Didn’t you got the memo? This week we are hating on crabs.

That’s why you meed to know the cavieats of the tool you are using.

LLM hallucinate. People willing to use them need to know, where is more prone to hallucinate. Which is where the data about the topic you are requesting is more fuzzy. If you ask for the capital of France is highly unlikely you will get an hallucination, if you as for the color of the hair of the second spouse of the fourth president of the third French republic, you probably will get an hallucination.

And you need to know what are you using it for. If it’s for roleplay, or any not critical matters you may not care about hallucinations. If you use them for important things you need to know that the output needs to be human reviewed before using it. For some things it may be worth the human review as it would be faster that writing from zero, for other instances it may not be worth it and then a LLM should not be used for that task.

As an example I just was writing some lsp library for an API and I tried the LLM to generate it from the source documentation. I had my doubts as the source documentation is quite bigger that my context size, I tried anyway but I quickly saw that hallucinations were all over the place and hard to fix, so I desisted and I’ve been doing it myself entirely. But before that I did ask the LLM how to even start writing such a thing as it is the first time I’ve done this, and the answer was quite on point, probably saving me several hours searching online trying to find out how to do it.

It’s all about knowing the tool you are using, same as anything in this world.

In Spain the fascist stayed in Spain, participation on ww2 was very small and Franco betrayed Hitler as soon as he saw he was going to lose, so there was no reason for the USA to invade Spain and we got 40 years of fascist dictatorship.

Oh it is.

There’s a lot of cyclist groups I know that oppose separate bike lanes for a plethora of strange reasons.

They are some of the most pro-cycling people I know. But they are blinded by what I call the “pro”-blindness, thinking that because they can effortlessly ride in traffic everyone should do it as well.

I would answer but I feel like this post is more about you trying to convince others to retire their economical support that any other thing. Or at least it feels like that.

Decision is yours, same as our decisions are ours.

Do you have examples of them being transphobic?

I’ve heard other accusations but it’s the first time I beard this one, I’m curious.

I will just copy my other response about datacenters energy usage, ignore the parts not related to our conversation:

Google is not related with chatgpt. Chatgpt parent company is openAI which is a competitor with google.

A more rational explanation is that technology and digital services on general have been growing and are on the rise. Both because more and more complex services are being offered, and more importantly more people are requesting those services. Whole continents that used not to be cover by digital services are now covered. Generative AI is just a very small part of all that.

The best approach to reduce CO2 emissions is to ask for a reduction in human population. From my point of view is the only rational approach, as with a growing population there’s only two solutions, pollute until we die, or reduce quality of life until life is not worth living. Reducing population allows for fewer people to live better loves without destroying the planet.

It also arises the question on why am I responsible if a big tech company decided to make an llm query of every search or overuse the technology, when I am talking about a completely different usage of that technology, that doesn’t even reach a 20-30 queries a day which would have a power usage of less than a few hundreds wh at most, which os negligible in the scheme of global warming and my total energetic footprint.

How it’s being a fanboy saying that “It works for me in some particular cases and not others, it’s a tool that can be used”.

Please, read again this conversation and do a second guess on who is a radical extremist here.

In the case we were talking, writing code, I am the auditor of the answers. I do not ““vibe code”” I read the code that’s proposed, understand it, and if it’s code that I would have written I copy it, if not I change it. “Vibe coding” is an example of bad usage of the tool that would lead to problems. All code not written by yourself and copied from other source should be reviewed. Once it pass my review is as good as my own code. If it fail it would fail the same as any other code witten by me, as it’s something that I was clearly unable to see.

For instance a couple of months ago I wrote a small API service that worked fine at first and suddenly stopped working a few weeks in production. It was a stupid mistake I made, and I needed no LLM to do that mistake. The service was so simple that I didn’t really even used LLM there. But I made a mistake regardless. I could have use AI and get the same bad function that caused the issue. And the blame would still be mine for not seeing the problem.

Once again is a tool. If some jackass decide to vibe code an app and it’s a shit app, is a bad use of the tool. But some other people can de proper reviews and analysis of the generated code and assume full responsibility of any failures of that code.

Google is not related with chatgpt. Chatgpt parent company is openAI which is a competitor with google.

A more rational explanation is that technology and digital services on general have been growing and are on the rise. Both because more and more complex services are being offered, and more importantly more people are requesting those services. Whole continents that used not to be cover by digital services are now covered. Generative AI is just a very small part of all that.

The best approach to reduce CO2 emissions is to ask for a reduction in human population. From my point of view is the only rational approach, as with a growing population there’s only two solutions, pollute until we die, or reduce quality of life until life is not worth living. Reducing population allows for fewer people to live better loves without destroying the planet.

