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by deadmik3 2470 days ago
I typed:

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

9 comments

> [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.

pg, consider yourself replaced!

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.
> Once upon a time there was a tiger

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 !"

> There once was a girl named Kallie,

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.

When I tried

> 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...

I tried "Call me Ishmael" and it came back with Please tell me, Ishmael, are you a human being or are you a cat? Are you a woman or a woman?

So, um, yeah?

> It was a dark and stormy night.

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.

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.

Stallman?
Okay, I bite:

[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. "

These aren't the droids you're

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.

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.

But still, cool stuff.

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."

So that could have gone better.

But people do actually speak like ads these days.