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Have you seen how many people talk to bots these days thinking is a real person. Or that are even in a relationship with them or friends.


Sometimes I wonder if LLMs are just revealing a section of the population with untreated mental illness or if LLMs are actively exacerbating mental illness.

We might eventually regret exposing the general population to such a new technology without almost any safeguards.


Have you seen how many people form one-sided bonds with stars that don’t know they exist? Lonely people suspend disbelief to find some comfort. It’s not proof that the chatbot is indistinguishable from a human companion.


Okay, but the same could have been said about ELIZA.


So? The people who can do it prove it can be done - the people who can't don't prove the opposite. Might as well claim all math is wrong because most people don't understand it.


I can get quite a lot of knowledge on a domain pretty quickly these days. But yeah domain is important


If no thinking is required, why do you need thinking in the first place. Seems useless. If an ai can do it, why you need a human to be able to do, human should be doing something the ai can't.


Definitively our approach is ai dev ex first.


Protocols that literally insert a bit are HDLC / PPP / CAN and they insert a 0 after a few 1s


I've been using codex and never had a compile time error by the time it finishes. Maybe add to your agents to run TS compiler, lint and format before he finish and only stop when all passes.


I’m not sure why you were downvoted. It’s a primary concern for any agentic task to set it up with a verification path.


You can't see diffs in git?

How you using hooks?


That’s a separate tool though. You don’t want to have to open another terminal to git diff every 30 seconds and then give feedback. Much better UX when it’s inline.

My main hooks are desktop notifications when Claude requires input or finishes a task. So I can go do other things while it churns and know immediately when it needs me.


You could easily guard against bullshit issues. So you can focus on what matters. If the issue is legit goes ahead to a human reviewer. If is run of the mill ai low quality or irrelevant issue, just close. Or even nicer: let the person that opened the issue to "argue" with the ai to further explain that is legit issue for false positives.


How is an llm supposed to identify an llm-generated bullshit issue...? It's the fox guarding the henhouse.


Just try and you'll see if it can work. Just copy paste some of these issues give context of the project and ask if makes sense


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