By Richard Martin
Fortune favours the bold. Not the timid.
We do ourselves a disservice if we don’t at least try to experiment with new technologies and new approaches. I ordered my first book on the topic of Bitcoin on Amazon on 28 Feb 21 (The Bitcoin Standard, by Saifedean Ammous), ordered a hardware wallet on Amazon on 19 Mar 21, then acquired my first BTC on a Canadian exchange on 23 Mar 21. It was only about $200 but it was enough to get started and to learn what it was all about. It’s funny what happens when you have skin in the game.
This has made me realize that I’ve taken this approach all of my adult life. I find the best way to learn is to invest a bit of resources and take it from there. If it’s not for me, the cost was minimal and bounded in time and space. I can move on having acquired more knowledge. If I continue to find value or be intrigued, I go deeper down the rabbit hole until I’m satisfied I’ve learned enough or want to go even further.
It’s the same with machine learning models like GPT and DeepL. I subscribed to DeepL after experimenting with the free version a bit and now use it for all my translation tasks. It’s almost perfect for English to French, less so for the opposite. But it’s great productivity boost. I can generate a reasonably accurate translation and take it from there. Now DeepL also has a writing engine as a beta and I’ve started experimenting with that.
I was wondering about how I could raise my productivity for cognitive tasks when I heard about GPT-4. I hadn’t paid much attention to ChatGPT before that, but version 4 seemed compelling. I invested a whopping $20 for a month of access and started experimenting with it. Is it perfect? No. Can it tell jokes like Seinfeld? Who knows and who cares. The important point is that GPT presents another opportunity to boost my productivity, save time and effort, and focus on more high-value areas for me and my clients.
But to get those advantages, it’s not enough to sit there and wonder how a new approach, technology, or product could be of benefit. We have to try it, or at least experiment a bit to see what it’s all about. And stop asking “what about this and what about that” type questions. There are ways to achieve this without betting the farm. Learn about them and start applying them.