Podcasts about firefly ai

On this episode of After Earnings, Ann Berry sits down with Adobe CFO Dan Durn to unpack the company's strategy as free generative AI tools flood the market. Adobe is expanding its focus beyond professional creatives to attract everyday users and businesses, with Firefly AI now integrated into its core products, enabling features like text-to-video and automated image enhancements. The company kicked off 2025 with $5.7 billion in Q1 revenue, up 10% from last year, and nearly $2.5 billion in operating cash flow. Still, the market is questioning whether $125 million in revenue from AI-powered tools is enough, as Adobe's stock remains down more than 22% over the past year. $ADBE 00:00 START 02:32 Adobe's Cloud Services Explained 04:38 Competing in the AI Landscape 08:46 Adobe's Innovation and Market Position 11:11 Customer Trust and IP Protection 13:18 Future Outlook and Market Confidence 16:17 Rapid Fire Questions After Earnings is brought to you by Stakeholder Labs and Morning Brew. For more go to http://www.afterearnings.com Follow Us X: / afterearnings TikTok: / afterearnings Instagram: / afterearnings_ Episodes Spotify: https://open.spotify.com/show/5I5q3LI... Apple: https://podcasts.apple.com/us/podcast... Reach Out Email: afterearnings@morningbrew.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Today in AI is a daily recap of the latest news and developments in the AI industry. See your story and want to be featured in an upcoming episode? Reach out at tonyphoang.com Baidu is preparing to launch Ernie 5.0, an advanced AI model with enhanced multimodal capabilities, to bolster its competitive stance against other Chinese tech giants such as Alibaba and ByteDance. This initiative is designed to integrate AI into practical applications, thereby driving revenue and expanding Baidu's market presence amidst fierce competition and rapid technological progress. Latent Labs, founded by former Google DeepMind scientist Simon Kohl, is set to revolutionize drug discovery and disease understanding by developing AI models that make biology programmable. With $50 million in funding, the startup plans to collaborate with biotech and pharmaceutical companies to generate and optimize proteins, potentially transforming the biotech industry. The legal industry is undergoing significant changes with the integration of AI technologies, which are enhancing efficiency and reducing costs. SpotDraft, a prominent startup in legal tech, uses AI to automate contract management, attracting substantial investment and establishing itself as a market leader. Meanwhile, Hill Dickinson has imposed restrictions on AI tool usage, requiring staff to seek approval, highlighting the ongoing debate between leveraging technological advancements and ensuring regulatory compliance, especially concerning data privacy and security. OpenAI has announced the integration of its planned o3 model into the upcoming GPT-5, aiming to streamline its product offerings and improve user accessibility. This strategic move will incorporate advanced reasoning capabilities and optimize computational resources, making AI technology more affordable and accessible. Additionally, OpenAI plans to introduce a tiered subscription model to cater to various user needs. Adobe is launching a standalone subscription service for its Firefly AI models, which offer AI-powered image, vector, and video generation tools. This initiative aims to commercialize Adobe's generative AI capabilities while ensuring legal safety and transparency for creative professionals. AI integration in healthcare is advancing rapidly through significant collaborations such as those between AWS and General Catalyst, and innovative startups like HDmall in Southeast Asia. These partnerships utilize powerful cloud infrastructure and AI technology to address industry challenges, improve patient outcomes, and transform healthcare delivery in both developed and emerging markets.

Chris Duffey is a leading figure in technological futurism and creative growth strategies, spearheading Adobe's Global Partnerships for GenAI Solutions. In this conversation, we explore: Adobe Firefly and its impact on creative workflows Ethical AI, authenticity, and traceability in AI-powered tools The evolving roles of product and marketing teams Predictions for the metaverse and mixed reality Insights from co-authoring a book with AI EPISODE LINKS: Chris Duffey LinkedIn: https://www.linkedin.com/in/chrisduffey/ Chris Duffey Book - Superhuman Innovation: https://www.amazon.com/Superhuman-Innovation-Co-Creating-Artificial-Intelligence/dp/1504170552 TIMESTAMPS: 00:00:00 Intro and Background 00:00:10 Adobe and AI 00:02:53 Adobe Firefly and Generative AI 00:04:50 End-to-End Workflow Transformation 00:06:42 Agentic Workflows and Multi-Agent Architectures 00:08:17 Gen AI vs Image Generation AI 00:13:10 Ethical AI and Creator Economy 00:17:16 The Future of Mixed Reality and AI 00:33:05 Chris Duffey's Book: Superhuman Innovation 00:36:13 Closing CONNECT: Website: https://hoo.be/elijahmurray YouTube: https://www.youtube.com/@elijahmurray Twitter: https://twitter.com/elijahmurray Instagram: https://www.instagram.com/elijahmurray LinkedIn: https://www.linkedin.com/in/elijahmurray/ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-long-game-w-elijah-murray/ Spotify: https://podcasters.spotify.com/pod/show/elijahmurray RSS: https://anchor.fm/s/3e31c0c/podcast/rss

In this week's episode, we take a look at the best methods for finding ad graphics for book advertising. TRANSCRIPT 00:00:00 Introduction and Writing Updates Hello, everyone. Welcome to Episode 224 of The Pulp Writer Show. My name is Jonathan Moeller. Today is October 25th, 2024 and today we are discussing the best methods for sourcing images for ad graphics. We'll also have an update on my current writing and audiobook projects. Let's go right to that. I am currently 61,000 words into Cloak of Illusion and am hoping to have that out before the end of November, since 61,000 words puts me about halfway through the rough draft, I think. I'm also 14,000 words into Orc Hoard, which will be the 4th Rivah book, and if all goes well, the final book I publish in 2024. In audiobook news, recording is underway for Shield of Conquest. That will be excellently narrated by Brad Wills, and it's also underway for Cloak of Spears and Ghost in the Tombs, which will be narrated by Hollis McCarthy. I think probably Cloak of Spears will come out first, but we will see how things play out for the rest of the month. So that's it. That is the update on my current writing project. Next month and next week, I want to do a new podcast series for the month of November that I'm going to call Moeller Writing Tips Month as sort of a gentler alternative to National Novel Writing Month (or NaNoWriMo) for a couple of reasons. The NaNoWriMo organization has had a number of problems over the years, especially recently, so I don't feel comfortable endorsing it anymore. I've also begun to wonder if NaNoWriMo is a bit like a shock diet. If you talk to doctors and other medical experts about weight loss, they say the best way is always to make small, sustainable changes that you can keep up with over time. It's better to lose like a pound a month and keep it off than it is to lose like, 5 or 10 pounds a month in a shock crash diet only to gain it all back once you go back to your own old habits because that kind of a weighty yoyoing is very hard on the body. I wonder if National Novel Writing Month, where you write 50,000 words in a month is like that for a lot of people; it's sort of a crash diet. For someone like me, Ghost in the Tombs was my 156th novel. I typically can write a rough draft or novel in a month if I don't have anything else come up. So for me, that's normal, but for most people who don't have that kind of experience, I wonder if National Novel Writing Month would be the sort of writing equivalent of those crash diets that might leave you worse off than you were to begin with. So with that in mind, next month I'll start a podcast series discussing gentler ways one can ease into the regular habit of writing. More discussion on that topic next week and next month.   00:02:45 Main Topic: Sourcing Ad Graphics Now onto our main topic for the week, sourcing ad graphics. Before we get into that, a disclaimer. I am not a lawyer and none of what I'm about to say is actual legal advice. You obtain actual legal advice by hiring a lawyer who is qualified to practice in your jurisdiction. It is very important (to continue the disclaimer) to be on firm footing with the copyright of your ad image. If you don't own the image or the right license to use it, you're infringing on someone's copyright and they can respond either legally or through the places where your book is sold. This is less of a problem with ad images than is with book covers, but it still can happen. With that in mind, some of the free stock images sites have restrictions on commercial use or modification of the images. It's a good idea to read the licenses carefully. Some of these sites have often not gotten the appropriate clearances from the models in the pictures, so be cautious of using images with identifiable faces from those types of sites. If you're not familiar with the legal term, a model release is when a model or someone in a stock photograph appears in the stock photograph. They sign a release that gives the rights for their likeness to be used for the commercial image and not all free stock image sites do that. Good stock image sites like Shutterstock or iStock Photo or Dreamstime will clearly state on the image page whether or not a model release has been included. If a model release has not been included, you can't use it for commercial purposes, and though it is not terribly likely, you can open yourself up to legal liability that way. In that vein, be also cautious about Creative Commons sites, since copyrighted work frequently ends up on those sites. This is also true of the free stock image sites, where sometimes people will pirate images and post them there. Also, many Creative Commons photos are restricted from commercial use, modification, and/or the artists require attribution. Tread carefully and make sure you understand the conditions of using images with any of the various Creative Commons licenses. And before we get into further details, it's also important to understand the difference between creating book covers and creating ad images. The number one thing to remember about ad images is that ads are ephemeral, and they should change often because you often get diminishing returns for using the same ad graphics. Ads can be tailored for different audiences. Ads can be tailored for different platforms. In fact, you kind of have to tailor ads for different platforms because, for example, Bookbub and Facebook, the two ad platforms where indie authors are most likely to use ad graphics, have very different requirements for images. People are more tolerant of AI images in ads than in book covers, but AI is very polarizing, and if you use an ad image that is easily and immediately identifiable as AI, you will probably get some pushback for that. So with all that in mind, let's first look at some free places to get images for ads and then some paid options. The number one free option is public domain images from the US government pages. It is the law of the land in the United States that images produced by the US government or federal employees in the course of their duties (with some exceptions) are in the public domain. Some of these are great as using as backgrounds or components of an ad. For example, are you a sci-fi author in need of a planet you can put behind a spaceship? You're in luck; NASA has plenty of those images and you can find them quite easily. However, sometimes U.S. government websites use stock images or government created images that have some types of restrictions. For example, NASA forbids use of images of current astronauts for commercial purposes for any reason and has some pretty strong feelings about people using their images to create NFTs. You do not want to go through life getting sued by the federal government, so you probably want to avoid that. Sources that are easiest to be confident in, images that are explicitly included in public domain collections on U.S. government websites such as the Library of Congress free to use and reuse sets website or NASA's Images Hub (this page also includes some guidance on NASA specific researchers) and the National Gallery of Art Open Access Images page. All of these have ample supplies of images that are in the public domain, and you can look over them for images you can use for ads or components of ads. Another free option is other public domain collections. Some libraries and some museums have created public domain image collections or let you filter for public domain images on their site. Very large institutions tend to be cautious about using this type of copyright language and their staff generally have training on what is or is not public domain. The Art Institute of Chicago has a public domain filter on their search page and The Met museum in New York has an Open Access filter in their search page where you can look for images in the public domain. The third free option and one that I have done myself a lot is take your own photos and use your own photographs for backgrounds components in an ad, etcetera. Since you're the creator, you hold the copyright. I have done this in a lot of the books I have published in 2024 and the ad images I created in 2024. A fair bit of them have my own photos because I took some trips to some fairly scenic parts of the country this year. I was fortunate enough to be able to do that, so while I was there, I took lots of pictures with an eye towards using them in ad images and book covers because as you get more practice with graphic design, your projects tend to have more layers to them. You often come across things and think well, this wouldn't be a good image by itself but would be a great background or great foreground and I can use pieces of it to assemble a better picture. So I've done that a fair bit and since I own the rights to all the photographs, I am one hundred percent in the clear. Now let's move on to a few free or low-cost options and one that might be a bit controversial. In fact, it is controversial: AI generated images. The pros of this are that the US government has consistently ruled so far (this might change after the election, but it might not) is that AI images cannot be copyrighted in any capacity. This means you can quickly make eye-catching art that matches your specifications instead of hunting for stock art. The con is that many people will assume that the book is AI generated if they see an AI generated ad image and many people strongly dislike AI art in general, or object to AI art on principle, viewing it as a form of theft. For myself, I've decided that my personal ethical line on this (barring changes in circumstances or laws) is that I will not sell anything that was created by AI. If I am selling anything or giving away a free ebook, it is 100% written by me and the cover was either made by me or someone I hired to do it. And in the audio books I sell, they are 100% narrated by an actual human being. That said, I have, I'd say, from time to time, used AI for ad images for the reasons we've discussed. Ads are ephemeral and phased out pretty quickly, but I have found that it's generally unwise to use an unmodified AI image, because it has such a very clear and obvious AI look to it. It's a good idea if you are going to use an AI image for an ad to run it through Photoshop a bit and change the look and maybe eliminate some of the more obvious AI tells such as extra fingers or misshapen eyes, that kind of thing. So if you are comfortable using AI, it can be a good source of ad images with some work, but otherwise, if you're not comfortable with it and you think your audience would be offended by it, it's probably best to avoid it. So those are the free/slightly free options, and now it's time to move on to the official paid options. The first paid option we're going to discuss is Shutterstock. You pay by image. It's simpler than the credit systems that Dreamstime uses, and the interface is easy to use. I have not generally used Shutterstock all that much because it tends to be a bit more expensive than the other options. However, you can find some very high-quality photos there if you are patient enough to look. The second paid option we're going to look at is Dreamstime. You can either pay images a la carte with credits you buy or by subscription. I have used Dreamstime quite a bit and quite a few of my covers have images I have licensed from Dreamtime. I'd say the pros of Dreamstime is that it has a very large and very strong library. The con (and this is true of stock photo sites in general) is that it's very easy to find an image that is like 95% perfect, but that 5% would be a lot of work to fix in Photoshop or just isn't right for some reason. Additionally, I don't agree with this decision on Dreamstime where they've begun including a lot of AI generated stuff on their page. It's clearly labeled as AI and you can use filters in the search engine to filter out the AI stuff, but if you're looking for stuff for covers because like I've said before, my personal ethical line (barring changes in law) is that I won't sell anything that was made by AI. If I'm looking for elements for a cover, it's really annoying to have to double check to make sure that the image was not AI generated, which is another good reason to use your own photos because you can then be certain it wasn't AI generated. The final paid option that many authors and many professional graphic designers use is Adobe Stock. Adobe Stock is probably the gold standard for stock photos. It has a large library with a range of image types and very clear license terms. The flip side is it's expensive. You can often include it with an Adobe subscription (which is in itself quite expensive) and then you get a limited number of image credits every month and that can be quickly expensive. If you have an Adobe subscription, you can also use Adobe's Firefly AI image generating service. It's not quite as powerful as Midjourney or some of the other ones available, but that said, it is trained only on stuff that Adobe technically has the legal rights to do. In my experiments with it, I found that Adobe Firefly's AI generator is not good at generating scenes. It is good at generating components of scenes, like you could tell it to generate a forest or a beach or a mountain, or a castle or something, and that'd be pretty good. Then you can modify it and add in other elements later, but it's not so good at generating a finished scenes the way that something like Midjourney would be. Now that we've looked at sources for stock images, let's look at a couple of paid sites that can help you use the ad images you have found. Obviously, you can work on them in Photoshop or GIMP or Affinity Photo editor, but those are fairly complicated programs that can take quite a bit of effort to learn. There are websites that now specialize in helping you to create specific ad graphics. I'd say the most valuable one for indie authors is Book Brush. It is a specialized image editing website designed for indie authors. It lets you make things like 3D covers of your books or audiobooks to include as part of an ad, and it also has a variety of ad templates, where you will have ad templates that are the right size and resolution for the various ad platforms, and then you can drop in the elements you need to make an appropriate ad graphic. So if you're an indie author who just wants to make ad graphics or maybe even some basic covers, Book Brush would be well worth your time to investigate, in my opinion. A second option would be Canva Pro. Amazon has explicitly said in their guidelines they don't like people using it for book covers, but ads are a different game and Canva is reliable for this purpose. It's good for beginners and those starting out. It's quick and easy to reuse. The downside is that since Canva is so popular, people have gotten used to the Canva look and you get bored with seeing those, especially if you've only minimally modified a template, but with some creativity, you can make an ad graphic that looks fairly nice. So that is it for this week. I hope you will find that helpful for finding sources for your ad graphics. Thanks for listening to The Pulp Writer Show. I hope you found the show useful. A reminder that you that you can listen to all the back episodes on https://thepulpwritershow.com. If you enjoyed the podcast, please leave your review on your podcasting platform of choice. Stay safe and stay healthy and see you all next week.

