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Exploring top ML papers weekly & delving into LLMs. Stay updated with AI Research insights.
AI Researches
+1
Sep 8, 2026
Fable 5.1, GPT-6 Astra, and Gemini 3.8 Flash: which models are overhyped, which ones are quietly outperforming expectations, and which one deserves your coding workflow.
Sep 7, 2026
Gemini 3.8 Flash is not the strongest model everywhere, but its coding performance, legal scores, and low price make it one of the most practical models to test right now.
AI Tools
Sep 3, 2026
These 6 free AI tools can help you break down complex ideas, ask better questions, practice what you’re learning, and build a much smarter study workflow.
+2
Aug 21, 2026
Every AI platform has its own way of handling workflows today. Agent Plugins 1.0 could change that by creating a shared layer where agents follow you wherever you work.
Prompt Engineering
+4
Aug 18, 2026
Use Search, Gemini, AI Mode, Deep Research, and Gemini Notebook to move from a vague question to stronger evidence, checked findings, and final outputs without drowning in tabs.
Aug 17, 2026
You’ll be able to build your own AI team that researches, codes, analyzes, and gets real work done, and honestly, this is a skill you definitely want to learn now.
AI Fire 101
Aug 14, 2026
Claude Code team removed over 80% of the system prompt for Opus 5 and Fable 5, with no measurable loss on coding evaluations. This guide is based directly on those 6 shifts.
Jul 23, 2026
Learn which model to try now, how to use it effectively, and get a head start on workflows before the main model is released.
Jul 13, 2026
Can GPT 5.6 Sol actually replace Fable 5 for serious work? Or is Fable still the model you open when quality matters more than cost?
+3
May 26, 2026
Here's an AI workflow automation system that collects research, updates notebooks, and creates slide decks, reports, mind maps, and audio briefings for you.
Apr 6, 2026
Turn Claude into a professional partner that knows your history. Save every session to a permanent vault and watch your AI grow smarter every day.
Jan 21, 2026
Move past the hype with real data from McKinsey and OpenAI. Learn why model wars ended and how workflows are replacing the dream of autonomous agents.
Dec 17, 2025
I spent months analyzing OpenAI research papers. Here are the 10 internal tactics they use to guarantee accurate, high-quality responses instantly.
LLMs (Large Language Models)
Dec 15, 2025
Benchmarks are cute. I tested the same prompts across GPT-5.2, Gemini 3, and Claude 4.5, and one of them actually finished the job.
Nov 24, 2025
This is Part 1 of the ultimate manual. We cover account setup, the secret interface, and the number one mistake beginners make with sources.
Most users fail because they ask the wrong questions. I share the exact three commands that force the AI to test you like a strict professor.
Nov 23, 2025
It beats GPT-5 on benchmarks but there's a catch. This 13-minute master guide reveals where Gemini 3 Pro wins (research) and where it fails (creativity)
Nov 12, 2025
Most people get boring answers from AI. The problem isn't the AI, it's the prompt. I'm sharing 10 structures that force the AI to give you perfect results.
Nov 11, 2025
Getting the same dull answers from your AI? It's not broken, it's just trapped. A new Stanford paper shows how to get truly varied, creative ideas.
Nov 10, 2025
Stop getting hallucinations and missed data. This guide ranks 11 advanced RAG strategies (from "reranking" to "knowledge graphs") to fix your AI
Nov 2, 2025
Stop getting "boring" AI results. This 8-word phrase from a Stanford study is the secret to an AI prompt that unlocks 2x more creative diversity
Oct 29, 2025
What are 700 million people asking AI? The answers are surprising. From relationship advice to simple small talk, AI's biggest uses aren't what we expected.
Oct 26, 2025
From $25M deepfake heists to $100B stock-crushing errors, AI safety is failing. Here's the guide to the 4 risks and how to fix them
How to make money with AI
Oct 21, 2025
Why do most trading bots fail? We look at common mistakes and detail why a 'one-step-at-a-time' machine learning model is a much more effective approach.
Forget complex terms. This post breaks down the 10 core papers that created AI as we know it. Understand RAG, LoRA, and Agents in simple, plain English.