this post was submitted on 06 Jun 2026
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For what? It's not reliable enough to actually automate anything and people that use it regularly inevitably stop checking the output and start falling victim to hallucinations. It's pretty good at rifling through social media posts which I don't think is good for society and it's OK as a frontline support system but even that they normally go too far and just make it infuriating
I automate plenty with it, no you cant be an idiot about it but i can do what used to take me weeks in hours with it.
Yeah I think Lenny’s generic take is heavily colored by the absolute morons using it moronically. That’s a large number of people because lots of people are…well, morons. But you can definitely use it in productive ways. Keeping a human in the loop right now I think is very prudent, for cost and reliability reasons, but man does it decrease drudgery in capable hands.
It doesn't need to fully automate anything to make people more productive. And I think there's ample evidence it can greatly increase productivity in some fields. We're in the bumpy phase of finding out how much human supervision is needed in each field so you're bound to hear about ways it has been misused but everyone I've talked to who uses it professionally thinks it helps them get a lot more done than without it.
I don't believe that for a second. Everyone I know that talks about being more productive is just pushing extra work onto more responsible people by making output that looks like work but isn't sufficient.
This is half true. It's not reliable enough to automate an entire job but it is reliable enough to automate tasks that would otherwise take a lot of time, usually related to sifting or searching data.
If I need to look through a massive set of data like Google for something thst I can only describe with an explanation, the LLM will do a much faster job actually finding what you need rather thsn spending an hour manually sorting through SEO slop.
You don't even need the cloud models for this, you can slap SearXNG onto a local model at home.
It's basically just an autocomplete search on steroids which is its biggest advantage. Any documentation you need is immediately accessible, which is especially useful if you have zero experience with something niche or new.
Now actually getting the LLM to consistently generate output is a completely different story lol.
We call that vibe coding.