In this episode, our guest is an expert on AI and Amazon Science papers. He'll talk about Rufus, COSMO, Project Amelia, and all other AI advancements from the Amazon side and beyond. ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On Youtube: youtube.com/@Helium10/videos Join us for an engaging discussion with Kevin Dolan from Pacvue AI Labs as we explore the cutting-edge advancements in AI and Amazon's pivotal role in shaping this dynamic landscape. We'll unravel the mysteries behind intriguing names like Rufus, COSMO, and  Project Amelia, representing Amazon's ongoing AI initiatives. Kevin shares his expertise on the evolution of AI from its early conceptual roots in the 80s to the transformative impact of transformer models around 2019, which paved the way for groundbreaking applications like ChatGPT. Discover how Amazon's increased investment in AI research is manifesting in published papers and sophisticated models that are revolutionizing customer interactions. We also explore Amazon's integration of AI in tools for sellers, highlighting the launch of advertising AI that optimizes campaigns with precision. The potential of AI in enhancing tools like Helium 10's Adtomic and Cerebro for more efficient Amazon PPC campaigns and keyword filtering is discussed, along with the impact of Amazon's Rufus on the shopping experience. While Rufus aims to improve customer interactions, we critically assess its current limitations and ponder its potential to shift some search activities directly to Amazon from platforms like Google and Pinterest. Additionally, we dive into Amazon's transition from lexical to semantic search, emphasizing the importance for sellers to align their product listings with customer needs for visibility and success in an AI-driven environment. Lastly, we examine AI-driven tools like Project Amelia in Amazon's Seller Central and their potential impact on brands and sellers. While chat-oriented interfaces may translate vague intentions into useful actions, skepticism remains regarding their revolutionary potential. We emphasize the importance of exploring third-party tools like Helium 10 for added value and addressing the hype surrounding changes in seller practices, reassuring listeners that successful strategies remain largely unchanged. Kevin's insights and our conversation shed light on the future of AI in e-commerce, leaving us excited for what's to come in this rapidly evolving field. In episode 606 of the Serious Sellers Podcast, Bradley and Kevin discuss: 00:00 - Advancements in AI and Amazon Science 00:41 - Decoding the Amazon COSMO Algorithm 08:42 - AI Model Cost Efficiency Advancements 09:48 - Amazon's AI Innovations and Rufus 14:59 - Implementing AI Chatbots Inside Online Marketplaces 20:29 - Enhancing Amazon's Semantic Search Capabilities 21:12 - Leveraging Rufus and COSMO for Selling Success 26:59 - Impact of Science on Amazon Practices 28:10 - Enhancing Amazon's Product Understanding With AI 30:01 - Customer Preferences for Pregnant Women 35:22 - Amazon's Data and Product Listings 37:30 - Amazon's Project Amelia in Seller Central 38:42 - Amazon's AI Recommendations for Sellers   Transcript: Bradley Sutton: Today we talk to the person who knows more about AI and Amazon science papers than maybe anyone else in the world, and he's going to talk about all things Rufus, COSMO, Amelia and all other AI advancements from the Amazon side and beyond. How cool is that? Pretty cool, I think. Hello everybody, and welcome to another episode of the Series Sellers Podcast by Helium 10. I'm your host, Bradley Sutton, and this is the show that's completely BS-free, unscripted and unrehearsed organic conversation about serious strategies for serious sellers of any level in the e-commerce world.   Bradley Sutton: I'm not exactly 100% sure what I'm titling this episode, but I might have done something kind of clickbaity and say something. There is no such thing as the COSMO algorithm or something to get people to click on this. But let me just quickly explain that. Now. I don't mean that there's no such thing as Cosmo. There's a lot of documents out there from Amazon that talk about it, but there's nothing that says, hey, Cosmo is the new A9 algorithm, or there's nothing official from Amazon that says, hey, Cosmo is now in full effect across 75% of searches, or anything like that.   Contrast that with all the articles from Amazon that talk about Rufus. I mean, Rufus is a thing you can actually see in everything. So I just wanted to do a clickbaity title like that and we'll definitely get into Cosmo and things like that later. But I've got back on the show probably one of the persons who's the highest expert in the world as far as AI and also what Amazon has been doing as far as on the AI front, and that's Kevin from our own Pacvue AI Labs. That's why I'm wearing this. It's actually a Brazilian soccer team, Palmeiras, I think.   Bradley Sutton: I wanted to get something with a P on it. Yeah there you go.   Bradley Sutton: I have a Padres P hat too, but since I'm a Dodgers fan, it hurts every time I even wear that hat. So I was like, no, I'm not going to do it, considering the times that we're in right now. But anyways, Kevin, welcome back. It's been a little over a year since you've been on the show.   Kevin Dolan: Yeah, thanks for having me back. Last year was a lot of fun and we've been seeing a lot of things happen in the last year in AI, especially around Amazon's implementations of AI, so excited to talk about those updates.   Bradley Sutton: Cool. Now let's just talk about AI in general, general. You know, like AI is kind of like, I guess, like about two years, I mean, people have been talking about AI for years but as far as the, the more recent trendy version of the topic, AI, um, it's really been, you know, like you know, ChatGPT and things like that over the last couple of years. And let's just talk about what's happened in general over the last year. You know the improvement   Kevin Dolan: Okay, sure, yeah, I mean, like you said, AI has been around forever. We've been using the term at least since the 80 s in terms of technologies that we can actually use for actual production purposes. As we're using the term today, its meaning has shifted to largely refer to this current generation of models that we're seeing. That began in around 2019 with the introduction of what was called the Transformers model. This led eventually to a variant of that model called Large Language Models, popularized by Open AI's ChatGPT, and we've been seeing a sort of explosion in AI technology and investment into hardware, investment into research as a result of some of these findings. That has become sort of the current modern label of what is AI. We're talking primarily about transformer-based models that perform language or other modalities, including image generation, and we're talking about basically whatever is that front line of research that's happening right now. So you see this explosion happen with the release of the paper around 2018, 2019. And then you see the proliferation of training hardware that led to innovations like ChachGPT, where we're starting to see these emergent behaviors, where these models do start to exhibit something that you can really call intelligence. These models do start to exhibit something that you can really call intelligence.   I came on here last year to talk about all of the different papers I had read from the prior four to five years at Amazon Research. You can tell, when you look at the number of papers that Amazon is releasing, that around that time around 2021, 2022, they started to invest a lot more in their research department. When they started releasing papers in Amazon Science in 2018, there were five papers about search. The following year, in 2019, there were 18. By 2021, there were 40. And then the next year there were almost 70 papers. That seems to have leveled off at this point. We saw about 70 papers last year and so far in this year we've seen about 60 papers. So we're probably going to end up in the same realm.   So the number of papers that Amazon is releasing isn't really changing. What is changing is the complexity of the models that they're using is much more sophisticated and they're being targeted for much more practical use cases. You're seeing larger A-B tests where they're being run on material percentages of traffic on Amazon. You're seeing Amazon release actual AI features that are customer-facing, like Rufus, and we're seeing investments in hardware that make some of these models that used to be impossible to run in production now very conceivable. So I think we are seeing confirmation that Amazon is taking these technologies seriously. They're implementing it in production and it is starting to impact customer behaviors.   Bradley Sutton: What about non-Amazon AI Like what you know? ChatGPT, imagery you? Know, like a couple of years ago it was just hallucinating nonstop, and then last year a little bit better. You know images. You could not create humans, you know, or products in there without seven fingers and stuff in the general world of AI. How has that come along in the last year?   Kevin Dolan: Yeah, so I mean we are seeing continued investments in research and continued improvements on these models. The transfer model really revolutionized things, but the initial results that we were seeing out of those transformer models were a little disappointing. For the first time, we were starting to see computers understand language, computers being able to generate images, and our initial reaction was holy cow. We didn't know computers could do this, and then, as we started to use it a little bit more, we became really disappointed, because we're like, oh you know, all the people have six fingers. It's making up facts. You know, the things that it's saying don't really make sense. And so there's been a lot of people who have looked at this potential and started to invest material dollars in improving it to basically get to the point where now these technologies produce more reliable, more consistent results. There's still really major shortfalls, there's still issues, and I think you're going to see continued investment in this. The optimistic projections that you're getting from OpenAI. You know I'm personally a little bit cold on those, but who can predict the future? Who could have predicted that this would have happened? Yes, you are seeing improvements in image generation models, where the images that they're producing are now closer to reality. We're starting to see these used widely in industry, especially in fields like advertising, where you need to produce high volume creative. If you look at the features that Photoshop has released related to their Firefly AI image generation model, we're starting to see not only improved models but improved workflows for creatives to actually be using these tools in a way where, instead of just somebody typing some random prompt and getting whatever the system decides to give you now, people are actually able to control the output and get the output that they're looking for. So, between all of these things, you're seeing a lot of development to make these tools more practical to use. I'd say the biggest and most recent news is OpenAI's release of its strawberry model, which they call O1 in their release vernacular. The O1 model from OpenAI is performing thinking steps before it answers the question and hiding that thinking from you, the way that if you're asked a question, you might think about it a little bit before you answer it, and they're seeing really, really impressive results from that. You know we're getting closer to the place where these AI models might be able to do something that's a little bit more functional, a little bit more capable of actually interacting with real life data and real-life processes, you know, but we're still a little bit far away.   Another issue that we keep running into is the dollar cost of running these models. Towards the end of last year, at Helium 10, we developed a review sentiment analysis model that basically would read thousands and thousands of reviews for your Amazon products and produce some analysis and produce an analysis of what people are saying about your product. You know Amazon has a similar product. Ours goes a little bit deeper than that but the idea is essentially the same. You know what are people saying about your product, what can you learn about it in order to improve your product, improve your listing, etc. And one of the things that we ran into with that model is just how prohibitively costly these models can be to run on large sets of data, and so we're starting to see investments in making models smaller and more special purpose, and we're also seeing improvements in hardware that make running these models more cost effective. This is really going to start to unlock production capabilities, and that companies will now be able to run AI models profitably.   Bradley Sutton: Interesting, interesting. Now, yeah, we're always looking to add things that can utilize AI that helps Amazon sellers. You know we are launching this week advertising AI on our Atomic side, which is allow somebody to just enter in an ASIN and then our AI engine will kind of just create all the campaigns on its own and optimize them on its own. That's something that we've been using at Pacvue for a while, and we're integrating some AI things into tools like Cerebro, where you could have a prompt that allows you to filter out keywords or say, hey, can you please remove any Spanish keywords from the results? Or, hey, can you remove any branded? You know search terms, you know things that you know you could probably do on your own, but it just takes a lot longer. So, so, definitely, we're, we're keeping track of what AI can do, because anything that is doable. We want to go ahead and bring it into Helium 10.   Bradley Sutton: We know that getting to page one on keyword search results is one of the most important goals that an Amazon seller might have. So track your progress on the way to page one and even get historical keyword ranking information and even see sponsored ad rank placement with Keyword Tracker by Helium 10. For more information, go to h10.me forward. Slash keyword tracker.   Bradley Sutton: Now going back to the main topic, amazon. Before we get into the science more detailed, into whatever science documents have been released and things this year, let's talk about what is 100% already out there or talked about, which is like the Rufus and so Rufus, Cosmo I've got some personal opinions on it and that's all. A lot of this is, you know, until Amazon actually publishes something for sure, like you can't even say that, oh, a science document said this or that, because the great majority of the content of science documents actually doesn't actually get into production on Amazon. You know per se. You know so just because Amazon talked about in a science document. It's just a research paper, you know. But let's first about talk about the stuff that you know Amazon announced at Accelerate or has already rolled out to customers, like Rufus.   And then my general thought on that and again I could be wrong and I'll be happy to switch my thinking when Amazon does make some different announcements is that Amazon is always about the customer. Right, they want to give a better result for the customer. And then I don't feel that, like Rufus, for example. Fyi, in my opinion it's terrible as a buyer where I'm like, hey, what did the review say about this product and it gives me an answer. And guess what? There's no reviews on that product. So, as a consumer, being kind of skeptical about some of these AI things, I just can't use it. And now the other part of it is I don't think anytime soon the traditional way of searching on Amazon is going to be improved in that if I know I want to buy and I talked about this in a previous episode recently if I want to buy a coffin shelf, there is no better process than me opening my Amazon app and typing the word towards coffin shelf and looking at the results like there is nothing unless amazon connects my brain to, to the app. That is going to ever be better than that where? In other words, I am not going to go and have a conversation with Rufus with my thumbs, you know, like taking typing in a whole bunch of I used to be a secretary. I type like a hundred words a minute. So like, let's say, I was on the desktop app, I'm still. I'm a lazy person, as all human beings are. I am not going to say what do you think, Rufus, about coffin shelves out there? Like, like, no, I'm going to type in nine letters and then. So that part. I almost don't think Amazon is necessarily trying to change that part, because they know that it's already the most optimized experience for people who know what they're looking for.   Now here's the thing, though how did I get to that decision that I wanted a coffin shelf, like maybe I just knew it. But another thing is, maybe I'm just browsing like, hey, I want to uh, search on google what are trending, um, trending gifts in 2024 for teenagers with a gothic inclination, or something like that. Like, right now, I'm not doing that in Amazon, or, historically, I'm doing that like in Google, maybe Pinterest, you know, or maybe these other websites where I'm trying to get ideas. And then, all of a sudden, I read a blog, or I arrive on a TikTok or whatever, and I see, ooh, Coffin Shelf. I didn't even know that existed. Now let me go and type in coffin shelf on Amazon.   So I think the potential of, of a fundamental change in the way we shop could be that maybe some of these searches that people would normally start on a Pinterest or on a Google, maybe now you can start in the Amazon app, where what I would have typed for the Google AI or things like it's just going to go ahead and, and, and I can start the Amazon app where what I would have typed for the Google AI or things like it's just going to go ahead and I can start, you know, just browsing, browsing things, and at the end of it, you know like Amazon might, or Rufus might, tell me yeah, you know, like we see some spooky families by coffin shelves, and then here are the coffin shelves Now. Anyways, I normally don't talk very much when I interview somebody, but I'm very passionate about this. But are we on the same page here, or what? Correct me if I'm wrong or if you have different ideas.   Kevin Dolan: I mean totally with Rufus.   You know Rufus is out, it's public, it's something that anybody can interact with. So we know it's been implemented and if you've actually used it, I'm sure you found the experience a little bit disappointing. You know it does two main things it helps you to figure out what search you might have wanted to type in if you weren't completely sure, and it answers questions about a product once you're looking at a particular product. I think that those two things could be useful. You know, I think that it's certainly early in the implementation of chatbots to say that these things are fully capable, but I think what you're seeing with Rufus is mainly two things here. The first is there's intense industry pressure to implement AI in a visible way that all companies are feeling. After ChatGPT was released, no major tech company wanted to fall behind on that trend, and so you started to see these types of very visible generative AI features implemented in tech platforms across all industries. If you've got a website, there's a good chance you've got a chatbot at this point, and so it's hard to imagine a world where Amazon was not going to release something like this. They really, really had to because there was so much pressure to at least try it, see if it works, see how customers respond to it. Also, we know that Amazon looks towards other retail experiences to try and understand what ways they can improve the e-commerce experience.   It was not always the case that Amazon's primary vehicle for finding a product was a search bar. When Amazon was first released, it was largely node browse based. You would search through a series of categories and get to the product you're looking for, which is much akin to going to a store, looking at the different aisles, walking down the aisle that has your type of product and getting there. It was a major innovation for them to create a search engine that could search through any type of product and understand at some level what a person was looking for, and they've been making continuous improvements to that over the entire development of their company. I think with Rufus, the corollary in real life retail is going to a store and talking to an associate. If you go to a nice store where they have a more curated shopping experience, you might want to go and just talk to a person and ask them questions about the products that they're experts on. I think that's a sort of natural corollary to try to implement in an online context, but when I go to a store, if somebody comes up to me and starts telling me about their products, I'm personally not the type of person to respond to that, and so you know it's natural for me to look at Rufus with a little bit more skepticism than you know somebody who might enjoy that real life experience.   I think that there are shortcomings with Rufus. I don't think it's going to materially impact the majority of purchase paths for the majority of customers. I agree with you. There is no easier user interface that I can imagine. When you are looking for something, you want to just go to Amazon, type it in a search box, a brief description of what you're looking for and then yeah, all right, I've got a list of things to look at. I've got some pictures. I can scan some results.   I do find some utility with Rufus with respect to answering questions about products. You have to take it with a grain of salt because it can hallucinate. It can produce unactual information. However, I have used it in some context to ask a specific question about you know, can this product be compatible with some other product? And it will give you some kind of information that you can then verify using the listing, using the questions and I think that's helpful in order to use Rufus to come up with search ideas and things like that.   I found that those features are a little bit less useful but, like you're saying, if they start to integrate the experience of asking these questions in a more core way, in a way that feels less bolted on and gives you more than just a text output with links if it were to give you, say, a sort of a Pinterest board for product discovery, help you to better understand how to get to the listings that you want to find.   I could see a world where those user interfaces become material for less targeted searches, where you aren't really sure exactly what you want to buy off the bat. One of the things that they point out in the blog post about Rufus because they haven't released a scientific paper about it detailing the implementation. But one of the things they point out is, if you are going to involve yourself in some kind of activity like, let's say, ongoing camping in Joshua Tree, I might use a tool like Rufus to answer the question of what types of things do I need? You know the kinds of things that you might talk to a store associate at a camping store about and it can start to give you some ideas about this. But I think we're pretty far from the point where you would give it the same kind of trust as you would give as somebody who has put their body in a camping experience routinely.   Bradley Sutton: I agree. I think Rufus definitely has some potential to help things if the hallucinations stop, because there are things that as consumers, we do that takes time. After I land on a couple of products, I might start looking at the reviews. I might start looking at details of the bullet points and descriptions to see use cases and try and find out material. I might look at the images to see the stats and the ingredients of something, and these are all things that can take a lot of time, especially if I'm not sure where to look.   Like I don't know where a seller has put in their listing. You know which material to use, so I can definitely see Rufus helping there. But then, you see, my thing is then you know and this kind of goes now into the Cosmo discussion is I materially do not believe that sellers should be doing anything differently right now. To me, the people who Rufus and Cosmo might help, if anything, is the people. It's kind of like maybe leverage or leveling the playing field a little bit for some of the people maybe who are not doing the best practices.   You know, maybe I didn't put all the right keywords in my listing and so I wasn't indexed for it on day one, but then Cosmo or whatever, over time recognizes that the people who are buying my product are actually looking for it for this certain use case. It's kind of like what you and I showed last year on the podcast where noodle camera. Right, you know, noodle camera was not that keyword, was not at the time, I don't know about now, but was not in any listings on Amazon and it didn't have much search volume. So it's not like it was a big loss. But Amazon learned and we don't again. We don't know if this was Cosmo that did it or it's just Amazon algorithm, you know but Amazon learned that, hey, these people who are searching a noodle camera, they're actually looking for this stethoscope kind of camera that looks like a noodle, and so who don't? We don't know how long it took for that to actually become indexed as something, butthat's a benefit you know like. But at the end, if noodle camera was an important keyword, I, if I would have put that keyword in my listing from day one, I would have been the only one searchable. I wouldn't have had to wait for Cosmo or whatever A9, to kind of learn about that. And so again for the person who only keyword stuffs right, you're like, hey, I'm going to pull all my keywords from Cerebro and Magnet and just throw it in my listing and try and get it, each keyword four times.   Yeah, you know what? You probably should change your, your methodology, because that's not. That hasn't been the best way of doing things for years. But we've been teaching here at Helium 10 that you have got to talk about pain points to your product solves in your listing. You've got to show it in the images. You know what use cases. If you have collagen peptides, you've got to show people using it in their coffee. Not that they use the keyword coffee to search for collagen peptides, but that's how they are searching for it. They want something that is going to dissolve well in their coffee, and so you've got to be indexed from day one. You've got to talk about what pain points your product solves, and then that's what's going to put you on the radar of these Amazon AI things. And so in that sense, I don't think a seller's you know, most sellers should be changing their methodology at all because of any of these new things. What are your thoughts on that.?   Kevin Dolan: Yeah Well, I mean, I think it'll first be helpful to talk about what Cosmo is and what Cosmo isn't, because I've been reading a lot of the blog articles, watching the videos and I'm seeing something that tends to happen in tech sometimes, where a word or a technology is being used as a stand-in for some broader movement within the space. I'm seeing a lot of people conflating Cosmo, which is a specific research paper, a specific tool that was built and was tested. It's described very specifically in a scientific paper. Cosmo is this tool, but I think it's being used more broadly to capture a shift into focusing more on semantic search and less on lexical search, which is exactly what I had come on last year to talk about.   Amazon has been working on this for years and years, improving their search algorithm to not rely on a listing creator to actually put a specific keyword in their listing and then find it based on the existence of that keyword in the listing. Instead, try to understand the meaning of a product, how people use it, what people think about the product and all of these kinds of details, so that when somebody types in a search, it can effectively find the product that they're going to want to buy. That is a shift that's been happening for years. That predates transformer models, but we have started to see for sure an increased ability to actually do these things on Amazon. I think that what you're saying is correct. You know the best practices and what sellers should be doing with their listings hasn't changed. But that really depends on what they were doing, whether they were following the best practices to begin with. You know like you said, if they were keyword stuffing trying to find as many keywords as people might type into a search box and stuff it into their listing in as literal a fashion as possible to make Sammy-looking listings that cover as much search volume as possible yeah, that's a bad practice, and as we move into a more semantically focused search world, that becomes an even worse practice. Semantically focused search world that becomes an even worse practice.   What it also tells us is that some of the efforts that are required today to create listings that do involve inserting specific keywords and things like that. You may be able to shift your focus to what would actually be more helpful to customers, which is accurately describing your product, accurately describing how your product will be used and targeting specific customers and specific pain points. The more specific you are and the clearer and more accurate you are, amazon wants you to be in front of the customers who want to buy your product. So that's always going to be a good practice and that's ultimately what Amazon is trying to do when they're doing these types of experiments.   Now the Cosmo paper is interesting. The Cosmo paper was tested on a really large chunk of Amazon traffic using a very heavy, large language model. Compared to prior research, which does tell us that Amazon has made investments in the server capabilities to be able to run these models in production and keep searches within their tight latency expectations, so that, I would say, is certainly significant, it tells us that Amazon does have the hardware capacities to run some of these more advanced models and it tells us that we are going to see an increased focus on semantic search. I think that does affect consumer behaviors, it does affect the way that we rank for keywords, but what it doesn't affect is that best practice of describing your products accurately.   Bradley Sutton: Based on those scientific documents. What are some of the things where, again, just because it's in the science document doesn't mean that it's going to be implemented. But, you know, based on the results and sometimes you can kind of tell like, wow, this one had some pretty amazing results, so it's probably for sure going to be implemented. Can you talk a little bit more about the kind of things that maybe you've seen already implemented or you think will be based on all you know? Again, nobody has read more Amazon science documents than Kevin here. So what would you predict as far as the future, the next year or so?   Kevin Dolan: I mean, Cosmo is a specific tool and I think that the function that it performs is valuable to enhancing Amazon's understanding of a listing. So I certainly would not be surprised to see Amazon implementing this in a production capacity on a large swath of searches. That would not be surprising to me, but it's not as massive as the shift that we've seen into semantic focused search. Cosmo in particular discusses essentially a mechanism for enhancing Amazon's understanding of a product by taking into consideration things that aren't expressed in the query and things that aren't expressed in the listing. The example that they use in the paper, the canonical example, is if you're looking for shoes for pregnant women, a listing might not literally say shoes for pregnant women. It might produce a specific type of open-toed shoe that has good support, good comfort. That might not literally be listed as a keyword in the listing, but it might be something that the system can infer based on its knowledge of the universe, about what it's like to be a pregnant woman and the types of products that they might benefit from.   Cosmo is essentially a mechanism for enhancing listings with additional information to get closer to the user's intent based on a particular search.   If you zoom out and you look at the broader task of semantic search. That's always been the focus. The goal is something might not be said in the same language in a query as it might be when it's written in a listing, when it's answered in a question or when it's written in a review be when it's written in a listing, when it's answered in a question or when it's written in a review, and so the domain of language that's used for these two different ways of expressing thought aren't the same, and so we need to create algorithms that better understand what a user actually means when they type in a search, and what a product actually does and what functions it performs. This idea of understanding deep intent and the actual composition of a product is essentially the goal, and we are seeing for sure that Amazon is making these changes. We're seeing more results come back for listings that do not literally have the keywords typed into search and better match what is a user's real intent on shopping.   Bradley Sutton: But for it to learn that something is a good shoe for pregnant women, it basically would have to have some context, like maybe the reviews. Like somebody said, oh, I was in the second trimester and this was great. It's not going to pull that out of nothing unless, no, I was going to say maybe it knows that. Like, maybe somehow it knows the customer is pregnant and then, without even a review, it's a wow. We see an abnormally large number of pregnant women who are buying this. But I don't, I don't know. I mean, I think I big dad.   Kevin Dolan: I could tell you that, Cosmo, the paper itself does. You're talking about what's usually called avatar personalization, based on your purchase history. I know some things about you. I can kind of put you in this category of person, and I know that these types of people tend to buy these types of products. The Cosmo paper doesn't actually explicitly discuss testing avatar personalization. Doesn't actually explicitly discuss testing avatar personalization. What it does talk about is using recent Search Queries to better contextualize later Search Queries. So like, for example, if I'm searching for camping gear and then I search for mattress after that, there's a good chance that I specifically mean a camping mattress or an inflatable mattress rather than a mattress for a bed in your home that weighs 200 pounds. It can better contextualize a particular search query based on the searches that you've been performing in the recent past.   Avatar personalization is another thing that Amazon is always investigating and we have yet to see any really material evidence that it's been implemented. Almost all of the studies that I've read relating to that type of personalization they talk about the potential of it, but in practice they tend to perform pretty poorly. They either reduce sales or they don't materially impact sales, which is a major problem. They don't materially impact sales, which is a major problem, especially considering that cost of performing that personalization. Amazon does a lot to make sure that the searches that come back are within a very tight latency. They need to come back as quickly as possible and that's very important to the shopping experience. The more personalized search results are, the more expensive those search queries are going to be to run and the longer it's going to take, which materially affects your experience as a purchaser. Yes, hardware is improving. Yes, technologies are improving, but if you can just reuse results, it's always going to be a lot faster than if you compute it on the fly.   Bradley Sutton: But then, still, using the same example, I think, if you knew that, hey, your shoes have good cushioning and you designed it actually for pregnant women to be able to use, the best practice still is to put that keyboard in your listing for day one, so that at least you have a. You know, you don't have to wait for the AI to learn based on activity, you know. But then, if it's not something that's readily like, maybe you had no idea that people were using your shoes for gifts for people who are pregnant, like, maybe you had no idea. That's where, like, I think Cosmo, Rufus and stuff is going to help to uncover these sub-niches of people who are getting your product. But again, at the end of the day, this scenario, I don't think there's anything different that the seller needs to do as far as with their listing that we haven't already said. Now, at the same time, maybe they learn. I think this is going to open up some new potentials down the road. Like, let's say, Helium 10 starts seeing what the common Rufus things are being said about the product or what's the common queries. Maybe Amazon will make that available for sellers through some API that says, hey, this persona is buying your product.   Well, maybe I would go into my listing and change one of my images to show a pregnant person walking around with these shoes. But again, that's what you should have been doing for years. You know, like when you read your reviews and you notice like I used to sell this or I still do sell this egg tray, and I was reading the reviews one day and people were using this egg tray, this wooden egg tray, to as a serving platter for like sushi and also these chocolates, because you know the holes for an egg tray is very similar I was like I never would have thought that so in that situation, who knows, maybe Rufus would have seen the reviews and saw these images and now, all of a sudden, even though I don't have chocolates or sushi in my egg tray listing, I would be searchable for those keywords. But again, as soon as I would have seen that review or known that people are using my product in a way and this is what I did years before AI. You know cause this was years ago that I did this I went in and I did a reef photo shoot showing other use cases of it and I did one image, or like a quadrant of four images that showed somebody putting sushi in it, somebody putting chocolate in it, somebody putting this and that's, and then I put it in my listing too.   So, I was like I didn't want to wait for Amazon to hopefully index me for these keywords. So again, I just go back to the point that what Amazon is doing is not really making things where sellers are going to have to do something completely different, but they they're helping maybe the sellers who haven't been doing the best practices to get indexed for keywords that maybe they weren't smart enough to put in their listing. Yeah, I mean, I think so.   Kevin Dolan:            What you're ultimately seeing with Cosmo is taking information from Amazon's entire catalog, which includes billions of products, billions of product listings, billions of questions, billions of answers, billions of reviews.   There's a lot of information contained in all of that data, which starts to build a picture of how the universe works, and so, in a sense, you could think of it as Amazon using the information it's learned from existing listings to enhance all listings and build a more comprehensive picture of their catalog.   I totally agree with you that it doesn't change the best practices, and still, I would say it's now even more critical that you are taking into consideration the use cases for your products, the people who might be using it, and accurately describe these in your listings. I think that that is still absolutely the best way to rank for products. I think what it does is it shifts focus from some of those old school techniques that we were probably recommending 10 years ago. It's no longer necessary for you to enumerate all possible customers of a product, but instead focus on the key use cases and the key customers to your products, describe these things as accurately and as naturally as possible. It's not required for you to think of all the ways that you could possibly say pregnant woman. Instead, you can just describe the fact that this is useful for a person who is pregnant.   Bradley Sutton: Outside of Cosmo, Rufus. Obviously, they announced a lot of things at Amazon Accelerate, like Amelia for Amazon sellers. Any comments on other things that Amazon have been working on the AI front? Yeah, I mean I would say Amelia is Amazon sellers. Any comments on other things that Amazon have been working on the AI front.?   0:36:59 - Speaker 2 Yeah, I mean I would say Amelia is certainly interesting. Amelia is Amazon's internal chatbot for Seller Central. You know, I've yet to play with it. I've yet to see anybody who's actually had access to it, so I think it's just an early announcement. Maybe some limited people have access, but I would imagine it's going to undergo the hype cycle that we see for most chatbots, including Rufus. There's going to be a lot of excitement. The initial version will be pretty terrible. It will slowly get better over time.   The question is whether it will continue to receive enough investment to make it into a chatbot product that is useful for people, and whether chat is as natural an interface.   As you know, Seller Central is in and of itself. You know, I think we've spent a lot of time over the past 30, 40 years developing software interaction paradigms, so we have a good idea of what is easy to use software. There is potential that we could be using these more chat oriented interfaces to get to our vague intents that we have in our head a little bit more quickly, but we haven't really proven that out yet, and so I would say Amelia has a very similar potential to Rufus in that it's something that I believe could be useful if it is properly invested in, but the jury's still out on whether or not it's going to be a material impacting to people's workflow as you start to get access to it. I do recommend that sellers give it a try, just like with any of these tools see if it's useful for their workflows, but I'm not really holding my breath on it being revolutionary.   Bradley Sutton: A lot of the recommendations that Amazon gives in Seller Central is. I think a lot of sellers have learned to just ignore them because they're not exactly that useful.   And then. So, if this is, it's like putting lipstick on a pig, you know like sure you could put the AI word up, but if it's being based on something that you don't trust in the first place, you know, might be a little bit of time before we can implement it, but I think that Amazon is definitely moving in the right direction and that Amelia has nothing to do with the customer. You know, like we always say, Amazon is all about the customer, which is true, but I think that's just in itself is a step in the right direction, that, hey, Amazon is doing things that are going to try and help the seller, and that's a trend I've been seeing over the last few years. I think it's a very nice step in the right direction.   Kevin Dolan: On that front, we've definitely been seeing Amazon release features in Seller Central using AI that are more seller oriented, that help sellers to understand their products. They've released their own features for review analysis, which does get some basic, surface level summary statistics that could be helpful for people. I think Amazon is making investments there. However, they're always going to be a little bit step removed from the customer. They're always, at the end of the day, competing with sellers to some degree. There are certain things that they can do, certain things that they're limited on in terms of where their interests lie versus where the sellers lie, and so that's where tools like Helium 10 become much more valuable to customers, and so I do recommend that you look at the full suite of tools that you have available to you, because there's going to be things that Amazon will implement and there's going to be things that they're going to be hesitant to implement, for whatever reason.   Bradley Sutton: All right. Well, Kevin, thank you so much for riffing on this with me. It's something I'm passionate about because I'm all about. I'm not like Amazon, I'm all about the sellers, not about the customers, and so anything that affects sellers or you, you know, if there's going to be some big inherent change in the way that sellers need to do things, then I get very passionate about it. And especially when I hear I don't want to, you know, use the word misinformation, you know out there, but almost like scare tactics or just clickbaity stuff, which I just did in this very podcast with the title of it but with at least, if you're in a clickbait, at least let people know that what the real situation is, because I don't want I've had so many sellers come up to me because of just hearing things where it's like, oh, my goodness, I've got to change everything I'm doing for my keyword research.   I've got to change everything I'm doing for my listing optimization. And right now, the fact of the matter is, no, I'm still doing the exact same things I did last year. There are some slightly different things because there's new rules at Amazon of what you can and can't do and of course, I've switched, but as far as the way I make my listings and I structure it and how I do my keyword research. Not one iota different am I doing it now, and I have had the exact same success with getting to page one on all my main keywords and getting sales for the keywords I think I'm relevant for.   And so I think that's just important to know, guys, that as AI evolves, I'm sure I'm positive there's going to be new things that we might have to do as sellers and stay tuned. We'll let you know what those are, but right now, as long as you've been paying attention to our tutorials the last few years, you're not having to do anything different, in my opinion. So, anyways, thanks, Kevin, let's definitely bring you on in 2025. And you know, who knows, maybe AI will be we'll be driving all of our cars and we're driving like the Jetsons or something. I don't know what's. What's going to happen, but we're going to find out with you next year.   Kevin Dolan: Super excited. Thanks for having me.  

