Web Trending News Trending News
Microsoft Bing’s Deep Search
Microsoft Bing has recently introduced a groundbreaking feature called Deep Search, which is powered by artificial intelligence (AI) and has the potential to transform the way we search online. Deep Search, launched on December 5th, 2023, is currently being tested by a select group of users. This innovative feature utilizes GPT-4 (an advanced AI model) to provide detailed and relevant answers to complex and ambiguous queries, offering a more comprehensive search experience compared to traditional search engines.
The Power of Deep Search
Deep Search is designed to handle complicated and unclear questions that standard search engines may struggle with. It goes beyond providing basic information and offers users specific and detailed answers. For example, if you were searching for loyalty card programs in Japan,
Deep Search in Bing would not only provide you with Wikipedia links or blog posts but also present a comprehensive list of popular loyalty cards in Japan. It includes detailed information such as logos, descriptions, benefits, website links, a comparison table, a map showing store locations, and even a graph displaying market shares. This wealth of information is generated by Deep Search using GPT-4 and is based on your search query and web data.
How Does Deep Search Work?
Deep Search is not intended to replace Bing’s traditional search function; instead, it is an additional feature that enhances the search experience. Deep Search combines the AI capabilities of GPT-4 with Bing’s search technology to filter and sort results based on relevance, detail, credibility, and regency. It merges Bing’s search functionality with GPT-4’s AI capabilities, resulting in a unique and powerful search experience. What sets Deep Search apart is its versatility in terms of search inputs. Users can utilize natural language, pictures, or even voice commands to search. Deep Search can handle multiple types of input simultaneously, such as text and image. For instance, users can upload a photo of a dog and ask Deep Search to identify its breed.
The User Experience
Microsoft has provided a glimpse of the Deep Search user interface, and it is truly impressive. The search box allows users to switch between regular search and Deep Search, and it features icons for text, image, and voice inputs. A progress bar indicates the estimated time for results to be generated, which varies depending on the complexity of the query. The results are presented in an interactive format, with tabs, tables, maps, graphs, and more. Users can also filter and refine the results to suit their specific needs.
Accuracy and Relevance of Results
Deep Search evaluates the accuracy and quality of its results by closely matching them to the user’s search query, considering factors such as detail, trustworthiness, and recency. It provides quality indicators, such as ratings or verification badges, and continually improves its performance based on user feedback. However, there are a few drawbacks to Deep Search.
Firstly, it may take slightly longer to generate results compared to traditional search engines due to the involvement of GPT-4. Secondly, Deep Search is currently only available to a limited group of users, such as Microsoft researchers and select partners. It remains uncertain when or if it will be accessible to the general public, as well as whether it will be offered free of charge.
Deep Search: Implications for Users and SEO
For regular internet users, Deep Search can be a valuable tool for finding answers to challenging questions that may be missed by conventional search engines. Its user-friendly and interactive interface adds a sense of enjoyment to the search experience.
However, for website owners and developers, Deep Search presents some challenges. Websites may not receive as much visibility in search results due to Deep Search’s ability to provide direct answers. This may necessitate adjustments to improve website visibility in Bing searches. Nevertheless, Deep Search also opens up new opportunities for optimizing websites to align with this enhanced search experience. Microsoft describes Deep Search as a fresh way to utilize AI to explore the web, emphasizing its commitment to making AI beneficial and accessible to all.
Introducing the AI Alliance
While Deep Search stands as an impressive innovation, there are other significant developments taking place in the AI industry that demand our attention. One such development is the formation of the AI Alliance. This initiative brings together more than 50 prominent companies, universities, charities, and other groups to promote open and responsible AI innovation.
The AI Alliance was announced on December 6th, 2023, by IBM and Meta (formerly Facebook). Its primary objectives include ensuring AI safety, fostering collaboration and idea sharing among groups, incorporating diverse perspectives in AI development, and ensuring that AI benefits society and the economy. The AI Alliance aims to collaborate with governments and other important entities to ensure ethical AI usage and compliance with established standards.
The Powerhouses Behind the AI Alliance
The AI Alliance comprises influential companies from various fields, including AMD, Dell Technologies, Red Hat, Sony Group, Hugging Face, Stability AI, Oracle, and the Linux Foundation. These companies collectively invest over $80 billion annually in research and development. Such substantial resources and expertise enable the AI Alliance to create groundbreaking AI systems that have the potential to address significant challenges in areas such as healthcare and education.
The Functioning of the AI Alliance
The AI Alliance has established a governing board and a technical oversight committee to facilitate its operations. The governing board consists of representatives from each member company and is responsible for setting the alliance’s primary goals and plans. The technical oversight committee comprises experts from various fields and is entrusted with establishing standards and best practices. Moreover, the AI Alliance intends to collaborate with other AI groups and initiatives. Academic institutions, including CERN, NASA, the Cleveland Clinic, and several universities, will contribute scientific advice, data, tools, and resources to make AI more accessible and foster collaboration.
Meta’s Role in the AI Alliance
Meta, one of the leaders in the AI industry, actively supports open-source AI models and responsible development. The company has released significant AI models for public use and developed platforms and tools to facilitate their utilization.
Meta has also been focused on ensuring AI safety. However, some controversial decisions, such as dissolving the responsible AI team, have raised concerns. Meta asserts that this decision was part of a reorganization effort, and the team members have been allocated to other AI-related teams within the company. Despite skepticism regarding Meta’s actions, its involvement in the AI Alliance reflects a commitment to responsible AI development.
The Frontier Model Forum
It is important to note that not all major AI developers are part of the AI Alliance. Companies like Microsoft, Google, OpenAI, and Anthropic have formed a separate group called the Frontier Model Forum. This group focuses on the responsible development of large-scale generative models, which are highly advanced AI models capable of creating realistic content such as text and images.
Conclusion
The introduction of Deep Search by Microsoft Bing and the formation of the AI Alliance represent significant advancements in the field of AI. Deep Search’s ability to provide detailed and relevant answers to complex queries demonstrates the power of AI in improving the search experience.
The AI Alliance, consisting of influential companies and institutions, is poised to shape the future of AI development and usage with a strong focus on safety, collaboration, and inclusivity. While there may be valid concerns surrounding the actions of individual players, the overall efforts of these initiatives hold great promise for the responsible and impactful application of AI in society.
