-Source LLM Inference
19:22Anthropic May Have Built the Best Model. OpenAI Built the Better Product.
19:15LLM inference finops in 2026: the cost tracking playbook for engineering teams
19:15Your Single AI Endpoint Is a Liability
19:01I Gave Claude a Memory That Survives Between Conversations — Here’s the MCP Server That Does It
18:53Every successful GPT-Red attack becomes defender training data
18:47La ilusión determinista: por qué “funciona localmente” es una mentira.
18:47Challenges of Building LLMs: Cost, Security and Scalability
18:45LHIC – A local-first browser agent with 30ms latency and @@CONTENT@@ LLM cost
18:36How to Build an AI Voice Agent That Doesn’t Fall Apart
18:33Understanding Large Language Models: From Neural Networks to Production Inference
18:32Can LLMs Replace Actuaries? Probably Not — and Here’s Why
18:21The MCP Primitive Nobody Talks About: Sampling
18:19Loop engineering — Simplified.
18:14Inkling – Open-Weights 975B Parameter LLM
18:13Blog 5: Linear Regression and Various Functions
17:42The OpenAI Bubble
17:41GPT‑Red: Unlocking Self-Improvement for Robustness
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