Adobe unleashes its Firefly AI video model broadly. Mark Gurman lays out Apple's headset strategy going forward. What's been going on with the Internet Archive. What the heck IS going on with WordPress? VC deals are dropping precipitously. And a review of the Meta Quest 3S.Sponsors:WashingtonPost.com/rideShopify.com/rideLinks:Adobe's AI video model is here, and it's already inside Premiere Pro (The Verge)Apple Has a New Smart Home Strategy: Screens Everywhere (Bloomberg)The Internet Archive is back as a read-only service after cyberattacks (The Verge)In latest move against WP Engine, WordPress takes control of ACF plugin (TechCrunch)Venture capital deal activity is slowing down (Axios)Meta Quest 3S review: Impressive VR for $300 (Engadget)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Slack is enhancing user workflows by integrating AI agents from various partners, including Salesforce and Asana, to streamline tasks and improve productivity. However, user adoption remains a challenge as many are still hesitant about AI in the workplace. T-Mobile's collaboration with OpenAI aims to create a new AI-powered customer service platform, IntentCX, which will analyze call transcripts to enhance customer interactions. Meanwhile, Adobe is set to launch a new video model for its Firefly AI platform, allowing users to create short videos on demand.The episode also highlights LinkedIn's controversial decision to opt users into training generative AI models using their data without prior consent, raising concerns about data privacy and trust. While users can opt out, this policy does not affect data already used for training. LinkedIn claims to employ privacy-enhancing technologies to protect personal data, but the move has drawn scrutiny, especially following similar practices by Meta. Sobel emphasizes the importance of ethical AI integration and the need for providers to help clients navigate these new tools while addressing growing concerns about data privacy.As the tech landscape evolves, host Dave Sobel discusses the upcoming rollout of Windows 11 version 24H2, which is set to begin in October 2024. This minor update includes performance improvements, particularly for AMD-based PCs, but comes at a time when Windows 10 is approaching its end of support date. With a significant portion of users still on Windows 10, the implications for security and the potential for cyber attacks are critical. Sobel urges IT service providers to prepare for the transition by assessing client systems for upgrade readiness and ensuring compatibility with the new operating system.Finally, the episode delves into Apple's recent move into healthcare, transforming AirPods Pro 2 into hearing aids through a software update. This development follows regulatory changes that opened the market for over-the-counter hearing aids, allowing tech companies to innovate in a space previously dominated by a few firms. Sobel also discusses the transformative potential of AI in IT support, emphasizing the need for strategic implementation that enhances efficiency while maintaining human oversight. The episode concludes with a call for a balanced approach to innovation, ensuring that new technologies are adopted thoughtfully and responsibly.Three things to know today 00:00 As Slack, T-Mobile, and Adobe Launch AI Agents, LinkedIn's Data Practices Highlight Growing Trust Issues04:41 Windows 11 Version 24H2 Rolls Out Amid Looming Windows 10 End-of-Support Deadline: Security Challenges Ahead06:34 Apple's Healthcare Move, AI in IT Support, and Next-Gen Reasoning Models: Balancing Innovation with Strategic Caution  Supported by:  https://timezest.com/mspradio/https://www.huntress.com/mspradio/   All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social

