Main topic: Google is adding contextual images and videos to its AI-powered Search Generative Experiment (SGE) and showing the date of publishing for suggested links.
Key points:
1. Google is enhancing its AI-powered Search Generative Experiment (SGE) by adding contextual images and videos related to search queries.
2. The company is also displaying the date of publishing for suggested links to provide users with information about the recency of the content.
3. Google has made performance improvements to ensure quick access to AI-powered search results.
4. Users can sign up for testing these new features through Search Labs and access them through the Google app or Chrome.
5. Google is exploring generative AI in various products, including its chatbot Bard, Workspace tools, and enterprise solutions.
6. Google Assistant is also expected to incorporate generative AI, according to recent reports.
Main topic: Sergey Brin's return to work on generative AI at Google.
Key points:
1. Sergey Brin's surprise return to work on generative AI at Google.
2. Brin's participation in a hackathon and his explanation for his return.
3. Brin's acknowledgment of his difficulty in competing with other tech and AI experts.
The main topic is the use of generative AI image models and AI-powered creativity tools.
Key points:
1. The images created using generative AI models are for entertainment and curiosity.
2. The images highlight the biases and stereotypes within AI models and should not be seen as accurate depictions of the human experience.
3. The post promotes AI-powered infinity quizzes and encourages readers to become Community Contributors for BuzzFeed.
### Summary
Utah Tech University is offering a free weekly community course on generative artificial intelligence (AI), providing participants with the skills and knowledge necessary to create using generative AI.
### Facts
- 👥 The course is open to everyone, including those new to AI or coding.
- 📆 The course will be held every Wednesday from August 30 to December 6, 2023, from noon to 12:45 p.m.
- 🏫 The course will take place in Room 105 of Utah Tech's Science, Engineering & Technology building.
- 💡 The course will focus on generative AI, large language models, and prompt engineering.
- 🌐 Generative AI can be used to create art, music, videos, and more.
- 👨🏫 Expert instructors will guide participants through hands-on exercises to help them kickstart their own generative creations.
- 🔌 The course aligns with Utah Tech University's polytechnic approach to education, emphasizing hands-on learning and career preparation.
- 🔒 Seating for the course is limited.
Source: St. George News, SaintGeorgeUtah.com LLC
### Summary
Utah Tech University will be offering free weekly community courses on generative artificial intelligence, discussing the opportunities AI provides and teaching prompt engineering to unlock its power.
### Facts
- 📅 The class will start on Aug. 30 and run every Wednesday until Dec. 6.
- 🧑🏫 The instructor, Konnor Young, believes generative AI can empower individuals in their education.
- 💡 Generative AI creates original content by learning patterns from data, unlocking new possibilities in art, music, and videos.
- 🔬 The class will focus on open-forum discussions about generative AI, large language models, and prompt engineering.
- 🤝 Participants will have hands-on exercises to develop skills and knowledge for generative creations.
- 🎨🚀 The technology can be harnessed in various disciplines, from art and humanities to science, technology, and engineering.
Utah Tech University will be offering a free community class on generative artificial intelligence, focusing on the opportunities and applications of the technology in various fields such as art, music, and engineering.
Google DeepMind is evaluating the use of generative AI tools to act as a personal life coach, despite previous cautionary warnings about the risks of emotional attachment to chatbots.
Main topic: Investment strategy for generative AI startups
Key points:
1. Understanding the layers of the generative AI value stack to identify investment opportunities.
2. Data: The challenge of accuracy in generative AI and the potential for specialized models using proprietary data.
3. Middleware: The importance of infrastructure and tooling companies to ensure safety, accuracy, and privacy in generative AI applications.
Generative AI is not going to replace SEO jobs, but it will change the industry and require adaptation, particularly in prompt customization and the evolution of links. Technical SEOs may have an advantage in handling these changes, and generative AI can save time on content creation. However, careful application and consideration of biases are necessary when using generative AI.
Some companies are hiring AI prompt engineers to help them optimize generative AI technology, but as the tech improves at understanding user prompts, these skills may become less necessary.
MSCI is expanding its partnership with Google Cloud to utilize generative AI for investment advisory purposes, aiming to provide investors with enhanced decision-making capabilities, deep data-driven insights, and accelerated portfolio implementation in areas such as risk signals, conversational AI, and climate generative AI.
General Motors has partnered with Google Cloud to incorporate conversational artificial intelligence into GM vehicles and explore future applications for generative AI.
Fox Sports has partnered with Google Cloud to utilize generative AI technology in order to quickly search and generate content from its extensive library of archived games footage, streamlining the process of content creation for TV, social media, and marketing purposes.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Google is expanding the availability of its generative AI-powered search engine, Search Generative Experience (SGE), to India and Japan, allowing the company to test its functionality at scale in different languages and gather user feedback. Google is also improving the appearance of web page links in generative AI responses and seeing high user satisfaction, particularly among younger users who appreciate the ability to ask follow-up questions. This move comes as Microsoft has been offering its own generative AI-powered search engine, Bing, for months, aiming to compete with Google in the AI space.
The rise of generative AI tools has already had an impact on SEO strategies, with most professionals believing it presents opportunities but also requires caution and careful consideration due to risks and limitations; as AI continues to evolve, SEO strategies will need to adapt to incorporate predictive analysis, personalized content, and optimization for voice search, while still maintaining human oversight and creativity for high-quality content.
Google's plan to create an AI-based "life coach" app raises concerns about the combination of generative AI and personalization, as these AI systems could manipulate users for revenue and potentially erode human agency and free will.
