LLM News and Articles

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Thursday, 2026-05-07
02:07Engineering Local-First AI: A Blueprint for Native iOS LLM Runtimes
01:59Stop gluing five libraries together to process Markdown
01:42How We Used LLM Eval Suite to Build a Better AI Feature in AI Doctor Notes
01:13Discord group guessed the URL to Anthropic's Mythos model before CISA used it
00:58It’s Not the Tool. It’s the Orchestrator.
00:27OpenAI-Oracle data center construction proceeds despite Michigan town vote
00:11Elon Musk's Last-Ditch Effort to Control OpenAI
Wednesday, 2026-05-06
23:50Classification of LLM Errors in Data Extraction for Systematic Reviews and Factors Affecting the…
23:49AI, Copyright & Legal Practice (Part 2): Fair Use and AI Copyright Ownership
23:39Counting as a minimal probe of language model reliability
23:38On-Policy [LLM] Distillation (2025)
23:35Building a 6-Agent Marketing Platform on Cloudflare Workers + the Anthropic Claude SDK
23:16Anthropic leases Colossus 1 datacentre from Space X
23:13Como a Agência Geostack faz a IA Recomendar a Sua Marca
22:59Anthropic raises Claude Code usage limits, credits new deal with SpaceX
22:44PawModel – Per-pet LoRA training for AI portraits that look acurate
22:28Can you safely use AI for development
22:27Why LLM Distillation Feels Like Magic, And Why It Is the Most Powerful Tool in AI
22:20Why On-Device LLMs Are the Future
22:08From 5.75 Billion to 50 Billion Tokens
21:56Most published medical-LLM benchmarks aren’t fit for purpose. Here’s how I think about that.
21:43Semikhatov: Filtering Social Noise: Where Human Common Sense Breaks Down. Part II
20:44Teleport Contest: Porting NetHack to JavaScript and Dealing with LLM Religion
20:31Vector Databases — The Memory AI Never Had
20:23Anthropic Leasing Compute from SpaceX
20:10How AI, the Human Brain, and the Cosmos Converge on a Single Algorithm
19:28Anthropic announces that it's doubling 5 hour rate limits
19:27Show HN: Granite Switch - compose multiple LoRA adapters to one deployable model
19:26Claude Skills Aren’t New. Here’s What’s Actually Happening Inside an LLM.
19:16LLMs, prompting y fucniones cognitivas.
19:11What the OpenAI Agent Phone might feel like
19:07The Secret Agent: A movie to remind us that life is about more than LLMs, issues, APIs, analytics…
19:06vLLM V0 to V1: Correctness Before Corrections in RL
19:05The Token-Level Mechanics of Tool-Use vs. Prompt-Stuffing
19:05Microsoft Azure AI Foundry
19:05Visibility Into Your AI Surface: A Primer
19:04Stop Overthinking AI: How to Add LLM + RAG to Your .NET App Today
19:01Track the Latest AI News Without Opening 10 Tabs
18:59What If Your LLM Could Tell You When Not to Trust Itself?
18:56Stages of Building an LLM
18:53Reranking with a sliding window: turning noisy search results into the five passages that matter
18:47Embeddings in LLMs — How Machines Learn the Meaning of Words | Sagar Patil
18:32OpenAI didn't respect Canadian privacy law when it trained ChatGPT:investigation
18:24Practical Design Decisions I’ve Learned Building AI Agents
17:45Boosting multimodal inference performance by >10% with a single Python dict
17:2030 malicious Chrome extensions masqueraded as AI assistants
17:11Show HN: Zero LLM deep codebase analysis built on math engine
16:58Anthropic: Partnership with SpaceX will increase our compute
16:50Anthropic has a Red Team page
16:45Anthropic will now use all the compute capacity at the xAI Colossus1 data center
16:28SpaceXAI will provide Anthropic with access to Colossus 1
16:15New Compute Partnership with Anthropic
15:56Reimagining fraud detection in the post-LLM world.
15:56Creating an animated manga with GPT Image 2.0 and Claude Code
15:41How to Build a Claude Code–Powered Agentic OS: The Complete Architecture Guide
15:36The Attention Mechanism Explained: Why AI Finally Learned to Focus
15:11Why Your Constrained Prompt Costs 73% More Decomposing Prefill vs Decode in a Real Ablation
15:04Karpathy’s CLAUDE.md
15:01Stop Re-Prompting Claude: Use Skills Instead
15:01Prompt Engineering Demystified: A Practical Guide to Getting More from LLMs
15:01Trends in Agentic AI and LLM Systems at EACL 2026
14:58Setting Up the Semantic Cache Test Environment — Part 3
14:55Should you be polite to AI?
14:29Does ChatGPT know your business exists? Free corpus diagnostic
14:26Why Naïve RAG Fails in Production — And Not Where You Think
13:31Why Scale Makes LLMs Powerful
13:25OpenAI president forced to read his personal diary entries to jury
13:22What Is Anthropic?
13:18'Nature' Retracts Paper on the Benefits of ChatGPT in Education
12:59Archestra LLM Gateway Now Supports All Types of LLM Auth
12:19GPT-5.5 Cyber Performance (as good as Mythos?)
11:35AI Didn’t Change Customer Experience. It Exposed It.
11:32The Age of Agentic AI
11:21PFlash: 10× Faster Prefill Than llama.cpp at 128K Context
11:162026: The Era of Technological Democratization — A New Playbook for the One-Man Company: How Connor…
11:05Introducing AIVO Optimize: The Self-Serve Decision-Stage Diagnostic for AI Visibility
11:04GPT-5.5 Instant Lands as ChatGPT’s Default — and the Real Story Is Memory, Not Hallucinations
10:53GPT-5.5 Instant Just Became Your Default AI. Here’s What the Benchmarks Don’t Tell You.
10:51How to Hire an LLM Specialist: Key Skills and Interview Questions to Ask
10:50MTPLX makes local coding agents on a Mac feel fast
10:31Understanding the Building Blocks of Generative AI
09:14Mastering GitHub Copilot, Claude, GPT-4, and Gemini: A Complete AI Engineering Series
08:23Google AI Releases Multi-Token Prediction (MTP) Drafters for Gemma 4: Delivering Up to 3x Faster Inference Without Quality Loss
08:10Running a Local LLM Coding Server on MacBook Pro M5 Pro 48 GB
07:56Gemma 4 + LiteRTLM 0.11.0: Finally, On-Device AI Feels Fast (and Stable) on Qualcomm Devices
07:37The Free Models Running the World
07:30Pulse Engine: April–May Update
07:24OpenAI Trained CLIP on 400 Million Images and Never Once Labelled a Single One.
07:21The AI After LLMs May Not Be Built on Language
07:11Seven principles of real memory for AI agents
06:47The End of “Open” AI: Why the Musk vs. Altman Trial is a Funeral for Open Source.
06:39I’ve been sitting on this for way too long.
06:35Certified Workflow Conversion: What If the Model Is Not the Bottleneck?
06:23Blockchain Convergence with AI : LLMs Are Probabilistic.
06:2338% Worse on 64k Than on 8k. Same Model. Same Task.
06:14I Didn’t Understand RAG Either — Until I Built One
06:01AI Agent Memory
05:50The guide to RL environments: building and scaling them in the LLM era
05:31Local LLM’e Gerçekten Gerek Var mı? PII Masking ile Cloud LLM’i Daha Güvenli Hale Getirmek
05:12Why LLM APIs Shouldn't Ship UTF-8", "Stop Wasting Bandwidth on LLM Text APIs
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