eg: https://github.com/FuriLabs/rootfs-templates/graphs/contribu...
586 karma · joined March 9, 2022
eg: https://github.com/FuriLabs/rootfs-templates/graphs/contribu...
What an impossibly weird thing to "need" an LLM for.
Any Canadian residents here know of any tax credit eligible software projects to donate to?
Ask it about something you don't know: you'll learn something new.
Ask it about something you do know: you'll raise your eyebrow, "huh that's not quite right..."
I addressed that: bad policies and decisions don't go away just because of LLMs. They will always exist, it's just that now they'll exist at the same time as people gaslighting themselves into believing that LLMs are helping to eliminate them.
> Now you'll likely come back and say "but X policy was bad and it was because it was poorly researched". Absolutely! Yes, bad policies exist. Poorly researched policies exist. Poorly implemented policies exist.
> Good policies researched well also exist. And the bad ones aren't going away because of the magical word generator.
You will notice that the US is gearing up for additional warfare with the help of AI.
It's completely bonkers that people keep saying stuff like this, virtually implying that we didn't have a functional society before LLMs.
LLMs are tools that generate word salads that sound compelling. They are not research aids and they can't help you understand things better than the plethora of tools we already developed over the centuries can.
So no, the alternative is policy makers doing what policy makers have always done: research, polling, reading, talking, and more research.
Now you'll likely come back and say "but X policy was bad and it was because it was poorly researched". Absolutely! Yes, bad policies exist. Poorly researched policies exist. Poorly implemented policies exist.
Good policies researched well also exist. And the bad ones aren't going away because of the magical word generator.
Seriously. Stop using LLMs to "help" you do stuff you already know how to do.
A good recent example are the lyrics of the songs on an album by a band called Saor. The album is called Amidst the Ruins.
They're not tools.
A hammer helps you build a house. An LLM helps you read StackOverflow in the most inefficient means possible.
You are absolutely correct that modern Nazis are not really bothered by the Jews, but you have to remember that fascists just look for easy targets to hate.
Essentially, yeah, fine, he's not a card carrying member of the NSDAP. But he's a hateful individual pursuing a hateful agenda all the same, and he did the salute to signal to edgelords that he sees them.
Your comment is absolutely correct; Musk and his ilk are just people who "joked around" on 4chan and essentially radicalised themselves doing it.
HOWEVER left wing edgelords absolutely exist. Look up (at your peril) the phenomenon of "tankies". They're not your average communist, but rather apologists for Stalin's genocides.
Maybe your comment is more about the terminology at play, but it's interesting to see that the left wing mirror image of the average 4chan poster absolutely exists.
Do take care.
It's given you some information and now you have to seek out a source to verify that it's correct.
Finding information is hard work. It's why librarian is a valuable skilled profession. What you've done by suggesting that I should "verify" or "proofread" what a glorified, water-wasting Markov chain has given me now entails me looking up that information to verify that it's correct. That's...not quite doubling the work involved but it's adding an unnecessary step.
I could have searched for the source in the first instance. I could have gone to the library and asked for help.
We spent time coming up with a question ("prompt engineering"! hah!), we used up a bunch of electricity for an answer to be generated and now you...want me to search up that answer to find the source? Why did we do the first step?
People got undergraduate degrees - hell, even PhDs - before generative AI.
Look up the tweet from someone who said "Sometimes when coming up with a good prompt for ChatGPT, I sometimes come up with the answer myself without needing to submit".
If AI is teaching you, you are going to collect a thousand papercuts of lies.
It's a little frustrating because "Convergence" options are exposed in the UI.
In the early days of ChatGPT where it seemed like this fun new thing, I used it to "learn" C. I don't remember anything it told me, and none of the answers it gave me were anything that I couldn't find elsewhere in different forms - heck I could have flipped open Kernighan & Ritchie to the right page and got the answer.
I had a conversation with an AI/Bitcoin enthusiast recently. Maybe that already tells you everything you need to know about this person, but to the hammer the point home, they made a claim to similar to you: "I learn much more and much better with AI". They also said they "fact check" things it "tells" them. Some moments later they told me "Bitcoin has its roots in Occupy Wall Street".
A simple web search tells you that Bitcoin is conceived a full 2 years before Occupy. How can they be related?
It's a simple error that can be fact checked simply. It's a pretty innocuous falsity in this particular case - but how many more falsehoods have they collected? How do those falsehoods influence them on a day-by-day basis?
How many falsehoods influence you?
A very well meaning activist posted a "comprehensive" list of all the programs that were to be halted by the grants and loans freezes last week. Some of the entries on the list weren't real, or not related to the freeze. They revealed they used ChatGPT to help compile the list and then went down one-by-one to verify each one.
With such meticulous attention to detail, incorrect information still filtered through.
Are you sure you are learning?
We'd never hire someone who just makes stuff up (or at least keep them employed for long). Why are we okay with calling "AI" tools like this anything other than curious research projects?
Can't we just send LLMs back to the drawing board until they have some semblance of reliability?