There's a great song about him by the guy that had an album with Ani defranco.

This is an issue with many humans I've hired, though. Maybe they try to cut corners and do a shitty job, but I occasionally check, if they are bad at their job, I warn them, correct them, maybe eventually fire them. For lots of stuff, AI can be interacted with in a very similar way.

This is so similar to many people's complaints with self driving cars. Sure, accidents will still be had, they are not perfect, but neither are human drivers. If we hold AI to some standard that is way beyond people then yes, it's not there, but if we say it just needs to be better than people, then it is there for many applications, but more importantly, it is rapidly improving. Even if it was only as good as people at something, it is still way cheaper and faster. For some things, it's worth it if it isn't even as good as people yet.

I have very little issues with hallucinations anymore, when I use an LLM to get anything involving facts, I always tell it to give sources for everything, and i can have another agent independently verify the sources before i see them. Often times I provide the books or papers that I want it to specifically source from. Even if I am going to check all the sources myself after that, it is still way more efficient then if I did the whole thing myself. The thing is, with the setups I use, I literally never have it make up sources anymore. I remember that kind of thing happening back in the days when AI didn't have internet access, and there really weren't agents yet. I realize some people are still back there, but in the future(that many of us are in) its basically solved. There is still logic mistakes and such, that stuff can't be 100% depended on, but if you have a team of agents going back and forth to find an answer, then you pass it to another team of agents to independently verify the answer, and have it cycle back if a flaw is found, many issues just go away. Maybe some mistakes make it through this whole process, but the same thing happens sometimes with people.

I don't have the link on hand, but there have been studies done that show gpt3.5 working in agentic cycles perform as good or better than gpt4 out of the box. The article I saw that in was saying that basically there are already people using what gpt5 will most likely be just by using teams of agents with the latest models.

I think having it give direct quotes and specific sources would help your experience quite a bit. I absolutely agree that if just use the simplest forms of current LLMs and the "hello world" agent setups that there are hallucination issues and such, but lots of this is no longer an issue when you get deeper into it. It's just a matter of time until the stuff that most people can easily use will have this stuff baked in, it isn't anything that is impossible. I mean, I pretty much always have my agents tell me exactly where they get all their information from. The exception is when I have them writing code because there the proof is in the results.

Yeah, it's trajectory thing. Most people see the one-shot responses of something like the chatgpt's current web interface on openai's website and they think that's where we are at. It isn't though, the cutting edge of just what is currently openly available to people is things like CrewAI or Autogen using agents powered by things like Claude Opus or Llama 3, and maybe the latest gpt4 update.

When you use agents you don't have to baby every response, the agents can run code, test code, check latest information on the internet, and more. This way you can give a complex instruction, let it run and come back to a finished product.

I say it is a trajectory thing because when you compare what was cutting-edge just 1 year ago, basically one-shot gpt3.5 to an agent network with today's latest models, the difference is stark, and when you go a couple years before that to gpt2, it is way beyond stark. When you go a step further and realise that there is lots of custom hardware being built(basically llm ASICs-traditionally a ~10,000x speedup over general use gpus), you can see that soon having instant agent based responses will be the norm.

All this compounds when you consider that we have not hit a plateau and that we are still seeing that better datasets, and more compute, are still producing better models. Not to mention that other architectures, like state-based Mamba, are making remarkable achievements with very little compute so far. We have no idea how powerful thinks like Mamba would be if they were given the datasets and training that the current popular models are being given.

Anybody who gets so triggered and defensive when someone points out how disgusting factory farms are doesn't have a diet that they are proud of. Whether your cognitive dissonance allows you to acknowledge that or not is a different story.

It is amazing to watch someone's mind melt like this just because the truth of their food source is pointed out to them. This is a full-blown insane comment.

Yeah, it would be great to catch that one psycho, but it would be way better to catch the psychos that do this all day every day. I think that's the point they were trying to make.

Wow! These are awesome. Where can I buy the seeds?

Yeah, to be clear, I'm not arguing that current LLMs are as creative and intelligent as people.

I am saying that even before babies get human language input, they still get input from people to be made, the baby's algorithm to make that spark is modled on previous humans by the human data that is DNA. These future intelligent AIs will also be made by data that humans make. Even our current LLMs are not purely human language input, they also have an algorithm that is doing stuff with that data in order to show to us its, albeit relatively weak, "intelligent spark" that it had before it got all that human language input.

Chatbots are not new. They started around 1965. Objectively, gpt4 is more creative than the chatbots of 1965. The two are not equally able to create. This is an ongoing change, in the future AI will be more creative than today's most creative AIs. AI will most likely continue on its trajectory and some day, if we dont all get destroyed, it will eventually be more intelligent and creative than humans.

I would love to hear an rebuttal to this that doesn't just base its argument on the fact that AI needs human language input. A baby and its spark is not impressively intelligent. What makes that baby intelligent is its initial algorithm plus the fact that it gets human language data. Requiring that AI must do what the baby does without the human language data that babies get makes no sense to me as a requirement.

Yeah the current popular LLMs, absolutely they are, you couldn't be more right.

We were talking about "AI" though. Are you implying that you think some day AI might be capable of creativity, and that creativity isn't strictly a human trait?

Nice!

From monyet.cc most of the comments in this thread are missing.