AI

The pace of the frontier seems to be picking up rapidly over the last few months. Most mornings I’ll wake up and check my phone and there’s been another breakthrough overnight and the new best model has changed yet again. One thing that’s usually quite common when a new model is released is the provider will often show off the new benchmarks, highlighting their higher numbers compared to some of their other models or competitors. I feel like this act of showing off the benchmarks all the time is drumming into people: “This one is the best, you need to use this one, and if you don’t, you’re missing out.” However, if you’re doing a task that doesn’t require a high level of intelligence, switching up the model tier will often result in either marginal or no gain at all, but it might result in you paying more for effectively the same output. ...

This weekend I’ve been experimenting with Hermes Agent using the new DeepSeek V4 Flash model. One thing I’ve been quite interested in is how I can make publishing to my blog a lot easier. It always feels quite laborious to have to go to my computer, sit at the desk, and type out a blog post. It takes a long while this way, and I often stress over individual words for quite some time. That means the effort required to actually publish an idea is quite high. ...

I’ve recently been experimenting with the idea of creating a generative AI prompt which can build other prompts for specific personas. Sometimes I know roughly what I want, but I don’t really know all of the required detail of how to describe it. For example, let’s say you want to have a conversation with a Large Language Model (LLM) which directs you to Cognitive Behavioural Therapy (CBT) techniques. You might know that this is what you want, but you might not know all of the detail of how to describe this. To do that you’ll first need to know how to write a good, detailed, targeted prompt. On top of that, you’ll need to understand exactly how CBT works and then describe it in terms of a prompt. The idea behind this approach is to use the autoregressive nature of generative AI (text-to-text) to first have a conversation that extracts exactly what you want, amend and confirm what it suggests, and then narrow this down into a prompt template which you can keep and use in a repeatable way. I will show some examples of how to do this with ChatGPT, however you could experiment with the same approach using any other similar LLM provider, or even a local LLM via GPT4All or Ollama. ...