Google Cloud is heavily investing in generative AI, leveraging its innovations in Tensor Processing Units (TPUs) to provide accelerated computing for training and inference. They offer a wide range of foundation models, including PaLM, Imagen, Codey, and Chirp, allowing for customization and use in specific industries. Google Cloud's Vertex AI platform, combined with no-code tools, enables researchers, developers, and practitioners to easily work with generative AI models. Additionally, Google has integrated their AI assistant, Duet AI, with various cloud services to automate tasks and assist developers, operators, and security professionals.
Generative AI is being explored for augmenting infrastructure as code tools, with developers considering using AI models to analyze IT through logfiles and potentially recommend infrastructure recipes needed to execute code. However, building complex AI tools like interactive tutors is harder and more expensive, and securing funding for big AI investments can be challenging.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Generative AI has the potential to understand and learn the language of nature, enabling scientific advancements such as predicting dangerous virus variants and extreme weather events, according to Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA.
Generative AI is set to revolutionize game development, allowing developers like King to create more levels and content for games like Candy Crush, freeing up artists and designers to focus on their creative skills.
Generative AI is a form of artificial intelligence that can create various forms of content, such as images, text, music, and virtual worlds, by learning patterns and rules from existing data, and its emergence raises ethical questions regarding authenticity, intellectual property, and job displacement.
Toyota Research Institute (TRI) has used generative AI to teach robots how to perform individual tasks needed to make breakfast by giving them a sense of touch and plugging them into an AI model, enabling them to "learn" and carry out tasks in a matter of hours.
Big Tech companies like Google, Amazon, and Microsoft are pushing generative AI assistants for their products and services, but it remains to be seen if consumers will actually use and adopt these tools, as previous intelligent assistants have not gained widespread adoption or usefulness. The companies are selling the idea that generative AI is amazing and will greatly improve our lives, but there are still concerns about trust, reliability, and real-world applications of these assistants.
Microsoft and Google have introduced generative AI tools for the workplace, showing that the technology is most useful in enterprise first before broader consumer adoption, with features such as text generators, meeting summarizers, and email assistants.
Google has introduced new generative AI features in Google Workspace, such as Smart Compose and Smart Reply in Gmail, to help users be more productive and creative in tasks like writing emails, creating images, and proofreading documents. These features are experimental and can be accessed by anyone with a Google account and Chrome browser, and Google is also developing more AI-powered tools in the future.
Getty Images has launched Generative AI, a tool that combines their creative content with AI technology to provide customers with commercially safe generative AI for visual design.
Google is expanding its generative AI search experience to teenagers, allowing them to ask questions in a conversational manner and introducing safeguards to protect them from inappropriate content, as well as adding more context to search results and improving the model's ability to detect false or offensive queries.
Google is introducing Google-Extended, a part of robots.txt, to give web publishers control over whether their sites contribute to improving AI training data for generative APIs.
Google is expanding the Search Generative Experience to include 13 to 17-year-olds in the US, with added safety measures and an AI Literacy Guide to promote responsible use.
Generative AI is an emerging technology that is gaining attention and investment, with the potential to impact nonroutine analytical work and creative tasks in the workplace, though there is still much debate and experimentation taking place in this field.
Google plans to add generative artificial intelligence capabilities to its virtual assistant, allowing it to provide personalized help with reasoning and generative capabilities on mobile devices.
Google Assistant is set to undergo a significant upgrade with the introduction of Bard, a generative AI technology that will enhance its capabilities by integrating personalized help, reasoning, and generative capabilities to provide proactive and efficient assistance across multiple channels.
Generative AI has the potential to transform various industries by revolutionizing enterprise knowledge sharing, simplifying finance operations, assisting small businesses, enhancing retail experiences, and improving travel planning.
Google is introducing generative AI updates to the Google Home app, allowing users to ask questions and receive natural language responses, as well as create custom automations using generative AI code.
The BBC has outlined its principles for evaluating and utilizing generative AI, aiming to provide more value to its audiences while prioritizing talent and creativity, being open and transparent, and maintaining trust in the news industry. The company plans to start projects exploring the use of generative AI in various fields, including journalism research and production, content discovery and archive, and personalized experiences. However, the BBC has also blocked web crawlers from accessing its websites to safeguard its interests.
Google's Asia Pacific President, Scott Beaumont, has stated that the company will focus on generative artificial intelligence technology as it explores new markets in the Asia-Pacific region, highlighting Asia as a crucial opportunity for learning and growth.
The addition of generative AI to Google Search could increase its energy consumption by more than tenfold, potentially resulting in a significant carbon footprint and environmental impact.
Google has announced the launch of its Search Generative Experience (SGE), allowing users to create images and written drafts from text prompts, similar to Microsoft's OpenAI-based Bing Chat feature. The tool is powered by Google's Imagen family of AI models and includes features to refine queries and generate AI-generated images from Google Images. The company emphasizes responsible deployment and restricts certain types of images, while also enabling export of drafts to Google Docs or Gmail.
Google is testing new AI-powered features in its experimental Search Generative Experience (SGE), including image generation and draft content creation, to help users visualize ideas and generate written content while searching. Safeguards are in place to prevent misuse and maintain user privacy.
Google is introducing a new policy to defend users of its generative AI systems on Google Cloud and Workspace platforms against intellectual property violation claims, covering both the use of copyrighted works for training AI and the output generated by the systems.
Google is experimenting with a new feature within its AI-powered Search Generative Experience that allows users to generate AI images directly from within Google Search by typing a text description.
Google has announced new AI features for Google Search, allowing users to generate images and get writing inspiration using generative AI capabilities.
Google has introduced a new search tool called Search Generative Experience (SGE) that uses generative AI to create summaries in response to search queries, raising concerns among publishers about web traffic, attribution, and compensation.
Generative artificial intelligence (AI) is a subset of AI that uses machine learning to generate new data, designs, or models based on existing data, offering streamlined processes and valuable insights for various engineering disciplines.