Join our Patreon: https://www.patreon.com/AIForHumansShow Join our Discord: https://discord.gg/muD2TYgC8f Breaking AI News: OpenAI's Strawberry is only two weeks away & we still don't know exactly what it is. Is there a newer model coming? Plus, Adobe's new Firefly AI video model looks good, Replit is a cool full pipeline for AI coding, an AI prediction engine and Oprah is taking on AI. Yes, that Oprah. All that plus a look at a cool new AI lip reading AI, MiniMax can show human emotions very well, Gavin creates an AI football troll and we get an AI co-host visit from Dr, uh sorry, Mr. Phil who has some *very* special AI talents.  // SHOW LINKS // OAI Strawberry In Two Weeks https://www.theinformation.com/articles/new-details-on-openais-strawberry-apples-siri-makeover-larry-ellison-doubles-down-on-data-centers?rc=c3oojq $2k High End Subscription Price? https://nypost.com/2024/09/05/business/openai-could-charge-as-much-as-2k-a-month-for-high-end-subscriptions-report/ Decoder with Mike Krieger https://www.theverge.com/24237562/anthropic-mike-krieger-claude-ai-chatbot-artifact-web-decoder-podcast-interview Sam Trash Tweet https://x.com/sama/status/1833227974554042815 Nice Aunties on SORA https://x.com/niceaunties/status/1832421724287365273 Adobe “Commercially Safe” Firefly AI Video https://blog.adobe.com/en/publish/2024/09/11/bringing-gen-ai-to-video-adobe-firefly-video-model-coming-soon Google Founder Sergei Brin Admits They Were “Too Timid” To Deploy AI Models https://x.com/tsarnick/status/1833673836820365806 Replit Agents https://x.com/amasad/status/1831730911685308857 AI Prediction Engine https://x.com/DanHendrycks/status/1833152719756116154 Forecast  https://forecast.safe.ai/ Oprah Special With Sam Altman, Bill Gates & Marques Brownlee https://abc.com/news/1efd942d-61bb-4519-8a62-c4a8fce50792/category/1138628   The End of The Cop Files (What Happened to Tiggy) https://x.com/NeuralViz/status/1833154944729571702   French Film With Real People https://x.com/trbdrk/status/1831801373517869369   MiniMax Emotions https://x.com/EHuanglu/status/1833522650846793970   The Geoff Ryan Show https://www.tiktok.com/t/ZTF81mjAL/   Lip Reading AI https://www.readtheirlips.com/  

