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Hello everybody
I wish to tackle the latest points with problematic textual content and picture responses within the Gemini app (previously Bard). I do know that a few of its responses have offended our customers and proven bias — to be clear, that’s fully unacceptable and we obtained it flawed.
Our groups have been working across the clock to deal with these points. We’re already seeing a considerable enchancment on a variety of prompts. No Al is ideal, particularly at this rising stage of the trade’s growth, however we all know the bar is excessive for us and we are going to hold at it for nevertheless lengthy it takes. And we’ll overview what occurred and ensure we repair it at scale.
Our mission to prepare the world’s data and make it universally accessible and helpful is sacrosanct. We’ve at all times sought to provide customers useful, correct, and unbiased data in our merchandise. That’s why individuals belief them. This needs to be our strategy for all our merchandise, together with our rising Al merchandise.
We’ll be driving a transparent set of actions, together with structural modifications, up to date product tips, improved launch processes, strong evals and red-teaming, and technical suggestions. We’re trying throughout all of this and can make the required modifications.
Whilst we study from what went flawed right here, we also needs to construct on the product and technical bulletins we’ve made in Al during the last a number of weeks. That features some foundational advances in our underlying fashions e.g. our 1 million long-context window breakthrough and our open fashions, each of which have been nicely acquired.
We all know what it takes to create nice merchandise which might be used and beloved by billions of individuals and companies, and with our infrastructure and analysis experience we’ve an unbelievable springboard for the Al wave. Let’s concentrate on what issues most: constructing useful merchandise which might be deserving of our customers’ belief.
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