Dall-E Mini, the AI-powered text-to-image generator has taken over the internet. With its ability to render nearly anything your meme-loving heart desires, anyone can make their dreams come true.
DALL-E 2, a portmanteau of Salvador Dali, the surrealist and Wall-E, the Pixar robot, was created by OpenAI and is not widely available; it creates far cleaner imagery and was recently used to launch Cosmpolitan’s first AI-generated cover. The art world has been one of the first industries to truly embrace AI.
The open-sourced miniature version is what’s responsible for the memes. Programmer Boris Dayma wants to make AI more accessible; he built the Dall-E Mini program as part of a competition held by Google and an AI community called Hugging Face.
And with great technology, comes great memes. Typing a short phrase into Dall-E Mini will manifest 9 different amalgamations, theoretically shaping into reality the strange images you’ve conjured. Its popularity leads to too much traffic, often resulting in an error that can be fixed by refreshing the page or trying again later.
If you want to be a part of the creation of AI-powered engines, it all starts with code. CodeAcademy explains that Dall-E Mini is a seq2seq model, “typically used in natural language processing (NLP) for things like translation and conversational modeling.” CodeAcademy’s Text Generation course will teach you how to utilize seq2seq, but they also offer opportunities to learn 14+ coding languages at your own pace.
You can choose the Machine Learning Specialist career path if you want to become a Data Scientist who develops these types of programs, but you can also choose courses by language, subject (what is cybersecurity?) or even skill - build a website with HTML, CSS, and more.
CodeAcademy offers many classes for free as well as a free trial; it’s an invaluable resource for giving people of all experience levels the fundamentals they need to build the world they want to see.
As for Dall-E Mini, while some have opted to create beauty, most have opted for memes. Here are some of the internet’s favorites:
— Weird Dall-E Mini Generations (@weirddalle) June 8, 2022
— Weird Dall-E Mini Generations (@weirddalle) June 12, 2022
no fuck every other dall-e image ive made this one is the best yet pic.twitter.com/iuFNm4UTUM
— bri (@takoyamas) June 10, 2022
— Weird Dall-E Mini Generations (@weirddalle) June 12, 2022
— Chairman George (@superbunnyhop) June 9, 2022
back at it again at the DALL•E mini pic.twitter.com/iPGsaMThBC
— beca. ⚢ (@dorysief) June 9, 2022
There’s no looking back now, not once you’ve seen Pugachu; artificial intelligence is here to stay.
Everything You Need to Know About How to Spot a Bot
Are you interacting with a real person, or an automated program? Sometimes, it's hard to tell
For years, science fiction writers have been telling us robots are going to take over the world. It turns out they were right.
But, it's we humans who are doing the androids' dirty work. Unless you've been living in a cabin deep in the woods without the internet (and if so, do you have an extra bunk?), you are probably familiar with the scourge of "Bots," even if you don't recognize the invasion. Bots, short for "robots," are automated programs that run over the internet. On social media, bots have made their presence felt through a wave of fake accounts posing as real people, some 48 million on Twitter alone.
Spotting a bot can be tricky.
Many of the accounts look and feel like real people, but it's worth taking the time and effort to weed out the phonies. Fake social accounts can do real harm through the spreading of misinformation. It's important to be able to recognize and eliminate bots, because according to computer scientist Chengcheng Shao who said to MIT Technology Review, "Social bots play a key role in the spread of fake news."
Perhaps you recall that during the lead-up to the 2016 presidential election, Pope Francis shocked the world by endorsing Donald Trump. It was the top fake news story of 2016 and earned nearly a million Facebook engagements. Fake news works, it always has, and it isn't going anywhere. Which is why last January, Pope Francis said we all need to recognize the "snake-tactics" of the "crafty serpent" that go all the way back to the Book of Genesis. When the Pontiff himself declares, "the truth will set you free," it's time to identify and eliminate the bots in our human lives.
Pope Francis addresses the scourge of fake news at the Vatican https://goo.gl/uz6gFJ
Unfortunately, there isn't a single characteristic to help spot a bot, but there are broad identifiable patterns.
