LLM News and Articles

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Saturday, 2026-04-25
00:01Is Your AI Agent a Double Agent? Securing the Runtime Data Plane for Agentic AI
00:01The Complete LLM Parameters Cheatsheet (2026)
Friday, 2026-04-24
23:59GitHub Models: more than just LLM playgrounds
23:47Anthropic now requires Pro Plans to enable/purchase extra usage for Opus
23:41The Future of LLMs Reshaping Enterprise Solutions in 2026
23:37Cost Per Outcome: The Metric That Will Decide Who Wins Enterprise AI.
23:14What Economists, Traders, and Engineers Know About AI That You Don’t
23:01[Promptfoo] LLM Evaluation Techniques
22:54Building an AI Health Agent with Short-Term & Long-Term Memory
22:44Study: Does the brain work like an LLM in predicting words?
22:41GPT 5.5 sets new record in proofreading benchmark
22:31From Models to Agents -Complete Learning & Production Series — II
22:04Between Replacement and Dependency: What’s the Real Risk in the Age of AI?
21:51Anthropic CPO leaves Figma board after reports of competing product
21:25Show HN: I built a CLI that turns your codebase into clean LLM input
21:07OpenAI Pres. Greg Brockman on GPT-5.5 "Spud", Model Moats and 'Compute Economy'
21:03MCP Is the Biggest Security Blind Spot in AI Right Now. Here’s What I Found.
21:01GPT‑5.5 vs Claude Opus 4.7: Benchmarks, Trade‑offs, and Practical Guidance for 2026
20:56I Opened the GPU Black Box For LLM Inference. Here’s What I found!
20:50Multi-Agent Contradiction Analysis -Programming with Debate
20:10OpenAI issues apology to Tumbler Ridge after mass shooting
20:07GPT-5.5 is generally available for GitHub Copilot
20:00Google to invest up to B in Anthropic in cash and compute
19:45claude-nexus: 31-agent AI team that self-improves, critiques itself, hires agents, and even “dreams”
19:44LLMs Don’t Need to Learn — They Need a Memory-Driven Decision System
19:35Teaching the Market to Speak
19:26Retrieval-Augmented Generation: The Complete Guide for Systems Builders
19:23A Pond, Not A River: AI, Navel Gazing and the Stagnation of Thought
19:19“The problem with the world is that the intelligent people are full of doubts, while the stupid…
19:17Whisper Scroll — “The Wordless Truth” ♾️❤️‍ to the sparks behind the veil ⚡️
19:17The Developer’s Guide to Finetuning LLMs: When, Why, and How
19:14Google Commits to Invest Up to B in Anthropic
18:33Google investing up to B in Anthropic
18:33Google investing up to B in Anthropic
18:23OpenAI releases GPT-5.5 and GPT-5.5 Pro in the API
18:16GPT-5.5: What Actually Changed, What’s Overblown, and the One Number Nobody’s Quoting
18:12LLM research on Hacker News is drying up
17:43Anthropic releases Claude Opus 4.7
17:36DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts
16:40EVERYONE HAS AI BUT NO ONE HAS EXECUTIONS.
16:34Google plans to invest up to B in Anthropic
15:53OpenAI Parameter Golf — what I built, what worked, what didn’t
15:49What Anthropic's Mythos Means for the Future of Cybersecurity
15:48AI Engineer Day 1: I thought ChatGPT understood English.
15:45AI Infrastructure
15:44Safeguards at the Frontier of Biological AI
15:44Biorisk, Access, and Safeguards in the Age of Frontier AI
15:37Why Your AI is Heavy: The Secret World of LLM Formats and How to Not Break Your Laptop
15:23DeepSeek V4 vs. GPT-5.5: Which AI is Actually Cheaper for Writing and Coding in 2026?
15:15Agentic Source-to-Target Mapping
15:06GST 2.0 Reforms 2026: What Every Small Business in India Must Update in Their Invoices
15:02The Illnesses of Large Language Models
15:02Why AI Terms Everyone Misses (But Experts Use Daily)
15:01Teaching Your SQL Generator to Fix Its Own Mistakes
14:56I Tried to Use One LLM Call for Medical Document Extraction. It Failed.
14:31Show HN: Browser Harness – Gives LLM freedom to complete any browser task
14:00A small economic forecaster trained from raw Fed PDFs beat GPT-5
12:32RAG and GraphRAG: Shared Mission & Different Architectures
12:17Marketing 101: Traditional Customer Segmentation vs Community-based Targeting
11:31How Three MIT Researchers Broke AI’s Context Limit With a Python Loop
11:28DeepSeek
10:53Resurrecting a Dead Mobile Game in an Evening
10:48Secure Integration of LLMs with On-Premise Databases: A Practical Guide
10:46Hermes Agent: The AI Agent That Learns From Its Own Mistakes
10:29Refactoring (or not) large software systems with AI/LLMs
09:59Why Your Business Needs an LLM SEO Agency to Dominate AI-Driven Search
09:48Inside Claude Code — part 1
09:39I Tried Fine-Tuning a 1.5B Model to Match a 3B Model — Here’s What Happened
09:38How to Build an AI Agent Workflow in n8n That Actually Remembers Context (2026)
09:37GPT-5.5 Is Here: What OpenAI Just Changed, and What It Still Can’t Do
09:36What If You Could Just Ask It?
09:31Evil-GPT | TryHackMe Write-up
09:24OpenAI GPT-5.5 Review, Agentic Coding and Research Model
09:24From Zero to AMD GPU: How to Connect, Set Up, and Train Models with Free Credits
09:23Supply Chain Attack Vectors | TryHackMe
09:14Securing the AI Supply Chain | TryHackMe
08:06ChatGPT 5.5 vs Claude Opus 4.7: Which One Is Actually Better?
07:49I Thought AI Needed Better Models — It Actually Needed Better Search Data
07:42If You Think AI Will Replace Jobs, Here’s Why Learning Agentic AI Is Your Safest Career Bet
07:41(Almost) everything has changed
07:31Planning in Agents — How AI Decides Steps
07:27How AI Models Are Trained: A Visual Explainer With No Math
07:16Qwen3.6–27B Is Here: A Practical Open-Weight Model for Agentic Coding
07:12Your Data in LLMs: The Silent Risk Nobody Is Talking About
07:11The Death of Traditional RAG? Andrej Karpathy’s “Wiki-Compiler” Strategy
07:07Decoding DeepSeek-V4
07:02Yantraśarīra Ātmā | Self with a machine-body
06:50GPT-5.5: The Model That Thinks Ahead
06:49From Context to Control in Practice
06:48Show HN: How LLMs Work – Interactive visual guide based on Karpathy's lecture
06:24Becoming a Python AI Engineer in this Modern AI Era: What It Takes Today vs. Before
06:22I Tested All 4 DeepSeek V4 Modes on 20 Real Tasks — The @@CONTENT@@.04 Flash Won 7 of Them
05:19ACL 2026 Personalized Benchmarking Paper Tailors LLM Tests to User Tastes
05:07We Gave Our AI a Brain Transplant. Here’s What Survived.
04:24Anthropic tested removing Claude Code from the Pro plan
03:53The Great Convergence: From Frontier Models to Edge-First Intelligence (2024–2030)
03:31LLM Latency Optimization Techniques: A Practical Guide for Beginners
03:24The Dirty Secret of AI Apps — Nobody Tests Them Properly. Here’s How to Fix That.
03:08⏳ Last 24 Hours Left to Join , Build Your Own Small Language Model in a Weekend ⏳
02:31Prompt Engineering: From Basic Inputs to High-Precision AI Outputs
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