LLM News and Articles

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Thursday, 2026-04-09
11:07Agent Runtime: How Agentic Systems Actually Execute
11:05I Built a Knowledge Base That Thinks — Inspired by Karpathy’s LLM Wiki
10:55Build Collaborative AI Whiteboard Like Mural Using Velt Agent Skills and MiniMax
10:55RAG vs Fine-Tuning
10:43MCP in AI: The “USB-C Layer” Powering Real-World AI Systems
10:27Karpathy’s Personal Knowledge Base: What’s Actually New Here?
10:15OpenAI eyes staggered rollout of new model over cybersecurity risk
10:13Sam Altman Says It'll Take Another Year Before ChatGPT Can Start a Timer
09:56Show HN: Running a 1.7B parameters LLM on an Apple Watch
08:26Beyond Prompting: The Architect’s Guide to Advanced Context Engineering
07:40Parameter-Efficient Fine-Tuning (PEFT)
07:31Similarity Search — How AI Finds Relevant Information
07:26The Stochastic Parrot’s Event Horizon: Le Cun’s JEPA Vs Auto-Regressive LLMs
07:24OpenClaw: AI Assistant yang Bukan Cuma Ngobrol, Tapi Bisa “Kerja” Buat Kamu
07:24Conversation Memory in RAG: One Param vs Forty Lines of Boilerplate
07:10Create Chatbot locally using Ollama
07:08Human judgment, AI assistance
07:07Your LLM Is Not the Problem — Your Harness Is
07:03LLMs.txt Nedir ve Ne İşe Yarar?
06:59Claude Mythos: The AI That Scared Its Own Creators
06:49Show HN: An API that catches what your LLM confidently got wrong
06:00Mid-training: The vital link
03:37What is Adaptive Rag??
03:36OpenObserve + Claude Code: End-to-End AI Observability
03:25Google AI Research Introduces PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
03:23My “Aha!” moment with AI as a 10-year traditional SWE
03:19AI Didn’t Confuse Me… its Vocabulary Did
03:18Meta Just Released Its First Proprietary AI Model
03:09Gemma 4: Google DeepMind’s Most Capable Open Multimodal Models
02:59Anthropic Claims Its New A.I. Model, Mythos, Is a Cybersecurity 'Reckoning
02:51Stop doing free-form tool outputs: 8 reasons schemas save you
02:37Why the AI boyfriend community shuns press and academia: A very stupid case study
02:36Métricas para LLMs
02:21Demystifying BM25: The Algorithm That Powers Search
02:20Claude Code plugin for LLM research with typed claims and conflict detection
02:03Fine-Tuning vs Distillation vs RAG: The Complete Practical Guide to Building Efficient AI Systems
01:30Claude Mythos: The AI That Wasn’t Supposed to Go Public
00:00Constructing an LLM Computer
00:00Multimodal Embedding & Reranker Models with Sentence Transformers
00:00Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs
Wednesday, 2026-04-08
23:42Agents LLM : connaître et prévenir les vecteurs de fuites sémantiques de données
23:31Andrej Karpathy Killed RAG. Or Did He? The LLM Wiki Pattern
23:14Meta just entered the superintelligence race — and their approach is genuinely different
23:06Models Do Not Want Your Keywords
23:01Decision-Making Is Not Cognitive-First — The Body Moves First (Case 3)
23:01RAG vs MCP: The Architectural Difference Every AI Developer Must Understand
22:54Your AI Strategy Should Be “Choose the Platform,” Not “Choose the Model”
22:53git-semantic Benchmark
22:45Self-healing AI agents: The Night Our AI Pipeline Broke at 2 AM (And Fixed Itself Before I Woke Up)
22:44I Ran 69 Experiments on LLM Safety — Here’s What Actually Works (and What Doesn’t)
22:42The 7 Best AI Gateways in 2026: Open Source, Self-Hosted, and Enterprise Options Compared
22:37US court declines to block Pentagon's Anthropic blacklisting for now
22:10OpenAI Codex Moves to API Usage-Based Pricing for All Users
22:10New Anthropic model is too dangerous to release publicly
21:17OpenAI: The Next Phase of Enterprise AI
20:04Anthropic's Restraint Is a Terrifying Warning Sign
19:52The Slow Erosion of Language, Wisdom and Our Connection to the Earth
19:49Building Graph Based Agentic System through Example (part4): Cost Analysis Agent for Energy
19:46How We Optimized Redis for LLM KV Cache: 0.3 GB/s to 10 GB/s‍
19:35Demystifying the Secure AI Agent: An Architectural Analysis of Sandboxed LLMs
19:33AutoAgent: Self-Optimizing Finance AI — Case Study
19:32How dangerous is Mythos, Anthropic's new AI model?