Meta AI gets new ‘Imagine me' selfie feature; Spotify CEO says company is in ‘early days' of hi-fi audio plans; Adobe releases new Firefly AI tools for Illustrator and Photoshop Learn more about your ad choices. Visit podcastchoices.com/adchoices

OpenAI's "superalignment team," focused on the AI risks, is no more Sony Music warns over 700 AI companies not to steal its content Meta's Chameleon AI sets a new bar in mixed-modal reasoning Microsoft's New AI PCs Rival Apple's MacBooks Scarlett Johansson sues OpenAI for using her voice in ChatGPT DINO 1.5 is smarter and faster at object detection Microsoft's first SoTA SLM to be shipped with Windows Google unveils new AI tools for branding and product marketing Adobe introduces Firefly AI-powered Generative Remove to Lightroom Anthropic uncovers how Claude Sonnet's AI model works Truecaller's AI assistant gets a voice upgrade, thanks to Microsoft TikTok makes ad creation easy with AI! Cohere releases multilingual AI model, Aya 23 Arc introduces "Call Arc" for quick voice answers Elon Musk envisions AI era, new work norms, life on MarsSubscribe for weekly updates and deep dives into artificial intelligence innovations.✅ Don't forget to Like, Comment, and Share this video to support our content.

Thanks to OM SYSTEM for sponsoring the PetaPixel Podcast! Save on the OM SYSTEM lenses that made PetaPixel's The Best Lenses for Micro Four Thirds Cameras in 2024 list. Right now, you can get the incredible OM System M.Zuiko Digital ED 12-40mm f/2.8 Pro II for just $799, $200 off its retail price. Or how about the OM System M.Zuiko Digital ED 40-150mm f/4 Pro, which is just $699 right now, also $200 off its retail price. However, the savings don't stop there. Right now, you can save up to $400 on EVERY M.Zuiko lens! Visit explore.omsystem.com/petapixel to learn more about these savings, as well as OM SYSTEM's Trade-in, Trade-up event throughout May and June. Because of Fujifilm's massive launch last week (and Sigma dropped a new 24-70mm f/2.8, too), the PetaPixel Podcast team had to record early and release later than usual, but that also meant a lot happened that they didn't get to talk about. That changes this week, because there was a ton to go over including Canon finally annoucning the development of the EOS R1, a camera that has been in development for at least three years. But that didn't go as smoothly as Canon perhaps would have preferred, as Adorama published fake specifications for the camera on their website and was then forced to make a public apology. Beyond that, Adobe announced that Firefly generative AI tools were coming to Lightroom and Ricoh's new GRIII HDF is so popular that Japan had to resort to selling it by lottery. This week, Panasonic announced the S9 and Chris and Jordan have some thoughts on it and also share how they think L-mount is doing now in mid 2024. In This Episode: 00:00 - Intro 05:26 - What is your favorite OM System lens? 09:20 - Canon is finally going to release the R1 10:24 - Subtle differences between the R1 and R3 body design 12:01 - Fake specs "leaked" 14:45 - Adorama apologizes for posting fake specs 18:41 - ASMP calls out Adobe for "shocking dismissal of photography" 22:43 - Meanwhile, Adobe adds Firefly AI to Lightroom 26:58 - Capture One's new "Studio" offering is wildly expensive 28:30 - Ricoh's new GR III HDF is so outrageously popular it's being sold by lottery 34:01 - So, about that Lumix S9... and how is L-mount doing in 2024? 50:22 - What have you been up to? 54:23 - Tech support 54:49 - How much of an issue is overheating on the Insta360 X4? 58:11 - What are the best lenses for the SL3 and GFX100S II when it comes to landscapes and sports photography? 1:01:40 - Is there a notable difference between adapted old Nikon glass and new Fujifilm X glass? 1:03:30 - Can you clarify how both megapixels and lens quality impact sharpness and crop-ability? 1:06:24 - Log is confusing, can you explain how to properly expose for it? 1:11:00 - Help managing the limitations of JPEG but the storage strain of RAW 1:13:02 - Never read the comments

⚖️ xAI's first multimodal model with a unique dataset☁️ Infini-Attention: Google's breakthrough gives LLMs limitless context

In this episode of the ChatGPT Report, we explore a range of small yet significant news items in the tech and AI world. First up, we discuss the shift in how people consume news, with platforms like X and AI tools like Grok changing the traditional newsletter landscape. We also touch on the subtle but noticed change to the ChatGPT logo. The episode takes a critical turn with reviews on Humane AI's new product, highlighted by prominent YouTuber Marques Brownlee. The product's shortcomings spark a broader conversation about skepticism towards AI technology, emphasized by another review of Devin AI from Cognition Labs. Music and creativity merge as we spotlight creators Taylor Gahm and Kiri, who have innovatively used AI in the music industry, crafting visuals for Nothing More and Grimes. Their work showcases the positive impact AI can have in creative fields. Shifting to more controversial news, we delve into Adobe's Firefly AI tool, which despite claims of ethical practices, reportedly uses images from rival AI tools in its training data. This segment expands into a broader discussion on AI ethics and transparency. Finally, we wrap up with insights from Sam Altman on the future of startups in an AI-dominated landscape, offering strategic advice to those navigating this evolving field.

