In my humble opinion, it absolutely is theft that humanity has decided is okay to steal everyone's historical work in the spirit of reaching some next level, and the sad part is most if not ALL of them ARE trying their damnedest to replace their most expensive human counterparts while saying the opposite on public forums and then dunking on their counterparts doing the same thing. However, I don't think it will matter or be a thing companies will be racing each other to win here in about 5 years, when it's discovered and widely understood that AI will produce GENERIC results for everything, which I think will bring UP everyone's desire to have REAL human-made things, spawned from HUMAN creativity. I can imagine a world soon where there is a desired for human-spawned creatively and fully made human things, because THAT'S what will be rare then, and that's what will solve that GENERIC feeling that we all get when we are reading, looking at, or listening to something our subconcious is telling us isn't human.
Now, I could honestly also argue and be concerned that human creativity didn't matter about 10 years ago, because now it seems that humanity's MOST VALUABLE asset is the almighty AD. People now mostly make content JUST TO GET TO the ads, so it's already lost its soul, leaving me EVEN NOW, trying to find some TRULY REAL SOUL-MADE music/art/code/etc, which I find extraordinarily hard in today's world.
I also find it kind of funny about all of AI, and ironic that we are going to burn up our planet using the most supposedly advanced piece of technology we have created from all of this to produce MORE ADS, which you watch and see, will be the MAIN thing this is used for after it has replaced everyone it can.
If we are going to burn up the planet for power, we should at least require the use of it's results into things that help what humanity we have left, rather than figuring out how to grow forever.
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I agree with this. Because it does seem that if it's based on NOT 100% accurate information in terms of training, it can never return 100% accurate results. Which I guess, as humans, we don't either, but as a committee, one MAY argue we could. I'm torn lol.
I've been thinking about how far we've come with large language models (LLMs) and the challenge of making them almost perfect. It feels a lot like trying to get a spaceship to travel at the speed of light.
We’ve made impressive progress, getting these models to be quite accurate. But pushing from 90% to 99.9999999% accuracy? That takes an insane amount of data and computing power. It's like needing exponentially more energy as you get closer to light speed.
And just like we can’t actually reach the speed of light, there might be a practical limit to how accurate LLMs can get. Language is incredibly complex and full of ambiguities. The closer we aim for perfection, the harder it becomes. Each tiny improvement requires significantly more resources, and the gains become marginal.
To get LLMs to near-perfect accuracy, we'd need an infinite amount of data and computing power, which isn't feasible. So while LLMs are amazing and have come a long way, getting them to be nearly perfect is probably impossible—like reaching the speed of light.
Regardless I hope to appreciate the progress we've made but also be realistic about the challenges ahead. What do you think? Is this a fair analogy?
GPT4ALL-Python3-Inference is a Python CLI tool for querying various GPT local LLM models, offering detailed logging, customizable arguments, and SQLite-stored responses.
CTEE is a transparent Bash Session recorder/transcriber for Linux and MacOS systems. It allows users to record and replay CLI sessions, take notes in-terminal, and produces a pdf of stdin and stdout after an ended session. The overall project is useful for learning, teaching, troubleshooting, documenting, and sharing BASH CLI activities.
Record and replay Bash CLI sessions transparently and easily on Linux and MacOS systems. CTEE records stdin, stdout, and timestamps; cleaning and placing each within a single sqlite3 database per CTEE session to be used for sharing and/or later recall. Additionally, CTEE produces a final HTML report of the Bash session activity in a very readable way, so that activity can be validated as the user saw it, at the time of execution.
CTEE is a suite of tools designed to enhance the command-line interface on Linux and MacOS systems. It allows users to record and replay CLI sessions, take notes, manipulate timing, and perform other related tasks. The overall project is useful for learning, teaching, troubleshooting, documenting, and sharing BASH CLI activities.