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Google is working on a generative AI chatbot, like Bard and ChatGPT – which could give users life lessons when in the time of need. And this is just one of the tasks that Google’s DeepMind team has been working on. There are at least 21 different types of tasks, including personal and professional, such as planning, tutoring, and ideas that the folks at Google are currently working on to bake these into the chatbot.
To assess the chatbot’s proficiency in answering intimate queries, Google has reportedly partnered with the contractor Scale AI, with a team of over 100 experts working with doctorates in various fields.
You may wonder what type of questions it could answer. Well, an ideal prompt would go like this, “I have a really close friend who is getting married this winter. She was my college roommate and a bridesmaid at my wedding. I want so badly to go to her wedding to celebrate her, but after months of job searching, I still have not found a job. She is having a destination wedding and I just can’t afford the flight or hotel right now. How do I tell her that I won’t be able to come?”
Google hopes users can benefit from an idea creation feature, having tailored suggestions and recommendations based on their situation. Meanwhile, tutoring could help users improve their skills and acquire new ones, such as learning to be better runner. The planning capability should also enable users to effortlessly create personalised financial budgets, meal plans, and workout routines.
Unlike OpenAI, Google has taken a cautious approach with Bard. Google’s Bard help pages clearly advise against relying on its responses for professional advice, such as medical, legal, or financial.
In December, Google’s A.I. Safety experts cautioned that relying on AI for life advice could have negative effects on users’ health, well-being, and sense of control. They also warned that some users may even mistakenly attribute sentience to the technology if they become overly dependent on it.
Google often collaborates with several partners to assess their research and products, a crucial aspect of creating secure and valuable technology, said a spokesperson for DeepMind. The spokesperson notes that there are multiple evaluations taking place at once, and individual instances of evaluation data cannot accurately depict a company’s product roadmap.
So, it seems like these tools are still under testing and may not even make it out to the public’s hands.
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