LLM News and Articles

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Wednesday, 2026-01-28
19:02From Bigrams to Transformers: Building a GPT Model from Scratch
18:53Building LLMs from Scratch: Python Practical Code Examples
18:52Show HN: A MitM proxy to see what your LLM tools are sending
18:43When Gemini Blocked My Singapore VM: A Real‑World Journey Through K3s, Cloud Run, Proxies & AI…
18:40The Art of Context Management: Strategic Approaches When LLMs Hit Their Memory Limits
18:34Is prompting new?
18:26Had LLM/AI build an unbiased quiz: Where in the World Should I Live?
18:24El Teorema de la Torrija: Validación Semántica y Clases de Equivalencia en LLMs
18:19Multi-Agent AI Systems: Architecture, Implementation Challenges, and Practical Insights
17:47Inside a Large Language Model: A Beginner-Friendly Tour of the Architecture
16:56When the founders of LMCache created Tensormesh, they built it on a foundation they knew inside…
16:52Why Most Business Advice Fails (And How AI Can Finally Fix Strategy Thinking)
16:37How AI is changing the memory chip race
16:32Recursive Language Model — Destroys the context window limit
16:28The Silicon Golden Rule: Why We Are Building The Monster We Fear
16:22Moltbot (Clawdbot) Deployment Guide: Leveraging Free NVIDIA APIs to Build Your 24/7 AI Assistant
16:12AI Automation Journey: From L1 Chaos to L3 Precision (Part 6)
16:12Moonshot’s Kimi K2.5 can spawn 100 AI agents to do your work
16:12Moonshot’s Kimi K2.5 can spawn 100 AI agents to do your work
16:11Context Management for Deep Agents
16:11Context Management for Deep Agents
16:05The Best Oracle We’ve Ever Built Wasn’t Magic
15:59The Capital Wall: Why 2026 AI Valuations Are a Blueprint, Not a Bubble
15:53The Transformer Has a Brain (and Sometimes It’s Faking the Thinking)
15:52Trump's acting cybersecurity chief uploaded sensitive government docs to ChatGPT
15:45The Complete Guide to Fine-Tuning LLMs and SLMs in 2026
15:34How I Enhanced Docling’s Image Interpretation Capabilities for Parsing
15:32Slopcraft and the LLM Society
15:31How I Run Cursor Sessions That Scale
15:29Where Strategy Meets Execution in AI Products
15:29The Silent Coup: How Google’s Gemini 3 Flash Just Redefined the AI War (And Why Everyone Missed It)
15:27LLMs Don’t Need to Be Smarter. They Need to Check Their Work
15:20Can LLMs Recover Meaning from Compressed Japanese Text?
15:15Efficient and Interpretable AI Models Through Sparse Nonlinearity
15:10Claude with Ollama
15:06Proprietary or Self-Hosted LLMs: Which Is Right for Your Business?
14:55Glass.AI, Company Databases and LLMs: Three Very Different Approaches to Business Research.
14:23Developing a Local LLM-Based Translation API with LangChain and LangServe
14:11Code Is Presupposition — The Invisible Shackles We See from GraphRAG
13:53Agentic AI — Part 1: Definition
13:38Why Most RAG Pipelines Fail at Chunking and How Chonkie Fixes It?
