In A(i) Nutshell

Dynamic pricing, driven by AI, is becoming more prevalent in various industries, including supermarkets, transportation, and insurance. While it offers convenience and the potential for bargains, it can also lead to higher prices and unpredictability for customers. The use of real-time data and AI algorithms allows businesses to adjust prices based on supply and demand, inventory levels, and customer behavior. However, there are concerns about fairness, transparency, and the potential for AI errors. Dynamic pricing is likely to become the new norm as AI enables businesses to analyze vast amounts of data and make pricing decisions in real time.

This week's AI news covers topics such as AI overviews, enhanced photo-taking features, new video generation capabilities, AI music collaboration, and AI content detection. Google introduced AI overviews that allow for search based on prompts and simplified language. They also added an enhanced link display feature. Another interesting feature is the ability to take pictures with multiple people without needing someone else to take the photo. Hedra, a generative video model, launched a new stylized feature. Lemonade, an AI platform, introduced Collab Club, a collaboration tool for training AI models using an artist's catalog. Runway Gen3 now has turbo mode, which is 15 times faster than before. Grammarly is set to launch an AI content detection tool, and Flux and GROK2 are open source and uncensored AI models.

In this episode, Andrew Davis and Chris Branch discuss the involvement of AI in video games. They start by talking about actors in video games going on strike due to AI's ability to easily replace them. They also discuss the use of AI in creating player likenesses and stadiums in EA Sports College Football 2025. The hosts explore the implications of AI-generated reproductions of actors' work and the need for compensation and control over AI avatars. They also mention Activision sharing game data to encourage creativity and innovation in game design.

AI has lowered the barriers to entry in various industries, allowing anyone with a good prompt and the right tools to create amazing content and reach millions through social media. However, there are concerns about the quality of content and the addictive nature of social media. AI has made content creation more efficient and eliminated excuses for poor quality, but it can also lead to a dilution of craftsmanship. Human-made copy and content that stands out from AI-generated content will become increasingly important. Building an audience and focusing on distribution will be key to success in this new landscape.

Engagement pods, a method of artificially boosting engagement on social media, have been a long-standing annoyance. With the introduction of AI-generated comments, the problem has escalated. Engagement pods involve creating communities outside of social media platforms where members like and engage with each other's posts to increase visibility. However, AI-generated comments are now being used to automate this process, leading to inauthentic and transparent interactions. This not only damages brands but also undermines the trust of users. The platforms themselves are facing a dilemma as they strive to balance the increase in content with the decline in genuine engagement. The rise of AI-generated comments poses a threat to the authenticity of social media and the effectiveness of advertising.

OpenAI could potentially become the new MySpace, facing similar challenges such as people leaving, bad leadership, over-promising, and competition from other platforms. MySpace was once the biggest social media site, but it fell from grace due to a lack of innovation and the rise of competitors like Facebook. OpenAI needs to be cautious and learn from the mistakes of MySpace to avoid a similar fate. The tech industry is constantly evolving, and being the first or the biggest doesn't guarantee long-term success.

This week's news in AI includes Google's acquisition of Character AI, the release of an open-source image generator called Flux, OpenAI's plagiarism detection tool, and Argentina's use of AI to predict future crimes. Also AI is revolutionizing cataract care in the UK, with an automated voice system assessing patients' recovery post-surgery.

The conversation discusses the cost of video generation in the context of generative AI. It highlights the hidden costs of generating videos multiple times to get the desired result and the pricing strategies of platforms like Kling and Runway. The conversation also explores the different levels of control and quality offered by platforms like Comfey UI, Suno, and Kling. It mentions the upcoming turbo mode in Runway that will make video generation faster and cheaper. The conversation concludes by emphasizing the importance of considering not just the monetary cost but also the impact on mental health and time.

In this episode, Andrew and Chris discuss the recent update to Udio, a music generation platform. They explore the new features introduced in version 1.5, such as prompt strength, clarity control, clip start time, and context length. They also compare Udio to other platforms like Suno and discuss the different communities and preferences surrounding each platform. The conversation ends with speculation about the future of music generation platforms and the possibility of new players entering the market.

In this episode, Andrew Davis and Chris Branch discuss the impact of AI on the food industry. They talk about food subscription services and how AI is used to personalize the app experience and suggest recipes. They also explore the concept of AI-generated cookbooks and the controversy surrounding some of the recipes created by AI. The conversation touches on the subjectivity of food preferences and the role of AI in health and fitness. Overall, the episode highlights the intersection of AI and everyday experiences like food.