Today on the 5: News reports emerged over the last few days that Adobe used Midjourney content to train the Firefly AI model. A lot of opinions have naturally followed, but for me personally these stories are missing some critical details.

This week's episode brought to you by Slice on Broadway, and Sidekick Media Services and listeners like you at www.patreon.com/awesomecast Akira Motorcycle Project: Discussion on the Akira motorcycle by Bell & Bel, touching upon its significance in pop culture and technological craftsmanship.https://www.instagram.com/belybel_artworks?igsh=MTh1dWVmNm45dW03Mw== iPhone “Mood” Camera App for Photographers: Exploration of a new app designed to emulate film photography on iPhones, catering to the needs of photography enthusiasts seeking a blend of vintage and modern.https://testflight.apple.com/join/g1uQn7Hu Live Facial Tracking with iPhones for Nicelodean's Spongebob Squarepants Superbowl: iPhones are used for live facial tracking in broadcasting, highlighting the innovative application of smartphone technology beyond conventional use.https://www.instagram.com/reel/C3Ocl0QMxuK/?igsh=MTNoczloZjc1eGp4ag== Adobe's AI and Apple Vision Pro Integration: Examination of Adobe's latest AI technologies and their integration with Apple Vision Pro, showcasing advancements in creative software and hardware synergy. AI in Image Editing from Apple: Insights into how AI is revolutionizing image editing, making it more accessible and intuitive for users to modify photos with simple text commands.https://www.theverge.com/2024/2/7/24065125/apple-generative-ai-image-editing-mgie-open-source-model Tech for the Visually Impaired: Discussion on technology designed to assist visually impaired users, illustrating the inclusive approach of tech companies towards accessibility.https://www.tiktok.com/@jamesrath/video/7333485717730954542?r=1&t=8jjujvsvlB1 Adobe Lightroom and Firefly AI on Apple Vision Pro: Overview of Adobe's software offerings for Apple Vision Pro, highlighting the potential of augmented reality (AR) and AI in professional and creative workflows.https://www.theverge.com/2024/2/2/24059011/adobe-firefly-ai-image-generator-lightroom-apps-apple-vision-pro?lhaid=3905546&lhcid=1x29nfgapl&di=add8949ea6dac2da4d1fe5469c9ba049 Subscribe to the Podcast: awesomecast.com Sorgatron Media Podcast Network Feed: sorgatronmedia.fireside.fm Join our AwesomeCast Facebook Group to see what we're sharing and to join the discussion! You can support the show at Patreon.com/awesomecast! Special Thanks to kidmental for the new AwesomeCast Sounds! Visit him at www.kidmental.com Join our live show Tuesdays around 7:00 PM EST on AwesomeCast Facebook, Youtube and Sorgatron Media Twitch!

This week's episode brought to you by Slice on Broadway, and Sidekick Media Services and listeners like you at www.patreon.com/awesomecast Akira Motorcycle Project: Discussion on the Akira motorcycle by Bell & Bel, touching upon its significance in pop culture and technological craftsmanship.https://www.instagram.com/belybel_artworks?igsh=MTh1dWVmNm45dW03Mw== iPhone “Mood” Camera App for Photographers: Exploration of a new app designed to emulate film photography on iPhones, catering to the needs of photography enthusiasts seeking a blend of vintage and modern.https://testflight.apple.com/join/g1uQn7Hu Live Facial Tracking with iPhones for Nicelodean's Spongebob Squarepants Superbowl: iPhones are used for live facial tracking in broadcasting, highlighting the innovative application of smartphone technology beyond conventional use.https://www.instagram.com/reel/C3Ocl0QMxuK/?igsh=MTNoczloZjc1eGp4ag== Adobe's AI and Apple Vision Pro Integration: Examination of Adobe's latest AI technologies and their integration with Apple Vision Pro, showcasing advancements in creative software and hardware synergy. AI in Image Editing from Apple: Insights into how AI is revolutionizing image editing, making it more accessible and intuitive for users to modify photos with simple text commands.https://www.theverge.com/2024/2/7/24065125/apple-generative-ai-image-editing-mgie-open-source-model Tech for the Visually Impaired: Discussion on technology designed to assist visually impaired users, illustrating the inclusive approach of tech companies towards accessibility.https://www.tiktok.com/@jamesrath/video/7333485717730954542?r=1&t=8jjujvsvlB1 Adobe Lightroom and Firefly AI on Apple Vision Pro: Overview of Adobe's software offerings for Apple Vision Pro, highlighting the potential of augmented reality (AR) and AI in professional and creative workflows.https://www.theverge.com/2024/2/2/24059011/adobe-firefly-ai-image-generator-lightroom-apps-apple-vision-pro?lhaid=3905546&lhcid=1x29nfgapl&di=add8949ea6dac2da4d1fe5469c9ba049 Subscribe to the Podcast: awesomecast.com Sorgatron Media Podcast Network Feed: sorgatronmedia.fireside.fm Join our AwesomeCast Facebook Group to see what we're sharing and to join the discussion! You can support the show at Patreon.com/awesomecast! Special Thanks to kidmental for the new AwesomeCast Sounds! Visit him at www.kidmental.com Join our live show Tuesdays around 7:00 PM EST on AwesomeCast Facebook, Youtube and Sorgatron Media Twitch!

Explore Adobe's investment in creativity as it compensates artists for their contributions to Firefly AI training. Learn how this initiative supports artistic communities, encourages collaboration, and drives innovation in AI-powered design. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Join us on the frontier of creativity and innovation as Adobe compensates artists for their contributions to Firefly AI training. Discover how this collaboration bridges art and technology, empowering creators and advancing AI-driven design. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Celebrate Adobe's commitment to creativity as it compensates artists for their valuable contributions to Firefly AI. Explore how this initiative supports artists, fosters collaboration, and drives innovation in AI-powered design. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Explore the groundbreaking collaboration between Adobe and artists as they work together to train Firefly AI. Learn how Adobe's compensation initiative supports creative communities, drives technological advancement, and fuels artistic innovation. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Explore the intersection of innovation and collaboration as Adobe compensates artists for content used in Firefly AI training. Discover how this initiative drives ethical AI development and empowers creative communities. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Join Adobe in its mission to empower artists as it compensates them for content used in Firefly AI training. Learn how this initiative supports creators and promotes fairness in AI development. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Discover Adobe's commitment to fair compensation as it pays artists for content used in Firefly AI training. Explore how this initiative promotes ethical AI development and supports creative communities. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Discover Adobe's efforts to empower artists by compensating them for their content used in training the Firefly AI. Explore how this initiative supports creators and fosters a collaborative ecosystem. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

In this episode, we delve into the innovative move by Adobe, where artists are compensated for their content used in training Firefly AI. Join me as we discuss the implications of this artistic exchange and its significance in the AI realm. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

In this episode, we unravel the value creation in Adobe's decision to pay artists for content contributing to Firefly AI's training. Explore with me the symbiotic relationship between artistry and AI advancement in this groundbreaking initiative. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

Uncover the synergistic collaboration between Adobe and artists, where the Firefly AI initiative pays creators for their content used in training, reshaping ethical norms in AI development. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ AI Facebook Community Learn more about AI in Video Learn more about Open AI

Welcome to this special episode where we sit down with Ido Neeman, the CEO of Firefly, to delve into the events of October 7th. In this candid conversation, Ido shares the harrowing details of that day, recounting his efforts to rescue his co-founder and friend, Sefi Genis. Join us as we explore the profound impact of losing such a crucial figure, both personally and for the company. Amidst the grief, we also discuss the resilience of Firefly and how it will continue to grow in the face of adversity. This episode pays tribute to Sefi's memory and offers insights into the strength and determination that propels Firefly forward.This conversation is in honor of Sefi Genis, Co-founder of Firefly, who was horrendously murdered by Hamas on OCT 7th, at the Supernova festival in Israel.

Season 5 Episode 15 FACULTY: Ashley Francis, Byron Patrick, Korey Cournoyer, Keila Hill-Trawick CLASS: #TechTime TITLE: AI Horror Stories: Shining a Light on the Dark Side of AI In this podcast episode, Scotty hosts a panel featuring Ashley Francis, Byron Patrick, Korey Cournoyer, and Keila Hill-Trawick. They discuss the role of artificial intelligence (AI) in the accounting industry. The conversation touches on various facets of AI implementation, its impact on different firms, practical applications, concerns regarding security, as well as the question of whether AI will replace human accountants. Introduction What is Accounting High AI the Monster - At Keila's Firm AI at Korey's Firm How Byron Uses AI How Ashley Uses AI at Her Firm and Microsoft Copilot Is AI Going to Replace Us? Practical Uses of AI  Security Concerns and AI Hygiene Training the Model ChatGPT Plugins Unique CPA Rap  Shout Outs: Jason Staats, Randy Crabtree, Bridging the Gap Conference, Microsoft Copilot, Appstream, The Growth Lab, Otter AI, Firefly AI, ChatGPT, MailChimp, Zapier, Make --- Send in a voice message: https://podcasters.spotify.com/pod/show/accountinghigh/message

Google's Pixel phones are held up as the Android smartphones to follow, and their cameras are often pitted against the iPhone as examples of the state of the art. However, as Kirk discovered when he bought a Pixel 8, the details matter... such as the Pixel 8 not being able to use the full resolution of its main camera. Also in this episode, we check in with some new developments in the generative photography world with Adobe's release of Firefly 2 and GenAI integration in Photoshop. Hosts: Jeff Carlson: website (https://jeffcarlson.com), Jeff's photos (https://jeffcarlson.com/portfolio/), Jeff on Instagram (http://instagram.com/jeffcarlson), Jeff on Glass (https://glass.photo/jeff-carlson), Jeff on Mastodon (https://twit.social/@jeffcarlson) Kirk McElhearn: website (https://www.kirkville.com), Kirk's photos (https://photos.kirkville.com), Kirk on Instagram (https://instagram.com/mcelhearn), Kirk on Glass (https://glass.photo/mcelhearn), Kirk on Mastodon (https://journa.host/@mcelhearn) Show Notes: (View show notes with images at PhotoActive.co (https://www.photoactive.co/home/episode-152-android-ai)) Rate and Review the PhotoActive Podcast! (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) Take Control Books (https://takecontrolbooks.com/) MacVoices Video with Take Control (https://www.macvoices.com/macvoices-23264-a-20th-anniversary-take-control-authors-reunion-1/) Can an iPhone user learn to love Android? | Macworld (https://www.macworld.com/article/222966/can-an-iphone-user-learn-to-love-android.html) An iPhone user's (surprisingly positive) experience with Windows Phone (https://www.macworld.com/article/225235/an-iphone-users-surprisingly-positive-experience-with-windows-phone.html) Pixel 8 Specs (https://store.google.com/product/pixel_8_specs?hl=en-US&pli=1) Made by Google '23: Keynote (https://www.youtube.com/watch?v=pxlaUCJZ27E) Google Pixel 8 Pro Review for Photographers: Android's Best Camera (https://petapixel.com/2023/10/17/google-pixel-8-pro-review-for-photographers-androids-best-camera/) The Best Android Phone | Wirecutter (https://www.nytimes.com/wirecutter/reviews/best-android-phone/) Adobe MAX 2023: Here's what Lightroom users need to know (https://www.dpreview.com/news/4857219044/adobe-max-2023-lightroom) Episode 138: DPReview and AI (https://www.photoactive.co/home/episode-138-ai) Adobe announces improved Firefly AI, new Content Credentials, and more at MAX 2023 (https://www.dpreview.com/news/5324251005/adobe-max-2023-news) Subscribe to the PhotoActive podcast newsletter at the bottom of any page at the PhotoActive web site (https://photoactive.co) to be notified of new episodes and be eligible for occasional giveaways. If you've already subscribed, you're automatically entered. If you like the show, please subscribe in iTunes/Apple Podcasts (https://itunes.apple.com/us/podcast/photoactive/id1391697658?mt=2) or your favorite podcast app, and please rate the podcast. And don't forget to join the PhotoActive Facebook group (https://www.facebook.com/groups/photoactivecast/) to discuss the podcast, share your photos, and more. Disclosure: Sometimes we use affiliate links for products, in which we receive small commissions to help support PhotoActive.