You can oppose both polygamist or incestuous marriage if it’s in a context of religious and sexist oppression, which tend to be the case in most instances of those two types of marriages.

I wouldn’t have complains about polyamory incestuous marriage of free people. But sadly most of practical cases are not like that.

Not really.

I self host my own LLM. Energy consumption for queries is lower than gaming according to my own measures. And the models are not made so frequently (I use models made last year still). And once the model is done is infinitely reusable by anyone.

I get that you are starting by the axiom “AI is bad” and then create the arguments needed to support that axiom. Instead of going the other way around with an open mind.

I told you my own personal experience with it. Take it as you want. For me, my situation will be the same. I would keep using same as I use any other tool that works for me, and will stop using it when there’s something better same as I’ve done countless times. I’m not easy to peer pressure into any particular stance, so I can form my own opinions based on what I test for myself. I really think a lot of arguments against AI boil down to some sort of political stance. AI hurt a series of small artists which had a very big voice in some spaces, and thus an anti-AI political movement was created. My own copyleft morals made me undisturbed by this original complains about generative AI, and the rest of arguments have been very unconvincing, straight up fake, logical fallacies, or just didn’t really check out with the reality I was able to test by myself.

For instance I saw other post today saying how 3 watts hour per query was an absolute energy waste for a household. When that’s absolutely nothing compared to the 30.000 watts hour a typical household spend each day, even with quite and amount of queries. Sincerely I spent last few months with one of these devices to measure energy consumption attached to my computer and AI energy usage was really underwhelming compared with what people told me it was going to be. AAA gaming is consistently more energy hungry.

The thing is… Who are you convincing in the fediverse?

I don’t think I have ever seen a nazi here, probably not even a right winger.

LLM also does not bully you for asking. Nor it says “duplicated question” for non duplicated questions… There’s a reason people prefer LLM to SO nowadays.

It’s not panacea. But it’s not the doom world destroying useless machine that some people like to tell it is.

It’s a useful tool for some task if you know how to use it. Everyone who actively use it is because we have find put that it works for us better than other tools for that task, of not we would not use it.

Giving my own personal experience, I tend to ask first to an LLM rather that what I used to do digging in old SO answers because I get the answer quicker and a lot of the times just better. It’s not perfect by any stretch of the imagination, but it serves me a purpose.

For instance last week I needed a PowerShell command to open an app compatibility menu from the command line. I asked and got this as a response:

(New-Object -ComObject Shell.Application).Namespace((Split-Path “C:\Ruta\A\TuPrograma.exe”)).ParseName((Split-Path “C:\Ruta\A\TuPrograma.exe” -Leaf)).InvokeVerb(“P&roperties”)

Worked at first try, exactly as I wanted.

You are free to try a search engine with the query “PowerShell command to open an app compatibility menu from the command line” and check for yourself how little help the firsts results get you.

It’s a tool, as many others. The magic lies in knowing when and how to use it. For other things I may not use it, but after a couple of years using it I’m developing a good sense of which questions does it handle well and which questions is better not even to try.

I scored 7 out of 10! Can you tell a coder from a cannibal? 💻🔪 https://vole.wtf/coder-serial-killer-quiz/

Not bad.

Average daily energy consumption for a family in the US is said to be around 30.000 wh per day.

That would be about 10.000 chatgpt queries per day to equal that.

My 2€ calculator obliterates a 200.000€ ferrari doing multiplications.

What’s the difference between copying a function from stack overflow and copying a function from a llm that has copied it from SO?

LLM are sort of a search engine with advanced language substitution features nothing more nothing less.

Chinese is not a global language. And it’s not likely to be in the future. It’s not the raw number of speakers what makes a global language but the number of non-native speakers.

That being said.

In my country, Spain, it is not taught at any level as mandatory, and not even as an option. Of you want to study chinese you have to go to do as an extracurricular thing.

I read that the progress pride flag is copyrighted and some people (or a single person) may be profiting from it.

Several sources seemed coherent with this. That’s why I try to keep away from it. And also it seems be mostly used in USA anyway, I haven’t seen it much around Europe.

I wish just by having my jellyfin server up media companies would actually get hurt, like fiscally hurt.

If you need to use a new language that you are not yet used to, it can get you through the basics quite efficiently.

I find it quite proficient at translating complex mathematical functions into code. Specially since it accept the latex pretty print as input and usually read it correctly.

As an advanced rubber duck that spits wrong answers so your brain can achieve the right answer quickly. A lot of the times I find myself blocked on something, ask the AI to solve and it gives me a ridiculous response that would never work, but seeing how that won’t work it makes easier for me how to make something that will work.