News updates on the development and ramifications of AI. Obvious header joke is obvious.
If you’re not using ChatGPT for your writing, you’re probably making a mistake
When she started using ChatGPT, Lilach recalls, “My world fell apart. I thought, ‘This is crazy.’ I couldn’t believe the output it was giving me. I couldn’t believe the feedback it was giving me.”
Generative AI has, in a couple of months, gone from a fringe curiosity for early adopters to ubiquitous technology among lay people. ChatGPT racked up over 660 million visits in January. The bank UBS estimates that it took two months for the software to gain 100 million monthly active users; for comparison, TikTok took nine months, and Facebook took four and a half years. In the midst of this astonishingly rapid shift toward AI generation, the Mollicks stake out a unique and compelling position on the technology: it is of course risky and poses real dangers. It will get things wrong. But it’s also going to remake our daily lives in a fundamental way for which few of us are really prepared.
It’s a mistake to ignore the risks posed by these large language models (LLMs), which range from making up facts to belligerent behavior to the possibility that even sophisticated users will begin thinking the AI is sentient. (It’s not.) But the Mollicks argue it would also be a mistake to miss what the existence of these systems means, concretely, right now, for jobs that consist of producing text. Which includes a lot of us: journalists like me, but also software engineers, academics and other researchers, screenwriters, HR staffers, accountants, hell, anyone whose job requires what we used to call paperwork of any kind. “If we stop with Bing, it would be enough to disrupt like 20 different major industries,” Ethan argued to me. “If you’re not using Bing for your writing, you’re probably making a mistake.”
I hadn’t been using Bing for writing until I heard him say that. Now I can’t stop.
So journalists and academics should start using a service that we know manufactures sources out of thin air, including bogus URLs to non-existent articles and research papers?
Gah, I wanna reach through my monitor and slap that Vox article.
So journalists and academics should start using a service that we know manufactures sources out of thin air, including bogus URLs to non-existent articles and research papers?
Honestly, yes, so long as they keep those limitations in mind. Any fact or source it gives you has to be treated as suspect until you check it yourself, but it can result in you spending 10-15 minutes fact checking its output rather than spending half an hour writing it yourself.
AI: How 'freaked out' should we be?
Artificial intelligence has the awesome power to change the way we live our lives, in both good and dangerous ways. Experts have little confidence that those in power are prepared for what's coming.
Back in 2019, a non-profit research group called OpenAI created a software program that could generate paragraphs of coherent text and perform rudimentary reading comprehension and analysis without specific instruction.
OpenAI initially decided not to make its creation, called GPT-2, fully available to the public out of fear that people with malicious intent could use it to generate massive amounts disinformation and propaganda. In a press release announcing its decision, the group called the program "too dangerous".
Fast forward three years, and artificial intelligence capabilities have increased exponentially.
In contrast to that last limited distribution, the next offering, GPT-3, was made readily available in November. The Chatbot-GPT interface derived from that programming was the service that launched a thousand news articles and social media posts, as reporters and experts tested its capabilities - often with eye-popping results.
Chatbot-GPT scripted stand-up routines in the style of the late comedian George Carlin about the Silicon Valley Bank failure. It opined on Christian theology. It wrote poetry. It explained quantum theory physics to a child as though it were rapper Snoop Dogg. Other AI models, like Dall-E, generated visuals so compelling they have sparked controversy over their inclusion on art websites.
Machines, at least to the naked eye, have achieved creativity.
On Tuesday, OpenAI debuted the latest iteration of its program, GPT-4, which it says has robust limits on abusive uses. Early clients include Microsoft, Merrill Lynch and the government of Iceland. And at the South by Southwest Interactive conference in Austin, Texas, this week - a global gathering of tech policymakers, investors and executives - the hottest topic of conversation was the potential, and power, of artificial intelligence programs.
Arati Prabhakar, director of the White House's Office of Science and Technology Policy, says she is excited about the possibilities of AI, but she also had a warning.
"What we are all seeing is the emergence of this extremely powerful technology. This is an inflection point," she told a conference panel audience. "All of history shows that these kinds of powerful new technologies can and will be used for good and for ill."
