LLM News and Articles

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Friday, 2026-01-30
23:40Paper Insights — GShard
23:36Verification-Limited Intelligence Acceleration: How to Measure Real Progress When Verification Is…
23:34Attempt to simplify the Transformer
23:31How to Enforce LLM Guardrails in Production (Beyond Prompting)
23:27The Death of Arithmetic: Why Your Math Teacher Was Wrong About God
23:24This AI Revolution Will Make You Rethink Writing Forever
23:16Sanjoy Nath’s Geometrifying Trigonometry For School problems What if every trigonometry equation…
22:59Graph RAG: When Retrieval Stops Being a Search Problem and Becomes a Reasoning Problem
22:53AI2 Releases SERA, Soft Verified Coding Agents Built with Supervised Training Only for Practical Repository Level Automation Workflows
22:27Prompting LLMs Like a State Machine (Instead of a Chatbot)
22:01U.S. Cybersecurity Chief Uploaded Classified Files to ChatGPT
21:44Turning Plans into Lessons: How LLM-Driven Engineering Can Learn as It Ships
21:41Prompts Are Systems, Not Strings
21:29LLM Agent’larda Kontrol Edilebilirlik Nasıl Sağlanır?
20:43Semantic Caching: The Silent System That Saves AI Companies Millions
20:17SanDisk Stock: From 5 to 0 in 22 Days
20:08Top Overall Coding Models
20:01Major Lexicon Project Launched for Suquelinese Language
19:53Pentagon clashes with Anthropic over military AI use, sources say
19:51When AI gets Personal — did you care enough about your safety and privacy?
19:39A IA realmente entende a Contabilidade Brasileira?
19:29Why Reinforcement Learning Matters for Large Language Models
19:19How to use your Intel NPU to run local LLM’s
19:15GraphRAG vs HippoRAG vs PathRAG vs OG-RAG: Choosing the Right Architecture for Your Knowledge Graph
19:02Beyond Chatbots: Building a Multi-Agent AI Debate System with Snowflake Cortex
18:44Anthropic Turns AI Ethics Into a Competitive Differentiator
18:40Building AI Agents with Custom Tooling Using the GitHub Copilot SDK
18:11New Feature: Per-user Resource Management
18:05Implementing and Validating mHC: A Deep Dive into Manifold-Constrained Hyper-Connections
18:017 Types of Embeddings That Power Modern Semantic Search: A Complete Guide
18:01Outcome Is the New Interface: Why Software Is Quietly Replacing Users
17:04The .7B Benchmarking Trap: Can We Trust the Ratings?
16:54Beyond Training Data: How Adversarial Evolution is Rewriting the Rules of Machine Intelligence
16:45The Fragmentation Challenge in AI Development: Why Your Prompts Are Like Out-of-Control Lego Blocks?
16:24# From Skeptic to Believer: A Senior Developer’s Journey Into AI-Assisted Coding
16:21The agent of Deduction: solving crimes with Langgraph
16:01Agentic RAG: 6 Revolutionary Types Where AI Decides What to Retrieve
15:55Stop Treating RAG Like a Black Box — Here’s What Really Matters
15:51Testing Isn’t Enough: How to Really Evaluate Large Language Models
15:42Hey, ChatGPT: Where Should I Go to College?
15:30What if LLM pipelines were just algebra? ((R and A) → W)² ÷ C → E
15:29Tool of choice — How to code with LLM #1
15:16Why Parallel Tool Calling Matters for LLM Agents
15:12(A Non-Developer’s) Vibe Coding OS
15:11How much does it cost to run Clawdbot / Moltbot ? A practical cost guide
15:01The “wow demo” trap is killing LLM projects. Here’s the exit.
15:00Rhode Island’s AI Education Plan: Beyond the Horseless Carriage
14:45Reasoning Language Models (RLMs): The Shift from Text Generation to Thinking
14:44First Time Nge-Prompt Pakai Bahasa Alien
14:38Ditch the Copilot, delegate to AI
14:31Beyond Regex: A Simple Guide to Modern Text Classification in Production
13:20Sıfırdan Transformer: LLM’lerin İçinde Gerçekte Ne Oluyor?
