Showing 1 - 4 of 4
Life, James Hein, Published on 24/09/2025
» There's going to be a lot on artificial intelligence topics this week so let's get started. For the time being, the most common way to leverage an AI product is using a prompt of some kind. To that end, you will see lots of posts on platforms declaring that they have the best god-level prompts for large language models (LLMs). A prompt is something like, "What are the top ten songs from Depeche Mode?", or "Draw me a picture of a frog on a toadstool in the style of Alice In Wonderland with vivid colours". The more detailed and nuanced the prompt, the better the desired outcome tends to be. As with everything in the computer world, there are bad actors looking to take advantage of this.
Life, James Hein, Published on 17/06/2020
» - As I write this it has been a strange two weeks in the world and this has kept most news on the technology front well in the background.
Life, James Hein, Published on 20/11/2019
» Those who have known me for a while know I'm a lover of new technology. Aside from computer- and guitar-related items, I also like to listen to good quality sound playback. To further that goal I recently picked up a few FiiO devices. The M5 is a small, square, HD music player. It supports all Bluetooth protocols and when they are available up to a 2TB microSD card. While the unit will play back MP3s the focus is on the high-end codecs including FLAC. I paired this with the new FH7 in-ear headphones, which provided the broadest soundscape I have ever listened to and allowed me to follow a single instrument through the entire song. The last item was their BD3, a small unit that plugs into a cable allowing the headphones to act as a Bluetooth unit that can be paired to the M5 if I decide to wear it like a watch. As I found out when researching, you can pay some very large sums for headphones and related equipment but this set seems to be a nice sweet spot of quality and flexibility without going crazy.
Life, James Hein, Published on 28/08/2019
» Why do we care about machine learning and the kind of Artificial Intelligence (AI) systems I mentioned last time? The amount of data being taken in by systems in modern times is outstripping the ability of humans to keep up. Enter machine learning systems to pre-process the information, highlight patterns and identify the bits and pieces that humans may find interesting. Key areas include fraud detection, whereby a set of rules is applied to data and flagged if those rules are detected. It also includes the age-old problem of the best delivery routes to bring manufactured goods to customers, with the additional benefit of using less fuel. A recent McKinsey report found that AI improved on "traditional analytics techniques" in 400 use cases across 19 industries and nine business functions. As far as the current situation, AI or machine learning is not an end state. Human intervention is still required to make sure the results make sense and also to ensure stuff isn't being missed in the process. There is also continuing training and refinement being regularly applied. It's a growing field and those organisations that are not at least aware of it could be left behind by their competitors. At least, until Skynet takes over.