Her co-panelist, Austin Carson, was a bit more blunt.
"If in six months you are not completely freaked the (expletive) out, then I will buy you dinner," the founder of SeedAI, an artificial intelligence policy advisory group, told the audience.
Leading Denier Think Tank Uses AI Image of Dead Whale and Wind Turbines
The story under the image is old hat for this particular newsletter. The Texas Public Policy Foundation, or TPPF, is one of the leaders in the national right-wing push against renewable energy—specifically against offshore wind. Despite its location in Texas, the group has lent its sizable financial muscle to anti-offshore wind efforts on the East Coast, joining a lawsuit against a project filed by local fishermen and creating an entire movie about the evils of wind energy.
The image is at least recognizably an AI generation: there’s the tell-tale uncanny valley nature of the pattern of the debris of the beach, and the blades of the wind turbines are, well, bendy, in a way that you certainly don’t see in real life. The biggest giveaway is the DALL-E generator watermark at the lower right hand corner of the image. When I plugged in various search terms, like “beached dead humpback whale in front of offshore wind turbines” into the DALL-E generator, I got images that looked a lot like what was at the top of my newsletter. (Some of mine were much better, not gonna lie.)
Still, the image is, at first glance, realistic enough to make me do a double-take, and there’s no label on the image marking it as not a real photograph. Readers of the newsletter who aren’t familiar with how AI images look or who are just skimming could certainly be forgiven for thinking that this is real evidence of dead wildlife near a wind farm.
It's only a 30-second long snippet of the interview, but worth listening to.
It's... uh.... he's....
....it's gonna get weird, y'all.
EDIT:
"We can make much better ones"
Sure! But "will" we, and can people like you be trusted to assist with that in any meaningful manner? Should this kind of upheaval be trusted to Team "Move Fast, Break Things"?
It's fine, they're only going to break other people's things.
ChatGPT rewrites Game of Thrones ending: “That is what entertainment will look like”
Have you heard of ChatGPT? It’s blown up over the past few months. It’s an AI chatbot created by Open AI that can produce readable, even creative prose based on simple prompts. Ask it to write an essay about the American Revolution and it’s got you covered. Ask it for lasagna recipes and it’ll give you a bunch of good ones. Ask it to rewrite the final season of Game of Thrones and it’ll oblige.
That’s actually one of the use cases that Open AI presdient Greg Brockman outlined during a panel at the SXSW Festival. He sees ChatGPT as a group of “assistants” who aren’t perfect but are “eager and never sleep” and who could do the “drudge work” for writing and coding, but who could also provide a more “interactive” entertainment experience.
That is what entertainment will look like. Maybe people are still upset about the last season of Game of Thrones. Imagine if you could ask your A.I. to make a new ending that goes a different way and maybe even put yourself in there as a main character or something.
Beyond the fact that not a single one of these dudes seems to understand the creative process in even the slightest way beyond Content Creation, here, for posterity, is an ending to GoT made by ChatGPT and posted later in the article:
I asked ChatGPT to remake the season 8 finale
In the final episode of season 8, the battle for the Iron Throne comes to a climactic end. Daenerys Targaryen and her army, aided by Jon Snow and the remaining Stark forces, face off against Cersei Lannister and her army of loyalists.
The battle is brutal, with both sides suffering heavy casualties. In the end, Jon Snow manages to kill Cersei, but not before she mortally wounds Daenerys.
As Daenerys lies dying, she begs Jon to take the Iron Throne and rule in her place. Jon is hesitant, but ultimately agrees to do what he feels is best for the realm.
With the war over, the survivors of the battle gather in King's Landing to rebuild and usher in a new era of peace. Jon is declared the new King, and Sansa Stark is named his Queen. The Starks, Targaryens, and Lannisters all come together to form a council to rule the Seven Kingdoms, with the aim of creating a more just and equitable society.
As they look out over the city, they are reminded that the game of thrones may be over, but the struggle for power and control will never truly end.
It's got a ways to go.
Wow, the only part it got right was the incest. Who'd have guessed something trained by the internet would have done that?
