LLM News and Articles

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Thursday, 2026-01-22
00:02How to Choose the Right Open Source LLM in 2026
Wednesday, 2026-01-21
23:39The Hidden Crisis of Prompt Sprawl (And How to Fix It)
23:21In Davos, Demis Hassabis bets 50/50 AGI arrives in five years
23:01O Cérebro por Trás da IA: Desmistificando o Banco de Dados Vetorial
23:01Maverick: Teaching Machines to Play Poker (and Talk Back)
22:41Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant
21:23A IA não entende contexto, e você também não
21:11LLMs Under Siege: The Red Team Reality Check of 2026
21:058x AMD MI50 32GB at 26 t/s (tg) with MiniMax-M2.1 and 15 t/s (tg) with GLM 4.7(vllm-gfx906)
20:34Claude, Code Thyself
20:33ChatGPT Self Portrait
20:27AI İnceleme #1 — Android Developer Gözünden LLaMA
20:01Show HN: ChartKit – 14 React charts in 15KB, zero dependencies, LLM-ready
19:51Apple to Revamp Siri as a Built-In iPhone, Mac Chatbot to Fend Off OpenAI
19:48“You’re not Claude’s primary concern”: What Claude’s 15,000-word constitution tells us
19:45OpenAI API Logs: Unpatched data exfiltration
19:33Why AI Writing Feels Noncommittal
19:17Welcome to Batching Hell in LLM Inference
19:10Trina Reynolds-Tyler is Holding Power to Account with AI
19:09Recursive Language Models: In-Depth Explaination
18:48Runnables in Langchain.
18:40How MCP Servers Use Your Context Window
18:35Use LLMs for Translation and Fallible Reasoning
18:34LangGraph vs Google ADK: Choosing the Right Framework for Multi-Agent AI Systems
18:30Skills-Driven Ralph Agents in Action
18:01Ever wonder what prompts are actually being sent to LLMs?
17:51Context Kills VRAM (Running LLMs on a Local GPU)
17:50Building “DocuMind”: Moving Beyond Basic Chatbots with Dual-Architecture RAG and LangChain
17:49Where does AI learn about a company? ✨
17:47Stop Paying for Claude Code, Build Your Own for @@CONTENT@@
17:00Deploy agents instantly with Agent Builder templates
17:00Deploy agents instantly with Agent Builder templates
16:30Building Multi-Agent Applications with Deep Agents
16:30Building Multi-Agent Applications with Deep Agents
16:15Show HN: Unified Python SDK for Multimodal AI (OpenAI, ElevenLabs, Flux, Ollama)
16:15Three types of LLM workloads and how to serve them
16:12LangExtract Overview and Core Capabilities
16:12LangExtract Overview and Core Capabilities
16:10Recursive Language Models (RLMs): A Technical Deep Dive into the Infinite Context Paradigm
16:08A Beginner’s Guide to Artificial Intelligence: From Core Concepts to Modern Marvels
16:02Agent Routers That Don’t Spiral
16:02Agents Are Growing Up
16:01Anthropic's CEO stuns Davos with Nvidia criticism
16:00Compilersutra Live Session
15:54APRO 2026 Roadmap: Constructing the Verifiable Intelligence Layer
15:53How Long Does an iPhone Take to Process 1 Billion Tokens?
15:49The Transformer Revolution: From Early Neural Networks to Modern AI
15:46Automating Product Part Categorization with AIP Logic: A Human-in-the-Loop Approach
15:42What more proof do YOU want?/Que más pruebas quieres?
15:30Eliza, Ghosts and no (A)Intelligence - WYSINWYG
15:27From Tokens to Thoughts: Inside Meta’s VL-JEPA World Model
15:24Getting Started with Go + Genkit: Build a YouTube Analyzer App
15:24Show HN: Belgi – deterministic acceptance pipeline for LLM outputs
15:22What enterprises should ask an LLM Development Company before signing a contract?
15:17Pull requests with LLM attribution are predatory behavior
15:10AI Agents in E-Commerce: Unlocking New Horizons for Algeria Beyond Traditional LLMs
14:39Claude Code Sandboxing
14:04Vibes Are Not a Metric: A Guide to LLM Evals in Python
13:04What is NotebookLM and Why You Should Start Using It Right Now
12:49Step-by-Step: Build a Text-Generating LLM from Scratch Using Your Own Dataset (2026 Guide with…
12:32Why Agentic Systems Need TOON, Not Just JSON
12:32How a Chinese Hedge Fund Trader Wiped 9 Billion Off Silicon Valley in 24 Hours
12:28How to scale your presence inside LLM results: Playbook for 2026
12:12The Definitive Guide to LLM Fine-Tuning: Objectives, Mechanisms, and Hardware
12:04Architectural Due Diligence for LLM-Native Products
12:03Context Strategy: Why Uncontrolled AI is Breaking Software Development
12:03How I’m Running My Own AI Agent as an Engineer in 2026
12:00The Rise of MCP: How a “USB-C for AI” Is Quietly Reshaping the Future of Intelligent Systems
11:55What No One Tells You About Evaluating LLM Applications
11:43LLMs Understand Rhetorical Structure Theory
11:37Why Fine-Tuning Large Language Models Is So Expensive
11:31How to Administrate Servers with Codex and ssh-mcp
10:31Top ChatGPT Alternatives in 2026 for AI Writing and Productivity
10:07Small LLMs: Why Businesses Will Choose Lean Over Large
10:06Why AI Gets Dumber the Smarter It Tries to Be (OpenAI Can’t Explain It)
10:01Benchmarking LLM Accuracy in Real-World API Orchestration
09:57How Waymo Works Beyond LLMs
09:55From Zero to Hero: Building Enterprise-Grade AI Agents with Astron Agent Workflows
09:51How Enterprises Use No-Code AI Tools to Scale Faster with MercuryAI
09:50Manus AI + MCP Explained: The Architecture Behind Reliable Autonomy
08:57Why Reddit Is So Important for Training Large Language Models(LLMs)
08:56What I Learned After Building My First AI Chatbot with LLMs
08:47A set of 20 “system-level” questions I use to stress-test whether an AI can keep one coherent model…
08:36Truth As Belief Management
08:33From One-Hot to Transformers: The Evolution of Text Embeddings
08:33MY UNDERSTANDING OF “REFLECTION ON INFOFI-WARS”; by Ivan Raskovsky, through a Q&A session.
08:30Techniques to Achieve Determinism in LLM-Based Applications
08:23Scaling Interaction, Not Parameters: A Hands-On Guide to MiroThinker 1.5
08:23Olostep: Web Data API for AI and Research Automation
08:21Scaling Interaction, Not Parameters: A Hands-On Guide to MiroThinker 1.5
08:15DeepSeek’s MODEL1 Leak Reveals V4’s Architectural Blueprint
08:11Obstacles and Objections
08:08Negotiating Relationships with ChatGPT
08:03The Importance of Embedding Models in Generative AI Flows
07:57Show HN: LLM fine-tuning without infra or ML expertise
07:52Your AI Agent Isn’t Broken. Your Architecture Is.
07:50From 75% to 99.6%: The Math of LLM Ensembles
07:46Graph RAG, Memory Systems, and IPS: Building Context-Aware, Bias-Resilient AI Agents
07:43Genuine Contribution in an Age of Generative Abundance: On Novelty, Rigor, and What Remains Scarce
07:31From Hype to Production: A Battle-Tested Blueprint for Building Agentic LLMs
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124