Looking for technical stuff about DHCP. Google was returning lots of junk and so, wary that ChatGPT is a bullshit fountain, I asked it anyway.

It gave me several concise and to the point answers addressing exactly what I asked.

They were all completely wrong. It just confidently spouted bullshit the same way a narcissist bluffing about a subject they know almost nothing about will.

However, the bullshit it gave me allowed me to frame some pertinent google searches to actually get the information I wanted.

So I guess that’s a usage model for it: to guide your google searches.

The issue is that Google will slowly fill up with the output of the bullshit fountains, at which point we won’t be able to check their answers anymore, because they’ll effectively be marking their own homework.

Utter joy abounds (not really).

in reply to Sarah Brown

This…

We implement dnsmasq into our code using the modular nature of the C language. FTL v4.0 has always been multi-threaded for speed and efficiency. On startup, it launches a number of threads, each dedicated for specific tasks. We extend the already existing multi-threading in FTL to provide an even faster experience.

(Emphasis mine, which most of you won’t see because Mastodon has “Not Invented Here” syndrome on a huge scale)

…on the other hand, was written by a human, and “the modular nature of the C language” is an interesting way to say, “just write stuff onto the stack and then execute a jump instruction because that works with any old shit”.

in reply to Sarah Brown

I say this as someone who made a lot of money as a C programmer back in the 90s: C was of its time, and that time was 50 years ago. In the third decade of the twenty first century, C does not need defending any more; it needs a stake through its heart.

reshared this

in reply to newsorpigal

@newsorpigal
Because there is governance and one of its use cases is a better search, for instance try a prompt for scientific papers on a reasonably specific question with references.

In that use case it appears to be useful and the papers seem genuine (it's best not to try and get it to make value judgements or make the purpose too opinionated).

in reply to Sarah Brown

I just had a similar experience when asking about a class of locomotive (I am a bit of a train enthusiast).

On a general question, the answer was accurate except for one detail. On a more specific question, all the information it gave me *sounded* plausible but was completely incorrect.

What was 'interesting' was that upon being told the information was incorrect, it apologised for the error, and came back with a different, yet still incorrect answer.

in reply to Sarah Brown

THIS is going to be the real fallout of #chatGPT and others: not students having their essays written by it, but the factually wrong and well-sounding garbage noise making it harder to find facts and actual sources.

Necessary consequence: learning to do better research and to better evaluate sources. Because this isn't new, regurgitating "I found this on Google" was never good research, but needs to be replaced by searching for the actual sources.

in reply to Sarah Brown

now I'm curious what you were searching for ... ISTM that Search has become a victim of its own success, and looking for highly technical info (i.e., searches with jargon and acronyms unique to a technical domain) yields rapidly diminishing returns because there's just _so much stuff_ out there and it's easier than ever to flood the zone ... so I got in the habit of tacking "reddit" on a lot of these searches lately and I'm happier for it
This entry was edited (Wednesday, February 22, 2023, 11:16 AM)
in reply to Sarah Brown

@esther it's very dated but this covers a lot of ground to help you get started to ask the right questions. Shame you need to know half the answer before you can do that. redbooks.ibm.com/abstracts/gg2…
in reply to Sarah Brown

I wonder if the model behind ChatGPT could be adapted to make this feature more explicit. Let's say for a given query it can produce some amount of suggested topics and/or terms that might be relevant for you. Basically strip the "generate bullshit" step and directly expose the "this information is adjacent to what you asked" knowledge encoded in it.
in reply to Sarah Brown

I think that maybe Google delivered too well to start with. It never promised to give the best answer (truest?) simply the most relevant for the question (most popular?)

Maybe we are seeing things hitting their 'eternal September' much more quickly?

After all, "Usenet is like a herd of performing elephants with diarrhea. Massive, difficult to redirect, awe-inspiring, entertaining, and a source of mind-boggling amounts of excrement when you least expect it."

— Gene Spafford, 1992