Or a perfect analogy, because this tool is useless for writing. But there is a perfect analogy for writing: the first time you see something, and you don't know how to describe it or even whether it's good or bad or ugly.
Annoying pedantry, (but fitting for HN), calculators are actually a very nice tool for initiating students onto the idea of a limit by having them calculate closer and closer values to a limit that can't be evaluated on the point. Of course, analysis fundamentally is about just that, approximation in calculations although people don't manually calculate derivatives or the like today.
They're fine for finding a numerical output (definite integrals & the like) but at that point the calculus is mostly finished and it's more algebra than anything else.
Is that a good analogy, though? Generally speaking, doing calculus doesn’t involve calculators at all. Maybe they’re trying to tell us that the product is useless.
“This is to writing what a bicycle is to surfing.”
This is a question I have tried to answer for years: What is a bicycle to swim in?
A simple example is the swimming pool. When a person stands on the side of the pool, he or she can move forward, backward, or back, but only if he or she is able to reach the surface. In this case, I would like to see what a swimming pool looks like if that person was able to swim . As a cyclist, we don't have to use the whole pool. This is just one example of an example of a swimming pool in a way that was not possible before.
I like the the calculator-calculus analogy: calculators might not have an understanding of calculus, but they provide pretty good approximations for many derivatives and integrals.
They should train it on the Enron emails. Then they could sell it as an Outlook plugin that auto-generates emails full of incomprehensible management-speak!
then tab-completed the rest:
over in a natural way and how i was born with two opposites, a father and a mother. i am just a child. You can also make use of the web -based API to create your own sentences, and it has many features such as multi-document syncing, automatic tagging, and automatic deletion .
> It was the best of times; it was the worst of times
the result was:
> ; and they knew what they wanted them to do. In the end the three writers who wrote the biography took the best decision of all. • A. Smith’s and B. Soderland’s biography is one of the best literary work of this generation , and deserves the award. It is well written, and does not take long to read.
I went for an old classic with "What. We spear-Danes in days gone by," and got "with our simple method of finding the best answer to question We. Let. Our. Our. The. The. What."
that lived in a tree, and the other tigers had been fighting against him for years! And one day , a lion saw a tiger eating a squirrel . So, he chased the tiger away and said, "No more tiger , I have a better idea ." The tiger said , " You're right. A lion should help the tiger ." So the tiger looked at the lion , and said, " What ?" The lion said , " The lion should help the tiger ." So the tiger smiled and went and talked to the lion again. "How is it ?" The lion said, "The lion is smarter than the tiger !" The tiger said, " The lion is smarter than the tiger ! " The lion said, "No !" The tiger said, "The lion is smarter than me !" The lion said, "No !" The tiger said, "The lion is smarter than me! !" The lion said, "No !" The tiger said, "The lion is smarter than me ! " The lion said, "No !"
> [It was the best of times; it was the worst of times.] It was a good time to be an American and it was a bad time. My brother, I thought, was the worst. He was the kind of person who would go to work and he wouldn't come home.
Kind of Hemingwayesque? Or:
> [One of the most common types of advice we give at Y Combinator is to do things that don't scale.] We tell people to do things on a smaller scale. This is often the hardest to do, but it is absolutely crucial to get right. If you don't do this, you 're missing out on the real benefits of scale and you'll lose out on opportunities. One of the things we've been doing to help people with this is to give them a very simple challenge, which is to make something that can scale to a very large scale, like Facebook's site.
You know, you could write a decent essay with that as a prompt. Suppose you did sketch out a CRUD social network site which can auto-scale on AWS. Would anyone want to use it? Of course not. All those people at Facebook are doing something, adding value some way. Think about all the things they are doing which your auto-scaling prototype completely omits. (...And so on from there covering all the stuff like network effects and spam-filtering and cost-engineering and language support and per-country customizations which do not scale but make Facebook what it is.)
A CRUD social network site which can auto-scale on AWS or on your own server in no time. Get the code here and you can test it for yourself and see what happens. This is just the first prototype. I don't know how long it will last and how many times it will be updated, but for now I am happy with what it has turned out.
My snippet:
It was the best of times, it was the blurst of times? You stupid monkey!
Autocompleted:
You are not going to be the one who takes all of the fun out of the whole thing!" He threw his arms up in defeat as the door closed behind him. "I hope you guys didn't mind that he was a complete jerk. You really can 't be too careful when playing with people like that.
[The most plausible scenario is that she presented herself to him as entirely willing] to make the first move to get rid of him. that means she must have been aware of her potential for trouble. "
" you're right, of course. but what's her role? "
" she's a member of the inner circle. "
looking for, and you are in fact in a very bad mood, which is why you should keep an eye out for such a small drop. (2)
In other words, even if you're in a good mood, you should keep an eye out for a small drop or a small drop of sadness , because this behavior can easily lead to you getting in trouble with your family (3).
