Firstly, I think skepticism is a healthy trait. It's OK to be a skeptic. I'm glad there are a lot of skeptics because skepticism is the foundation of inquiry, including scientific inquiry. What if it's not actually Zeus throwing those lightning bolts at us? What if the heliocentric model is correct? What if you actually can't get AIDS by hugging someone who's HIV positive? All great questions, all in opposition to the conventional (and in some cases "expert") wisdom of their time.

Now in regards to LLMs, I use them almost every day, so does my team, and I also do a bit of postmortem and reflection on what was accomplished with them. So, skeptical in some regards, but certainly not behaving like a Luddite.

The main issue I have with all the proselytization about them, is that I think people compare getting answers from an LLM to getting answers from Google circa 2022-present. Everyone became so used to just asking Google questions, and then Google started getting worse every year; we have pretty solid evidence that Google's results have deteriorated significantly over time. So I think that when people say the LLM is amazing for getting info, they're comparing it to a low baseline. Yeah maybe the LLM's periodically incorrect answers are better than Google - but are you sure they're not better than just RTFM'ing? (Obviously, it all depends on the inquiry.)

The second, related issue I have is that we are starting to see evidence that the LLM inspires more trust than it deserves due to its humanlike interface. I recently started to track how often Github Copilot gives me a bad or wrong answer, and it's at least 50% of the time. It "feels" great though because I can tell it that it's wrong, give it half the answer, and then it often completes the rest and is very polite and nice in the process. So is this really a productivity win or is it just good feels? There was a study posted on HN recently where they found the LLM actually decreases the productivity of an expert developer.

So I mean I'll continue to use this thing but I'll also continue to be a skeptic, and this also feels like kinda where my head was with Meta's social media products 10 years ago, before I eventually realized the best thing for my mental health was to delete all of them. I don't question the potential of the tech, but I do question the direction that Big Tech may take it, because they're literal repeat offenders at this point.

>So is this really a productivity win or is it just good feels?

Fairly recent study on this: LLM's made developers slightly less productive, but the developers themselves felt more productive with them: https://www.theregister.com/2025/07/11/ai_code_tools_slow_do...

There is definitely this pain point that some people talk about (even in this thread) on how "well at least AI doesn't berate me or reject my answer for bureaucratic reasons". And I find that intriguing in a community like this. Even some extremely techy people (or especially?) just something just want to at best feel respected, or at worst want to have their own notions confirmed by someone they deem to be "smart".

>I don't question the potential of the tech, but I do question the direction that Big Tech may take it, because they're literal repeat offenders at this point.

And that indeed is my biggest reservation here. Even if AI can do great things, I don't trust the incentive models OpenAI has. Instead of potentially being this bastion of knowledge, it may be yet another vector of trying to sell you ads and steal your data. My BOTD is long gone now.

Yeah I mean at this point, the tech industry is not new, nor is its playbook. At least within B2C, sooner or later everything seems to degenerate into an adtech model. I think it's because the marginal cost of software distribution is so low - you may as well give it away for free all the way up to the 8 billion population cap, and then monetize them once they're hooked, which inevitably seems to mean showing them ads, reselling what you know about them, or both.

What I have seen nobody come even NEAR to talking about is, why would OpenAI not follow this exact same direction? Sooner or later they will.

Things might pan out differently if you're a business - OpenAI already doesn't train its models on enterprise accounts, I imagine enterprise will take a dim view to being shown ads constantly as well, but who knows.

But B2C will be a cesspit. Just like it always ends up a cesspit.