The Firefly Video Model will allow users to generate videos through text prompts. This video model was previously previewed earlier in the year. The model will expand Adobe’s suite of generative AI models. It will be able to support a broad multitude of cases including in the professional sphere or for more personal projects. 

Adobe has stated that the Firefly Video Model will come with three features namely Text-to-video, Image to Video and Generative Extend. All of these are in a private beta as of now but a public release is expected to roll out soon. Text-to-video allows video generation to take place with provided text prompts—similarly, image-to-video works with a similar premise. Videos generated will last around five seconds. Generative Extend is a feature that allows users to increase the total length of any provided video by two seconds. 

Firefly Video Model: More on this upcoming generative AI model

Firefly Video Model helps streamline the creative process and helps professionals in the fields envision their ideas. The video generation capability will be available through Premiere Pro, an Adobe video editing service. The model does not face many problems with the spelling of words, something prevalent in most generative AI models. 

This AI model is meant for commercial use so the model is trained on content that Adobe has received permission to use. Adobe has stated that the new video generation model does not train on content from Adobe customers. 

People interested in testing out the beta version can sign up for a waitlist on Adobe’s website. 

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With the rise of AI, came the rise of image generation. It is a powerful tool with capabilities beyond imagination. It has assisted in streamlining the creative process. To put it simply, AI has helped users bring out their creative side. However, with its perks, AI also comes with its fair share of downsides and deepfakes, particularly ‘deepfake porn’ is among them.

Deepfake porn is abusive sexual and non-consensual AI images posted and spread on the internet. This phenomenon has become a recurrent problem with the rise of AI. However, some companies, especially Microsoft is tackling deepfake porn on their own accord.

Microsoft is Tacking Deepfake Porn: Microsoft’s Partnership with StopNCII

Microsoft has made its stance clear on the existence of deepfake porn on their platform. The company has wiped off over 300,000 non-consensual explicit images from its Bing Image search. Microsoft’s policy whitepaper, published on July 30, has suggested policies to protect Americans from exploitative deepfakes. Additionally, users could use the reporting tool if they find any abusive deepfake material, but Microsoft recognizes that this alone will not curb this practice.

To aid its fight against these deepfakes, Microsoft has partnered with StopNCI. StopNCII which stands for Stop Non-Consensual Intimate Image Abuse, is an organisation created against the spread of such material online. StopNCII makes use of image hashing to protect the victims. Image hashing is the method of employing an algorithm to give a hash value to each specific image that has been uploaded. Copies of the image therefore all contain the same hash value as each other. StopNCII thus shares these hashes with partnered companies to detect and effectively remove the images.

This partnership between the two companies will bring forth a ‘victim-centred’ approach. This will affect the way deepfake detection works on Bing.

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Canva Teams is a paid subscription plan aimed at teams for collaborative work and approval flows. It contains features from Canva Pro but it has been adjusted to support more than two or more people at once. Team members can work with each other to build their brands and create stunning visual content. However, Teams has been hit the hardest by the Canvas subscription price hike.

This Canva plan sees a dramatic increase in its US users. The prices have been raised from $120 annually to $500 annually. It has been reported that Australia is also facing worse price hikes as the $26 monthly plan increased to $27 per month. This brings the total of a Teams subscription to $1,636. The Australian price was originally only $323 a year so users have taken to social media to voice their disappointment.

Canva Teams: Reasons behind the price hike

Despite the noise that the price hike has been making on social media, Canva has not put out any official statements announcing the brand-new subscription plans. Although this is not the company’s first rodeo with silently pushing out changes. Earlier this year, Teams increased its subscription plans to $10 per month for each team member.

The increase in Canvas plans is probably due to the new generative AI features that the platform introduced. The company has brought out even more generative AI tools such as Magic Media, Magic Expand, and a text-to-image generator. Users have expressed that most of them do not even use these generative AI tools. Therefore, it seems as though Canva is making people pay for features that are not even used by the majority.

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Founded in 2021, Napkin empowers people to bring their ideas to life through its generative service. The startup’s main customer base consists mainly of creatives, marketers, and other businesses that create content.