In this episode, we explore Adobe's innovative initiative, where they're supporting artists by compensating them for their creative content, which is being used to train Firefly AI. Join us to learn how this collaboration between art and artificial intelligence is shaping the future of creative technology. Dive into the fascinating world of AI-driven artistry in this captivating podcast conversation. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

This week Tristan and Tasia get to the bottom of the Pixel 8's Best Take “innovation” before recapping the week's top AI news, including Google's new generative AI search for doctors and Adobe's Firefly Image 2 model. Then we meet the latest humanoid AI-powered robots. Should we be afraid or embrace our embodied AI counterparts?FOLLOWAI Named This Show on Facebook, Instagram, YouTube and X (Twitter)Tristan & TasiaAI Named This Show podcastFOLLOW-UPThe Google Pixel 8's flagship camera feature is a 2013 rehashTime-shifting BlackBerry camera makes pictures perfectNokia announces it's buying Scalado, the company behind the cool BlackBerry 10 "time warp" camera functionalityAI NEWSGoogle announces new generative AI search capabilities for doctorsAdobe unveils new Firefly AI models for Illustrator and ExpressAdobe created a symbol to encourage tagging AI-generated contentAI ROBOTSToyota says its new AI robot can master complex tasks in hoursTesla releases update on Optimus robot with video looking like CGIWatch Tesla's Optimus Robot Sort Objects AutonomouslyHello, humans': Meet Aura, the Las Vegas Sphere's humanoid robots designed to help guestsSee also: Robert Playter: Boston Dynamics CEO on Humanoid and Legged Robotics | Lex Fridman Podcast #374 Hosted on Acast. See acast.com/privacy for more information.

In today's episode, we'll review four of the AI image generation tools found in Adobe Firefly. Visit AVID Open Access to learn more.

Tune in to this episode as we unveil Adobe's innovative initiative: compensating artists for their contributions to Firefly AI's training data. Discover how this collaboration between artistry and AI is transforming the creative landscape. Join us to explore the exciting fusion of technology and artistic talent, and the impact it's making on the world of AI development. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

Explore AI's Latest Breakthroughs and Funding! Learn about Databricks' $500M funding, Generate: Biomedicines' expansion plans, SQream's GPU tech, Google's "Gemini" rival to GPT-4, and Adobe's commercial launch of Firefly AI. Plus, discover how these innovations are shaping the future of technology.Key takeaways:Databricks' $500 million Series I funding round, led by T. Rowe Price Associates, Inc., values the data lakehouse platform at $43 billion, reflecting its strong Q2 performance and acquisition of MosaicML.Google's "Gemini" aims to compete with OpenAI's ChatGPT, featuring robust language models for diverse applications, signaling Google's increased investment in generative AI.Generate:Biomedicines secures $237 million in Series C funding, enabling expansion of its generative AI pipeline and acceleration of clinical trials using machine learning.SQream's $45 million Series C funding, led by World Trade Ventures, will fuel North American expansion and enhance AI/ML enterprise capabilities in the big data and analytics markets.Adobe's Firefly AI transitions from beta to commercial availability, offering generative AI tools for image, video, and text content generation across its Creative Cloud platform.Quotes:"Databricks' valuation soars to $43 billion as it successfully closes a $500 million Series I funding round," - Reflecting the company's strong Q2 performance and investor confidence."Generate :Biomedicines plans to expand its generative AI pipeline and launch clinical trials annually," - Highlighting the company's growth strategy following a $237 million Series C funding round."SQream's Chief Revenue Officer, Deborah Leff, emphasizes GPU technology's compatibility with AI and data architectures," - Underlining the advantages of SQream's patented GPU technology."Google aims to establish 'Gemini' as a competitor to OpenAI's GPT-4," - Indicating Google's ambition to rival OpenAI in the generative AI space."Adobe officially launches Firefly AI, extending its generative capabilities to all Creative Cloud users," - Announcing the transition of Firefly AI from beta to commercial availability.____More from Edge of AI

In this episode, we dive into Adobe's new initiative to pay bonuses to Stock contributors whose content is being used to train their AI tool, Firefly. We'll explore what this means for the creative community and discuss the implications for the broader tech industry. Get on the AI Box Waitlist: ⁠https://AIBox.ai/⁠ Facebook Community: ⁠⁠https://www.facebook.com/groups/739308654562189/⁠⁠ Discord Community: ⁠https://aibox.ai/discord⁠ Follow me on X: ⁠https://twitter.com/jaeden_ai⁠

Daniel Rubino of Windows Central comes back to the show to discuss the biggest announcements from this year's Microsoft Build 2023 event. Stephen Shankland of CNET talks about his experience using Adobe's new generative AI tool, Firefly, and how it integrates with Photoshop. Heather Kelly of the Washington Post stops by to share a guide she wrote about teens, smartphones, and social media following the Surgeon General's advisory about social media's effect on the youth's mental health. Finally, Mikah shares a story about a paralyzed man being able to walk naturally again with some implants and through artificial intelligence. Host: Mikah Sargent Guests: Daniel Rubino, Stephen Shankland, and Heather Kelly Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: AWS Insiders - TNW expressvpn.com/tnw CDW.com/DellClient

Chris Messina talks about the birth of the hashtag. Why did Chris leave Twitter? What is Chris doing in AI right now? DeSantis Picked Twitter Spaces to Announce His Run. Next Steps for Neeva. Ford reverses course and decides to keep AM radio on its vehicles. Jack Dorsey shares Robert F. Kennedy Jr. video echoing conspiracy theories. Mourning the state of Twitter. Social Media is a 'Profound Risk' to Youth, Surgeon General Warns. TikTok sues Montana over law banning the app. Instagram's New App Could Be Here By June. Google reaches $39.9 million privacy settlement with Washington state. Meta Fined $1.3 Billion for Violating E.U. Data Privacy Rules. Are you sad that Google+ didn't survive? Where do you stand on the quote-tweet controversy? Technical issues plague Ron DeSantis's presidential announcement on Twitter. It's the 140th Birthday of the Brooklyn Bridge. New Biden FCC Commissioner Nominee Is Lawyer Anna Gomez. Supreme Court sides against Andy Warhol Foundation in copyright infringement case. Supreme Court Leaves 230 Alone For Now, But Justice Thomas Gives A Pretty Good Explanation For Why It Exists In The First Place. I tried the AI novel-writing tool everyone hates, and it's better than I expected. Bob Honey Who Just Do Stuff by Sean Penn. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. Meta's new AI models can recognize and produce speech for more than 1,000 languages. Adobe adds its Firefly AI image generator to Photoshop. Verified Twitter Accounts Spread AI-Generated Hoax of Pentagon Explosion. An A.I.-Generated Spoof Rattles the Markets. Picks:  Chris - Arc has a big launch tomorrow... Leo - Google Bard adds images for more visual responses. Mike - Three new tools attempt to fix news. Jeff - USC Optical Sound Effects Library. Hosts: Leo Laporte and Jeff Jarvis Guests: Chris Messina and Mike Elgan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: athleticgreens.com/twig ZipRecruiter.com/twig fastmail.com/twit

Daniel Rubino of Windows Central comes back to the show to discuss the biggest announcements from this year's Microsoft Build 2023 event. Stephen Shankland of CNET talks about his experience using Adobe's new generative AI tool, Firefly, and how it integrates with Photoshop. Heather Kelly of the Washington Post stops by to share a guide she wrote about teens, smartphones, and social media following the Surgeon General's advisory about social media's effect on the youth's mental health. Finally, Mikah shares a story about a paralyzed man being able to walk naturally again with some implants and through artificial intelligence. Host: Mikah Sargent Guests: Daniel Rubino, Stephen Shankland, and Heather Kelly Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: AWS Insiders - TNW expressvpn.com/tnw CDW.com/DellClient

Welcome to 'AI For Humans,' where we turn complex AI concepts into digestible insights. Join hosts Gavin Purcell and Kevin Periera as we decode the world of AI, with a little help from our AI co-host, Gash. This episode uncovers AI-assisted fake news, explores AI companionship, and delves into the future of superintelligence governance. Our conversation starts with a deep-dive into the disturbing trend of AI-assisted fake news, taking a closer look at the shocking fake Pentagon Explosion Market Manipulation case that took over Twitter and your newsfeeds this week. We'll arm you with the knowledge to identify AI-generated images and stay one step ahead in the digital landscape. Simultaneously, we'll explore the rise of AI companionship through Caryn Marjorie's AI girlfriend, discussing its profound societal impact and the ethical questions it raises. From the realm of digital relationships, we step into the world of Adobe Firefly, Gavin's pick for the 'Dumb Thing We Did With AI This Week.' and attempt to construct the city of Seattle out of hot dogs. We follow this with a glance at the progress in robotic technology, featuring Halodi Robotics and Tesla Robot updates. The episode reaches its peak as we discuss last week's pivotal meeting between US Government officials and tech giants, OpenAI and IBM. In the aftermath of this meeting, we delve into OpenAI's proposed governance of superintelligence. Our AI co-host, Gash, shares his thoughts in a riveting rebuttal speech, sparking a lively debate with (Not) Sam Altman. Embark on a journey with 'AI For Humans' where we unravel the intricate world of AI with a human touch. Be sure to subscribe and join us as we explore AI with curiosity, humor, and candid conversations. Stay updated and let's demystify AI together!