However, this type of behavior is extremely rare, and it can make it difficult for the doctor to conduct research for patients who are in a situation where they cannot be properly treated with medication, and that their family member is in the mood.
The night began with a low-frequency hum that began in the northwest, then subsided into a softening, then continued on to the north, ending in a violent thud, which was followed by a pause of silence, followed by a long shower of thunder.
It is trained on ArXiv papers, so anything pop reference I type in is just ridiculous. But let's try to use the language of a paper as a prompt.
> [In the field of natural language processing we often find that the most challenging problems are] ones in which the system cannot easily adapt a language model to the input, for example. This problem has become especially aggravated by the lack of available source-native translations in natural language processing (RNN). This problem has also become more aggravated by the lack of reliable information from external sources (such as the text itself, the database, and other non-native source language’s ). Our approach to this problem, however, has been to rely on a small sample corpus of spoken language models that have already been acquired from a large corpus of natural language processing texts.
I'm still impressed by little things, like that it remembers to close the parentheses, and can even nest them. Though this is clear gibberish.
> [Conventional NLP models struggle to produce convincing text generation. In this paper we introduce] a new, cross-lingual hybrid method which allows for both natural and induced text generation. The hybrid approach provides a method to generate the text without using a natural language model, in a manner similar to what is done in the traditional text generation ( Bengio et al., 2005). We introduce three new hybrid techniques to produce text using conventional NLP methods; in the first two categories, we propose a novel hybrid method, which we call the method for generating natural texts; in the third category, we propose a novel hybrid technique , which we call the method for generating text without a natural language model.
This one is much better. It has a citation and decently fits the format of an abstract or introduction. The context is still nonsense, but the structure is there. It gets that for a paper we need to introduce a new model type. It remembers that we are talking about text generation. It cites. It says it will introduce three methods then says "the first two" and then "in the third". This surprised me a little. I'm not convinced that it is doing math though, especially since it can't autocomplete simple math sentences. But rather it is likely picking up this pattern used in papers. I wouldn't be surprised if a 2 + 1 approach is a fairly common speech pattern. I think examples like that are easy to read into, thinking that the model is doing something extraordinary when there's probably a simpler explanation lying around.
Excessive emojii use is also becoming a bit of a warning sign for me as well. That, and calculators aren't even typically that useful for calculus. They're fine for solving once you've finished with the calculus, but some knowledge of at least the mechanics & how to setup to find the desired solution is normally necessary.
The analogy might work for one of those grammar checkers, where you feed it raw input and it automagically generates the desired output. And even better, normally one has to run a sanity check on calculated results as well, which is equivalent to proofreading the results from a grammar checker.
All the emoji tell me are "this product is as immature as the copy used to promote it". Never have I seen a functional, scalable product advertised with emoji in the headers of the intro page.
Yeah that hover effect was kinda tasteless. That being said, this was moreso a presentation of existing open source NLP models? Glued together with some relatively minor contributions from the facehugger folks? I see this more as a fancy demo rather than a would be product.
Input: My dog is the happiest one to see me when I get home. But sometimes my daughter lets a small grin peep through.
Continuation: When I was a teenager I was very excited to go to college. I had a lot of fun. I did a great internship. I went on a nice, happy, happy trip. But one thing that really got me excited was to do my first year in a new school . I thought, Wow, I could get a real education.
It seems entirely unrelated to the input. Maybe it's because I write in a way that is atypical for the training set?
Someone will soon start on how many text editors and writing apps we already have. From webpage
> This web app, built by the Hugging Face team, is the official demo of the pytorch-transformers repository's text generation capabilities.
"The sky was blue. I looked in the direction from where the door was. It was a door in a big white box. The door came open and there was a man in a black dress. He was naked. We looked at each other in confusion. There was no one in the room but the man in the black dress."
Well. That's a nice way to end my workday. Goodnight everybody!
You can use crayons/calculators in some situations, but pens/computers usually do a much better job. Secondly crayons/calculators just help you with the mechanics rather than the meaning.
the problem with syntactic rules is that syntactic rules can be interpreted as rules before anybody has a chance to use them, or can even think about them! so maybe if my mom calls me cat, or the weather forecast is coming up and the people on live television could only watch the weather forecast for ten minutes or less without shouting about my exposed nipples, then everybody would be mad.
The Rust Programming Language (RNN) was designed in the early 1990s, which means that it has two distinct parts. First, a single sentence structure (LSTM) of a language model. Then the Borrow Checker (BIC) has been implemented using a pair of LSTMs, the LSTMs being a function, and the BIC function is a set of function rules, called word classes. There's no Garbage Collector in BIC, and a separate set of rules is provided to check the borrow checker and the borrow checker respectively.
