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The Top 10 Grammar Myths

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Mignon Fogarty is the founder of Quick and Dirty Tips and is known for her Grammar Girl websitepodcast, and games.

Before you argue with me, read the whole explanation about why each of these is a myth.

1. A run-on sentence is a really long sentence. 

Wrong! They can actually be quite short. In a run-on sentence, independent clauses are squished together without the help of punctuation or a conjunction. If you write “I am short he is tall,” as one sentence without a semicoloncolon, or dash between the two independent clauses, it's a run-on sentence even though it only has six words.

2. You shouldn't start a sentence with the word “however.” 

Wrong! It's fine to start a sentence with “however” so long as you use a comma after it when it means "nevertheless."

3. “Irregardless” is not a word. 

Wrong! “Irregardless” is a bad word and a word you shouldn't use, but it is a word. “Floogetyflop” isn't a word—I just made it up and you have no idea what it means.  “Irregardless,” on the other hand, is in almost every dictionary labeled as nonstandard. You shouldn't use it if you want to be taken seriously, but it has gained wide enough use to qualify as a word.

4. There is only one way to write the possessive form of a word that ends in “s.” 

Wrong! It's a style choice. For example, in the phrase “Kansas's statute,” you can put just an apostrophe at the end of “Kansas” or you can put an apostrophe “s” at the end of “Kansas.” Both ways are acceptable.

5. Passive voice is always wrong. 

Wrong! Passive voice is when you don't name the person who's responsible for the action. An example is the sentence "Mistakes were made," because it doesn't say who made the mistakes. If you don't know who is responsible for an action, passive voice can be the best choice. 

6. “I.e.” and “e.g.” mean the same thing. 

Wrong! “E.g.” means "for example," and “i.e.” means roughly "in other words." You use “e.g.” to provide a list of incomplete examples, and you use “i.e.” to provide a complete clarifying list or statement.

7. You use “a” before words that start with consonants and “an” before words that start with vowels. 

Wrong! You use “a” before words that start with consonant sounds and “an” before words that start with vowel sounds. So, you'd write that someone has an MBA instead of a MBA, because even though “MBA” starts with “m,” which is a consonant, it starts with the sound of the vowel “e”--MBA. 

8. It's incorrect to answer the question "How are you?" with the statement "I'm good." 

Wrong! “Am” is a linking verb and linking verbs should be modified by adjectives such as “good.” Because “well” can also act as an adjective, it's also fine to answer "I'm well," but some grammarians believe "I'm well" should be used to talk about your health and not your general disposition. 

9. You shouldn't split infinitives. 

Wrong! Nearly all grammarians want to boldly tell you it's OK to split infinitives. An infinitive is a two-word form of a verb. An example is "to tell." In a split infinitive, another word separates the two parts of the verb. "To boldly tell" is a split infinitive because “boldly” separates “to” from “tell.”

10. You shouldn't end a sentence with a preposition. 

Wrong! You shouldn't end a sentence with a preposition when the sentence would mean the same thing if you left off the preposition. That means "Where are you at?" is wrong because "Where are you?" means the same thing. But there are many sentences where the final preposition is part of a phrasal verb or is necessary to keep from making stuffy, stilted sentences: “I'm going to throw up,” “Let's kiss and make up,” and “What are you waiting for” are just a few examples.  

You can find more information about each of these myths in the Grammar Girl archives.

This article was originally published by Mignon Fogarty on quickanddirtytips.com and shared here because we love her. She is also the author of the New York Times best-seller Grammar Girl's Quick and Dirty Tips for Better Writing.

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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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fun
Nintendo Will Release an $80 Mini SNES in September
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© Nintendo

Retro gamers rejoice: Nintendo just announced that it will be launching a revamped version of its beloved Super Nintendo Classic console, which will allow kids and grown-ups alike to play classic 16-bit games in high-definition.

The new SNES Classic Edition, a miniature version of the original console, comes with an HDMI cable to make it compatible with modern televisions. It also comes pre-loaded with a roster of 21 games, including Super Mario Kart, The Legend of Zelda: A Link to the Past, Donkey Kong Country, and Star Fox 2, an unreleased sequel to the 1993 original.

“While many people from around the world consider the Super NES to be one of the greatest video game systems ever made, many of our younger fans never had a chance to play it,” Doug Bowser, Nintendo's senior vice president of sales and marketing, said in a statement. “With the Super NES Classic Edition, new fans will be introduced to some of the best Nintendo games of all time, while longtime fans can relive some of their favorite retro classics with family and friends.”

The SNES Classic Edition will go on sale on September 29 and retail for $79.99. Nintendo reportedly only plans to manufacture the console “until the end of calendar year 2017,” which means that the competition to get your hands on one will likely be stiff, as anyone who tried to purchase an NES Classic last year will well remember.

In November 2016, Nintendo released a miniature version of its original NES system, which sold out pretty much instantly. After selling 2.3 million units, Nintendo discontinued the NES Classic in April. In a statement to Polygon, the company has pledged to “produce significantly more units of Super NES Classic Edition than we did of NES Classic Edition.”

Nintendo has not yet released information about where gamers will be able to buy the new console, but you may want to start planning to get in line soon.

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