LLM News and Articles

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Thursday, 2026-03-12
14:25From Smart Text to Smart Teams: Decoding the AI Evolution (LLM vs. RAG vs. Agents)
14:06Your JSON Schema Is Too Smart for Your LLM
13:39LLM Agent Tool Calling Patterns
12:42Meta reveals four Broadcom-built ASICs for AI inference
12:41Why Your LLM App Needs Automatic Failover (and How to Set It Up)
12:23The Knowledge Architect: Rebuilding the Agency for the Age of AI Retrieval
12:18Overcome context limitations with Ralph
12:15What Poker Teaches Us About AI and Decision Making
12:06The Journey of a Query: A Narrative Guide to Retrieval-Augmented Generation (RAG)
12:04PageIndex: An Intro to Vectorless, Reasoning-First RAG
12:01When LLM Benchmarks Start Lying
12:00AI Doesn’t Hallucinate. It Inherits Our Knowledge Gaps.
11:59I built a 31-agent product development system with 12,000+ lines of actionable content
11:56I Had Monitoring for My AI Agent. It Missed the Biggest Failure.
11:49Generative AI (Part-VI): RAG or Direct LLM Prompting?
11:49Are LLM merge rates not getting better?
11:36Building a Multi-Agent Workflow with OpenAI and Python: A Deep Research Machine
11:32Top Open-Source LLMs (2026 updated)
11:31RAG Regressions: 11 Checks Before Blaming the Model
11:31Reward Shaping Trained the Wrong Behavior
11:31When Smarter Agents Ignore the Guardrails
11:2659,000 Packages. 1,400 Developers. Zero AI Policy.
11:2614 Open Source Projects for Your Dev Stack
11:01Tool (Function) Calling in LLMs
10:19Big Tech backs Anthropic in fight against Trump administration
10:03LLMock: Deterministic mock LLM server for testing
09:17Executing programs inside transformers with exponentially faster inference
08:47Import Context into Claude and forget about other AI tools!
08:47Streaming LLM Responses: Interactive LLM Applications
08:19Reliable Software in the LLM Era
08:11Use Claude Code with DGrid
08:10Junction 2025, Using AI to Develop Regulation — Track Winner BureaucracyBuster (48H)
08:04How Zepto Enables Seamless Shopping through AI
07:56What Plato’s Cave Can Teach Us About Large Language Models
07:48Ilya Sutskever Left OpenAI Saying He Saw Something Dangerous.
07:47Beyond Entropy: Why the Agentic AI Era Demands Observability-Driven Development (ODD)
07:29Anthropic seeks appeals court stay of Pentagon supply-chain risk designation
07:27RAG for Large Documents
07:26Does your LLM chatbot seem like it’s “click-baiting” you?
07:22Running Large Language Models Locally: A Beginner’s Guide
07:01Beyond the AI: Why Software Engineering is No Longer About Writing Code
06:56Self-RAG: Turning Models into Curious, Fact-Checking Agents
06:53Context Engine for LLMs to Actually Understands Your Codebase
06:3899% of People Use AI to Chat — Here’s How I Use It to Actually Get Work Done
06:18Your AI Model’s Safety Guardrails Can Be Removed With a Single Math Operation.
06:08Toward Smarter AI: Why Smaller Models on High-Performance CPUs Are Winning
06:04Google VP Warns AI Startups: Why LLM Wrappers and Aggregators May Not Survive in 2026
05:13Role of Large Language Models in Machine Translation for Businesses
05:12How Does ChatGPT Actually Work?
04:53The 2026 Roadmap for LLMs in Bioinformatics
04:45The AI Job Apocalypse Is a Myth. The AI Talent Apocalypse Is Real.
04:44AI Isn’t Taking Your Job. Your Lack of AI Skills Is.
04:31The 5 AI Agent Patterns That Separate Demos from Production
04:26RLHF Doesn’t Train Honest AI. It Trains Agreeable AI.
04:23The Anatomy of an LLM CI/CD Pipeline: Architecting Deterministic Delivery for Probabilistic Systems
04:19Is it worth buying physical mac mini for Personal agent or use cloud hosting? Full comparison
04:14RAG Is Not Enough: Why AI Systems Still Hallucinate (And What Comes Next)
03:53How NVIDIA AI-Q Reached \#1 on DeepResearch Bench I and II
03:33When AI Gets Production Access: Lessons from the Claude Code Data Deletion Incident
03:31The Tiny AI That Runs on Your Phone: How Qwen 3.5 Is Changing the Future of AI
03:30Python is not running the AI Models
03:14VLA-0 Under the Hood
03:02Beyond Human-in-the-Loop: A New Evaluation Theory for Agentic AI Deployment
02:40Eval-Driven Development — Part 5: Operationalizing Evals — CI/CD, Regression Detection, Monitoring…
02:40MergeNote: A Vibe-Coded Tool for Release Notes and PR Analysis — Built to Learn, Open to Feedback
02:16Preventing Infinite Tool-Call Loops in LLM Agents Through Task-Alignment Checkpoints
01:54What happens if OpenAI or Anthropic fail?
00:31The Meta Model: Why Satya Nadella Is Right to Be Excited About vLLM’s Semantic Router
00:28MIRRORS AND MINDS One Person's Case for Human-AI Symbiosis by Adam Schnieder — Calgary, Alberta —…
00:19Why Your LLM is “Lost in the Middle”: A Pro’s Guide to RAG vs. Long-Context Models
Wednesday, 2026-03-11
23:55Gemini Embedding 2: One Vector Space for All
23:31MCP in Production: 7 Failure Modes Nobody Talks About
23:27Show HN: Autoresearch_at_home – SETI_at_home but for LLM training
23:25Amazon's Win Against Perplexity Kicks AI Shopping Wars into High Gear
23:21OpenAI’s new GPT-5.4 model is a big step toward autonomous agents
23:15The Architecture of Agentic AI
23:10Fighting Vendor Lock-in with Local LLMs
23:03The Invisible Hand: Comfort, Confidence, and the New Era of Physical AI
22:56As a teacher and nontechnical guy, I want to say thank you to Karpathy
22:50Gemini CLI: The long run
22:45The building blocks of Agentic AI
22:44I Left Anthropic: A note and a letter to former colleagues
22:31IoT Meets LLMs: Giving Your Edge Devices a ‘Brain’ with Local AI Models
22:21How Is the US Using Anthropic's Claude AI in Iran?
22:06Perplexity Moving Away from MCP
22:05Claude Code vs OpenAI Codex vs Cursor: Which AI Coding Tool Should You Actually Use in 2026?
22:03Data Quality in the Age of LLMs
21:51Gemini Function Calling in Production: What Most Tutorials Skip
21:35Lately I keep seeing people talk about “world models” in AI.
21:22Anthropic has strong case against Pentagon blacklisting, legal experts say
21:19OpenAI: We built a computer environment for agents
20:49Google’s Inception Strategy for New AI-Based Search Features
20:40Google Released Workspace API. Here’s How to Set It Up Without Losing Mind
20:377 Shocking Truths About Tech Layoffs in 2026
20:28Local AI Agents on macOS: Building an Ollama Home Lab
20:15MemGPT: Where Prefix Caching Fails and Non-Prefix Caching Succeeds
20:13Fully State-Controlled LlamaIndex Workflows with Finite State Automata (FSA) theory
20:08The Future of Agents Is Outcome Coordination
19:52LLMs are what they “eat”
19:52Decoding the Black Box: How AI Is Learning to Explain Its Decisions
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