Napkin and What the Startup Delivers

Napkin was started in 2012 by co-founders, Jeromen Scholler and Pramod Sharma, to build an AI service that captures the ‘essence of an idea’. The main objective of this Napkin is to reduce the laborious time taken in the design process, thus increasing overall productivity.

Users can provide text prompts or documents, presentations and any other text format and this helps the AI to generate relevant visuals based on the input provided. The generated visuals can also be edited which adds another layer of customisation. Users can adjust the colours, fonts and decorators. Users can also add or switch between icons.

The final image can be exported in various formats including .svg, .png and .pdf. Users can make visually appealing presentations and visuals for social media posts, blogs and documents.

Napkin is available for free but it has a few customisation limitations. However, users can also access the Pro plan for free for a limited time as the startup is in beta. For the best user experience, the desktop version has been recommended instead of the mobile version.

The AI startup based in Palto, California, United States, received $10 million in funding from investors such as CRV and Accel. Sharma has stated that the funds will be utilised for employing more graphic designers, and AI engineers. Funds will also be utilised to improve product development.

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Adobe has been met with criticism from its customers for introducing AI tools and features in its software. However, the company persists that its Firefly AI models do not train on its customer’s work and instead train on Adobe Stock or other free stock media.

Generative Shape Fill and its features

Generative Shape Fill, powered by Adobe’s Firefly Vector model, allows users to speed up their creative process by filling up colours and shapes personal to the users. The AI tool seamlessly matches and captures the user’s art style so the generated content does not look out of place.

Users can also select the area, shape, outline and similar and provide a text prompt for the feature to work. In addition, users are given various options to choose from to match the vision they have of their artwork. Other styles such as pixel art and 3D art can be used to enhance the user’s artwork or design.

This new AI feature assists in the user’s productivity by speeding up their workflow without compromising the quality of work.

Other AI features have also been released alongside the Generative Shape Fill tool. Text to Pattern is a tool that allows users to save their patterns and command them to be applied to their designs. Users can access the feature by clicking on the Object > Pattern option.

Dimension tool and Mockup are the other two features that have recently been added to the AI roster. The Dimension tool does not utilise AI as it simply enables users to measure the sizes of a design element to place it perfectly on a package, pattern and more. Meanwhile, Mockup allows users to place visual mock-ups on products, clothing, and more

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Google Cloud recently launched Generative AI Ops, a new operation that aims to help stressed enterprise users benefit from new artificial intelligence development and shift new workloads into production.

The company revealed that shifting AI workloads into creation is not easy and requires a good knowledge of theory, such as Generative AI machine design, vast language model architectures, on-time engineering, estimation, and more.

The issue is that the ecosystem of Generative AI has extended so fast that there is insufficient capability to go around. For many enterprise users, Generative AI has become a priority.

However, two years ago, hardly anybody had ever known about it. It was only with OpenAI’s ChatGPT, which explained the technology’s unbelievable potential, that all of the users suddenly showed interest in it.

Google Cloud Generative AI Offerings

By using the Generative AI Scheme, Google Cloud Consulting and its partners offer a technique for this without expertise, giving companies the right to use an expert team who will guide them at each step as they change their Generative AI prototypes into production workloads.

As per Google Cloud, Generative AI Ops offers not only expertise but also an optimized technology heap for AI, together with a large set of services for making a wide range of models.

Generative AI operations are said to focus only on the main stages required to get generative AI into production. These stages consist of fast engineering, optimization, and design, which are required to ensure that AI models offer good-quality, exact outputs.

Google’s supporters cover some methods like ReAct, chain of thought, and RAG (retrieval-augmented generation). The company makes clear that dissimilar AI models normally need very changed prompting structures; therefore, it’s necessary to use the right method for every model.

Additionally, Google will also help with performance and system costing. It clarified that AI models need to be constantly evaluated to improve performance and assure precision. Ultimately, Google Cloud Consulting tries to support customers in building a suitable evaluation framework for every Google Cloud’s Generative AI Ops.

