What Runway Gen-3 and Luma Say About the State of AI

Today on the AI Daily Brief, a look at AI video generation and what the release of Runway, Gen 3, Luma and Cling in the last few weeks says about the broader state of AI development. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, visit the Discord link in our show Notes. Welcome back to the AI Daily Brief Headlines edition. All the daily AI headline news you need in around five minutes. Today we kick off with a warning from the International Monetary Fund over the potential that AI will increase inequality. This is from a new report from the IMF published Monday, June 17 that basically said that the IMF had what they called profound concerns about significant labor disruptions and rising inequality. What's more, it pointed out that unlike previous disruptive technologies, AI was coming not just for blue collar jobs but for higher skilled occupations as well. While acknowledging that generative AI held significant potential to boost productivity and even advance the delivery of public services, it was also, they believed, going to cause some big problems. So what were these suggested remediations? Some of them were things like improving unemployment insurance, but a big focus was on policies around education and training from the Financial Times. In its report, the IMF said that policies on education and training needed to adapt to new realities to help prepare workers for a rapidly changing job market in the future with a greater focus on offering lifelong learning, sector based training, apprenticeships and reskilling programs could play a greater role in helping workers with the transition to new tasks and sectors, said Era Dablanoris, deputy director of the IMF's fiscal affairs department and co author of the report. Quote, the transition could be painful for workers and older workers may not have the skills that are needed in the age of AI and it may require more time than in the past to acquire those new skills. We want people to be able to benefit more broadly from the potential that this technology holds and and we want to ensure that there are opportunities created for people. Obviously it will come as a surprise to none of you given the fact that I've chosen to spend all my time on super Intelligent, a scalable platform to help educate the world on how to use AI that I also think that a big part of the answer to this question is in education. Next up, we move over to NATO. Something you might not know is that NATO has a $1.1 billion innovation fund, the NIF. This fund was unveiled back in summer 2022, a couple months after the Russian invasion of Ukraine. One of the stated goals of the fund was to invest in technologies that could enhance NATO's defenses. The fund is currently backed by 24 of NATO's 32 member states. Earlier today, on Tuesday, June 18, the NATO Innovation Fund announced that it had invested in four European tech companies, including Fractal, which Reuters described as a London based computer chip maker aiming to make LLMs like those that power ChatGPT run faster Germany's ARX Robotics, which is an unmanned robotics company icomat, which makes lighter materials for vehicles and and Space Forge, a company that uses specific conditions of space, including microgravity and vacuum conditions, to build semiconductors in orbit. So there you have it. One of the biggest military alliances in the world is officially investing in AI. Speaking of interesting collaborations, OpenAI has continued to expand its footprint in the healthcare space, teaming up with Color Health on a new cancer co pilot. Color was founded as a genetics testing company back in 2013 and has developed an AI assistant using the GPT4O model, according to the Wall Street Journal. Quote the co pilot helps doctors create cancer screening plans as well as pre treatment plans for people who have been diagnosed with cancer, said Othman Laraki, the co founder and CEO of Color. The co pilot is intended to assist doctors, not replace them. Indeed, the use of that term, copilot, is meant to reference engineering co pilots that are augmenting software engineers rather than replacing them. This is not the first time that OpenAI has done a deal with a company in the health space. Back in April, for example, they announced a deal with Moderna where that company would use AI to speed up business processes such as selecting optimal doses for clinical trials. And Brad Lightcap, OpenAI COO, said we see a perfect fit for AI technology because they can help bring relevant information to the surface faster. They can give clinicians more tools to understand medical records, to understand data, to understand labs and diagnostics. We spent a lot of time on this show and in the media in general talking about the impact of AI on creative industries entertainment. But in more heavy science based industries, there is a ton of interest and excitement happening there that could lead to some incredible benefits from artificial intelligence. Finally, just to make it clear once again how hot the AI agent or AI assistant space is, you.com is raising $50 million to get into that space. You.com had previously been positioned as an AI infused search engine, but as all search engines have started to AI ify themselves, they started to move more directly in this AI assistant space, Reuters writes. U.com's 11 million visitors in May reflected a year to date rise in web traffic but the number was still below its 20 million peak in February 2023. Its app downloads have decreased an estimated 69% so far in 2024. Against this backdrop, the company has morphed U.com into an AI assistant, one that is focused on