LLM News and Articles

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Friday, 2026-06-26
09:53What Are Large Language Models (LLMs)? How They Work
09:49Llama.cpp flags auto-tuning tool
09:28Anthropic Just Released the Same AI Model Twice. Only One Version Is Available to You.
09:28I Replaced ChatGPT With a Local AI for 30 Days. Here’s What Nobody Tells You
08:48Meet container: Apple’s Open-Source Swift Tool for Running Linux Containers as Lightweight VMs on Apple Silicon
08:37Paying for LLM inference by the kilowatt-hour instead of per token
08:26LLM Inference’ta 4-Bit Nicemleme: AWQ, GPTQ ve GGUF Karşılaştırması
07:55The Architect’s Dial
07:49Your AI Reflection Is Out There. You’ve Never Seen It.
07:44Why current LLM costs are not sustainable
07:26Why Smart AI Needs Dumb Code to Win
07:13Prompt Caching Explained: How to Slash LLM Costs and Latency Without Sacrificing Quality
07:11How to Estimate VRAM Requirements for Self-Hosted LLMs
07:10Why Every Business Needs WhatsApp Automation in 2026
07:01Cut LLM Costs 80% Without a Worse Model
06:57Google’s New SDLC Guide Draws a Hard Line Between Vibe Coding and Agentic Engineering
06:32I Stopped Writing Long Prompts. My AI Results Got Better.
06:24US Govt to individually approve who gets GPT 5.6
06:09An LLM verifier rated math proofs near-perfect; an expert found 17% correct
05:29Claude vs GPT vs Gemini: What the 2026 Model Race Actually Looks Like
04:28OpenAI will initially only release ChatGPT 5.6 to government-approved customers
04:14Why your AI uses the wrong information - even when you gave it the right one.
04:01AI Is Leaving the Model Race and Entering the Chip Race
03:46De mesas de juego de juegos de mesa (ha!)
03:36BERT Overfitting and the SBERT Solution: A Geometrical Perspective
03:20Three architectures, one lesson: let the LLM think.
02:34Encryption-Friendly LLM Architecture (D. Rho et al., arXiv:2410.02486)
02:31AI Doesn’t Know Everything — And That’s the Point
02:01Evaluating LLMs Without Vibes
01:59DevOps Open Agent Demo
01:32How LLM Hallucinations Propagate Into Brand Risk: What the Signal Pipeline Actually Looks Like
01:28Ornith-1.0–35B: The MoE Model That Runs Like 3B, Thinks Like 27B
01:11AI Engineer vs Data Scientist vs Machine Learning Engineer: Which Career Is Right for You?
01:11Show HN: Ludion – routing AI inference by observed WebGPU behavior
00:49Anthropic Accuses Alibaba of Largest AI Distillation Attack: 28.8M Fraudulent
00:00Run a vLLM Server on HF Jobs in One Command
Thursday, 2026-06-25
23:39Fugu: Not a Router. Not a Framework. So What Is It?
23:36Why “Treat AI Like a Person” Is More Precise Than It Sounds: A Case for Reading the Gap Map
23:32Why Does the AI Field Keep Reinventing Things We Already Knew? A Case for Treating AI Like a Person
22:49OpenAI will delay GPT-5.6 after Trump administration request
22:45Trump admin asks OpenAI to stagger the release of its new model
22:30JetSpec Enables Up to 9.64x Lossless LLM Inference Speedup with Up to 1000TPS
22:27Trump administration asks OpenAI to stagger release of GPT5.6
22:21Chinese A.I. Models Close the Gap with Anthropic and OpenAI
22:05The New York Times Amends Lawsuit Against OpenAI and Microsoft
22:01Top 20 Naive Bayes Interview Questions and Answers
21:54The US Government has requested a slow staggered rollout of GPT-5.6
21:44Ornith-1.0 and the Model That Writes Its Own Harness
21:08Gherkin as a Prompt
21:04NVIDIA NeMo Guardrails: The Open Source Toolkit Bringing Safety and Control to Conversational AI
20:52I Replaced a Pile of Regexes with One Structured Extraction Endpoint
20:47Trump administration asks OpenAI to stagger release of new model
20:42Record Type Inference for Dummies
20:36OpenAI Leans Toward Waiting Until Next Year for IPO
20:28OpenAI to Stagger Release of GPT 5.6 at Request of U.S. Government
20:26The 2026 LLM Inference Optimization Playbook: 5 Layers, 30+ Techniques, and What's Still Unsolved
20:25Mental Models in Your Brain, or the AI’s?
