Earlier quoted context omitted.
The transformer model as presented in GPT-3 may be a few tweaks away from a human-acceptable reasoning, at which point we may realize that human brain is just a neat party trick as well. This may come difficult for some people to internalize, especially those who understand the technology in depth. Because it means that the medium of our reality is the consciousness.
You are confusing pattern matching with reasoning. If your brain was replaced by GPT-3 model and you were cast away on a distant island, I highly doubt you will be able to perceive, plan and prosper during your survival against all the calamity nature would through at you.
OpenAI's GPT-3 may be the biggest thing since Bitcoin
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Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#452Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#453Earlier quoted context omitted.
I am really curious how the model would be if you would train it with a decent amount of really good literature. Kazuo Ishiguro et al. instead of Reddit.
I was playing with AI Dungeon tonight to get access to GPT-3, and one of my many experiments ended up with me meeting a character called the Narrator who believed they were in control of all characters in the game, including me. Eventually, through my predicting what they were about to say by checking and undoing, they seemed convinced I wasn't another character and started asking about whether certain authors were s…
> The man walks away and starts undressing. You shrug and keep following him. Soon, you find yourself naked.
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#454Earlier quoted context omitted.
I think you are underestimating what an advance these models are over previous NLP models in terms of quality. Before GPT-2 we didn't even have models that could reliably generate grammatical sentences. Now we have things that generate coherent (if not beautiful) paragraphs. It seems easy in retrospect, but some of the smartest people around have been working on this for decades.
Is there a term for the casual dismissal of breakthrough technologies and ever-moving goalposts for what is considered impressive?
Seriously, a few years ago recognizing if there's a bird in a photo was an example of a "virtually impossible" task: https://xkcd.com/1425/
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#455Oh man. I don’t know where to begin. I’ll just say that this analysis is predicated on someone who thinks Bitcoin has proven anything in the real world. We’re way past BTC being a subculture experiment. Everyone knows about it. And still nobody (in the statistical sense) uses it.
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#456"...since Bitcoin" - I hope not. Bitcoin is still a speculative technology, with value based on speculation. It might become useful (or not). NLP is being used right now for practical, commercial tasks. Advancement in NLP is going to serve practical purposes now, with potential for further expansion.
Did you read the article? :)
Otherwise, I consider it a good habit to avoid clicking on clickbaity titles. Here I got a false negative.
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#457Earlier quoted context omitted.
I think you are underestimating what an advance these models are over previous NLP models in terms of quality. Before GPT-2 we didn't even have models that could reliably generate grammatical sentences. Now we have things that generate coherent (if not beautiful) paragraphs. It seems easy in retrospect, but some of the smartest people around have been working on this for decades.
Is there a term for the casual dismissal of breakthrough technologies and ever-moving goalposts for what is considered impressive?
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#458Earlier quoted context omitted.
I just tried GPT2 at cover letters and I can't figure out a prompt that gets it to consistently write good ones, instead I can mostly get it to write bad ones (as in the sort of stuff you might see unsuccessful applicants submit). My example problem was to get it to apply to Y Combinator. It managed to misspell the organization which isn't something GPT2 normally does. Here are some examples: https://0bin.net/paste/R…
Maybe this is a dumb question, because you seem like someone who thinks in a radically different way to me. But why would you try and use GPT-2 to help you write better English versus actually learn to become a better writer yourself? I say this as someone who reads extensively and is considered a "good" writer and have won prizes before for my writing. I became a better writer through reading more books (especially…
The nearest I usually come to caring about good is that at times I aspire to be an /effective/ writer. But in many cases I've found being an effective writer can requires making the far-out leap that no one else was making or it can depend on making good guesses at the minds of readers far different from my own. While lucid language and fully formed ideas are necessary tools, the spice of something unfamiliarly or too familiar-- an allusion, even a silly or vulgar one, that people can't unstick from their minds, or anticipating their thoughts so that your writing speaks in harmony with their inner voice-- can really help a message stand out.
Some of the most effective writing, as I see it, comes from taking a step back from the words on the page and asking yourself "what does this actually say about the world?" Any tool that helps you adopt a different perspective can be useful to these ends.
Working with the machine is not just copy-and-paste-- if it were, there would already be no more need for writers. It is its own art and one that has yet to be mastered by anyone. In particular tools like GPT2 are absurdly sensitive to the prompts. There is also skill and creativity that can go into sampling, knowing when tell it to take greater or lesser risk, where to cut it off and retry or which word to insert to move it back in a fruitful direction.
Fine details like what you name objects, people, and places implicitly signal to the model the genre of the writing and help guide it down useful paths or into blind allies. We sometimes think about the connotations of the words we use but for the model the connotations are all that matter. People talk some about bias in AI but in some sense the model is nothing but biases. Strange biases, some alien and impervious to analysis, others are biting social commentary once you notice them.
Writers have always used devices and tools of various forms-- narrative forms, patterns of speech, constrained writing, and so on-- and machine text generation is but one more. I suppose that there are more dull ways of using it than brilliant ones, but that is true of any tool.
We might write with a pen or a typewriter, but the tool doesn't become the author simply because we used it to write. The same is true using the computer even if, at times, the line may be fuzzier.
We also shouldn't kid ourselves: Good writing, however we define it, is both derivative and also dependant on a health dose of chance and luck. If all the machine did was give us another way to be derivative or another way of finding fortunate statements by chance we could still find value in that alone.
I don't think it's likely that I'll be the first to discover the best ways to use machine-co-authorship to improve writing, if such ways are ever to be discovered. Neither is it likely that I'll become a renowned writer by traditional means. But the former currently has less competition and the latter has already been done.
And besides, I find it fun.
Re: OpenAI's GPT-3 may be the biggest thing since Bitcoin
#459Earlier quoted context omitted.
> Hasn't the typical human taken in orders of magnitude more data than this example? Have you read GPT-3s 175 billion parameters (words, sentences, papers, I don't care) of anything? Do you know all the words used in that corpus? Nobody has or does. A child of a small age can listen to a very small set of things and not just come up with words to communicate with mama and papa what they learned, but they can reuse it…
> This post was generated using GPT-3. [;)] Your post was generated using GPT-3 and 175 billion parameters of pre-existing human writing, contextualized, distilled, and cross-referenced with terminology we've agreed on for centuries. It's a parrot, and I remain unimpressed. Take the learned knowledge of GPT-3 (because it must be so smart right?) and have it actually do something. Buy stocks, make chemical formulas, b…
If you mean that anything except full general intelligence is unimpressive than that seems like a fairly high standard.