After that, the next step is optimizing the model and non-stop tuning, which relates to the ongoing work to enhance generative AI models as they are up and going in production. Google said its specialists can support users to optimize their AI machine architectures, less latency and costs, model collection processes, and more.

Observing and monitoring is another important ability Google provides. The companies said it will work with users to make the tools of observing, which are necessary to monitor the performance continually of Generative AI models to keep safe from hallucinations and inaccuracies, which relates to the technique of few models generating false productions.

Generative AI Google Cloud Skills Boost

Finally, Google’s experts will also help in a business combination and checking to ensure that customers’ generative AI models are combined with their business processes in the technique they plan. Jobs here consist of setting up cloud environments to host AI models, load checking to value model performance, and designing app programming interfaces to organize model communication.

Google Cloud said that Generative AI applications will be complemented by many training courses, boot camps, hands-on labs, and modes in the Google Cloud Skills Boost Stage. Therefore, companies can teach their employees to use Google Cloud’s Generative AI Ops.

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Amazon is late to the AI competition although the generative AI Rufus has received well notice from the users and tech geeks. Amazon has claimed that AI would improve the shopping experience of users.

The AI bot is designed to assist by answering queries, offering recommendations, and comparing different products. Currently, Rufus is only accessible to a limited number of Amazon mobile app users in the US as it is still in the beta stage. However, it will be available to a wider user base in more regions in the upcoming months.

Story Behind Amazon’s Rufus

Amazon first introduced Rufus through an announcement post. Amazon told a reporter, they have a policy where employees can bring their dogs to work and Rufus happens to be one of the first dogs that roamed in the office in the initial days.

Services provided by Amazon’s Rufus

Users can ask questions regarding a product, compare products, ask for suggestions, follow-up questions, etc. Although Rufus does not have a button or an icon to activate itself. One can initiate a conversation by just typing queries on the search bar.

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Since Hamas launched its surprise attack on Israel on October 7, the resulting conflict has spawned an unparalleled deluge of disinformation. People use Generative AI to create an ‘algorithmically driven fog of war’. It has confounded major news outlets and left social media platforms grappling to discern fact from fiction.

However, amid the deluge of misleading images and videos circulating over social media, content created by AI tools has maintained a relatively peripheral role. Some incidents, such as the Israel and Hamas conflict would mark the first instance of false gen.

How Generative AI Misleading the Viewers?

Layla Mashkoor, an associate editor at the Atlantic Council’s Digital Forensic Research Lab, shared her remarks. She said, “There are certainly AI-generated images in circulation, but they haven’t assumed a central role in information dissemination.” AI-generated disinformation, she says, is primarily harnessed by activists to garner support for a particular side or to create the illusion of widespread support. Examples include an AI-crafted billboard in Tel Aviv championing the Israel Defense Forces. It is an Israeli account disseminating fabricated images of people rallying for the IDF, an Israeli influencer employing AI to fabricate condemnations of Hamas, and AI-generated images depicting victims of Israel’s bombardment of Gaza.

One key consideration is the lot of wrong information circulation, making it challenging for AI-generated images to spread the narrative. Mashkoor emphasizes, “The information world is already watching with genuine images & footage.

What is the perspective of organizations?

This perspective is mirrored in the Harvard Kennedy School’s recent publication, which delves into the potential role of generative AI in the global dissemination of false information. The authors have concerns about the negative impact of technology. Generative AI theoretically allows for the rapid proliferation of misinformation. Those seeking out such disinformation are often individuals with ‘limited trust in institutions’ or strong partisan beliefs. They already have an ample supply of familiar nonsense to pursue, ranging from conspiracy theory websites to 4chan forums. The demand for more is nonexistent.

Considering the creativity that humans have displayed throughout history in fabricating (false) narratives. Also, it gives the freedom they already possess to create & disseminate misinformation worldwide. It’s improbable that many people are actively searching for information they can’t find offline or online,” the publication concludes. Furthermore, misinformation gains influence only when people encounter it.

