LLM News and Articles

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Saturday, 2026-04-25
10:04What Are Large Language Models? LLM Meaning, Uses & Risks
09:51Why Building AI Systems Feels Messy: Until You Use Llama Stack
09:39Why LLMs Can’t Remember — And How We’re Fixing It: Episodic, Semantic & Procedural Memory Explained
09:38From Prompts to Precision: My Journey Learning Fine-Tuning Large Language Models
09:36Prompt Caching : Making LLMs Fast and Practical
09:20DeepSeek V4 Review
08:53Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git)
08:38The Reality Check: 5 Impactful Truths About How We Actually Measure AI Intelligence
07:59OpenAI Is So Done For
07:47Building Agent Skills for Claude Code — Only 5 Seats Left
07:39My AI Agent Returned Nothing. The Search Router Was Working Perfectly.
07:31ReAct Pattern — Reason + Act Explained
07:16The 1M Context Lie: Why V4’s Hybrid Attention Is the Death of the 8×H100 Standard
07:11Criando sua própria IA (LLM) para consultas
07:00Testing GPT-5.5 in early access: what we are seeing so far
06:48Here it Comes: The End of AI’s Market Capture Era
06:47What Are Large Language Models and Why They Matter
06:44Is Apple “Behind” In AI If People Hate AI?
06:41Multigen: The AI Agent Framework Built for the Real World
06:16Your Model Has No Idea What Came First — Unless You Tell It
06:15ChatGPT Recommends the Same 3 Companies to Every B2B Buyer. Until They Specify
05:30GPT-5.5 Prompting Guide
05:12Last Call: Build your own Language Model from scratch
04:29GitHub Copilot: GPT-5.5 7.5x more expensive under promotional pricing than 5.4
03:50Google S2Vec: A Framework That Can Identify Rich From Poor Neighborhoods
03:44Convergence Under Constraint: The Illusion of Human-AI Cognitive Symmetry
03:29DeepSeek V4 Released: The AI Model That Changes Everything
03:15Musk Drops Fraud Claims Against OpenAI, Altman Ahead of Trial
02:24Image Analysis — OpenAi/Openrouter python tutorial
01:52OpenAI's Sam Altman writes apology to community of Tumbler Ridge
01:24Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
01:24Applying the Saga pattern to LLMs
01:19AI Safety as Cultivation: Yogacara, Seeds, and Reflective Self-Evolving Systems
00:41Sam Altman Wants to Know Whether You're Human
00:02THE GEODESIC CERTIFICATE: A HARD BOUNDARY FOR INTELLIGENT SYSTEMS
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
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