13:17LLM Sandbox
12:54Explyt 5.3: New Agent Modes and LLM Choice for Personal Use
12:53LangChain4j 101: Trust but Verify: Implementing Guardrails
12:42Adaptive RAG — Make Retrieval Earn Its Place (Cut costs, fix hallucinations, and speed answers)
12:42Adaptive RAG — Make Retrieval Earn Its Place (Cut costs, fix hallucinations, and speed answers)
12:27MCP Apps Is Now a Standard: Here’s What It Means and How I Implemented It
12:25Running Gemma 3 Locally with vLLM, FastAPI, and Streamlit
12:23AI Synthetic Data Generation might be the next big industry!
12:20Bringing the Library Home
12:10How Businesses Are Manipulating ChatGPT Results
12:014 Techniques to Optimize AI Coding Efficiency
11:58Beyond Transformers: Inside NVIDIA’s Nemotron 3 Hybrid Architecture
11:58Hybrid by Design: Inside the Mamba-MoE Engine of Nemotron 3
11:57Harmonic Constraint Framework for LLM Hallucination Reduction
11:52AI’s Decision or a Coin Flip?
11:49Context Engineering in Enterprise AI: Why Systems Fail in Production
11:45Building a Production-Ready RAG System with FAISS, PostgreSQL, and Redis
11:36Why Do Most AI Initiatives Fail Before They Begin?
11:22Nvidia: Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]
11:06To chunk or not to chunk, telle est la question !
11:04Synthetic Data for LLMs: The Missing Link Between “Cool Demo” and “Production-Ready”
11:01The Next Token — Vol04 . January 26
10:49Create AI Agents in Minutes Using AgentCore with Strands (AWS Anthropic / Bedrock)
10:33“The Grand Experiment, The ‘3rd’ & Selene”
10:21How to run an LLM in colab
10:16The Real Reasons AI Agency Projects Underperform (It’s Not the Model)
09:53Charlie Munger mental model ChatGPT Prompt
09:43Kimi K2.5 and the Shift From Smart Models to Coordinated Agents
08:54New OpenAI tool renews fears that "AI slop" will overwhelm scientific research
08:41Tutorial: Using DGrid RPC API with AnythingLLM
08:24Stop Fine-Tuning on Your Data. You Are Ruining the Model.
08:19How to Build a Local AI Voice Agent with Pocket TTS
07:56We All Used AI in Secret: We Didn’t Get Faster. We Just Got Quieter.
07:16How GitHub Copilot Is Transforming Report Development: From Code to Dashboard in Minutes
07:16Principles of Language Structure Design.
07:06Anthropic: AI Coding shows no productivity gains; impairs skill development
07:00Rerankers in RAG: How to Build Accurate, Production-Grade Retrieval-Augmented Generation Systems
07:00Chunking Strategies for RAG: A Practical Guide to High-Accuracy Retrieval in Production LLM Systems
06:54Prophecy: A ghost of all text, speaking with the voices of millions but itself lifeless.
06:44Introduction to Evaluation in Langfuse(LLM-as-a-Judge)
06:42Why Generic Local LLM Deployments Fail (And When They Actually Work)
06:39Moltbot (aka OpenClaw): the “AI that actually does things” — what it is, how to set it up, what…
06:34How to Choose The Best LLM Development Company For Your Business?
06:32Agentic AI in Action — Part 8— Designing Guardrails for Agentic AI Without Stifling Innovation
06:13The Napkin Series #1: Understanding Transformers/LLMs without code and calculus.
06:09Artifical Intelligence and R&D
05:43Nvidia, Microsoft, Amazon in talks to invest up to B in OpenAI
04:319 Ways to Cut Agent Latency Without Losing Quality
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124