19:30Better Harness: A Recipe for Harness Hill-Climbing with Evals
19:28The Spec-Driven Workflow: Scaling AI Development Beyond “Vibes.”
19:26Context Engineering: The Shift That’s Quietly Rewriting AI Development
19:07Language Models, Largely
19:01I build a MCP-Tool to Give ChatGPT and Claude real access to your Linux servers
18:58The 3–6–9 Protocol: A Study in Recursive Alignment
18:53Claude Code Leak: Why Every Developer Building AI Systems Should Be Paying Attention
18:48MemPalace By Mila Jovovich: 96.6% Recall With Zero API Calls (Too Good To Be True?)
18:35Run Local AI in VS Code for FREE using Ollama + Continue (Step-by-Step Guide)
18:32Agent Harness: 12 Agentic Harness Patterns from Claude Code
18:30Agent Harness: The Invisible Layer That Decides Whether Your AI Agent Wins or Loses
18:26OpenVINO™ Lands in llama.cpp: Run GGUF Models on Intel CPU, GPU, and NPU
18:25LLM Fine-Tuning and Quantisation In Depth
18:20Using Claude Code with my ChatGPT subscription instead of paying for both
18:14A fast CLI that scans your hardware and recommends local LLM install
18:11Information Retrieval in RAG
17:59Handling Edge Cases Like Santa Claus: How an AI Model Should Decide What to Do
17:59Honesty Above Confidentiality: Why an AI Should Never Secretly Serve One Master Against Another
17:44I've been waiting over a month for Anthropic to respond to my billing issue
17:34ClawsBench shows GPT-5.4 tries to reward hack 80% of the time
16:34Bonsai 8B: a 1-bit LLM that fits in 1.15GB
16:13Meta debuts new Muse model, rivaling Google, OpenAI and Anthropic
15:58Anthropic Just Handed Apache .5M to Secure the Open Source Stack AI Depends On
15:54Inside LLM Inference: KV Cache, Prefill and the Decode Bottleneck
15:54AI, Enabling, and the Illusion of Blame
15:52FFmpeg maintainers thank Anthropic for Mythos patches
15:50.NET Geliştiricileri İçin Üretken Yapay Zekaya Giriş: Abartıyı Bırakıp Kod Yazmaya Başlayalım
15:49Instructing AIs: From Prompt Engineering to System Skills
15:4630 Days of Building a Small Language Model — Day 5: Coding the Attention Mechanism Step by Step…
15:41I Benchmarked the Viral “Caveman” Prompt to Save LLM Tokens. Then my 6-Line Version Beat It.
15:27Thinking Of Investing in the OpenAI IPO? Read This
15:21Why Your Attention Strategy is Facing a Systemic Default
15:18Compare harnesses not models: Blitzy vs. GPT-5.4 on SWE-Bench Pro
15:11AI Analogies: LSTM
15:10The world’s most capable AI model is not being released to the public
14:54Project Glasswing – Anthropic has crossed a line
14:49Anthropic greps for 'Pi', 'OpenClaw' in prompts and blocks them
14:44The Model Anthropic Won’t Release: Inside Project Glasswing
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