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models are getting costlier but by performance getting cheaper. perhaps they don't see a point supporting really low performance models?

I would be curious to know if from the enterprise / API consumption perspective, these low-performance models aren't the most used ones. At least it matches our current scenario when it comes to tokens in / tokens out. I'd totally buy the price increase if these are becoming more efficient though, consuming less tokens.

why isn't nano available in codex? could be used for ingesting huge amount of logs and other such things

IMHO the best way is to let a SOTA model have a look at bunch of random samples and write you tools to analyze those.

I think, no model, SOTA or not, has neither the context nor the attention to be able to do anything meaningful with huge amount of logs.


interesting that they have an agent that is triggered on flaky CI failures. but it seems far too specific -- you can have pull request on many other triggers.

there doesn't seem to be any upside on having it only for flaky tests because the workflow is really agnostic to the context.


I don’t agree that AI can’t fix this. It is too easy to dismiss.

With AI my task to review is to see high level design choices and forget reviewing low level details. It’s much simpler.


Always good to see sophisticated humour like this. Nice!

> I’m not sure. Beyond the slop many of the classics were deeply racist and built on immoral exploitation. Yes all those artists did great work but they did it in terrible conditions for where near enough pay.

This is so naive, I can't even begin to tell you how wrong you are. Hollywood is the first window into the western way of life for many third worlders. And if you knew how the third world really is, they are much more racist, much more primitive than the West.

In reality, Hollywood opens up people into western culture - openness, rationality and so on.


Just trying to understand your point here- so non-westerners are primitive and irrational, unlike the West, led by Donald Trump, champion of rational, elevated discourse?

He's right. Moral self-righteousness aside, Hollywood was a window for many of us in "developing countries" to a better world. Yeah, it was an idealized version of reality, but that's how many of us discovered science, athleticism or sexual freedom, for example.

yes that's my point. Trump is an aberration.

for what it's worth, I agree. there's a lot that hollywood contributed and a large part of our culture can be attributed to things that stuck from hollywood.

As an example: I know that the particular type of sitcoms like Friends or How I Met Your Mother are very popular in third world countries. They are the first real window into western culture for many people in such countries. A lot of ideas like promiscuity, dating, career and the western way of life are primarily introduced to people through such media.

Its hard to overstate the impact this brings. Once you have enough people exposed to such ideas, the mindset changes and the ripple effects are pretty huge.

Third world countries would still be in their old and primitive lifestyle if not for the propaganda of Hollywood which I very much welcome.


I've been thinking about this, what if AI runs autonomously and finds things to criticise that are factually incorrect?

It is easy to do in social media because the context is global but in enterprises it is a bit harder.

Something like "flagged as very likely untrue by AI" is something I would really appreciate.

I see many posts and comments throughout the internet that can easily be dispelled by a single LLM prompt. But this should only be used when the confidence is really high.


Why do you think an LLM knows what is fact?

Same way I do. I ask the truthfulness of a fact in ChatGPT and it gives me good answers almost always


Yes. Can someone tell me why even HN has bots. For selling upvotes to advertisement purposes?

I'm not a bot and definitely not advertising - I'm new on HN and trying to contribute with a few comments where I can.

AI helps in both, so not sure what your point is?

its like saying "don't write code because we will have to debug it later".


Well you aren't writing the code, the AI is and you are letting the AI debug that created it in the first place and it doesn't learn from the experience in the same way. Hopefully you understand the problem in such a degree that you can spec away the problem in the next iteration. I'm seeing that issue now, people just forget to learn what the issue is and keep repeating mistakes that are regurgitated from the training material.

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