LLM News and Articles

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Wednesday, 2026-04-15
09:13DotLLM – Building an LLM Inference Engine in C#
08:02I Spent a Week Setting Up Claude Cowork the Right Way. Here’s Everything You Actually Need to Know.
07:47The Cautionary Tale of Vibe Coding
07:45Beyond the Vector: Reclaiming the Full Definition of RAG
07:36The Web Gave AI Agents robots.txt. It Gave Them Nothing Else.
07:34How to Deploy AI Agents in Production: Lessons Learned the Hard Way
07:26Dear Anthropic: We’re Paying for Agentic AI, Not a “Continue” Button
07:25The Death of the “Brochure” Website: Why Your Site Must Speak Fluent AI in 2026
07:19What is LangChain? A Complete Beginner’s Guide (Part 2)
07:19What is LangChain? A Complete Beginner’s Guide (Part 2)
07:10You Are What You Eat: Why Data Curation Is the Most Underrated Step in Building an LLM
07:00Scaling AI: Guide to Configuring LiteLLM on Kubernetes
06:57Your AI Agent Is Taking Actions. But Is It Doing the Right Things?
06:51Gemma 4 isn’t getting the right kind of attention
06:48From Raw Text to Machine Understanding: A Complete NLP Pipeline Explained
06:47CEO used ChatGPT to plan takeover, avoid 0M payout
06:46Integrate Xiaomi MiMo V2 Pro Model to Unlock Hermes Agent’s High-Performance Experience
06:01Right-Sizing AI Agents
05:19Google Gemma 4 Runs Natively on iPhone with Full Offline AI Inference
05:13The Most Valuable Engineer In 2027 Might Be The One Who Can Prove The Agent Is Lying
04:33AI Model Evals in 2025: Why MMLU Is Dead and What Replaces It
04:16The Host and the Mirror
03:59Krafton CEO used ChatGPT in failed bid to avoid paying US0M bonus
03:49Why do we use Flash Attention?
03:48GPT-5.4 Pro solves Erdős Problem #1196
03:43Context Engineering: From Prompt Engineering to Reliable LLM Systems
03:43I Tried Running RAGFlow on an Apple M5 Mac. Here’s What Actually Happened.
03:43What If Two AI Models Could Debate Until the Answer Is Good?
03:39Understanding Large Language Models: A Ground-Up View
03:34Stateless vs Stateful Agents: The Decision That Breaks Most AI Systems
03:31How We Built a Long-Term Memory Architecture for Elderly Healthcare Agents
03:22Why LLM-wiki Beats RAG for Domain Expertise — and How We Built It
02:53TOP AI Network Biweekly Report: April 1, 2026 -April 14, 2026
02:40“RAG Is Dead”: Influencer Fearmongering or Fact? The Enterprise Data Says Otherwise.
02:31Show HN: Memwright – Self-hosted memory for multi-agent teams, no LLM in path
02:23Hermes Agent: The AI That Actually Remembers You (Not Another OpenClaw)
02:01Nobody warns you about prompt drift: 9 gradual regressions
01:36OpenAI's 2B valuation faces investor scrutiny amid strategy shift, FT reports
01:05Anthropic Revises Claude Enterprise Pricing Structure
00:21The Biggest Advance in AI Since the LLM
Tuesday, 2026-04-14
23:48The Pillar Page Is Dead. Here’s What ChatGPT Actually Cites Instead.
