Archive of posts with category 'ai'

A real boring admission

A real boring admission

This will be short. I want to explain why I haven’t been writing recently. It’s about AI and it’s a shameful admission.

Reading time: 1 minutes
Things to do before starting your big GenAI project

Things to do before starting your big GenAI project

You’ve heard the warnings. You’ve read up on the importance of figuring out your ROI before starting on your journey. The calculations show a positive return on investment for your project. Now what? Where lie the monsters? Here! Look here!

Reading time: 10 minutes
Effort is for Winners, or why I'm removing ai-generated content

Effort is for Winners, or why I'm removing ai-generated content

I’m removing AI-generated slop-illustrations from the blog. In this brave new world of genAI, intentionality and process matter more than ever. When everybody can cheat, the exam answers are worthless. What you test for is the process. This feels familiar.

Reading time: 8 minutes
What's the ROI on your genAI deployments?

What's the ROI on your genAI deployments?

What’s the payback time for your fancy GenAI project? Will the rate of return outdo the stock market? As GenAI becomes less magical fairydust, and more hands-on work, it’s time you looked at the ROI on your GenAI initiatives.

Reading time: 10 minutes

All art here will be handmade going forward

Announcement. Most of the illustrations in this website were generated by Google’s Gemini AI. It was done when I didn’t know any better. I will eventually be replacing them with my own hand-drawn art.

Reading time: 1 minutes
Posting llm-generated content as your own is hurting you

Posting llm-generated content as your own is hurting you

Seriously, don’t publish that raw ChatGPT’d thinkfluencer piece as your own. Nobody’s falling for it, everybody’s doing it, and you’re cheating yourself.

Reading time: 4 minutes
Running large language models (LLM) locally on your Mac using OLLAMA

Running large language models (LLM) locally on your Mac using OLLAMA

This is an introduction to Large Language Models (LLMs) and an instruction to running them locally on a Mac using OLLAMA.

Reading time: 8 minutes
LLM's will be the next spellcheck assistant, not the next robotic overlords!

LLM's will be the next spellcheck assistant, not the next robotic overlords!

I’ve changed my opinion on genAI and LLM’s a few times now. As technology, politics, and economics around these technologies change, my beliefs have evolved. In this essay I propose that generative AI will be mostly a collaborative revolution. Generative models can magnify human abilities and make collaboration easier. We...
Reading time: 3 minutes
What's next for AI? My predictions for the next 10 years

What's next for AI? My predictions for the next 10 years

Explainable AI, optical AI, analog AI, and meta-learning. I predict the culmination of optimizing massive generative models will result generative AI being turned into a commodity, and these four areas will be the next frontiers of innovation in machine learning.

Reading time: 6 minutes
The risk of production, customer-facing LLM's let lose

The risk of production, customer-facing LLM's let lose

Readers of technology-adjacent news might remember the recent case where a Canadian passenger, Jake Moffatt, sued Air Canada after its online chatbot misinformed him about bereavement fares, costing him hundreds of dollars? Air Canada ended up losing the case, and now must stand by the commitment made by its AI...
Reading time: 9 minutes