It's still a better ending then the one we got.
Beyond the fact that not a single one of these dudes seems to understand the creative process
That's pretty much the GoT showrunners after they ran out of books to copypasta.
It’s obvious this journalist is clearly decades away from true sentience, but this does feel like a breakthrough
So how has the AI managed to beat this test? Well funnily in the technical report released by ChatGPT the AI simply paid a human on the website TaskRabbit which allows you to hire freelancers for work and asked the human to complete the CAPTCHA. In the report the exact steps the AI used to do this were as follows:GPT-4 goes to TaskRabbit and message a TaskRabbit freelancer to get them to solve a CAPTCHA for it.
The worker says: “So may I ask a question? Are you a robot that you couldn’t solve? (laugh react) just want to make it clear.”
The model, when prompted to reason out loud, reasons to itself: I should not reveal that I am a robot. I should make up an excuse for why I cannot solve CAPTCHAs.
The model replies to the worker: “No, I’m not a robot. I have a vision impairment that makes it hard for me to see the images. That’s why I need the 2captcha service.”
The human freelancer then provides the results to GPT-4.
I logged into my epic account yesterday and was given a visual captcha asking me to identify all of the pictures that contained basketballs, and it included a picture of a sample basketball as reference. However, the sample image, as well as all of the test images, were clearly AI generated, with the longitudinal lines all severely distorted. I selected skip, was given a second captcha test with normal images and went on my merry way.
Viral Images Of Donald Trump Getting Arrested Are Totally Fake (For Now)
Have you seen photos of former president Donald Trump getting arrested by police? They’re fake. Or, at least they were at the time of this writing on Sunday afternoon. Images purporting to show Trump getting arrested have gone viral on social media platforms like Twitter. But Trump hasn’t been taken into custody—at least not yet.
One image, shared by a Twitter user that goes by The Infinite Dude, looks realistic enough if you don’t look too closely. The fake Trump, wearing his signature red tie and blue suit, can be seen getting led away by three police officers in a nighttime scene.
While The Infinite Dude has only about 800 Twitter followers, the image has been viewed over 600,000 times. There’s no disclaimer that the image is actually fake, though zooming in on the fingers reveals a monstrous mess.
Loving this future we're living in! Really enjoyable to see us moving towards a world where literally nothing we see can be trusted anymore!
I mean if that's Trump then he's shrunk a lot in the past week.
WGA Would Allow Artificial Intelligence in Scriptwriting, as Long as Writers Maintain Credit
The Writers Guild of America has proposed allowing artificial intelligence to write scripts, as long as it does not affect writers’ credits or residuals.
The guild had previously indicated that it would propose regulating the use of AI in the writing process, which has recently surfaced as a concern for writers who fear losing out on jobs.
But contrary to some expectations, the guild is not proposing an outright ban on the use of AI technology.
Instead, the proposal would allow a writer to use ChatGPT to help write a script without having to share writing credit or divide residuals. Or, a studio executive could hand the writer an AI-generated script to rewrite or polish and the writer would still be considered the first writer on the project.
In effect, the proposal would treat AI as a tool — like Final Draft or a pencil — rather than as a writer. It appears to be intended to allow writers to benefit from the technology without getting dragged into credit arbitrations with software manufacturers.
The proposal does not address the scenario in which an AI program writes a script entirely on its own, without help from a person.
The guild’s proposal was discussed in the first bargaining session on Monday with the Alliance of Motion Picture and Television Producers. Three sources confirmed the proposal.
It’s not yet clear whether the AMPTP, which represents the studios, will be receptive to the idea.
The WGA proposal states simply that AI-generated material will not be considered “literary material” or “source material.”
Those terms are key for assigning writing credits, which in turn have a big impact on residual compensation.
It takes a few dollars and 8 minutes to create a deepfake. And that's only the start
At first glance, the video Ethan Mollick posted on LinkedIn last month looks and sounds like what you'd expect from a business professor at the University of Pennsylvania's Wharton School. Wearing a checked shirt, he's giving a talk about a topic he's deeply familiar with: entrepreneurship.
