LLM News and Articles

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Tuesday, 2026-05-26
13:05LLM Layer for a Rails Application
12:31The Long Prehistory of Today’s AI
12:01Why I Put a 1-Bit LLM in Charge of My Agent
11:44Platform Agnostic Data Management Framework: Building Autonomous AI-Driven Data Governance
11:42Anthropic to release Mythos-class models to the public
11:40Anthropic’s Shoggoth Didn’t Evolve. The Eval Did.
11:40A Complete Guide to LLMs, AI Workflows and Agents
11:31AI 101: Everything you keep hearing about, finally explained
11:31The MCP Mental Model : Why It’s Not REST for LLMs
11:31The Hardest Tasks in Physical AI May Look Simple
11:05The Transformer Is Powerful — But Still Not a Complete Cognitive Architecture (A11 Perspective)
10:58Claude Code’s Minimalist Toolset
10:53Unabyss + Claude Code: A Better Way to Give AI Agents Personal Context
10:51How to use Large Language Models for free
10:47OpenCode Technical Setup Guide: RTX 4060 8GB Optimization
10:35Sparse Autoencoders Reveal Cortical Brain-LLM Semantic Mapping
09:58RLMs: The MIT Trick That Makes a Small AI Beat GPT-5
09:29A New Way to Make LLMs Smarter: ShadowStream as a Second Internal Pathway
09:09Chinese Room re-visited: How LLM's have real but different understanding of word
08:46Checking the math behind OpenAI and Anthropic's latest headlines
08:09Show HN: Layered retrieval beats grep alone for LLM-generated engineering docs
07:48Green Dashboards: Production Monitoring and Logging for GPU Workloads on Kubernetes
07:44LLMs.txt: The Hidden File That’s Changing How AI Reads the Internet in 2026
07:43Prompt Politeness Affects LLM Accuracy
07:41ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents
07:40The Best Way to Use AI Isn’t What People Think
07:32The Quiet Problem of Control in Multi-Model Systems
07:32Your RAG System Is Probably Hallucinating — You Just Don’t Know It Yet
07:28Microsoft Hits Pause on Vibe Coding: Burning Tokens Has Become More Expensive Than Employees
07:20Microsoft to Deprecate Claude: Too Expensive, or Did They Learn Enough?
07:08LLM COST OPTIMIZATION YOU NEED BEFORE ITS TOO LATE
06:26Cracking the Junior AI Engineer Interview in 2026
05:48Prompt injection is not a vulnerability — It’s a design property
05:19Understanding AI Models, Data Exposure, and Modern Security Risks
05:00You don't need all the LLM benchmarks
04:49GPT Image 2 left me amazed but exhausted – so I built a little tool
04:30RAG vs. Fine-Tuning: How to Choose the Right Strategy for Your AI Assistant
04:27Ollama v0.30.0-rc23: "directly support llama.cpp" & "compatibility with GGUF"
04:12AI Coding Tools Didn’t Replace Developers. They Exposed Them.
03:39Why Token Efficiency Is the Most Dangerous Variable in Reasoning Model Selection
03:34Agentic AI is Easy to Build, Expensive to Run: An 8-Layer Agentic AI Optimization Playbook
03:21The Evaluator Is the Product: What I Learned Evolving a Retry Policy with OpenEvolve
02:56Everyone Talks About AI Agents.
02:54Running a Full Trading Desk on Free LLM Models: What Actually Worked
02:32Solo.io as Gateway for Azure Open AI — 2
02:31One Article, One Maggi, The Entire RAG Pipeline — Everything In One Go
02:26I Built a FlashAttention Kernel That Beat MLX’s SDPA. Then I Discovered It Was Useless.