23:43Deep Dive into Efficient LLM Inference with Nano-vLLM
23:42Rank 1 LLM Attack: Now Uses Your AI Email Assistant (My Story)
23:30LLMs as Thought Amplifiers through Precision Tuning — A Different Interaction Layer from RLHF
23:25Pare de Colocar LLM em Tudo
23:15When AI Trains Itself: A Deep Dive into HyperAgents
22:56Why AI starts with simple math, not magic
22:01LLM as an (Opinionated) Judge
22:01Gömme Modelleri (Embeddings)
21:43I Tested 6 Vector Databases So You Don’t Have To — What Actually Matters for RAG
21:42The CLI Renaissance: Why the Terminal is the Ultimate AI Cockpit
21:15Anthropic Redesigns Claude Code Desktop
19:48Every LLM is a Liar: How Game Theory Can Make AI Diagnosis Trustworthy
19:42Building Sovereign-Doc AI: Rethinking Privacy in the Age of Cloud AI
19:41Why Reliable AI Should Be Structured Like a System, Not a Superhero
19:26Introducing TriAttention: A New KV Cache Compression Technique
19:23What LLMs Are Really Doing: The Art of Predicting the Next Word
19:10Prompt Engineering Explained: How to Control AI Outputs
19:06UIR-X: A Semantic Frontend Intermediate Language for LLM Coding
19:06Extract Data From 100 PDFs Into a CSV in Minutes With Petey
19:01The Rise of Vectorless RAG: Hype, Reality, and What Comes Next
19:01Stop Making AI Context Windows Bigger. Make Them Smarter.
18:36AI Sucks at Coding..And I mean it (Part 1 of 3)
18:31Speculative Decoding • Accelerating LLMs, Part 2
17:57Anthropic Hires Lobbying Firm Ballard Partners
17:42OpenAI Codex Compaction Failing
17:17OpenAI's internal memo about beating the competition
17:00LLM inference engine written ground-up natively in C#/.NET
16:55The Taohuayuan Paradigm Part 3: The Earthly Lodgers and the Cosmic Destiny
16:40Anthropic Opposes the Extreme AI Liability Bill That OpenAI Backed
16:37Anthropic Plots Lovable Challenger
16:32OpenAI has bought AI personal finance startup Hiro
16:17Emotional Geometry of Large Language Models
16:16Show HN: Kelet – Root Cause Analysis agent for your LLM apps
16:06Is Anthropic 'nerfing' Claude? Users increasingly report performance degradation
15:58OpenAI rips Anthropic, distances itself from Microsoft
15:51From Noise to Masterpieces: How AI Learned to Create Images Like Magic
15:33Tracking in Claude, ChatGPT and Gemini Chatbots
15:29x402 Protocol: How AI Agents Pay Each Other in Real Time
15:25Town Dump and the LLM
15:21The AI Divide Is Already Here — And It’s Wider Than Anyone Expected PwC’s 2026 study puts a number…
15:11Why Perplexity × Plaid Signals a Shift from Financial Dashboards to Financial Conversations
15:08Why Your RAG Chatbot Feels “Off” (And 4 Lessons Learned Taking It to Production)
15:08Deploying a LoRA-Fine-Tuned Model on a Quantized Base Model
15:06From Room-Sized Computers to ChatGPT: A Java Developer’s Crash Course on AI History
15:03Stop Feeding Your AI the Whole Codebase. Feed It What Actually Ran.
15:01The model is the easy part: Building the LLM Platform at Whatnot
15:01Four Reasons Why FPGAs Hit the Sweet Spot for LLM Inference
14:59Agentic AI pentesting with Strix: results from 18 LLM models
14:58GPT-5.4 Pro solved Erdos problem #1196
14:54CoreWeave, Anthropic Form AI Cloud Agreement
14:53Late-Bound Sagas: Why Your Agent Is Not an LLM in a Loop
14:45To teach in the era of ChatGPT is to know pain
14:36KillBench: Every frontier LLM is biased about who deserves to live
14:31Anthropic faces user backlash over reported performance issues
14:31Goldman Sachs chief 'hyper-aware' of risks from Anthropic's Mythos AI
14:27O Peso Bonito de uma Carta
14:24Google’s TurboQuant: The AI Breakthrough That Crashed Memory Stocks by Billion Explained Simply
14:18Your AI Agent Does Not Need a Bigger Context Window
14:07US Treasury Seeking Access to Anthropic's Mythos to Find Flaws
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