productivity as well as Internet search. Lots and lots of activity in this AI assistant space, but also tons of competition, something we will continue to keep an eye on here at the AI Daily Brief. However, for now, that is going to do it for the headlines. Up next, the main episode A quick note before we get back to the show. Today's episode is brought to you by Super Intelligent super is of course the platform that we built and released a couple months ago to help people learn how to use AI. It's built around fun, fast tutorials that get you actually using AI in minutes, not hours, and certainly not days. The learning all happens in the context of an engaged community and we've got a bunch of exciting features rolling out in the weeks to come. One of those is a new teams version of the platform, which includes a custom curated playlist as well as a showcase where people on your team can share their use cases and projects in AI across the organization. If you are interested in being a part of the super for Teams beta, go to BeSuper AI partner so you can learn about the program. Welcome back to the AI Daily Brief. There has been a ton of activity over the last few weeks in the AI video space and I want to use this episode as a way to not only catch you up on what's been happening there, but also to use it as a way to ground our sense of where we are in AI development more broadly. And for that I think we have to go back to about 15 months ago. You may remember in late March of last year when AI generated videos of Will Smith eating spaghetti first started hitting the Internet. This was right around the time of the six month pause letter. It was right as the AI safety narrative was starting to take hold in mainstream media. And it was certainly still in a period where people were being dismissive of AI because the weirdness in its generations, the weird extra fingers, strange extraneous body parts happening with no apparent connection to anything else going on. And these videos were sort of Exhibit A and all that. They were at once disturbing and also weirdly compelling and people just watched them on repeat. However, for our purposes they matter much more as a way marker of where things were, given the advances we've seen since then. At the end of last year, our friends over at Leighton Space published something that they called the four wars of the AI stack. These were basically the big sets of questions they saw as being unanswered and for which the answers had a major impact on how the AI field was likely to develop. One of those wars was what they called the multimodality war, Specialist models versus Everything models. So on the one hand you had specialist models, text to image startups like midjourney, text to audio startups, et cetera, versus the everything models that companies like OpenAI and Google DeepMind were pursuing. And at the time that this came out, and we were first talking about it on this show, I think for as advanced as the everything models were, there was still a sense that those specialist models really could remain differentiated. Specifically, I think a lot of people felt that midjourney was still ahead, for example, of OpenAI's Dall E3, even if Dall E3 had made some advances like being better with text. But then in February, OpenAI released the first generations with its video model called Sora. Just less than a year from when we saw those Will Smith eating spaghetti examples, we got these hyper photorealistic generations that absolutely blew people away. There was the famous woman walking through a Tokyo street, woolly mammoths running through snow, a wide panning shot of a lighthouse on what looks like the California coast. And then there were examples like the pirate ship swirling around in what appears to be a cup of coffee with which showed just how much better this model seemed to understand physics. For many people, the release of Sora was a moment that absolutely reignited our sense of the unfettered possibilities of AI generation. The problem was that Sora hasn't really been widely available. Sure, OpenAI has done a lot of sharing of Sora with very select artists, creators, and they've been clearly making a pitch towards Hollywood and the traditional film and entertainment industry, but it hasn't been available broadly to the public. The same is true for Google Veo, which was their answer to Sora shown off a couple months later, which also was limited in its distribution. So the situation we've been in for the last couple months is one in which the state of the art when it comes to video generation has not been widely available. The last few weeks though, have seen some major moves in that area. Fast forward to yesterday, Monday, and Runway became the third AI video company in a matter of three weeks to release their latest model. Runways was called Gen3 Alpha. The announcement post on Twitter reads, Gen3 Alpha can create highly detailed video with complex scene changes, a wide range of cinematic choices and detailed art directions. Runway continues Gen3 Alpha is the first of an upcoming series of models trained by Runway on a new infrastructure built for large scale multimodal training and represents a significant step towards our goal of building general world models. Gen 3 Alpha was trained on both videos and images and powers Runway's text to video, Image to video and text to image tools. Apparently Runway has also been collaborating with entertainment companies thinking about the obvious applications of this technology and while it wasn't available immediately upon announcement they said that it would be rolling out to everyone over the coming days. The early impressions