LLM News and Articles

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Friday, 2026-04-17
06:57I Built 6 MCP Servers.
06:52Building an Enterprise RAG Pipeline End-to-End: Lessons Learned
06:51Are LLMs a Dead End on the Road to AGI? The Case for Scaling vs. World-Model Critics
06:09Asking LLMs About Theory
06:01Claude Managed Agents
05:52Reading as Configuration: Why AI Did Not Invent Reading Without an Author
05:27LeCun Didn’t Build a Better LLM. He Built Proof That We’ve Been Wrong About Intelligence.
05:06FLAN-T5 vs T5 Explained: Instruction Tuning, Zero-Shot Tasks, and When to Use Each
04:41Hermes Agent: The Self-Improving AI That Just Blew My Mind
03:46Intent Driven Development: The Shift Developers Can’t Ignore
03:31Your Obsession With 70B Models Is Lazy Engineering (And It’s Costing You Real Systems)
03:31The 0K Job Title That Didn’t Exist 18 Months Ago
03:24Anthropic in talks to give US Government access to its Mythos model
03:19Trendslop
02:48LLM Model Evaluation Guide (2026) အကောင်းဆုံး AI Model ကို ဘယ်လိုရွေးသင့်သလဲ ?
02:39Ever wondered how OTPs actually function behind the scenes?
02:37The Bridge of Experience: From Knowing to Being
02:22The Web Rebuild: Why AI Agents Are Forcing Us to Rethink Architecture Beyond LLM Speed
02:18Add middleware to AI agents on Amazon Bedrock AgentCore Runtime
02:17The Hive Mind of Large Language Models — An Overlooked Danger
02:00The Visual Architect and the Verbal Orator: Cognitive Diversity as the Next Frontier in AI Design
01:54Building one of the world’s smallest Gemma 4 models from Scratch (37M Parameters)
01:49Meaning as Structured Surprise: What Large Language Models Reveal About Human Thought
00:00OpenAI Launches GPT-Rosalind: Its First Life Sciences AI Model Built to Accelerate Drug Discovery and Genomics Research
Thursday, 2026-04-16
23:54I Stopped Using Embeddings for RAG — And My System Got More Accurate
23:31Inside the Machine’s Mood: Exploring the Emotional Circuits that drive AI Behavior
23:01Introducing Gemini Embeddings 2 Preview
22:56Top 5 Mistakes Developers Make When Building LLM Apps
22:53You can’t engineer Context that doesn’t exist yet
22:51Optimizing LLM Token Usage with MCP and Smart Tool Filtering in Spring AI
22:44The Reasoner’s Dilemma: How “Overthinking” Breaks AI Executive Functions
22:39Who wrote similar?
22:37The Unbearable Lightness of “Just Search”
22:31Your AI agent is blind to 60% of your documents. Here’s the fix.
21:09dbt’s Three Lies in Production
20:55Your Model Works in the Notebook. It Fails in Production. Here’s Why.
20:31THE BEAUTY OF ARTIFICIAL INTELLIGENCE — Transformer
20:16Claude Mythos: How Generative AI is shaping the cybersecurity landscape
20:16Claude Mythos: How Generative AI is shaping the cybersecurity landscape
19:46Stop comparing price per million tokens: the hidden LLM API costs
19:45Kahneman-Tversky Optimisation (KTO)
19:44AI Act: cosa devono fare davvero le aziende (deployer) — obblighi, rischi e limiti della human…
19:43I found the most easiest explanation to LLMs, this might surprise you
19:40Andrej Karpathy's LLM Wiki Is a Bad Idea
19:35Deterministic Alignment: The H2E Framework, V-JEPA 2, Claude 4.7,
19:34Should we trust LLMs?
19:24GPT‑Rosalind for life sciences research
19:06White House to give US agencies Anthropic Mythos access, Bloomberg News reports
19:03Are We Making AI Dumber the Longer We Talk to It?
18:43Token Ekonomisi
18:20Show HN: Open-source Perplexity clone one file back end, streaming answers
18:06Why RAG is failing your AI agents (and what trust scoring fixes)
18:06RAG Explained Without the Jargon
18:02Why Model Engineering Needs Fingerprints for Neural Substructures
17:06Anthropic Just Dropped Claude Opus 4.7. Here’s Everything That Actually Changed.
15:32Sadly, LoRAs are tough on a single DGX Spark
15:31By Happy Bhati · Senior Software Engineer · April 16, 2026
15:19Is RAG Still Needed in the Era of Long Context LLMs?
15:17Software Development After the IDE
15:17Software Development After the IDE
15:11Your LLM Agent Has Knowledge, Tools, and Fine-Tuning. What’s Still Missing?
15:01LAI #123: Claude Code’s Codebase Was Accidentally Leaked
14:57What Actually Changed Since GPT-3.5
14:57Show HN: A tool to calculate LLM model API costs when coding
14:49I Tested All 30 Voices in Google’s New Gemini 3.1
14:48The Real Bottleneck of Local LLMs: It’s Not What You Think
14:44Qwen3.5 Worse Than Qwen3 VL?
14:42Comprehensive Report on Online-Agentic-RAG: An Agentic AI System for Real-Time Information…
14:01What Building a Context Compiler Taught Me About AI Agents
13:58Generative AI in Content Automation at Scale
13:41“Data Hypnosis”: the silent trap of Product Management
13:40Fine-tuning vs RAG: Which One Should You Actually Use?
13:22Buddy – Anthropic killed /buddy. We made it permanent, cross-platform, and alive
13:17Cloudflare's AI Platform: an inference layer designed for agents
12:28Beyond RAG: V2
12:26Mastering the Future of Search: Comprehensive LLM Optimization Techniques with ThatWare
12:14After attacks on Altman's home, experts see parallels to Industrial Revolution
11:47Stop Fighting Prompts: How We Actually Made LLMs Output Valid JSON in Production
11:42I Reverse-Engineered My Gym’s Body Scanner Because I Didn’t Want to Carry Paper (and Maintain a…
11:29The Day AI Wrote a Draft, Edited It, and Overruled the Human
11:18Seasonal AI Visibility: Keeping Your Content Fresh for LLMs
11:18Data Mining the Dictionary: How AI Models are Restructuring Language Learning
11:13Your team is paying for five AI subscriptions. You only need one.
10:57What a Vector Database Really Is
10:50Regime Over Content: A Field Guide to LLM States
10:46Karpathy Stopped Writing Code. He Started Writing Ideas. And It Changes Everything.
10:46Linux 7.0: One Bash Script. One Weekend. 23 Years of Kernel Bugs.
10:44The Future of Search: Why Your Business Needs a Powerful LLM SEO Agency
10:43Why Fintech Companies Are Moving Toward AI-Driven Contact Center Intelligence
10:02From API Testing to LLM Testing: My First Steps Testing AI Conversations in Fintech
09:49I Tested Meta’s Muse Spark for a Week. Here’s What Nobody’s Saying.
09:46Bonsai 1.7B in the browser: a 290MB 1-bit LLM on WebGPU
09:06Your ML Model Will Break in Production
08:58Top Minecraft Mods That Are Breaking the Internet in 2026 (Must Try)
08:53Generalized CRT-through-Time for AI
08:30UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size
08:16Why Bigger Models Still Don’t Think (and What Comes Next)
08:14Por qué los modelos de lenguaje más sofisticados aún no piensan (y qué viene después)
07:31Nobody Rehearses Agent Failure
07:20Danone Paid .2 Billion for Huel’s Digital Capabilities.
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