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Should this author have hired an editor?

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Next are the first 17 manuscript lines of the first page of a sci fi novel titled The Pattern Ship . A poll and the opening page of the first chapter follow. Should this author have hired an editor?

A cosmic disturbance occurred within the open vacuum existing between the watery planet and its cratered moon as an unseen ripple formed a distortion in local space. It spread outward, causing molecules floating in the vacuum to become agitated by whatever was causing the anomaly. The effect created a swirling cloud of cosmic dust visible to the naked eye for hundreds of miles.

From behind the planet’s moon, the incident was observed. The dark shape hiding in the shadow of the orbiting satellite, not wanting to be detected by the encroaching ripple, activated its cloak. The shadow disappeared as the advanced technology bent space-time until it was undetectable from the anomaly’s wake. The growing wormhole shimmered as a corona of gaseous substances appeared, pushed ahead of a small silver core that reflected the sun’s light. The object grew in size as more of its body exited the swirling maelstrom. The object took on substance as well as form and the hidden observer recognised the shape as a silver spaceship nosed its way into normal space.

As it completed its entrance, the misty bow wave created by its arrival was sucked in behind it as the small ship, now free of the distortion, increased velocity and distanced itself from the wormhole, which was already collapsing as the technology that had generated it passed through.

Were you compelled to turn the page?

This story earned 4.1 stars on Amazon. The writing is solid, the voice nicely matter-of-fact, which is appropriate for a hard science fiction novel. And that’s what this opening promises—a good, old-fashioned sci fi story. The scene is set nicely with the imagery of the watery planet and its cratered moon that lets us know that this story is about Earth and humanity. And there’s a suggestion of jeopardy ahead for the arriving space ship with the observer, a dark shape, hiding and cloaking to be undetected. As it turns out, that’s exactly right. The emerging ship harbors the good alien in this scenario, and he . . . well, he will make an appearance in modern times after millennia of being hidden on our planet. As a sci fi fan, this worked for me. What do you think?

Should this author have hired an editor?

Next are the first 17 manuscript lines of the first page of a mystery titled Greed . A poll and the opening page of the first chapter follow. Should this author have hired an editor?

JMRI is...

There are three types of consists used on DCC systems:

In this type of consist, each Locomotive is assigned the same address on the programming track, or on the main with OpsMode Programming (if supported by the command station and decoder). You can use either a long (CV17 and CV18) or short (CV1) address for a primary address consist.

A Command Station Assisted Consist (CSAC).

A command station assisted consist is built using a function of your command station. Command Station Assisted Consists go by the trade names listed in the table below. The table also lists the known limitations imposed by each manufacturer.

The common trait shared by all versions of CSAC is that a separate speed and direction command is sent to the track for each Locomotive that is in the consist.

JMRI provides support for consists using the Consist Tool, which is accessible through the Tools or Actions menu of any JMRI application. (There is also a NCE-specific Consisting Tool that works somewhat differently from the tool described here)

The Consisting tool provides a visual tool for manipulating the Decoder Assisted Consists and, on some command stations, Command Station Assisted Consists. Backing up the Consist Tool is a consist manager. The consist manager is responsible for maintaining information about existing consists and for communicating the necessary information between the consist tool and the Command Station.

To select the consist manager in use, we first need to open the defaults tab in the preferences.

Once the preferences are loaded, the choices for the consist manager will be selectable in the "Consists" column (inside the box labeled 1 in the figure above). Here we see two choices, one for a Loconet connection, labeled A and one for the Internal connection labeled B. If you have more system connections available, other options may be available as well.

If you choose option A, then you choose to use the consist manager associated with the system. This will either be a system specific consist manager or one of the generic consist managers, depending on the support of the system.

If you choose option B, then the Internal Consist Manager manager is used. In this case, if there is a selection made in the Command Station column (in the box labeled 2 in the figure) then the consist will be created on the system with the selected command station. This selection will cause consists to be created using a special DCC packet for creating consists.

If you choose option B and there is no selection for the command station, consists will be created on the system with an Ops Mode Programmer selected in Column 3. This selection will cause consists to be created using Operations Mode Programming. Note that if the Internal system is selected in this case, no consists will be created.

This sample from a relatively decent model illustrates a few common mistakes. For example, the model opens a  \begin{proof}  environment but then ends it with a  \end{lemma}  . This is an example of a problem we’d have to fix manually, and is likely due to the fact that the dependency is too long-term: By the time the model is done with the proof it has forgotten whether it was doing a proof or a lemma. Similarly, it opens an  \begin{enumerate}  but then forgets to close it. We observed that these became less common with larger/better models, but nonetheless, these are the kinds of mistakes that come up.

I wanted to push structured data to its limit, so for the final challenge I decided to use code. In particular, I took all the source and header files found in the Linux repo on Github , concatenated all of them in a single giant file (474MB of C code) (I was originally going to train only on the kernel but that by itself is only ~16MB). Then I trained several as-large-as-fits-on-my-GPU 3-layer LSTMs over a period of a few days. These models have about 10 million parameters, which is still on the lower end for RNN models. The results are superfun:

The code looks really quite great overall. Of course, I don’t think it compiles but when you scroll through the generate code it feels very much like a giant C code base. Notice that the RNN peppers its code with comments here and there at random. It is also very good at making very few syntactic errors. For example, it uses strings properly, pointer notation, etc. It also opens and closes brackets  {[  correctly and learns to indent its code very well. A common error is that it can’t keep track of variable names: It often uses undefined variables (e.g.  rw  above), declares variables it never uses (e.g.  int error  ), or returns non-existing variables. Lets see a few more examples. Here’s another snippet that shows a wider array of operations that the RNN learns:

Notice that in the second function the model compares  tty == tty  , which is vacuously true. On the other hand, at least the variable  tty  exists in the scope this time! In the last function, notice that the code does not return anything, which happens to be correct since the function signature is  void  . However, the first two functions were also declared  void  and did return values. This is again a form of a common mistake due to long-term interactions.

Sometimes the model decides that it’s time to sample a new file. This is usually a very amusing part: The model first recites the GNU license character by character, samples a few includes, generates some macros and then dives into the code:

There are too many fun parts to cover- I could probably write an entire blog post on just this part. I’ll cut it short for now, but here is BNC Men Womens Rubber Sandal Slipper Comfortable Shower Beach Shoe Slip on Flip Flop Black/Bk Men obyejsuF