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So no one's using Gemini on HN?

We're all busy doing work instead of incessantly commenting about our models?

Depends on the task. If it's something that occurs a lot in training data like React/tailwind code then I don't think you need SOTA. Most reasoning models since Sonnet 3.5, Deepseek 3.1 et al will do fine for those tasks.

Doesn't justify 10x the cost in that case imo


Yeah, what's going on in these cos is that a PM is tasked to find ways of integrating AI into product and well if someone's payroll depends on it they _will_ find ways to integrate AI into product. "Hey I couldn't find ways to integrate AI into product" is not an acceptable response.

And it's not just Uber. My weather app has an AI weather summary these days



> I feel like I really need to learn how to raise money

Well, cofounding Github helps


Title: Good Taste the Only Real Moat Left

Followed by an entire AI generated fluff piece https://www.pangram.com/history/347cd632-809c-4775-b457-d9bc...

Flagged


I got to the second section before I decided to scan how long it was, saw a wall of text, and decided that this article was low taste.

Moreover, the submitter of this article (probably not the author) spams ~4 submissions per day.


Every fucking time.

I hate this timeline.


> but could not recreate for a good hour.

For certain work, we'll have to let go of this desire.

If you limit yourself to whatever you can recreate, then you are effectively limiting the work you can produce to what you know.


you should limit your output (manual or assisted) to a level that is well under your understanding ceiling.

Kernighan’s Law states that debugging is twice as hard as writing. how do you ever intend on debugging something you can’t even write?


It's simple, they'll just let the LLM debug it!

This is why I believe the need for actually good engineers will never go away because LLMs will never be perfect.


Exactly. It's a force multiplier - sometimes the direction is wrong.

Same week I went into a deep rabbit hole with Claude and at no point did it try to steer me away from pursuing this direction, even though it was a dead end.


> Kernighan’s Law states that debugging is twice as hard as writing.

100%, but in a professional setting you often work with code _not_ written by you. What if that code is written by someone well above my ceiling?


That data could be entirely made up for all we know


Flagged for AI


Flagged for AI comment

This sh*t is getting out of hand right now. I deleted my Twitter recently because every tweet would have AI replies. And HN is dying the same fate.


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