Epium Blog

Clear-eyed takes on AI and tech. Occasionally harsh, always grounded. Always honest.

An idea of how to improve usefulness of AI systems by utilizing a multi layered memory model

Beyond Context Windows: A Simple Idea for Real AI Memory

29 Nov 2025

AI assistants are getting bigger context windows, but they still forget everything that matters. This article lays out a practical idea for fixing that: a three-layer memory system – short-term, mid-term, long-term – that lets an assistant keep continuity over days, weeks, and projects without drowning in raw transcripts. It’s not a grand theory or a product spec, just a blueprint for how AI could move from a clever tool to a real long-term collaborator.
Stylized illustration of a digital secret agent in a trench coat labeled ‘Agent 001010,’ symbolizing agentic AI automation with a license to optimize.

Agentic AI Explained

30 Oct 2025

Agentic AI marks a practical step forward in automation - not a leap toward artificial general intelligence. It connects goals, memory, and tools around a simple loop of observe, decide, act, evaluate, repeat. This article explains how these systems actually work, what they can automate effectively, and why their real power lies in dependable execution rather than self-awareness.
Practical guide to using AI to optimize Amazon listings in 2025

Practical AI for Amazon Listings (2025): Writing for COSMO, Not Keywords

4 Oct 2025

AI isn’t magic - it’s an assistant. And like any assistant, it only delivers quality when you give it clear instructions. This guide shows how to use AI for something concrete: writing and optimizing Amazon listings in 2025. You’ll see exactly how to brief an AI so it produces usable, compliant copy that aligns with Amazon’s COSMO algorithm - instead of keyword-stuffed nonsense. If you want to understand how prompt engineering translates into real business outcomes, this is it.
When we get AGI it's not going to run away overnight.

AGI Won’t Explode – It’ll Crawl (And We’ll Still Have Time to Pull the Plug)

12 Sep 2025

The Hollywood fantasy says AGI will wake up, rewrite itself in seconds, and take over the world. Reality says no. Training frontier models takes months, costs millions, and burns megawatts. Compute, math, and bandwidth don’t vanish because a script demands it. AGI won’t explode - it’ll crawl. The real threat isn’t machines escaping, it’s humans rushing to give them power before they’re ready.
Retrieval Augmented Generation - RAG

If you want AI that actually knows your data, use retrieval-augmented generation (RAG)

19 Aug 2025

RAG (retrieval-augmented generation) connects AI models to your actual business data, products, and documents so you get accurate, context-aware answers instead of generic responses. This article explains what RAG is, how it works, and why it’s essential if you need an AI assistant that truly understands your company.
RAG Explained and problems with them

RAG Decay: Why Your Knowledge Bot Gets Dumber Every Week

14 Aug 2025

Retrieval-Augmented Generation (RAG) can make your AI sound like it knows your business inside-out - until it quietly rots. This post explains what RAG really is, why it decays into stale, bloated answers, and the unglamorous maintenance work that keeps it sharp and trustworthy.