Runway ML has released a video generation feature that allows users to upload an image and turn it into a video. This feature is a game changer and improves upon the previous model of text-to-video generation. Other platforms like Kling and Dream Machine also offer similar features but with different workflows and features. The image-to-video feature has the potential for creating deepfakes and raises concerns about the misuse of AI-generated content. Runway ML has implemented measures to prevent copyright infringement and unauthorized use of voices. However, the photorealism of AI models like Mid Journey and the ability to find loopholes in prompts pose challenges for these platforms. Overall, Runway ML has emerged as a leading video generator in the market.

This week in AI news, several platforms made significant updates and announcements. Kling, a new generative video platform, launched its pro plan features. Meta announced AI studios, where users can create their own chatbots. Runway Gen 3 added a new feature called image to video. ChatGPT revealed plans for a search engine called SearchGPT. MidJourney released version 6.1 with subtle improvements. Canva acquired Leonardo AI, signaling its dominance in AI image generation. And Udio 1.5 introduced major updates and new features.

In this episode, Andrew and Chris discuss the three main AI tools they have been using over the past month. Chris mentions Runway Gen 3, which now allows users to add their own images for animation. Andrew talks about Claude 3.5, which he finds comparable to OpenAI's chatGPT but with a more preferred layout. They also mention Kling AI, which now has a desktop version and is accessible to all users. Other tools discussed include FlexClip for creating images and videos, and Udio 1.5 for AI music generation. They also mention Suno and ElevenLabs for voice cloning and sound effects.

Canva's acquisition of Leonardo AI marks a significant move in the AI industry. Canva, known for its user-friendly content creation tools, has purchased Leonardo, an image generator platform. This acquisition allows Canva to expand its offerings and potentially compete with Adobe. The integration of Leonardo's models and Canva's user base presents new opportunities for both companies. The acquisition also highlights the trend of smaller AI companies seeking acquisition by larger companies to access the necessary resources for scaling. This acquisition may be the first of many in the AI industry.

Google has become the official AI sponsor for Team USA in the Olympics, signaling a shift in their marketing and advertising strategy. This partnership raises questions about the future of sponsorship for big companies and the role of AI in events. Google's involvement in the Olympics includes showcasing their AI capabilities, such as 3D video capture and AI commentators. However, there is skepticism about whether Google will actually offer these technologies to consumers. The trend of big companies sponsoring events and showcasing their AI capabilities is not new, with examples like Amazon Web Services sponsoring Formula One and IBM partnering with Wimbledon.

In this episode, Andrew Davis and Chris Branch discuss the perception of CGI versus AI in advertising. They explore why people seem to embrace CGI but have a backlash against AI. The hosts attribute this to the newness of AI and the fear of change. They draw parallels to past technological advancements, such as the electric guitar and autotune, which were initially met with resistance but eventually became accepted. They also discuss the potential for AI to enhance the skills of CGI artists and the need for standout artists to push the boundaries of AI in creative fields.

This episode of the In Ai Nutshell podcast covers various topics in the world of AI, including the launch of the 2024 Olympics in Paris, the use of AI in beauty pageants, the release of the Kling video app, deepfake videos in politics, Meta's large language model, YouTube's generative music suggestions, and a heartwarming story about an individual using AI exoskeleton technology to carry the Olympic torch.

In this episode, Andrew and Chris discuss the concerns raised by their co-host, Max, who believes that his generation (Gen Z) will face challenges and be 'effed up' in their late 30s and early 40s. They explore the impact of the internet and social media on different generations, the role of algorithms, and the potential consequences of AI advancements. The hosts also reflect on their own experiences with the internet and discuss the future prospects for their children. Overall, they ponder whether Max's concerns about the future of Gen Z are valid.

The conversation explores the question of whether to focus on one platform or be present on multiple platforms. It discusses the advantages and disadvantages of both approaches and provides insights on how to navigate the decision-making process. The hosts also touch on the challenges of keeping up with new AI tools and the importance of finding a balance between specialization and being up-to-date with trends.