13:04Exploring TabPFN: A Foundation Model Built for Tabular Data
12:51If Your Robot Needs Months to Learn Me, It’s Already Lost
12:41Building a Production-Grade RAG System: From Structured Data to Intelligent Question Answering
12:32Context engineering and the shape of thought
12:25LLM Cost Optimization: A Complete Guide
12:20Getting More Out of GitHub Copilot with Fewer Premium Requests
12:18Beyond Vibes: How to Actually Evaluate AI Agents (Part 2)
12:08AI + Prompt Engineering: A New Way to Think About Software Testing
12:03SoftBank in talks to invest up to B more in OpenAI
12:02Architecting Agentic AI — From Reactive Retries to Adaptive Intelligence
11:30From Curiosity to Compression: Distillation and Quantization of a Custom T5 Transformer
11:23NVIDIA Fixes GRPO for LLM Training
10:50Show HN: RightSize CLI, Find the cheapest LLM that works for your prompt
10:47Beyond the Hype: Building an Enterprise-Grade RAG Architecture (Part 2)
10:46SimPO: The Alignment Trick That Removes DPO’s Hidden Tax
10:18Auditing Hallucinated Citations: A Production-Grade Toolkit for AI Research
10:15Domain Specific Language Models Book Review
10:10Small, Large, and Frontier Models: Comparing AI Models in Action
10:07AI — My bold prediction for the future of AI (Part 2)
10:05Depression
10:04Beyond the Hype: Building an Enterprise-Grade RAG Architecture (Part 1)
09:41LLM’s Don’t Just Flip From Natural To Broken
09:41The Architectural Divergence: Why LeCun’s .5B
08:36Building a Model-Agnostic GenAI Strategy: A Practical Guide (Part 2)
08:28WHY MYAIFINGERPRINT.COM ISN’T ONE PRODUCT. IT’S TEN PRODUCTS.
07:49The AI Security Handbook: Defending the Machine Learning Pipeline
07:47Breaking the Guardrails: What I Learned from Red Teaming an LLM
07:43LLM Guardrails: Why Backend Engineers Should Care
07:41Why MCP Still Matters in the Era of Advanced AI Agents
07:37AI-Driven Patient Support: The Future of Healthcare Customer Experience
07:33Making LLMs More Efficient: A Deep Dive into KV Cache Compression
07:31Tool-Using Agents That Behave Like Seniors
07:29'ICE Is Going Too Far': OpenAI's Altman Weighs in on Minnesota
07:14How Generative AI Works: LLM Models Explained for Beginners (2026)
07:02Best Open-Source LLMs for Research, Coding, and AI Projects
07:01AI Grading for Trade-In: Enabling Customers Through AI-Assisted Quality Assessments
06:58LLMs and GENAI Apps: Risk & Mitigations — Part 11: Unbounded Consumption!
06:23One Hundred Agents, One Command, Kimi K2.5 Just Rewrote the Rules of Automation
06:06“I’m done”: Why AI killed the coding tutorial
06:00Why LLMs Are Bad at Math but Great at Reasoning
05:48Building with A2UI: Extending the Expressiveness of AI Agent Interfaces
05:47Competence vs. Comprehension: The Philosophical Crisis of the Large Language Model
04:49Why Walking Away is the Ultimate Prompt Engineering Strategy
04:39Clawdbot (Moltbot):-Stop building chatbots. Start running an assistant.
04:36Kimi K2.5: My Deep Dive into the Future of Agentic AI and Developer Workflows
04:35Three Tiers of Language Models: Small, Large, and Frontier
04:31Hand-Crafting Domain-Specific Compression with an LLM
04:20How Multimodal AI Works
04:18The Future of AI Isn’t Smarter. It’s Persistent.
04:02A Practical Claude Cowork Alternative: Eigent Desktop
03:58Why LLM Agents Break in the Real World (and What to Do About It)
03:44Why MCP matters: A beginner’s guide to smarter AI integrations
03:28Dual-Sparse Architecture: How We Got 7x More Parameters Without Slowing Down
03:17Mistral Vibe
03:16What are word embeddings
03:00Replicate 1: What I Learned from Reducing AI Hallucinations with Prompt Structure
02:46Building a Production-Grade Text-to-SQL System with Hybrid RAG and Multi-Agent Control
02:45TERMINAL_LOG: THE_YEAR_OF_THE_SYSTEM: Why 2026 Belongs To Orchestration
01:56(3/3) LLM: In-Context Learning, Hype, and the Road Ahead
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124