Just taking a bit of time on this Saturday morning to update the blog.
I’ve not been in the headspace of daily updates for a good few weeks/month now, for personal reasons. But that’s life and alas, normal service will eventually be resumed. I have the vision for the next stage of this blog site – initially I just wanted a basic journal platform, and WP is always going to win at that.
So, what’s going on in with AI?
- It’s still shocking people at what it can do
- It’s still very hard to keep up to date with all the developments
- It’s still improving
For me, being able to write python scripts without having that grounding in python … having had generic programming grounding it now means I can produce at least small useful tools or scripts in other languages that I’m not traditionally familiar with.
I’ve been doing quite a bit with playwright – absolutely phenomenal for data trawling… and this is without using LLMs at the moment to look at that data. But it’s all very fascinating when you consider the value add you can give companies on the data mining front now.
Devices will eventually have the equivalent of Cursor running as their own containerised environment from which they can safely run things like python scripts. So you will be able to talk to your laptop, ask it to go and get the latest information from (insert any website here), interpret as per some pre-chosen rules you’ve created, and then it will write a python script that goes out and gets that data for you, puts it in some sort of data pipeline.
LLM Output Containers
I’m not an expert at containers, but can clearly see that LLMs will eventually want to be able to start executing code on the users behalf. They already do this to an extent, but it will be abstracted away more. For instance, cursor will write your python program and run it, but it still needed to set that all up, and it does this within your own local environment… whereas it will probably have its own container quite soon.
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