- cross-posted to:
- technology@lemmy.zip
- aicompanions@lemmy.world
- cross-posted to:
- technology@lemmy.zip
- aicompanions@lemmy.world
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I’m still so lost on what the use case for chatGPT is unless its like, learning a language (considering it’s a language model as i understand it).
It does not reliably source accurate information.
It does not create nuanced artistic writing.
It does not produce reliable code.
I’m certain 90% of its value is in everyone wanting very badly for it to be something that its not, but it just isn’t.
It’s like if someone invented a claw hammer and people bought into it because “Oh wow, this could be used as a door stop! This could be used to cook my stir fry! This could be used to play a piano!” and yes, you could use it for those things, but really the thing was built for hammering nails and thats about all its actually good at.
This is why I think there is hype, but little usage, because no one wants to use it for what it might actually be good at, and they don’t even market it as such because its more profitable to pretend its an “everything” tool.
It’s like going to a coffee shop, but for some reason there’s pizza on the menu, and of course when you order it, the pizza is dog shit.
I use it almost daily.
It does produce good code. It does not reliably produce good code. I am a programmer, it makes my job 10x faster and I just have to fix a few bugs in the code it usually generates. Over time, I learned what it is good at (UI code, converting things, boilerplate) and what it struggles with (anything involving newer tech, algorithmic understanding, etc.)
I often refer to it as my intern: It acts like an academically trained, not particularly competent, but very motivated, fast typing intern.
But then I am also working on the field. Prompting it correctly is too often dismissed as a skill (I used to dismiss it too). It needs more understanding than people give it credit for.
I think that like many IT tech it will go from being a dev tool to everyday tool gradually.
All the pieces of the puzzle to be able to control a computer by voice using only natural language are there. You don’t realize how big it is. Companies haven’t assembled it yet because it is actually harder to monetize on it than code it. I think probably Apple is in the best position for it. Microsoft is going to attempt and will fail like usual and Google will probably put a half-assed attempt at it. I’ll personally go for the open source version of it.
Hey I heard that intern metaphor before somewhere… No Boilerplate?
EDIT: Dumb me, I replied before reading the enitre message. What you say is exactly how I feel, there are some real big possibilities here. Currently the closest thing to that using a computer with only your voice would be something like ollama combined with open web ui and their calling feature and some tool functions.
Install text-generation-webui, check their “whisper stt” option, and you can talk with a computer. As a non native I prefer to read the english output than listen to it but they do provide TTS as well.
Yes, thank you, this.
All the criticism for artificial intelligence and deployments of it like ChatGPT right now I see as people not being able to hold something in their hand. This is far more of an abstraction than a new phone and when people can’t grock that immediately or they play with it for 5 minutes and dismiss it because it gave them a form-fill looking answer when they gave it some para-literate 5 word question, then they’re obviously going to be unimpressed and walk away.
If you spend any amount of time actually trying to figure out what to say to it in order to get it to produce actual information it’s one of the most compelling new ways to interface with a computer since the MOAD and I would imagine ultimately will be the most compelling in the end.
Like put it this way, I don’t know if this will actually end up producing AGI but, like… This thing is a 3 year old.
And it’s a 3 year old that can write basic coding implementations and give you at least, maybe in some cases much better than, high school level comprehension s of most of the English (and quickly building to other languages) written world.
This is the dumbest it will ever be…
Now you made me interested in learning how to prompt these things. From what I have tried, I saw that appending some more descriptional sentences after the actual prompt usually makes loads of sense. But once you add too many sentences, the model tends to write way longer replies too. This is obviously something which happens in real life too, so maybe that is just the natural way…
This is the best summary I could come up with:
Very few people are regularly using “much hyped” artificial intelligence (AI) products like ChatGPT, a survey suggests.Researchers surveyed 12,000 people in six countries, including the UK, with only 2% of British respondents saying they use such tools on a daily basis.But the study, from the Reuters Institute and Oxford University, says young people are bucking the trend, with 18 to 24-year-olds the most eager adopters of the tech.Dr Richard Fletcher, the report’s lead author, told the BBC there was a “mismatch” between the “hype” around AI and the “public interest” in it.The study examined views on generative AI tools - the new generation of products that can respond to simple text prompts with human-sounding answers as well as images, audio and video.Generative AI burst into the public consciousness when ChatGPT was launched in November 2022.The attention OpenAI’s chatbot attracted set off an almighty arms race among tech firms, who ever since have been pouring billions of dollars into developing their own generative AI features.What is AI?However this research indicates that, for all the money and attention lavished on generative AI, it is yet to become part of people’s routine internet use.
“Large parts of the public are not particularly interested in generative AI, and 30% of people in the UK say they have not heard of any of the most prominent products, including ChatGPT,” Dr Fletcher said.
The new generation of AI products has also sparked an intense public debate about whether they will have a positive or negative impact.Predicted outcomes have ranged, for the optimists, from a boost to economic growth to the discovery of new live-saving drugs.The pessimists, meanwhile, have gone so far as to suggest the tech is a threat to humanity itself.This research attempted to gauge what the public thinks, finding:The majority expect generative AI to have a large impact on society in the next five years, particularly for news, media and scienceMost said they think generative AI will make their own lives betterWhen asked whether generative AI will make society as a whole better or worse, people were generally more pessimistic"People’s hopes and fears for generative AI vary a lot depending on the sector," Dr Fletcher told the BBC.
"People are generally optimistic and about the use of generative AI in science and healthcare, but more wary about it being used in news and journalism, and worried about the effect it might have on job security.
"He said the research showed it was important for everyone, including governments and regulators, to apply nuance to the debate around AI.The findings were based on responses to an online questionnaire fielded in six countries: Argentina, Denmark, France, Japan, the UK, and the USA.
The original article contains 442 words, the summary contains 445 words. Saved -1%. I’m a bot and I’m open source!
The original article contains 442 words, the summary contains 445 words. Saved -1%.
I don’t think you did a very good job there…
