simonjuk

We recently recruited two developers. Our recruitment process involves asking three questions before the interview stage. Almost every single answer was written by AI - they all followed the same format and presented the answer in the same way, customised to the applicant.

It was mind-numbing. The non-ai applicants were obvious and really stood out as the best answers.

In my experience, there are two ways to use AI: speed or quality. Speed is where you give the AI a task to do and you review it; quality is where you write the code yourself and you get AI to review it. Both are valid for different situations.

I work with public data, and I'd love to get access to this data, but I suspect that although you have scraped the data from public websites, there are licensing and copyright implications for actually using it.

See also the open addresses project by Data Adaptive [1] which is using Freedom of Information requests to publish public council tax address data. The problem they have run into there is that their address datasets are derived from proprietary Ordnance Survey data.

It looks like data.gov.uk is in the process of standardising the planning application process, and publishing them under OGL [2].

[1]: https://www.owenboswarva.com/blog/post-addr44.htm [2]: https://www.planning.data.gov.uk/dataset/planning-applicatio...