20:01A Guide to Large Language Model Systems
19:36Agent Development Life Cycle (ADLC): Building, Evaluating, and Operating AI Agents at Scale
19:31No, Your Chatbot Doesn’t Have Amnesia — It’s Drifting
19:307 Open-Source AI Tools That Feel Like Cheating in 2026
19:18Run Any LLM Locally in 2 Minutes
19:15The Ontology of Large Language Models: AI as Mirror, Witness, and Reflection
19:12Demystifying MCP: Why the “Future of AI” Looks Like the 1980s
19:05What Is an Agent Harness, and Why It Decides How Good Your AI Agent Is
19:01The Cheapest Token Is the One You Never Generate
18:54Self Attention Mechanism Made Simple: Examples, Analogies & Memory Tricks
18:35An LLM Only Writes Text. So What’s the Magic That Turns It Into Real Software?
18:09Build Your Own Local LLM Agent Workflow in 400 Lines of Python
17:34Fable 5 Wasn’t “Paused.”
17:11DeepReinforce Releases Ornith-1.0: An Open-Source Coding Model Family That Learns Its Own RL Scaffolds
16:11Which tokens does a hybrid model predict better?
15:57Unlimited OCR: The Open Source Engine That Finally Reads Long Documents the Way Humans Do
15:56Before You Upload a Single Invoice to AI, Make It Pass These 7 Tests
15:55GLM-5.2: I thought Sonnet 4.5 and similar open models were enough, but…
15:49First Contact: What is the Model Context Protocol
15:44The Trump White House Is over Anthropic CEO Dario Amodei
15:43The Verdict-vs-Hypothesis Pattern: Taming a Multi-Million-Row Agentic GenAI Pipeline
15:43Anthropic accuses Alibaba of largest distillation attack to date
15:43Your LLM Eval Needs Confidence Calibration
15:31Large Language Models: Architectures, Pretraining, and Roadmaps
15:31Substrate-Bound Coupling in Human-LLM Interaction
15:26Making a Prototype Agentic AI System Enterprise-Ready Part 1: The Agent Loop, Hardened for…
15:15I Tried 30+ LLM Engineering Courses on Coursera: Here Are My Top 5 Recommendations for 2026
15:01LAI #131: A Tool Call Can Succeed and Still Be the Wrong Tool
14:52The Digital Twilight
14:48PromptFlux and LLM-Aware Malware: The Next Evolution of Cyber Threats
14:27Large Language Models Are Overkill. Enter the Small Language Model
13:33A note to AI labs: In Both Humans and Language Models, Memory Is Reconstruction, Not Storage
13:32Show HN: Pith – A local-first desktop LLM wiki without vector DBs or embeddings
13:08Where every major LLM stands politically
12:54OpenAI won't let you "escape" freely in JSON mode
12:11Next Sentence Prediction: Teaching AI to Understand Story Flow
11:57Building Multilingual LLM Datasets: Challenges and Best Practices
11:43The RAG Tutorial No One Writes: Beyond PDF Q&A, Into Production
11:43Attention Is All You Need, And Here’s Why That Changed Everything
11:37The Internet Never Forgets...
11:33Push vs Pull Memory: A Better Way to Think About AI Agent Memory
11:31I built a score that’s allowed to fall. That’s a reason to trust it.
11:31Engenharia de IA em 2026: o salto entre testar prompts e construir produtos reais #26
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