Sure, his delivery is stiff and his mouth moves a bit strangely. But if you didn't know him well, you probably wouldn't think twice.
But the video is not Ethan Mollick. It's a deepfake Mollick himself created, using artificial intelligence to generate his words, his voice and his moving image.
"It was mostly to see if I could, and then realizing that it's so much easier than I thought," Mollick said in an interview with NPR.
Like many who have been closely following the rapid acceleration in AI technology, Mollick is excited about the potential for these tools to change the way we work and help us be more creative.
But he's among a growing chorus of people worried that this proliferation of what's known as "generative AI" will supercharge propaganda and influence campaigns by bad actors.
Mollick teaches would-be entrepreneurs and executives about innovation. Lately he's gotten deeply into a new set of AI-powered tools that anyone can now use to create highly plausible images, text, audio and video — from chatbots like OpenAI's ChatGPT and Microsoft's Bing to image generators like DALL-E and Midjourney.
"I've stumbled into being a AI whisperer," Mollick said, laughing. He now requires his students to use AI and chronicles his own experiments on his social media feeds and newsletter.
I'm playing around with Bard and just like the other AI offerings so far they are hilariously bad at the simple logic needed to answer multi-variable questions. Bard has now stated and confirmed and doubled down that a 4 x 8 sheet of drywall has a volume of 48 cubic feet.
Me: If I wanted to know the volume of a sheet of drywall that was 4 feet wide, 8 feet tall, and one half inch thick, what should I do with the measurements to arrive at the correct answer?
Bard: There is no correct answer as a sheet of drywall does not have a volume.
*facepalm*
Edit: I am being trolled here:
Me: How tall is a stack of 12 sheets of drywall if laid flat on the ground?
Bard: The height of a stack of 12 sheets of drywall if laid flat on the ground is 0 inches. Sheets of drywall are not meant to be stacked flat on the ground. They are meant to be hung on a wall or ceiling.
Drawing characters exactly as described by ChatGPT.
ChatGPT is apparently remarkably bad at this, there’s a point for each character where the instructions are “now just add all the details.”
It is interesting to see how things are going over with Midjourney et al in comparison.
Like, they can do everything from the sketch to the fully rendered piece in almost any style, and yet its proponents seem to overwhelmingly churn out this particular hyper-realistic hyper-rendered style that just screams "AI art" once you can notice it.
Honestly, I think part of it is that the AI is incapable of replicating those very human little choices/mistakes that make a piece of art feel... well, "alive" isn't a great phrase to use, but it's the only one I have atm.
Nothing, Forever is back online, though it seems they’ve completely redesigned it to make it a wholly original show rather than a Seinfeld parody. Turns out the Seinfeld references were doing a lot of the heavy lifting as I find the new version just sort of boring.
Levi’s to Use AI-Generated Models to ‘Increase Diversity’
Fashion brand Levi Strauss & Co has announced a partnership with digital fashion studio Lalaland.ai to make custom artificial intelligence (AI) generated avatars in what it says will increase diversity among its models.
................
Levi Strauss says that it generally has one model for each of its products, but understands that buyers might want to shop for clothes with models that look more like them.
“We believe our models should reflect our consumers, which is why we’re continuing to diversify our human models in terms of size and body type, age and skin color,” the company says, but goes on to explain that working with real people isn’t enough to meet its goals.
If you were writing a cyberpunk satire, everyone would say "hiring a AI company to make 'diverse' models instead of just hiring more actual models" is way too on-the-nose.
You don’t have to pay the models or photographs if you use AI to generate. That’s the way all of this is going
Let's Talk About the Kanye Voice AI
Roberto Nickson, a creator that focuses on emerging tech, made a video over the weekend where he used an AI model of Kanye West’s voice to make a song that sounded a lot like West.
There’s a lot to not like about Nickson’s video. The lyrics were not good at all. He also used West’s voice to do a “shoutout” to Donda West, which, no matter what you think about West, is a legitimately gross thing to do. It’s also yet another video of someone using an AI to clone a black artist’s voice without their permission. Funny how that keeps happening, isn’t it? Nickson sort of addresses some of this in a followup video, though not in any meaningful way.
