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:
pic.twitter.com/DbLoe1s00c
— Weird Dall-E Mini Generations (@weirddalle) June 8, 2022
pic.twitter.com/cxtliOrlHz
— 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
pic.twitter.com/rEBHoWR7lH
— Weird Dall-E Mini Generations (@weirddalle) June 12, 2022
pic.twitter.com/RSZaCIDVV7
— 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.
Meet Clearview AI, a Terrifying New Facial Recognition Software
The company claims over 600 law enforcement agencies use their app, but in the wrong hands, it could pose extreme dangers. Here's an explainer.
Imagine you're at a bar and you see a person you find attractive.
You sneakily take a photo of them, and use that photo in an app that pulls up every public photo of that person available online. Links to each photo are also provided, meaning you can find out this person's name, workplace, hometown, friends, and more, without even talking to them. An app called Clearview AI has made the potential for this situation a reality.
Recently, New York Times reporter Kashmir Hill investigated the tiny start-up that's taking revolutionary steps in facial recognition technology. Clearview AI was developed by Hoan Ton-That, a San Francisco techie by way of Australia, who marketed the app as a tool for law enforcement to hunt down their victims. Clearview's database contains over three billion images scraped from millions of websites; the premise is, when you take a photo of a person, you can upload it and see public photos of that person and access links to where those photos are from.
Facial Crowd Recognition Technology
Getty Images
Though this sounds like a remarkable tool for law enforcement, Clearview poses severe threats to privacy if placed in the wrong hands. As Hill described in her appearance on Times podcast The Daily this week, someone with malicious intent could theoretically take a photo of a stranger, upload it to Clearview, and uncover personal information like that person's name, where they work, where they live, and who their family members are. In short: the concept is so risky that companies who were able to do the same thing first, like Google, refused to.
Still, Clearview claims that over 600 law enforcement agencies have been using the app, although they've kept their list of customers private. Clearview's investors have cited the app's crime-solving capabilities as a means to back it; Clearview has already helped track down suspects on numerous accounts. But, as Hill's reports found, the app isn't always perfect and might not be fully unbiased; "After the company realized I was asking officers to run my photo through the app, my face was flagged by Clearview's systems and for a while showed no matches," Hill wrote. "When asked about this, Mr. Ton-That laughed and called it a 'software bug.'" Later, when Ton-That ran another photo of Hill through the app, it pulled up a decade's worth of photos—many of which Hill didn't even realize were public.
"Our belief is that this is the best use of the technology," Ton-That told Hill. But is Clearview's usefulness in law enforcement worth leaving our privacy behind every time we leave the house?
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