

One of the strengths of the too-many-approvals approach was that it made sure developers were still looking closely at every little change.
More likely it made developers immune to the approval button, instead just clicking approve blindly.


One of the strengths of the too-many-approvals approach was that it made sure developers were still looking closely at every little change.
More likely it made developers immune to the approval button, instead just clicking approve blindly.


I would say: Learn to use LLMs as a tool rather than a crutch.


That understand gamers about as much as you understand marketing. It’s about percentages. If they get some small percentage to buy the subscription, it’s a win. It matters absolutely nothing how many people are irritated by the ad.


Did you read the article at all? That is the entire point. That there are too many games relative to the number of gamers.


has shown 100 percent efficacy in early trials
I am always suspicious of any vaccine showing 100% efficacy.


I’ve never seen it recommend a solution using regex. And I’ve had it provide a lot of useful code. Perhaps you need to look into prompt engineering training?


Minority Report becomes a documentary?


Try reading the question again, this time answer without hating all things LLM. OP asked if AI could be used for initial peer review, to which the answer is a big yes.


I know you think you’re being clever. But what you really are is arrogant. Telling someone the answer to their problem is to do as you do, instead of helping them with their issue.
That was an article without much to say. Might as well have been a tweet.