OpenAI has released a five-step plan for achieving artificial general intelligence (AGI). AGI refers to AI that possesses general intelligence similar to humans. The plan includes five stages: - level 1 chatbots, - level 2 reasoning and problem-solving, - level 3 agents, - level 4 innovators, - level 5 organizations. The conversation focuses on level 3 agents, which involve two AIs communicating and solving problems without human intervention. The hosts discuss the skepticism surrounding the timeline for achieving AGI and the potential impact on jobs. They also mention the importance of being prepared for the advancements in AI.

Sheerluxe faced intense backlash after introducing an AI editor to their team. The main concern was the potential loss of jobs for human journalists and the unachievable beauty standards set by the AI. However, the use of AI in content curation and editing is becoming more common across industries. Transparency and customer experience are key considerations when implementing AI. It remains to be seen how magazines and brands will navigate the use of AI in the future.

Apple potentially trained AI models on YouTube content without consent, sparking controversy. Other AI news includes Meta summarizing posts with AI, a new law making it illegal to remove AI watermarks, Microsoft creating a dangerously realistic AI voice, and hospitals using AI to speed up patient care.

The conversation explores the impact of AI on sales and the potential for AI to replace certain jobs. The hosts discuss an ad that promotes cloning top salespeople with AI and the implications for employees. They also touch on the use of AI in call centers and the importance of the human side of sales. The conversation expands to consider the broader applications of AI in various positions and the potential for AI bots to compete against each other. The hosts emphasize the need for AI to be better than humans and to work in harmony with them.

The conversation explores the impact of AI on travel agents and the future of travel planning. It discusses how AI can plan holidays, find the best options within a budget, and provide context. The conversation also highlights the limitations of traditional search engines like Google and the potential for AI to provide real-time information and personalized assistance. It suggests that travel agents can adapt by becoming AI advisors and leveraging their expertise to help clients navigate AI tools. The conversation concludes that while AI will change the way we travel, there is still a market for travel agents who can provide human touch and support for those who are not comfortable using AI.

Sprite is using AI music to connect with Gen Z. They are relaunching their Limelight music platform with AI-powered remixing capabilities. The app will be loaded with approved songs and users can remix them using the Sound Labs tool. Sprite is also partnering with Spotify to feature curated playlists. The campaign aims to provide recognition to aspiring musicians and engage with the universal language of music. If successful, other brands may follow suit in the AI music space.

The conversation explores the topic of fake engagement on social media and how AI could exacerbate the issue. It discusses the history of fake engagement, the advantages of faking it, and the challenges faced by social media platforms in combating it. The conversation also delves into engagement pods, where users artificially boost their engagement through groups, and the potential impact of AI on engagement metrics. The hosts highlight the need for tools to detect fake engagement and the growing importance of human verification to ensure authenticity. The conversation concludes with a reflection on the challenges of navigating a world where it's difficult to discern what is real.

This week's news in the world of generative AI covers a range of topics, including deep fakes of Gareth Southgate, the launch of a Photoshop AI plugin by Magnific AI, Samsung's AI unpacked event, Ariana Huffington's collaboration with OpenAI to create a health app, a court case involving school children creating and spreading AI-generated images, and 11 Labs partnering with celebrities to offer their voices for audio recordings.

Will.i.am discusses the power of AI in amplifying ideas and the importance of ideation. He believes that AI can create beats at the level of humans or better, and that it can turn one idea into a thousand variations. However, distribution and building a community are still crucial for success. The concept of splintering, where AI takes a small idea and expands it into multiple variations, is highlighted. The conversation also touches on the ethical use of AI and the need for trial and error when using AI tools.

The conversation explores the contradiction of AI in marketing, particularly on social media platforms. While companies heavily invest in AI and promote its use, they often penalize creators who use AI-generated content by decreasing their reach. Platforms like LinkedIn have strict rules against using AI-generated profile pictures, even though they have a stake in OpenAI, which has an image generator. The conversation also touches on the controversy surrounding filters and editing, where platforms like Instagram tag content as 'made with AI' but have previously taken a stand against Photoshop. The conversation highlights the blurred line between what is considered AI and what is not, and the potential advertising motives behind promoting AI products.

Virtual influencers are computer-generated characters that can influence the masses on social media. Currently, most virtual influencers are created by big agencies with CGI capabilities, making them expensive and limited in scale. However, the future of virtual influencers may involve AI video and storytelling to maintain authenticity and engagement. While the target audience for virtual influencers is currently Gen Alpha, it is expected to expand to other generations. Brands can leverage virtual influencers as brand ambassadors, and creative agencies can push the boundaries of storytelling. The virtual influencer industry is set to explode in the next six to 18 months, presenting opportunities for brands and individuals alike.

