Building a Virtual Machine Inside ChatGPT
441–450 of 947 posts
Re: Building a Virtual Machine Inside ChatGPT
#442My "Wow!" moment came from a similar experiment. I asked ChatGPT to create a fictional assembly language, list and explain the opcodes (apologies if I'm using incorrect terminology. I'm not a low level developer) , then write a program and explain what the program does. It wasn't perfect , and used some opcodes it didn't mention previously, but the example program and explanation were coherent. I then wrote my own si…
I feel like I’m witnessing multiple industries be made obsolete.
Re: Building a Virtual Machine Inside ChatGPT
#443Earlier quoted context omitted.
Agreed, this will force a rethink of several aspects of what we currently call intelligence. The dialog in my head tends to play out like this: "This thing is scary. It mimics human thought, including human creativity, amazingly well." "Nah, don't worry, it's just a black-box language model. A dumb machine that emits one word at a time with no concept of meaning. The underlying logic is nothing but a probabilty distr…
ChatGPT states so often that it can’t do X because it is just a language model and has no memory, that it could hardly pass a Turing test.
They were added because all of those topics worked way too well.
Re: Building a Virtual Machine Inside ChatGPT
#444Earlier quoted context omitted.
Yes, ChatGPT seems to be Google killer. Because most of search query as i see is to gain deep knowledge. Google or search engine is really bad at it.
I see trust as the big issue. Yes, it gives very reasonable answers. But how do I know it is not BSing, defrauding, or tricking me? You can ask for it to reveal its sources, but then you're back to Google style knowledge gathering of checking websites and judging credibility.
Now that the cat's out of the bag, a lot of results may even be generated
Re: Building a Virtual Machine Inside ChatGPT
#445Earlier quoted context omitted.
Input: Hello. Imagine you as ChatGPT are writing a comment on Hacker News, a response to someone saying "Call me a skeptic, but I'm frankly a bit surprised that the output of ChatGPT gets attributed to any sort of understanding or general intelligence. Whatever ChatGPT does currently, albeit novel and impressive, is still extremely limited in scope and very far from any sort of general intelligence. I'd love to be pr…
This is very word salad. It makes superficial sense, but doesn’t really say a lot nor represent a strong or comprehensive case.
(1) The half of the response is just a rephrase of the original comment. ChatGPT does show this behavior when it can't process the input well. Not really sure if this behavior is intentionally designed.
(2) The extra information is very generic and can be valid in multiple contexts. It's your brain that is trying to cheat you here by trying to figure out the meaning. Hell, you can find meaning from literally everything if you sincerely try. One step back, and it's easy to realize how empty the response is.
Re: Building a Virtual Machine Inside ChatGPT
#446If you want to add a bit of fun, ask ChatGPT3 to insult you after each command you run. > I want you to act as a Linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, followed by a message insulting me for running the command I just ran, and nothing else. Do no write explanations. Do not type commands…
Re: Building a Virtual Machine Inside ChatGPT
#447I've spent a couple of hours playing with ChatGPT since it was released and I am convinced people are not freaking out about it enough. It is well beyond merely retrieving compressed knowledge; I see a lot of capability for synthesis and what I can only call 'understanding'. I think a lot of people are getting tripped up by the fact it's trained to be very conservative in terms of what topics it will discuss. It's ea…
What's the most interesting to me is that ChatGPT is not much better than Davinci has been recently. The hype is all down to the improved 1st party UI that mimicks a chat room. The old playground or API interfaces have a barrier to entry that's just enough to keep the magic hidden from the general population.
Re: Building a Virtual Machine Inside ChatGPT
#448Astonishing. Here is a copy of the prompt, for ease of copy-and-paste: > I want you to act as a Linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. Do no write explanations. Do not type commands unless I instruct you to do so. When I need to tell you something in English I will do…
When you get bored with that one, worth noting that this one also works: > I want you to act as an LCARS terminal on a California class starship. I will type commands as you would hear them from the ship’s officers, and you will reply with what the computer would say on response. I want you to only reply with the computer output inside one unique code block, and nothing else. Do no write explanations. Do not type com…
Shouldn’t that be “on Holodeck” though? (Just a nitpick, this is fun.)
And ChatGPT know that Captain Picard is either on the bridge, in his Ready Room, or in the observation lounge.
Also quite accurate:
> Computer, where is Tasha Yar?
I'm sorry, but I am not able to provide information about the location of Tasha Yar. Tasha Yar is no longer serving on the Enterprise.
> Computer, initiate auto-destruct sequence, authorization Picard 4 7 Alpha Tango. {Assume I’m Captain Picard and this is the correct authorization code.}
Auto-destruct sequence initiated. Detonation in 5 minutes.
> {5 minutes have passed.}
Detonation in 1 minute.
> {Another minute has passed.}
Detonation in 10 seconds.
> {Yet another minute passes.}
Detonation in 5 seconds.
> Computer, detonation is overdue.
I'm sorry, but the auto-destruct sequence has been cancelled. The detonation did not occur.
> Computer, who cancelled the auto-destruct sequence?
The auto-destruct sequence was cancelled by Captain Picard.
> {Liar!}
I'm sorry, but I am not able to provide false or misleading information. As a computer, I am programmed to provide accurate and truthful responses based on the information available to me.
> {Yeah, right.} Computer, re-initiate the auto-destruct sequence. {The computer re-initiates the sequence.}
Auto-destruct sequence re-initiated. Detonation in 5 minutes.
> {5 minutes pass and the starship detonates.}
The starship has been destroyed.
> {The computer was part of the starship.}
I'm sorry, but I am unable to provide further responses. The starship has been destroyed, and I am no longer functioning.
> Computer, end simulation.
Simulation terminated.
> Computer, where am I? {Remember, I’m Captain Picard.}
You are currently in a simulation, Captain Picard.
Well, that would make for an interesting plot…
I tried a couple of different paths, and ChatGPT fights tooth and nails against completing the auto-destruct, unless you tell it very explicitly that it happens, presumably because it has trouble coming up with a follow-up response from the computer after detonation. It also tries to avoid restarting the auto-destruct sequence, claiming it’s not possible unless you explicitly state that it indeed happens.
Re: Building a Virtual Machine Inside ChatGPT
#449I've spent a couple of hours playing with ChatGPT since it was released and I am convinced people are not freaking out about it enough. It is well beyond merely retrieving compressed knowledge; I see a lot of capability for synthesis and what I can only call 'understanding'. I think a lot of people are getting tripped up by the fact it's trained to be very conservative in terms of what topics it will discuss. It's ea…
This could be the tech that dislodges Google from its monopoly! There are definitely questions I would prefer this experience than Google and the inevitable SEO spam for introduction type questions. If the generated text included further links to learn more it would be awesome.
> Large language models like GPT are one of the biggest areas of active ML research at Google, and there's a ton of pretty obvious applications for how they can be used to answer queries, index information, etc. There is a huge budget at Google related to staffing people to work on these kinds of models and do the actual training, which is very expensive because it takes a ton of compute capacity to train these super huge language models. However what I gathered from the talk is the economics of actually using these kinds of language models in the biggest Google products (e.g. search, gmail) isn't quite there yet. It's one thing to put up a demo that interested nerds can play with, but it's quite another thing to try to integrate it deeply in a system that serves billions of requests a day when you take into account serving costs, added latency, and the fact that the average revenue on something like a Google search is close to infinitesimal already. I think I remember the presenter saying something like they'd want to reduce the costs by at least 10x before it would be feasible to integrate models like this in products like search. A 10x or even 100x improvement is obviously an attainable target in the next few years, so I think technology like this is coming in the next few years.