As for images that may find their way into mainstream feeds, the authors note that while generative AI can theoretically produce highly personalized and realistic content, so can Photoshop or video editing software. Manipulating the date on a low-quality mobile video could be equally effective. Journalists and fact-checkers wrestle less with deep fakes than they do with images taken out of context or crudely altered to misrepresent reality. It includes presenting video game footage as a Hamas attack.

In this sense, an excessive fixation on flashy new technology often proves to be a distraction. Sacha Altay, a co-author of the publication and a postdoctoral research fellow whose current focus is misinformation, trust, and social media at the University of Zurich’s Digital Democracy Lab, adds, “Being realistic isn’t always what garners attention or achieves virality on the internet.

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Amazon has recently introduced its Beta version of the Innovative AI Image Tool, to tackle the common challenges marketers face. With this tool’s assistance, marketing professionals can craft captivating and engaging designs, offering a more precise and efficient audience targeting experience. This innovative tool is poised to transform the digital marketing realm, heralding a new era of possibilities.

Three Out of Four Advertisers Face Challenges with Ad Creatives

In a survey carried out by Amazon in March 2023, it was found that almost 75% of advertisers who faced difficulties in achieving successful campaigns pointed to the challenges of crafting ad creatives and selecting the right creative format as their primary issues.

Colleen Aubrey, the senior vice president of Amazon Ads Products and Technology, expressed the company’s dedication to “simplifying the process for advertisers”. However, they are offering tools that enhance the effectiveness of ads with less hassle.

Amazon Offers a Generative AI image tool for Custom Images

To heighten the efficacy of their promotional campaigns and ensure a more significant influx of valuable prospects, consider the following modus operandi:

Within the Amazon Advertising console, advertisers must meticulously select their array of offerings. Further, one must invoke the “Generate” command to generate an AI image. Harnessing the capabilities of artificial intelligence, this mechanism will methodically shape visual content that harmonizes with the brand’s distinctive style and thematic intricacies.

For example, a basic picture of a toaster against a plain white background might not capture as much attention as an image of the same toaster positioned next to a freshly baked croissant on a stylish kitchen counter.

What Lies Ahead for Advertising Solutions Powered by Generative AI

This Generative AI tool by Amazon will help advertisers generate contextually relevant ad images. It is suitable for all types of businesses. Amazon’s strategic maneuver is poised to encourage advertisers, enabling them to target a broader spectrum of audiences. It also amplifies their Return on Investment (ROI).

This AI-driven image generator mirrors Amazon’s recent advancements, such as generative AI descriptions. Moreover, it concise customer review synopses, signifying their continued dedication to innovative technological solutions.

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Microsoft and Siemens Collaborate on New Tool

In an official proclamation, Satya Nadella, Chairman and CEO of Microsoft, expounded that the innovative tool emerged from their enduring partnership with Siemens. These two industry behemoths combine Microsoft’s AI capabilities within the Cloud with Siemens’ profound industrial expertise. The collaboration between Microsoft and Siemens is poised to empower front-line and knowledge workers with an array of revolutionary AI-driven tools, commencing with the inauguration of Siemens Industrial Copilot.

Siemens Industrial Copilot empowers users to promptly generate, optimize, and rectify intricate automation code, resulting in a notable reduction in simulation times.

Roland Busch, Chief Executive Officer of Siemens AG, talks about the revolutionary potential of this partnership. He said it will change the approach of businesses to develop their applications. Moreover, this revolution will empower them to build applications in bulk. It will also promote innovation and address the issues caused by a need for more trained labor.

AI Copilots: Aiding Professionals Across Diverse Industries

Microsoft and Siemens jointly harbor a shared vision of AI copilots offering invaluable support to professionals across a spectrum of industries, spanning manufacturing, transportation, infrastructure, and healthcare. Concrete strategies are already in motion to deploy multiple copilots, with a pronounced emphasis on the manufacturing sectors, including consumer goods, automotive, and machinery.

Moreover, Schaeffler AG, a prominent automotive supplier, has eagerly embraced Siemens Industrial Copilot as an early adopter.

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