First and foremost, no matter the social media site, ask yourself a simple question when you see a post from someone you don't know personally (or more likely a post from someone you do know, reposting some "person" you don't):
Does this account seem like a real human being? Common sense is on your side. Use it.
Let's start with Twitter, where the homepage of a user can tell a lot. If the bio reads like something Rosey from The Jetsons would spit out, it's a flashing sign of online garbage. Real people write real bios. Is the avatar the default silhouette? Is the Twitter handle gobbledygook no human would choose? Do they post all the time, morning, noon, and night? People sleep, bots not so much. Or conversely, do they only retweet and repost, often to multiple accounts? This isn't how humans engage on social media.
These are the obvious ones, but of course, the bot factories are a lot more complex.
Here are a few more telltale Twitter questions to ask: Does the account follow a ton of people with few followers of its own? Has it followed and unfollowed you in a short amount of time? (Google "Who Unfollowed Me on Twitter" for a simple link), Did you get a reply in microseconds? Do the comments, retweets, and reposts appear to be from other bots? Does the Tweet originate not from the web or mobile, but "from API," which is often automated? Are there multiple posts about breaking news within minutes? (The Parkland shooting unleashed a near-instantaneous torrent of Russian bots.) Does the account interact with friends and foes in the same way you do? If not, chances are, it's a bot. Another trick if you're still stumped is to take the avatar photo and reverse image it. If it pops up all over the web, it's probably a stock photo, which isn't necessarily rock solid--mine is currently of legendary Philadelphia Eagles QB Nick Foles--but it's fairly obvious if it matches up with the other giveaway signs. Two other helpful tools to verify Twitter accounts are Botometer and Botchek.
Facebook has one simple built-in bot eliminator, which is that you have to accept invitations from others.
Use the old childhood axiom of not taking candy from strangers. If you don't know the person, or you have no mutual friends, ignore the request. You can also look up the account to make sure.
Other Facebook warning signs include an older pre-Timeline layout, an attractive female model as the profile picture (men are such easy marks), an empty wall or one with few personal updates and responses, or an enormous amount of "likes" that have seemingly zero in common. Again, does the account look like yours? The Facebook Help Center has a tool to show what bots you followed, but it's limited to bots you directly followed, not your friends, and it doesn't go that far back. Consider it a starting point.
But what about bots on other social platforms?
The New York Times just ran a fascinating story on combatting Instagram bots, which pointed out the most obvious ones, those following 7,500 accounts, the maximum allowed, without a single posted photo or profile picture. Other fishy things to look for are: Accounts with a lot of followers, say 25,000, and little engagement, say two likes, on a photo, an account with a giant inorganic spike in followers, or an account following many more on the 'Gram than it has followers.
Beware of instagram accounts with thousands of followers, and no picturesPhoto by Ben Kolde
Spotting and blocking the fraudulent is key to a healthy social media existence.
But remember, bots aren't the biggest problem. We are. A new study by three MIT scholars found that on Twitter, most fake news is spread by humans, at a speedier rate, and at a much higher volume. Fake news stories are 70% more likely to be spread than actual news stories and reach 1,500 people six times faster. Why? The scholars theorize it's a combination of human impulses. Fake stories, often with insane too-good-to-be-true headlines, seem novel, so we share them to be "in the know." Bullcrap also triggers "surprise and disgust," whereas accurate stories engender sadness, anticipation, and (gasp) trust.
You can train yourself to spot a bot, but it's not enough. Check yourself first. Otherwise, when the robots do officially take over, we'll only have ourselves to blame.
- How to spot a bot -- FCW ›
- How to Spot a Russian Bot – Mother Jones ›
- How to tell if you're talking to a bot - MIT Technology Review ›
- #BotSpot: Twelve Ways to Spot a Bot - DFRLab - Medium ›
- How to Spot a Twitter Bot | Symantec Blogs ›
- Spot a Bot: Identifying Automation and Disinformation on Social Media ›
- How to spot a bot and what to do about it ›
- How To Spot Social Media Bots - They Are Often Lonely ›