The update not only refines Bard’s linguistic abilities across various languages and regions but also integrates it with popular Google apps and services to boost productivity.

Some of the key highlights of this update include:

1. Enhancements for Intuitiveness and Creativity: Google has improved Bard’s intuitiveness and creativity, making it more responsive and imaginative.
2. Bard Extensions: Introducing Bard Extensions, which allow Bard to fetch real-time information from platforms like Maps, YouTube, Hotels, and Flights.
3. Integration with Gmail, Docs, and Drive: Users can enable Bard to interact with their Gmail, Docs, and Drive content, allowing it to find, summarize, and answer questions based on personal data.
4. Multilingual Collaboration: Users can collaborate on creative projects across multiple languages and countries seamlessly.
5. Coding Assistance and Topic Exploration: Bard now offers assistance with coding queries and the ability to explore various topics from different perspectives, maintaining high quality and accuracy.

Google acknowledges that user feedback and improvements in the PaLM2 model have enhanced Bard’s intuition and responsiveness. Reinforcement learning techniques have been applied to make Bard more intuitive and imaginative. This update enables collaborative creative projects, multilingual interactions, in-depth coding assistance, and broader topic exploration.

A significant step forward is the introduction of Bard Extensions, which expand Bard’s capabilities by integrating real-time information from Google apps and services. Users can seamlessly access data from Maps, YouTube, Hotels, and Flights to streamline their tasks and projects.

Users can also allow Bard to interact with their Gmail, Docs, and Drive content, making it a valuable partner in organizing and retrieving information. Importantly, Google emphasizes that Google Workspace data won’t be used to train Bard’s public model, and users have the option to disable this feature.

Recognizing the challenges of large language models, Google has integrated Google Search to help users verify Bard’s responses. Users can now double-check Bard’s AI-generated responses by clicking on the [G] button to find content that aligns with or contradicts Bard’s statements. This feature aims to enhance user confidence in AI-generated information.

To foster creativity, Google is making it easier for users to build on conversations shared by others. When someone shares a Bard conversation via a public link, recipients can continue the conversation and further develop ideas.

Google is expanding access to popular features across all supported languages and countries. Users can now upload images with Google Lens, receive Google Search images in responses, and modify Bard’s responses to meet their specific needs. This expansion gives users greater control over their creative processes and opens up new possibilities for using images in prompts and responses.

This update represents a significant leap forward for Bard, making it a more versatile and powerful tool for users across the globe. While these new features are currently available in English, Google plans to roll them out to other languages in the near future. As Google continues to iterate and learn, user feedback remains crucial in shaping Bard’s capabilities.

One user was informed by the AI chatbot that it had been trained using data from Gmail and other sources.

TechEconomy understands that privacy involves the control of personal information is central to many of the social concerns raised by new information technologies.

It would be a complete privacy violation if Bard was actually trained using datasets from Gmail which has millions of users.

However, Google later claimed this was untrue, saying that Bard is a “early experiment” that “will make mistakes.”

“Bard is an early experiment based on Large Language Models and will make mistakes. It is not trained on Gmail data,” the company said in a tweet.

In a another response that has since been deleted, Google also said, “No private data will be used during Barbs [sic] training process.”

In Bard’s initial response to Crawford, the chatbot said it was also trained using “datasets of text and code from the web, such as Wikipedia, GitHub, and Stack Overflow,” as well as data from companies that “partnered with Google to provide data for Bard’s training.”

Google CEO Sundar Pichai has instructed employees to anticipate errors as people begin using Bard.

“As more people start to use Bard and test its capabilities, they’ll surprise us. Things will go wrong,” he wrote in an email to staff on Tuesday, published by CNBC.

Google and Microsoft are aware of AI’s potential to transform many industries. And what has been glaring recently is the commitment to openly and collaboratively develop the technology to maximize its potential for everyone.

The truth is that the web search paradigm hasn’t changed in a long time, but AI can deliver information more fluidly and quickly than traditional methods. With AI, everything is drastically changing. 

The companies are determined to reinvent internet search engines such as Google Search and Microsoft Bing, talking digital assistants such as Alexa and Siri, and email programs such as Gmail and Outlook.

For instance, Google believes its users increasingly want to access information in a more natural, intuitive way using tools such as Google Lens, which allows people to search using images and text.

Bing AI & Google Chatbot

Bing AI is a new version of Bing’s search engine that is powered by an improved version of the same AI technology that powers chatbots. This AI conversationally browses the web. Users will be able to chat with Bing similarly to ChatGPT, asking questions and receiving responses in natural language.

In a blog post, Google said Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. 

“It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. 

That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).”

The bottom line is that individual users’ specific needs and preferences will ultimately determine which of these services they use.

Further, Bing AI includes various features such as visual search, intelligent recommendations, and natural language understanding. It offers a chatbot interface, known as Bing Chatbot, that can assist users with various tasks, such as booking flights, making restaurant reservations, and finding local businesses.

Emphatically, Google Chatbot and Bing AI offer similar functionalities but have different strengths and weaknesses. It also has a wide range of integrations with other Google services, such as Google Maps and Google Calendar, which allow it to provide personalized recommendations based on the user’s previous interactions with those services.

Concerns

Technology has flaws. Because chatbots learn their skills by analyzing massive amounts of text posted on the internet, they can’t tell the difference between fact and fiction and can generate text that is biased against women and people of color.

Google was hesitant to make this type of technology available to the public because executives were concerned that the company’s reputation would suffer if the A.I. generated biased or toxic statements.

According to experts, AI tools are “vast autocomplete systems, trained to predict which word follows the next in any given sentence.” As such, they have no hard-coded database of “facts” to draw on—just the ability to write plausible-sounding statements. 

This means they tend to present false information as truth since whether a given sentence sounds plausible does not guarantee its factuality.

Chatbots learn their skills by analyzing massive amounts of text posted on the internet; they can’t tell the difference between fact and fiction and can generate text that is biased against women and people of color.

For the time being, Google has been hesitant to make this type of technology available to the public because executives are concerned that the company’s reputation will suffer if the A.I. generates biased or toxic statements.

Conclusion

In conclusion, while Google Chatbot and Bing AI are both competitors in the AI space, they are not necessarily competing head-to-head. Each tool has advantages and disadvantages, and users may prefer one based on their specific requirements and preferences.

Arguably, it is fair to mention that Google Chatbot and Bing AI are scrambling for the attention of users. However, it is important to note that these two technologies take different approaches to AI, and thus they may not necessarily compete.