The conversation explores the question of when it will become unethical to use humans in certain professions, as AI becomes more advanced. The hosts discuss various professions that could potentially be replaced by AI, such as doctors, teachers, airline pilots, and warehouse managers. They also touch on the role of AI in legal, weather forecasting, and emergency response. The conversation raises ethical considerations and the potential benefits of AI in improving accuracy and efficiency.

This week's news in the world of generative AI includes the release of Runway's text-to-video feature, Google's high emissions, Apple's potential deal with Google, and the upcoming AI horror film 'Afraid'. Other news includes Apple's involvement with OpenAI, the release of the Suno music app, new features from 11 Labs, and the AI-powered 'Catch Me Up' feature at Wimbledon. Despite some errors, these developments highlight the ongoing progress and challenges in the AI space.

Paris Saint-Germain used AI for their kit launch when players were unavailable. They employed a combination of AI technologies, including LoRa models, mid-journey stable diffusion, and image upscaling tools. The AI-generated photos replicated players' likeness and kit details with high precision. This approach allowed for a compelling reveal without relying on the availability of players. However, the use of AI in this context raises questions about contracts and the future use of players' likeness. Footballers need to consider their future royalties and the frequency of AI image usage by clubs.

The conversation explores the potential future of e-commerce through the concept of prompt-to-print, where users can submit a prompt and get a physical product generated through crowd voting and crowdfunding. The app, Offscript, discussed in the conversation allows artists to submit images that go through rounds of voting and fundraising. If the required amount is reached, the image is turned into a physical product. The conversation also touches on the challenges of transitioning from 2D to 3D products, the variety of items that can be generated, the quality and manufacturing process, and the potential partnerships with other platforms.

A piece of hardware that combines movie cameras with generative AI experiences in real time has the potential to be a game changer in filmmaking. The device allows users to capture footage with a normal camera and then overlay AI-generated filters and effects in real time. This eliminates the need for post-production editing and allows for immediate feedback and adjustments. The hardware also includes analog elements, such as a physical dial, to enhance the user experience. While the initial prototype may be expensive, as the technology becomes more mass-produced, it could revolutionize the way movies are made.

Amazon's advert about their web servers, AWS, analyzing real-time data for F1 raises questions about the deeper meaning behind it. They are showcasing the power of AWS and its potential for hosting generative AI platforms. Amazon's dominance in hosting is due to their experience with thin profit margins in retail. They power a majority of software apps without users even realizing it. The real-time stats and analysis provided by AI in sports like Formula 1 can enhance the viewing experience and engage fans. However, the increasing use of data and AI in sports raises concerns about gambling addiction and the potential for manipulation.

This episode of the In A Nutshell podcast covers various news and updates in the world of generative AI. The hosts discuss the release of Claude 3.5, a popular chatbot, and compare it to OpenAI's chat GPT. They also talk about social media platforms like Facebook and Instagram using AI to detect AI-generated content and the rise of deepfakes in the UK elections. The hosts mention new AI technologies that can analyze and add annotations to video input, as well as the controversy surrounding the use of AI to resurrect Tupac's voice. They also discuss the release of a branded generative video content by Toys R Us Studios using Sora technology.

In this episode, Andrew and Chris discuss their top three tools that they have been using this month. Andrew's tools are focused on presentations and include Perplexity, a language model for summarizing web pages and filtering news, Heygen, an audio and avatar platform with video language translation, and Midjourney, a tool for finding culturally relevant images. Chris's tools include Virtual Try-On, a tool for trying on virtual clothes, ElevenLabs Sound Effects, a tool for automatically adding sound effects to videos, and Kaiber, a video platform with a music video feature. Also we were featured in the 11th spot in Feedspot's Top 50 UK AI Podcasts. Very proud of this :-) Check out the list here: https://blog.feedspot.com/uk_ai_podcasts/

This conversation explores the potential challenges and risks of relying on specific platforms or tools, particularly in the context of Gen AI. The hosts discuss the history of platforms disappearing or being acquired, causing disruptions for users who have invested time and effort into mastering them. They emphasize the importance of diversifying skills and being prepared for the possibility of a platform closing or being blocked. The conversation also touches on the impact of regulations like GDPR on Gen AI platforms and the need to consider factors beyond just the platform's performance when choosing which tools to use.