The second part of the BIC is a dependency parsing tree, which consists of a set of dependency nodes and a set of dependency rules. The tree consists of two parts : a sequence of word classes which specifies the set of LSTM rules, and a set of grammar rules.
xlnet output seemed pretty much I would expect from reader the paper and Transformer-XL examples. I am sad that that it didn't seem to take in bidirectional context clues, because this a nice differentiation between it and other auto regressive models like GPT-2.
If I want to read computer generated gibberish and laugh I will read King James Programming:
> Posts generated by a Markov chain trained on the King James Bible, Structure and Interpretation of Computer Programs, and some of Eric S. Raymond's writings Run by Michael Walker (barrucadu).
Having trouble writing my comment, but a couple more:
>34:7 What man is there that knoweth not how to go about doing arithmetic on polynomials.
>It is good practice to have your program poke around at runtime and see if it can be used to give a light to the Gentiles
>145:17 The LORD is good, a strong hold in the wall of the city had twelve foundations, and in them the names of ASCII characters, including hex, octal, and binary values
>15:4 And I will send serpents, cockatrices, among you, which hunteth and catcheth any beast or fowl that may be latent in our type system
You can use it like someone's is playing mad libs with what you're writing. All the suggestions I received were fairly short in comparison with TalkToTransformer.com with the largest being 3 words or so. Did everyone else just keep hitting accept on every option?
92 comments
[ 3.0 ms ] story [ 144 ms ] threadEdit: I wonder if that was written using the program...
Edit2: actually wrote it in the program: It is to writing, what calculators -> are to math. So program is smarter than the people doing the copy.
A simple example is the swimming pool. When a person stands on the side of the pool, he or she can move forward, backward, or back, but only if he or she is able to reach the surface. In this case, I would like to see what a swimming pool looks like if that person was able to swim . As a cyclist, we don't have to use the whole pool. This is just one example of an example of a swimming pool in a way that was not possible before.
Not snarking. I'm honestly more confused reading this than I was before.
"You'll be a thought leader in no time."
this is a story all about how my life got flipped
then tab-completed the rest: over in a natural way and how i was born with two opposites, a father and a mother. i am just a child. You can also make use of the web -based API to create your own sentences, and it has many features such as multi-document syncing, automatic tagging, and automatic deletion .
gave up when it turned back into an ad
> It was the best of times; it was the worst of times
the result was:
> ; and they knew what they wanted them to do. In the end the three writers who wrote the biography took the best decision of all. • A. Smith’s and B. Soderland’s biography is one of the best literary work of this generation , and deserves the award. It is well written, and does not take long to read.
Start with a novel, get a review instead...
So, um, yeah?
So that could have gone better.
Finished as:
that lived in a tree, and the other tigers had been fighting against him for years! And one day , a lion saw a tiger eating a squirrel . So, he chased the tiger away and said, "No more tiger , I have a better idea ." The tiger said , " You're right. A lion should help the tiger ." So the tiger looked at the lion , and said, " What ?" The lion said , " The lion should help the tiger ." So the tiger smiled and went and talked to the lion again. "How is it ?" The lion said, "The lion is smarter than the tiger !" The tiger said, " The lion is smarter than the tiger ! " The lion said, "No !" The tiger said, "The lion is smarter than me !" The lion said, "No !" The tiger said, "The lion is smarter than me! !" The lion said, "No !" The tiger said, "The lion is smarter than me ! " The lion said, "No !"
Whichturned into incest erotica focused on Kallie's dissatisfaction with penis size and her sister's envy solely by selecting the top results.
So, there's that.
Kind of Hemingwayesque? Or:
> [One of the most common types of advice we give at Y Combinator is to do things that don't scale.] We tell people to do things on a smaller scale. This is often the hardest to do, but it is absolutely crucial to get right. If you don't do this, you 're missing out on the real benefits of scale and you'll lose out on opportunities. One of the things we've been doing to help people with this is to give them a very simple challenge, which is to make something that can scale to a very large scale, like Facebook's site.
pg, consider yourself replaced!
Autocompleted: You are not going to be the one who takes all of the fun out of the whole thing!" He threw his arms up in defeat as the door closed behind him. "I hope you guys didn't mind that he was a complete jerk. You really can 't be too careful when playing with people like that.
[The most plausible scenario is that she presented herself to him as entirely willing] to make the first move to get rid of him. that means she must have been aware of her potential for trouble. " " you're right, of course. but what's her role? " " she's a member of the inner circle. "
looking for, and you are in fact in a very bad mood, which is why you should keep an eye out for such a small drop. (2)
In other words, even if you're in a good mood, you should keep an eye out for a small drop or a small drop of sadness , because this behavior can easily lead to you getting in trouble with your family (3).
