Tbh I don’t see why I would use this. I don’t need an ai to connect across ideas or come up with new hypothesis. I need it to write lots of data pipeline code to take data that is organized by project, each in a unique way, each with its own set of multimodal data plus metadata all stored in long form documents with no regular formatting, and normalize it all into a giant database. I need it to write and test a data pipeline to detect events both in amplitude space and frequency space in acoustic data. I need it to test out front ends for these data analysis backends so i can play with the data. Like I think this is domain specific. Probably drug discovery requires testing tons of variables one by one iterating through the values available. But that’s not true for my research. But not everything is for everybody and that’s okay.
The doing tends to be the hard part. Every scientist has 1000 idea for every one they get a chance to pursue.
That said, I requested early access.
I think you're just not the target audience. If AI can come up with some good ideas and then split it into tasks some of them an undergrad can do - it can speed up the global research speed by involving more people in useful science
Agreed - AI that could take care of this sort of cross-system complexity and automation in a reliable way would be actually useful. Unfortunately I've yet to use an AI that can reliably handle even moderately complex text parsing in a single file more easily than if I'd just done it myself from the start.
> I don’t need an ai to connect across ideas or come up with new hypothesis.
This feels like hubris to me. The idea here isn't to assist you with menial tasks, the idea is to give you an AI generalist that might ne able to alert you to things outside of your field that may be related to your work. It's not going to reduce your workload, in fact, it'll probably increase it but the result should be better science.
I have a lot more faith in this use of LLMs than I do for it to do actual work. This would just guide you to speak with another expert in a different field and then you take it from there.
> In many fields, this presents a breadth and depth conundrum, since it is challenging to navigate the rapid growth in the rate of scientific publications while integrating insights from unfamiliar domains.
Imagine someone can do the things you can’t do and needs help doing the things you can.
Exactly, they want to automate the most rewarding part that we don’t need help with… plus I don’t believe they’ve solved the problem of LLMs generating trite ideas.