02:18One model gives you an answer. Five models give you a confidence interval
02:06Tencent Just Released Hy-MT2–1.8B: The Small Translation Model That’s Quietly Insane
02:01Small Language Models: the smartest AI bet you might be missing
02:00The Misunderstanding You Can’t Detect
01:53Building Long-Term Memory in AI Agents
01:50Parallel Holon Architecture — Part 1: A Plain-Language Map of the Whole Series
01:46Moving from the era of Maximum Intelligence to the era of Optimal Intelligence
01:46Fine-Tuning of LLM
00:05✨ Local AI Deployment Is Not Downloading the Internet
Monday, 2026-05-25
23:40Token Economics in LLM Applications: A Caching Strategy Overview
23:39The Vatican-Anthropic relationship that's reshaping the AI ethics debate
23:15Compile-Stage Knowledge Layers: Why Agentic AI Is Moving Past Inference-Time RAG
23:13The Knowledge Work Plugins Project, Small Language Models — New Book| Issue 89
23:10“What is Generative AI good for?”
22:55The Death of the 10-Minute Tutorial
22:45The Prompt Changed. The Agent Broke. Nobody Noticed for 3 Days.
22:16Beyond the OWASP Top 10: Securing GenAI Apps with Google Cloud Model Armor
22:14No Opacity: Why This Native Pascal Framework is the Key to Uncovering LLM Secrets
22:13Beyond the One-Way Time Machine: A Manifesto on Engineers and Organizations in the AI Age
22:12AI Agent Foundation, ReAct Loop — Makes It Different From a Chatbot
22:02The Soul File A search for identity in modern AI
20:12The 5 Prompting Techniques Separating Senior AI Engineers from Everyone Else
19:40Google Says You Don’t Need LLMs.txt. Google Uses It Anyway.
19:37Norway's 2 petabytes of Huawei flash storage and LLM training
19:12Anthropic Cofounder Chris Olah's Remarks on Pope Leo XIV's "Magnifica Humanitas"
19:11Algorithmic Projection vs. Objectivity
19:10Cursor Won’t Make You a Better Developer — Your Workflow Will
19:01The Difference Between Engineering Models and Engineering AI Systems
19:01From LLM Wiki to Agentic Knowledge Maintenance
19:00Harness Engineering: The Layer That Matters More Than the Model
18:51AI coding is shifting from autocomplete > autonomous engineering workflows.
18:41samkhya v1.0: Plug Claude, GPT-4o-mini, or Local Ollama Into Your SQL Query Optimizer
18:285 Prompting Techniques That Actually Get High-Accuracy Responses from LLMs
18:22How Does an LLM Actually “Think”? What Really Happens Inside the Model? (Part-1)
18:17How I Added an AlphaZero-Style AI Engine and LLM Coach to My Chess App, All Running in the Browser
18:10Semantic Interpolation: Canonical SR Entry
17:51Polonsky: The Central Ideas of Kabbalah
17:41Inside Google’s Architecture Overhaul
17:37Why I 1000 AI live Steamers is The Solution to AI
16:54You Don’t Need Pinecone. Here’s How to Build a Wikipedia-Scale RAG System on Commodity Hardware.
16:43EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026
15:47The Four-Layer Agent Failure Taxonomy
15:38Stop Reinventing AI Guardrails: Build Reusable LLM Text Safety with the Builder Pattern
15:38Production AI Agent’larda Loglamanız Gereken 13 Kritik Observability Sinyali
15:35Anthropic's Olah says AI must be guided from outside Big Tech
15:31Invisible Exploits: The Rise of AI Supply Chain Attacks
15:31How to Reduce AI Token Costs Without Killing Quality
15:29Designing and building an Enterprise RAG system with Evals
15:26How I Architected a Hierarchical AI Agent Pipeline That Reads the Room Before Writing Your Resume…
15:13Hunting Android Lockscreen Bypasses on Pixel: A Campaign Walkthrough — Contd.
15:11Machine Learning. IDP. Agentic AI.
15:05The Somatic Virus:
15:02Why Current AI Breaks in the Enterprise
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