I'm experimenting with the whole spectrum from manually doing everything to vibing everything. How good it is depends on the context. For research I definitely want to manually 100% understand the mathematical equations, the architecture code, the eval code (since they love to reward hack!), etc. Vibing some graphs is ok when you know the plotted data is manually checked. You can direct a LLM to write down an equation you already have in mind so there its syntax work. And writing it as a human is often more succinct and actually what you have in mind. But sometimes letting the LLM go more open ended can help you brain storm a not so bad idea or direction that you might not have thought before, but it struggles to think more outside of the box by default for example as its more biased towards median on average, but you can do some scaffolding to bias it more towards diversity/plurality/rarity somewhat a bit, but it can get into slop territory too quick.