However, this type of behavior is extremely rare, and it can make it difficult for the doctor to conduct research for patients who are in a situation where they cannot be properly treated with medication, and that their family member is in the mood.
The night began with a low-frequency hum that began in the northwest, then subsided into a softening, then continued on to the north, ending in a violent thud, which was followed by a pause of silence, followed by a long shower of thunder.
> [In the field of natural language processing we often find that the most challenging problems are] ones in which the system cannot easily adapt a language model to the input, for example. This problem has become especially aggravated by the lack of available source-native translations in natural language processing (RNN). This problem has also become more aggravated by the lack of reliable information from external sources (such as the text itself, the database, and other non-native source language’s ). Our approach to this problem, however, has been to rely on a small sample corpus of spoken language models that have already been acquired from a large corpus of natural language processing texts.
I'm still impressed by little things, like that it remembers to close the parentheses, and can even nest them. Though this is clear gibberish.
> [Conventional NLP models struggle to produce convincing text generation. In this paper we introduce] a new, cross-lingual hybrid method which allows for both natural and induced text generation. The hybrid approach provides a method to generate the text without using a natural language model, in a manner similar to what is done in the traditional text generation ( Bengio et al., 2005). We introduce three new hybrid techniques to produce text using conventional NLP methods; in the first two categories, we propose a novel hybrid method, which we call the method for generating natural texts; in the third category, we propose a novel hybrid technique , which we call the method for generating text without a natural language model.
This one is much better. It has a citation and decently fits the format of an abstract or introduction. The context is still nonsense, but the structure is there. It gets that for a paper we need to introduce a new model type. It remembers that we are talking about text generation. It cites. It says it will introduce three methods then says "the first two" and then "in the third". This surprised me a little. I'm not convinced that it is doing math though, especially since it can't autocomplete simple math sentences. But rather it is likely picking up this pattern used in papers. I wouldn't be surprised if a 2 + 1 approach is a fairly common speech pattern. I think examples like that are easy to read into, thinking that the model is doing something extraordinary when there's probably a simpler explanation lying around.
But still, cool stuff.
The analogy might work for one of those grammar checkers, where you feed it raw input and it automagically generates the desired output. And even better, normally one has to run a sanity check on calculated results as well, which is equivalent to proofreading the results from a grammar checker.
In: This is a thing I hope to Jesus
Out: I am a whore\n\nI am an
Input: My dog is the happiest one to see me when I get home. But sometimes my daughter lets a small grin peep through.
Continuation: When I was a teenager I was very excited to go to college. I had a lot of fun. I did a great internship. I went on a nice, happy, happy trip. But one thing that really got me excited was to do my first year in a new school . I thought, Wow, I could get a real education.
It seems entirely unrelated to the input. Maybe it's because I write in a way that is atypical for the training set?
Anyone else finding similar?
This is a demo for NLP
Well. That's a nice way to end my workday. Goodnight everybody!
You can use crayons/calculators in some situations, but pens/computers usually do a much better job. Secondly crayons/calculators just help you with the mechanics rather than the meaning.
The second part of the BIC is a dependency parsing tree, which consists of a set of dependency nodes and a set of dependency rules. The tree consists of two parts : a sequence of word classes which specifies the set of LSTM rules, and a set of grammar rules.
> Posts generated by a Markov chain trained on the King James Bible, Structure and Interpretation of Computer Programs, and some of Eric S. Raymond's writings Run by Michael Walker (barrucadu).
Alas it stopped spitting nonsense three years ago but it's still brilliant. https://kingjamesprogramming.tumblr.com
Example:
> ‘mode lines’ — program status summaries carried on a highlighted screen line, often near the bottom or at the mouth of the LORD
I understood from this that three years ago it _started_ making sense... which would've been pretty cool!
Still great though, I'm tempted to make my own with some similarly random collection of inputs..
Amazing.
>34:7 What man is there that knoweth not how to go about doing arithmetic on polynomials.
>It is good practice to have your program poke around at runtime and see if it can be used to give a light to the Gentiles
>145:17 The LORD is good, a strong hold in the wall of the city had twelve foundations, and in them the names of ASCII characters, including hex, octal, and binary values
>15:4 And I will send serpents, cockatrices, among you, which hunteth and catcheth any beast or fowl that may be latent in our type system
You can use it like someone's is playing mad libs with what you're writing. All the suggestions I received were fairly short in comparison with TalkToTransformer.com with the largest being 3 words or so. Did everyone else just keep hitting accept on every option?