Comment by clumsysmurf | Hacker News Reader

Comment by clumsysmurf | Hacker News Reader

I'm not very interested in ChatGPT, etc but I found these tangential points interesting:

> Although Python and Java continue to be the most frequently used programming languages on the O'Reilly platform, the report discovered a substantial growth in interest in Go and Rust, with both experiencing 20% and 22% growth

> Interest in coding practices experienced 35% growth, the largest jump among software development topics, indicating that developers are highly motivated to improve their programming skills. In the same topic group, quantum computing showed a 24% year-over-year gain.

> Developers frequently looked to grow their “soft skills,” accessing topics around project management (47% growth), professional development (37% growth), and communication (26% growth).

Did you try it out?

Aren't you impressed how well it understands your questions?

I have never seen a tech demo as good as chatgpt.

I've used it quite a bit while developing and it regularly gives very wrong answers. Sometimes giving me java code and then getting the library dependency wrong. Or giving a version for the dependency that doesn't even exist.

I've asked it questions about Demon's Souls while playing and it told me quite confidently that the NPC the Filthy Woman does not exist (she does).

It feels more like a parlor trick for children and it's forced me to waste extra time verifying what it tells me using secondary sources.

It sounds like you're trying to use it like Wikipedia when it's really more like Microsoft Word.

Asking it for plain literal facts is the weakest use of it IMO.

Why chatgpt and not GitHub copilot?

I don’t know about GP. But my issue with ChatGpt is that it always has an answer. Even if the answer is factually incorrect. It’s impressive no doubt. But this notion that there is some intelligence behind it is just baffling to me.

I think chatgpt will cause a LOT more problems than it will solve.

One problem is that the average person thinks it is good. From a technical view I don't see anything interesting, it is garbage in garbage out. It depends on the quality of the training data.

Reply on news.ycombinator.com