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Google Research Unveils VideoPoet: Their Revolutionary New Video Generation AI Model

Google Research has introduced VideoPoet, a cutting-edge LLM designed for video generation tasks. Unlike most existing video models that use diffusion-based methods, VideoPoet utilizes LLM, a different type of AI model based on transformer architecture. The LLM was trained on millions of videos and text-and-image pairs, enabling it to generate stunning, high-quality videos with consistent motion and a wide range of capabilities. In a comparison test, human evaluators preferred VideoPoet’s clips over those generated by competing models. 

AI Risks Turning Organizations into Self-Serving Entities

A new study warns that the widespread adoption of AI in organizations could result in an alarming shift away from human oversight, potentially transforming institutions into self-serving entities. The research, conducted by the University of Ottawa’s Telfer School of Management, explores the consequences of removing human scrutiny and measured bias from core organizational processes. Instead of operating as human systems of interpretation, organizations could become systems of digital enactment, where AI autonomously interprets information and creates the desired environments. This may limit human recognition of automation biases, hinder the ability to adapt to environmental shifts and impede appropriate action.

AI Governance: Why International Cooperation Must Go Beyond Existing Models

Political leaders worldwide are grappling with the challenges posed by AI and are seeking effective governance strategies. Recent initiatives include the G-7’s code of conduct for AI developers and the European Union’s pioneering AI Act. Although the impulse to emulate successful multilateral bodies is understandable, creating new agencies and nonbinding initiatives will not solve the complex challenges of AI governance. International oversight bodies require enforceable rules, including antitrust, nondiscrimination, and intellectual property laws. They must also address fundamental issues such as privacy violations, algorithmic decision-making, and the limits of free expression associated with AI. 

From Sexy Selfies to Surreal Dreams: The Rise and Fall of AI-Generated Art

Last year, the Lensa app gained immense popularity for its AI-generated sultry selfies. However, the fascination with AI-generated art seems to have dwindled over time, with people finding the aesthetic artificial and unoriginal. AI art, characterized by its glossy yet nonsensical appearance, may have shaped the current trend toward surrealism. This trend can be seen in platforms like Canva, which have witnessed a surge in demand for dreamy, fantasy, and ethereal visuals. Despite some artists finding AI-generated art to be a synthetic mishmash, others believe that it has the potential to evolve into a creative medium similar to reality, offering limitless possibilities. 

Deliciously Automated: How AI is Transforming the Food Service Industry

The food and beverage industry is embracing AI technologies like conversational AI and generative AI to reshape the future of food services. Major fast food chains are testing AI deployments at their drive-thrus to automate customer service and reduce the reliance on human labor. However, the success of these initiatives depends on their conversational abilities and personalized strategies. 

Embrace the AI Revolution or Risk Falling Behind: The Importance of AI Reskilling

Generative AI has the potential to revolutionize businesses worldwide, with the ability to increase efficiencies and reduce costs. It is projected to raise global GDP by $7 trillion over the next decade. To fully adopt this transformative technology, businesses must prioritize the development of an upskilling strategy to equip their workforce with the necessary knowledge and skills. While some organizations may be apprehensive about implementing AI, the majority are embracing it. However, businesses must have robust data foundations in place before embarking on AI projects.


Where Are All the AI Marketing Leaders? Big Brands Dragging Their Feet on Hiring

Despite the potential for generative AI to revolutionize marketing, big brands have been slow to create AI-specific leadership roles. Executives in marketing and sales fields have expressed confusion and skepticism regarding the need for dedicated AI marketing roles within organizations. Data from job board Indeed shows that the number of open marketing jobs mentioning AI was 8% lower in November 2023 than the previous year, while sales job listings were nearly three times as likely to mention AI. Coca-Cola is one of the few consumer brands to establish leadership roles dedicated to AI, while others remain cautious about this emerging technology.

Apple’s AI Breakthroughs: Realistic 3D Avatars and Efficient Language Models

Apple has made significant strides in AI with the introduction of new techniques for 3D avatars and memory-efficient language model inference. The HUGS method enables the generation of animated 3D avatars from monocular videos, allowing for immersive visual experiences. Apple’s second research paper addresses the challenge of deploying large language models on devices with limited memory, optimizing data transfer using windowing and row-column bundling techniques. These advancements have the potential to revolutionize virtual try-on, telepresence, and synthetic media, as well as improve the performance of AI assistants and chatbots on consumer devices.




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