I don't quite believe in the doom scenario: a lot of stuff depends on the correct functioning of software. However language model don't have a complete model of reality, they won't be able to evaluate if a given change is sufficient. Therefore systems based on language models will not be able to provide complete solutions - for some time to come. There will still be quite a bit of work in software development.

Not completely. Novelty used to be a major thing, when Humans did it. Another important criteria used to be if that new thing makes sense at all. Here the language model has a problem, as it doesn't have the means to evaluate this criteria.

“a human may select or arrange AI-generated material in a sufficiently creative way that ‘the resulting work as a whole constitutes an original work of authorship.’”

"copyright would extend to the material the human author contributed but would not extend to the underlying AI-generated content itself."

The linked document is mentioning the act of selecting AI generated images for a comic book as an example, where the result is adding material that is copyrightable on its own merit. I am not sure if the same line of reasoning would apply to programming.

"in one early case, for instance, the Office found that the selection and arrangement of AI-generated images with human-authored text in a comic book were protectable as a compilation."

I think that AI is adding an extra layer of politics to just about everything. It is as if we are entering a phase of super-extra politics, as everyone is trying to figure out what should come next.

Instead of a war with machines we get an eternal war among lawyers and managers. Don't know which prospect is worse.

A linked-in post on CS enrollment at universities:

https://www.linkedin.com/posts/eric-pop_has-computer-science...

"In the past two years, the drop was ~20% at UC Berkeley and ~30% at UC Davis, while UC San Diego is the only one still rising."

On the other hand: LeetCode traffic rankings are up, so some people still solve programming problems by hand - or they hope to get a job, by being able to solve them.

https://www.semrush.com/website/leetcode.com/overview/

I think this is a confusing time. It will probably take a while, until things become clearer.

Comments URL: https://news.ycombinator.com/item?id=49037377

Points: 8

# Comments: 5

My thoughts on the subject: What would Aristotle have said? The LLM is simulating Aristotle's response, based on syntactic and pragmatic dependencies between words and phrases taken from his works. Often you will get a sensible answers, but sometimes you won't. It will require some understanding of the larger context to tell the difference, you again need to read some books in order to tell the difference and in order to engage in a meaningful Socratic dialogue. Without human scrutiny you will get wrong results, and you need some real training to handle that.

Comments URL: https://news.ycombinator.com/item?id=48930824

Points: 3

# Comments: 3

[1] https://news.ycombinator.com/item?id=48870966 pgrust passes 100% of the Postgres regression tests

[2] https://news.ycombinator.com/item?id=48837877 Rewriting Bun in Rust

[3] https://news.ycombinator.com/item?id=48789325 My AI-built PHP engine in Rust passes 17% of PHP-src tests, renders WordPress (ekinertac.com)

https://github.com/MoserMichael/tips_on_using_google_ai_mode

The introduction of AI overviews into Google search will cost quite a lot in compute/other resources, despite heavy caching, therefore this might be a significant bet in terms of costs vs profit for Google. What does Google expect from this feature in terms of business results? This seems to be quite a big bet, but what is actually at stake - in real terms?

Come to think of it: is there now a showdown between Google and Microsoft/OpenAI, where collateral costs are no longer taken into account?

I had similar thoughts, but it would probably not make a difference, at this stage. What is there stays there - either online, as in the case of HN, or as part of some collected dataset.

In hindsight: the world changed in so many ways, from the world I knew some twenty years ago, and I am not even talking about politics or technology: the attitudes and perception of people seems to have changed in many ways. Back then I thought it would be of benefit to be open and upfront about things. Now that is no longer a common perception.

Enough said.