The big music record labels are suing AI music generator platforms Suno and Udio for copyright infringement. The platforms use data from the internet to train their AI models, which the record labels argue is illegal without permission. This lawsuit is seen as a landmark case that will set a precedent for other industries. The court will need to determine what constitutes infringement and the potential damages. The outcome of this case will have implications for the future of generative AI platforms.

RunwayML has made a comeback in the video generation space with their latest update. This episode discusses the recent update and its impact on the AI video generation industry. It also explores the controversy surrounding the use of AI in filmmaking and the divide among filmmakers and fans. The conversation highlights the potential of AI technology in enhancing the creative process and producing better art.

In today's episode of the "In ai Nutshell" podcast, hosts Andrew Miles Davis and Chris Branch delve into an eclectic mix of topics: the surprising use of AI by Donald Trump to craft speeches, a new startup from a former OpenAI scientist aiming to align AI more closely with human values, and the controversy over Meta's data scraping practices. They also explore Runway's latest advancements in generative AI video tools, LinkedIn's AI-powered career coaching, and an innovative e-commerce app named Off Script. The episode wraps up with a highlight on Hiba, a UK-based tech company developing AI devices to aid the elderly, showcasing how technology can offer practical solutions to improve the lives of older adults.

The conversation discusses the topic of an AI predicting octopus that claims to predict the winners of the Euros 2024 football tournament. The hosts question the validity of the AI's predictions and discuss the difference between AI and machine learning. They also highlight the unpredictability of football and the limitations of using AI for accurate predictions. The conversation concludes with the hosts sharing their own predictions for the tournament.

Brighton has a general election candidate who aims to be the UK's first AI MP. This development aligns with the prediction that 2024 will be the year of AI in politics. The candidate, Steve Endacott, is creating an AI avatar called AI Steve to represent him. He plans to offer 24/7 access to the avatar for opinions and policy creation. While some see this as a potential evolution in government representation, others question the practicality and effectiveness of an AI MP. It remains to be seen if this candidate will be taken seriously or if other politicians and celebrities will follow suit.

Darlington College is using AI patients to train health and social care students. This concept can be applied to various fields beyond healthcare. The training could be focused on improving the AI or enhancing the skills of humans using AI. There are pros and cons to this approach, such as discounted healthcare for humans and the challenge of emulating real-world scenarios. AI has shown promise in diagnostic accuracy, raising questions about the role of humans in certain tasks. The implementation of AI in various industries will depend on societal acceptance and legal regulations.

In this episode, Andrew Davis and Chris Branch discuss the latest AI news in marketing and content creation. They cover topics such as the AI music generator Suno creating a radio station, Apple integrating chatGPT into their devices, Zoom's plan to create AI avatars for meetings, the release of two new video platforms, a student creating clothes that distort AI detection, comedians trying AI to be funnier (with limited success), and the rollout of an AI-run physiotherapy clinic in the UK.

The conversation explores the integration of AI in education, specifically the role of AI as a headteacher and its impact on students, teachers, and the education system. It delves into the potential benefits and limitations of AI in education, as well as the need for proactive education and adaptation to AI technology.

The conversation explores the impact of AI on job roles and the future of work. It delves into the evolution of job titles in the digital age and the potential for AI to create new job opportunities. The discussion also touches on the hybridization of job roles, the value of human-AI collaboration, and the uncertainty surrounding the future job market.

Apple has officially entered the AI space, but was the announcement underwhelming and confusing? They are focusing on on-device AI to prioritize data protection, but this also limits the capabilities of their AI. Siri is being pushed to be a personal assistant, but it has been underwhelming in the past. Apple is also introducing features for image editing and personalization, but these are not new innovations. Apple's approach is to rebrand existing technologies and release products when they are perfect, rather than rushing to market. They are using OpenAI's ChatGPT, which is surprising considering their ownership of percentages of OpenAI.

In this episode, Andrew Davis and Chris Branch discuss their pet peeves in the world of AI. They focus on two main themes: the trend of early releases and demonstrations of AI products that are not yet fully developed, and the misrepresentation of businesses as AI companies when they are actually just using AI technology. They also touch on the challenges of building foundational AI models and the hype surrounding AI in marketing. Overall, they highlight the need for transparency and accuracy in the AI industry.