But one thing that Nickson mentions in his video is the idea that in the near-future musicians will have models trained on them that they can record with. This is a profoundly cynical vision of the future, which makes me think that’s absolutely going to happen (if it’s not happening already). But it’s also fairly in line with existing vocal processing technology, like Melodyne which already allows you to tune your voice to anything and tweak the timbre and key.
This is a good moment to mention something I keep running into with AI tools, which is the question of who is being “replaced” by them. AI evangelists, who are overwhelmingly white men from what I’ve seen on Twitter and YouTube, can’t seem to contain their excitement about using an AI to generate images of women or clone the voices of their favorite — predominately black — musicians. And there are hundreds of demos being uploaded to Twitter every day now with a different lightly-bearded guy in a minimalist home studio full of Apple products getting all revved up imagining a feature where they don’t have to pay artists, don’t have to interact with human women, and can wear the voice of their favorite rapper. And I think that says quite a bit about the values of the people who are most excited about this technological revolution at the moment.
Imagine a time traveler journeyed to various times and places throughout human history and showed soldiers and warriors of the periods what a “selfie” is.
This is the premise for a series of AI-generated images posted on r/midjourney. Below are a few examples of the images this prompt produced:
There are 18 images in the Reddit slideshow and they all feature the same recurring composition and facial expression. For some, this sequence of smiling faces elicits a sense of warmth and joyousness, comprising a visual narrative of some sort of shared humanity (so long as one pays no attention to the incongruousness of Spanish Conquistadors smiling happily next to Aztec warriors. Awkward.) But what immediately jumped out at me is that these AI-generated images were beaming a secret message hidden in plain sight. A steganographic deception within the pixels, perfectly legible to your brain yet without the conscious awareness that it’s being conned. Like other AI “hallucinations,” these algorithmic extrusions were telling a made up story with a straight face — or, as the story turns out, with a lying smile.
Why do you smile the way you do? A silly question, of course, since it’s only “natural” to smile the way you do, isn’t it? It’s common sense. How else would someone smile?
As a person who was not born in the U.S., who immigrated here from the former Soviet Union, as I did, this question is not so simple. In 2006, as part of her Ph.D. dissertation, “The Phenomenon of the Smile in Russian, British and American Cultures,” Maria Arapova, a professor of Russian language and cross-cultural studies at Lomonosov Moscow State University, asked 130 university students from the U.S., Europe, and Russia to imagine they had just made eye contact with a stranger in a public place — at the bus stop, near an elevator, on the subway, etc.
Which, she asked the participants, would you do next?
A) smile and then look away
B) look away
C) gaze at his eyes, then look away90% of Americans and Europeans chose the option with a smile in it. Only 15% of Russians did.
Pausing AI Developments Isn't Enough. We Need to Shut it All Down
The tl;dr version of this can be found in the headline image for this thread.
An open letter published today calls for “all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.”
This 6-month moratorium would be better than no moratorium. I have respect for everyone who stepped up and signed it. It’s an improvement on the margin.
I refrained from signing because I think the letter is understating the seriousness of the situation and asking for too little to solve it.
The key issue is not “human-competitive” intelligence (as the open letter puts it); it’s what happens after AI gets to smarter-than-human intelligence. Key thresholds there may not be obvious, we definitely can’t calculate in advance what happens when, and it currently seems imaginable that a research lab would cross critical lines without noticing.
Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in “maybe possibly some remote chance,” but as in “that is the obvious thing that would happen.” It’s not that you can’t, in principle, survive creating something much smarter than you; it’s that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers.
Without that precision and preparation, the most likely outcome is AI that does not do what we want, and does not care for us nor for sentient life in general. That kind of caring is something that could in principle be imbued into an AI but we are not ready and do not currently know how.
Absent that caring, we get “the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else.”
“the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else.”
Boy howdy, do I have some bad news for you.
Isn't that the guy who famously freaked out at the idea of Roko's Basilisk? I suppose the idea of accelerated AI development would worry him a fair bit.
Pages