Comment by delegate

I think the parent post meant that it's very good at writing code and operating the computer. I think we're also biased because we've used older generation models and the latest ones are orders of magnitude better than what we had 6 months ago.

For example, for your legal work, it can:

Develop a machine learning model (CRF, running on CPU) for clause extraction from scratch, Find training documents and training data and train the model for various provisions (you might help it here by pointing it to the directory with annotated documents),

Build an app where you upload your legal documents and it extracts the provisions you want from all documents.

Integrate semantic search and an AI agent into your app which lets it answer any question about your documents with exact evidence from the documents.

All of this from one well crafted prompt, a few skills and a workflow. It could probably complete this in one night, while you sleep.

Or you can point it to your saas of choice and tell it - 'create me a copy of this app'.

All you need to know is how to steer it through the planning/research phase.

So it's not that it's 'accurate' in legal terms, it's that it can build you any tool you want from scratch so that you can become more accurate.