I am not famous enough (yet!) to interview Sundar Pitchai, so I thought why not interview Google’s latest addition to docs!

I am not famous enough (yet!) to interview Sundar Pitchai, so I thought I can take another route by interviewing Google’s latest addition to docs, one of my most used tools!


I use Google Docs to write my articles. I suddenly got a prompt asking me if I wanted to use labs. I nonchalantly said, “yes”. Turns out it can write this article for me. So I am going to experiment writing this article using the labs tool…

For the unversed, I clicked on something like this to type in my question

Then I typed my question and I could choose to shorten or lengthen the article and insert it!

And voila am done! So let’s begin interviewing Google Labs!

Q – What is Google Labs and what do they do?

Google Labs was a website where Google tested new products and features. It was launched in 2002 and discontinued in 2011. Some of the products that were tested on Google Labs include Google Reader, Google Maps Street View, and Google Instant.

Google Labs was a great way for Google to get feedback on new products and features. It also allowed users to try out new products before they were released to the public.

Google Labs Logo (Image Credit: Wikipedia)

Q – What does the Labs writing tool use?

Labs says..’You are currently using a large language model, also known as a conversational AI or chatbot trained to be informative and comprehensive. I am trained on a massive amount of text data, and I am able to communicate and generate human-like text in response to a wide range of prompts and questions. For example, I can provide summaries of factual topics or create stories.’

Q – Where does Google Labs get its data from?

Google Labs gets its data from a variety of sources, including:

  • Search results: Google collects data on the search terms that people use, which helps them improve the accuracy and relevance of their search results.
  • User activity: Google collects data on how people use its products and services, which help them understand how to make those products and services better.
  • Third-party sources: Google also collects data from third-party sources, such as surveys and public records.

Google uses this data to improve its products and services, to develop new products and services, and to target advertising.

AI-powered Magic Compose. (Image Credit: Google Labs)

Q – Can I have a formal view of the answer above?

Google Labs obtains its data from a variety of sources, including:

  • User-submitted data: Google collects data from users when they use Google products and services, such as search, Gmail, and Maps. This data can include things like search queries, location information, and website visits.
  • Third-party data: Google also partners with third-party companies to collect data. For example, Google might partner with a company to collect data about people’s shopping habits.
  • Publicly available data: Google also collects data from publicly available sources, such as government websites and news articles.

Q – Can you shorten the answer for where Google Labs gets its data from?

  • User-submitted data, such as search queries, Gmail messages, and location history.
  • Data from third-party sources, such as websites and apps.
  • Data collected by Google’s own sensors and devices, such as the Google Maps app and the Google Assistant.
Supercharge learning and ideation with AI. (Image Credit: Google Labs)

Q – This is fantastic. What will Google Labs struggle to answer?

I am glad you think so! Google Labs is a great resource, but it is not perfect. It can sometimes struggle to answer questions that are too open-ended, too specific, or too complex. It can also be difficult for Google Labs to understand questions that are written in a natural language format. Overall, Google Labs is a powerful tool, but it is important to remember that it is not a replacement for human intelligence.

Q – What is the difference between Labs and ChatGPT?

Labs and ChatGPT are two different AI language models. Labs is a large language model from Google AI, while ChatGPT is a large language model from OpenAI. Labs is trained on a massive dataset of text and code, while ChatGPT is trained on a dataset of text and code that is specifically designed for conversations. This means that Labs is better at generating text that is factual and accurate, while ChatGPT is better at generating text that is creative and engaging.

Here are some other differences between Labs and ChatGPT:

  • Labs is still under development, while ChatGPT is already available to the public.
  • Labs is more expensive to use than ChatGPT.
  • Labs is only available in English, while ChatGPT is available in multiple languages.

Ultimately, the best AI language model for you will depend on your specific needs. If you need a model that is good at generating factual and accurate text, then Labs is a good option. If you need a model that is good at generating creative and engaging text, then ChatGPT is a good option.

Use AI to turn your words into music. (Image Credit: Google Labs)

Q – How will labs help me?

Labs can help you in many ways. They can help you to:

  • Learn new things. Labs can provide you with hands-on experience in a variety of subjects, which can help you to learn and understand new concepts more effectively.
  • Develop your skills. Labs can also help you to develop your skills in a variety of areas, such as problem-solving, critical thinking, and communication.
  • Gain experience. Labs can provide you with the opportunity to gain experience in a variety of fields, which can help you to make informed decisions about your future career.
  • Network with other people. Labs can also provide you with the opportunity to network with other people, which can help you to build relationships and find support.
  • Have fun! Labs can be a lot of fun, and they can provide you with a great way to learn and grow.

If you are looking for a way to improve your education, develop your skills, and gain experience, then labs are a great option.

Q – Now the penultimate question everyone may be thinking of! So if I am using labs to write this article, why am I needed? Lets ask Labs?

Lab said and I quote…

Labs was stumped, leading me to believe I still needed to write this article! Phew! Until it can replace me, let’s take a deep breath and we can keep our jobs for now!

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Uma currently works as a delivery lead in a leading bank managing anti-money laundering projects. She started her career setting up and managing data centers and disaster recovery centers moving on to setting up niche healthcare business analysis teams. She would like to share her experiences and best practices across industries in view of a common user. The comments reflect the author's views and not the bank or Sify's.

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