of Gen3 definitely felt that it represented a significant realism upgrade, and in addition to the fidelity of the actual generations, they also promised more fine grained control. The Runway website reads. Gen 3 Alpha has been trained with highly descriptive, temporally dense captions enabling imaginative transitions and precise keyframing of elements in the scene. Almost immediately people started doing their threads of the most impressive generations, although initially many of them did come from the Runway team itself and there were some interesting notes as well. While a lot of folks were focused on the increase in the realism enabled by the new model, others like habitualization on Twitter who does support at Runway tweeted a very weird stylized video and said hyperrealism is sick, but I am unfortunately someone who will die on the hill of avant garde experimentalism and thus spent a while making surreal, grainy, NOISY craziness in Runway's new gen 3 model to great success, and then shared a set of five examples of these distinctly non realistic generations. Tom's Guide went a little bit farther in explaining what Runway means when it says that its end goal is general world models. They describe them as, quote, an AI system that can build an internal representation of an environment and use it to simulate events inside that environment. Tom's Guide also noted that quote, each video is about 10 seconds long, which is about twice as long as Illuma Default and of a similar length to Sora videos. It is also nearly three times the length of the current Runway Gen 2 videos. Andrew Curran also mentioned Luma, saying Luma has started the avalanche. What he means is that last week Luma Labs absolutely dominated the AI Twitter conversation with their release of Dream Machine. Dream Machine came out last week and while it wasn't nearly on the same level for most as the realism in something like Sora, the fact that it was widely available made all the difference in the world. One of the first use cases that popped off online was was people animating classic memes. Even Andrej Karpathy, formerly of OpenAI and Tesla said, wow, the new model from Luma Labs, extending images into videos is really something else. I understood intuitively that this would become possible very soon, but it's still something else to see and think through. Future iterations of it should be noted though that really when it comes to what started this flood, it wasn't Luma Labs but was actually from Chinese company Kwai. Kwai is basically a TikTok competitor with 400 million plus daily users and when Cling was released it was it was immediately available right then and there. Kling was good enough that some folks like Dede at Menlo Ventures said China might be surpassing the US at AI. Now of course one of the big questions for folks with all this is whether OpenAI would actually respond and get Sora out to the public. Matt Wolf writes, maybe we'll see Sora soon amongst all this competition popping up. When we do, will people still be excited by it? Then again, as Dogan Ural writes, the leap of Sora was so big that it feels like nothing surprises me anymore. Anyone else feel this way? AI and Design, however, responded the surprise lies with the fact that while OpenAI has been dicking around pandering to Hollywood, other players have achieved comparable quality and are making it available to the public in four months. That's the pleasant surprise. It's clear that the race is on. In fact, Even as Runway Gen 3 was announcing itself, Luma Labs was talking about what was coming next. They tweeted coming soon to Dream Machine, powerful editability and intuitive controls. They shared a video of a new editing suite that allows for much more fine grained precision editing when it comes to these video generations, which is something that hasn't been widely available yet. They also released something called Extend Video which they said is aware of what's happening in your video and extends it in a consistent way to follow instructions. It's clear that as many advantages as the big companies have, the smaller startups in this space have some advantages as well. Dan K, formerly of Google, responded to someone who was tweeting about Luma. Now you know why I left Google to join Luma. I was in the team that developed VEO early on, but knew it would never be shipped to the masses for quite a long time. Same as Sora. Not until a company like Luma forces their hand, that is. For me. It's hard to look back 15 months ago at Will Smith eating spaghetti to see this variety of models that have come to fruition in the last three weeks and take seriously any of these claims that have started to float around that AI is somehow plateauing or slowing down. The speed of evolution is unbelievable and is going to come with changes that we can't even imagine yet, Investor Jared Hecht writes. Given the pace at which Luma, Sora and Kling are emerging and improving, this may be the final generation of the global movie star. There is a future where Hollywood quality film can be created by anyone with an idea, computer and Internet connection. Who knows how this will all go down, but right now it is an absolutely flowering moment for AI video generation and that's pretty cool to see. Quick shout out if you're interested in learning more about how to use these tools, even if you haven't signed up for Super Intelligent yet. At Besuper AI, we did just release one of our Luma tutorials for free on our YouTube channel. You can find that at YouTube.com@bsuperai. I'll also include a link in the show notes, but for now that is going to do it for this AI Daily Brief. Until next time. Peace.