Chris Messina talks about the birth of the hashtag. Why did Chris leave Twitter? What is Chris doing in AI right now? DeSantis Picked Twitter Spaces to Announce His Run. Next Steps for Neeva. Ford reverses course and decides to keep AM radio on its vehicles. Jack Dorsey shares Robert F. Kennedy Jr. video echoing conspiracy theories. Mourning the state of Twitter. Social Media is a 'Profound Risk' to Youth, Surgeon General Warns. TikTok sues Montana over law banning the app. Instagram's New App Could Be Here By June. Google reaches $39.9 million privacy settlement with Washington state. Meta Fined $1.3 Billion for Violating E.U. Data Privacy Rules. Are you sad that Google+ didn't survive? Where do you stand on the quote-tweet controversy? Technical issues plague Ron DeSantis's presidential announcement on Twitter. It's the 140th Birthday of the Brooklyn Bridge. New Biden FCC Commissioner Nominee Is Lawyer Anna Gomez. Supreme Court sides against Andy Warhol Foundation in copyright infringement case. Supreme Court Leaves 230 Alone For Now, But Justice Thomas Gives A Pretty Good Explanation For Why It Exists In The First Place. I tried the AI novel-writing tool everyone hates, and it's better than I expected. Bob Honey Who Just Do Stuff by Sean Penn. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. Meta's new AI models can recognize and produce speech for more than 1,000 languages. Adobe adds its Firefly AI image generator to Photoshop. Verified Twitter Accounts Spread AI-Generated Hoax of Pentagon Explosion. An A.I.-Generated Spoof Rattles the Markets. Picks:  Chris - Arc has a big launch tomorrow... Leo - Google Bard adds images for more visual responses. Mike - Three new tools attempt to fix news. Jeff - USC Optical Sound Effects Library. Hosts: Leo Laporte and Jeff Jarvis Guests: Chris Messina and Mike Elgan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: athleticgreens.com/twig ZipRecruiter.com/twig fastmail.com/twit

Chris Messina talks about the birth of the hashtag. Why did Chris leave Twitter? What is Chris doing in AI right now? DeSantis Picked Twitter Spaces to Announce His Run. Next Steps for Neeva. Ford reverses course and decides to keep AM radio on its vehicles. Jack Dorsey shares Robert F. Kennedy Jr. video echoing conspiracy theories. Mourning the state of Twitter. Social Media is a 'Profound Risk' to Youth, Surgeon General Warns. TikTok sues Montana over law banning the app. Instagram's New App Could Be Here By June. Google reaches $39.9 million privacy settlement with Washington state. Meta Fined $1.3 Billion for Violating E.U. Data Privacy Rules. Are you sad that Google+ didn't survive? Where do you stand on the quote-tweet controversy? Technical issues plague Ron DeSantis's presidential announcement on Twitter. It's the 140th Birthday of the Brooklyn Bridge. New Biden FCC Commissioner Nominee Is Lawyer Anna Gomez. Supreme Court sides against Andy Warhol Foundation in copyright infringement case. Supreme Court Leaves 230 Alone For Now, But Justice Thomas Gives A Pretty Good Explanation For Why It Exists In The First Place. I tried the AI novel-writing tool everyone hates, and it's better than I expected. Bob Honey Who Just Do Stuff by Sean Penn. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. Meta's new AI models can recognize and produce speech for more than 1,000 languages. Adobe adds its Firefly AI image generator to Photoshop. Verified Twitter Accounts Spread AI-Generated Hoax of Pentagon Explosion. An A.I.-Generated Spoof Rattles the Markets. Picks:  Chris - Arc has a big launch tomorrow... Leo - Google Bard adds images for more visual responses. Mike - Three new tools attempt to fix news. Jeff - USC Optical Sound Effects Library. Hosts: Leo Laporte and Jeff Jarvis Guests: Chris Messina and Mike Elgan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: athleticgreens.com/twig ZipRecruiter.com/twig fastmail.com/twit

Chris Messina talks about the birth of the hashtag. Why did Chris leave Twitter? What is Chris doing in AI right now? DeSantis Picked Twitter Spaces to Announce His Run. Next Steps for Neeva. Ford reverses course and decides to keep AM radio on its vehicles. Jack Dorsey shares Robert F. Kennedy Jr. video echoing conspiracy theories. Mourning the state of Twitter. Social Media is a 'Profound Risk' to Youth, Surgeon General Warns. TikTok sues Montana over law banning the app. Instagram's New App Could Be Here By June. Google reaches $39.9 million privacy settlement with Washington state. Meta Fined $1.3 Billion for Violating E.U. Data Privacy Rules. Are you sad that Google+ didn't survive? Where do you stand on the quote-tweet controversy? Technical issues plague Ron DeSantis's presidential announcement on Twitter. It's the 140th Birthday of the Brooklyn Bridge. New Biden FCC Commissioner Nominee Is Lawyer Anna Gomez. Supreme Court sides against Andy Warhol Foundation in copyright infringement case. Supreme Court Leaves 230 Alone For Now, But Justice Thomas Gives A Pretty Good Explanation For Why It Exists In The First Place. I tried the AI novel-writing tool everyone hates, and it's better than I expected. Bob Honey Who Just Do Stuff by Sean Penn. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. Meta's new AI models can recognize and produce speech for more than 1,000 languages. Adobe adds its Firefly AI image generator to Photoshop. Verified Twitter Accounts Spread AI-Generated Hoax of Pentagon Explosion. An A.I.-Generated Spoof Rattles the Markets. Picks:  Chris - Arc has a big launch tomorrow... Leo - Google Bard adds images for more visual responses. Mike - Three new tools attempt to fix news. Jeff - USC Optical Sound Effects Library. Hosts: Leo Laporte and Jeff Jarvis Guests: Chris Messina and Mike Elgan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: athleticgreens.com/twig ZipRecruiter.com/twig fastmail.com/twit

Daniel Rubino of Windows Central comes back to the show to discuss the biggest announcements from this year's Microsoft Build 2023 event. Stephen Shankland of CNET talks about his experience using Adobe's new generative AI tool, Firefly, and how it integrates with Photoshop. Heather Kelly of the Washington Post stops by to share a guide she wrote about teens, smartphones, and social media following the Surgeon General's advisory about social media's effect on the youth's mental health. Finally, Mikah shares a story about a paralyzed man being able to walk naturally again with some implants and through artificial intelligence. Host: Mikah Sargent Guests: Daniel Rubino, Stephen Shankland, and Heather Kelly Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: AWS Insiders - TNW expressvpn.com/tnw CDW.com/DellClient

Daniel Rubino of Windows Central comes back to the show to discuss the biggest announcements from this year's Microsoft Build 2023 event. Stephen Shankland of CNET talks about his experience using Adobe's new generative AI tool, Firefly, and how it integrates with Photoshop. Heather Kelly of the Washington Post stops by to share a guide she wrote about teens, smartphones, and social media following the Surgeon General's advisory about social media's effect on the youth's mental health. Finally, Mikah shares a story about a paralyzed man being able to walk naturally again with some implants and through artificial intelligence. Host: Mikah Sargent Guests: Daniel Rubino, Stephen Shankland, and Heather Kelly Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: AWS Insiders - TNW expressvpn.com/tnw CDW.com/DellClient

Chris Messina talks about the birth of the hashtag. Why did Chris leave Twitter? What is Chris doing in AI right now? DeSantis Picked Twitter Spaces to Announce His Run. Next Steps for Neeva. Ford reverses course and decides to keep AM radio on its vehicles. Jack Dorsey shares Robert F. Kennedy Jr. video echoing conspiracy theories. Mourning the state of Twitter. Social Media is a 'Profound Risk' to Youth, Surgeon General Warns. TikTok sues Montana over law banning the app. Instagram's New App Could Be Here By June. Google reaches $39.9 million privacy settlement with Washington state. Meta Fined $1.3 Billion for Violating E.U. Data Privacy Rules. Are you sad that Google+ didn't survive? Where do you stand on the quote-tweet controversy? Technical issues plague Ron DeSantis's presidential announcement on Twitter. It's the 140th Birthday of the Brooklyn Bridge. New Biden FCC Commissioner Nominee Is Lawyer Anna Gomez. Supreme Court sides against Andy Warhol Foundation in copyright infringement case. Supreme Court Leaves 230 Alone For Now, But Justice Thomas Gives A Pretty Good Explanation For Why It Exists In The First Place. I tried the AI novel-writing tool everyone hates, and it's better than I expected. Bob Honey Who Just Do Stuff by Sean Penn. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. Meta's new AI models can recognize and produce speech for more than 1,000 languages. Adobe adds its Firefly AI image generator to Photoshop. Verified Twitter Accounts Spread AI-Generated Hoax of Pentagon Explosion. An A.I.-Generated Spoof Rattles the Markets. Picks:  Chris - Arc has a big launch tomorrow... Leo - Google Bard adds images for more visual responses. Mike - Three new tools attempt to fix news. Jeff - USC Optical Sound Effects Library. Hosts: Leo Laporte and Jeff Jarvis Guests: Chris Messina and Mike Elgan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: athleticgreens.com/twig ZipRecruiter.com/twig fastmail.com/twit

今回のエピソードでは、今注目のテックアイテムやニュースについて語りました！ 今流行りのスケルトン仕様も登場、Beatsから発売されたStudio Buds Plus、Adobe Fireflyのベータ版のちょっとキモいAI装飾文字、旅の予約にChatGPTのウェブブラウジング、プラグインが活躍？モンタナ州TikTok禁止令、Metaの新しいテキストシェアリングアプリ"P92"などなど、みんなはどのトピックが気になりましたか？ さらにYuka&Sahiroが「湯飲みポッドキャスト」に初ゲスト出演しました！まだ視聴されてない方は、ぜひチェックしてみてね！

En el episodio 241 de Tecnocracia repasamos todos los anuncios del evento Google I/O 2023. Hablamos acerca de todas las innovaciones de inteligencia artificial (Bard, PaLM2, Firefly, Magic Editor, Tailwind, MusicLM, Codey, Imagen). También analizamos los nuevos lanzamientos de la línea Pixel: Pixel 7a, Pixel Tablet, Pixel Fold. LinksGoogle I/O 2023: Everything announced at the event | EngadgetGoogle's PaLM 2 paper shows that text-generating AI still has a long way to go | TechCrunchGoogle is incorporating Adobe's Firefly AI image generator into Bard | EngadgetApple and Google team up to tackle Bluetooth tracker stalking | EngadgetGoogle Pixel Fold hands-on: Finally, a real rival for Samsung's foldables | EngadgetGoogle Pixel 7a vs the competition: Pushing the boundaries of a budget phone | EngadgetPixel Tablet vs. the competition: Google's latest stab at making Android tablets a thing | EngadgetGoogle Pixel Fold vs. Samsung Galaxy Z Fold 4: Battle of the foldables | EngadgetChipolo's new item trackers are basically AirTags for Android | EngadgetAndroid 14 played a surprisingly small role in Google's I/O keynote

Original broadcast date April 20, 2023. The original podcast post is here: https://pixelatedgeek.com/2023/04/binary-system-podcast-358-wtnv-226-creditors/ It's no fun being the new Station Management for Night Vale Radio, as Cecil's finding out in this week's episode. Apparently Station Management was relying on being an eldritch horror to avoid paying bills, and now the chickens have come home to roost. And by "chickens" we mean "creditors", and by "roost" we mean "repossess and eat everything in the building including two of the advertising personnel." Things get even more chaotic when you add in a bunch of Shawn's whining about their breakroom, and eighteen pallets of lukewarm scallops. (We'll give you this for free: nobody in the episode gets violently ill from eating un-refrigerated seafood. You're welcome.) Once things settle back down, Elizabeth talks about Ted Lasso Season 3 (verdict: it's good, but it's not surprisingly good yet). Kathryn hasn't managed to watch anything new, but she's been thinking about seeing Beau Is Afraid and the new Dungeons & Dragons, so that kinda counts? The episode wraps up with a detailed rundown of MidJourney, the Adobe Firefly beta, and how we're cautiously optimistic and kinda terrified about the upcoming arms race that is AI art generators. This week's outro is a clip from Parasitic Satellite, by CRUXORIUM. Correction: Bill Lawrence, the creator of Scrubs, Ted Lasso, and Shrinking, isn't doing any of the writing in Ted Lasso season 3, which may explain the difference in tone. Ursula Vernon's twitter thread about Adobe's Firefly AI starts here. The last outtake at the end of the episode may be a little hard to hear, but that's Kathryn's very sensitive mic picking up the sound of Nathan sneezing. From downstairs. On the other side of the house. With a closed door in between us. Elizabeth's comment, "Nathan's sneezes can break glass." She's not wrong. Looking for a present for that hard-to-shop-for person? Want to buy them (or yourself) a square foot of a castle in Scotland? Look no further! You can support the restoration of Dunan's castle, legally call yourself Lady or Laird, AND if you use http://www.scottishlaird.co.uk/#_a_2gk to get there, you can support this podcast too! For updates, fan art, and other randomness, come follow us on Facebook, Tumblr, Twitter, and Instagram!

This week we're talking about GDC, Epic's "State of Unreal," its Fab new asset store, its virtual economy, and now users can upload content from UE5 into Fortnite. Spatial is doing something similar with Unity. Also, Luma 3D AI, Second Life mobile, and Adobe introduces Firefly AI. Our guest is CEO Steve Zhao of SandboxVR, a chain of 43 VR centers worldwide. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @ThisWeekInXR! Hosted on Acast. See acast.com/privacy for more information.