# Google announces 'Bard' powered by LaMDA

See: [https://blog.google/technology/ai/bard-google-ai-search-updates/](https://blog.google/technology/ai/bard-google-ai-search-updates/)

Key claims:

> Today, the scale of the largest AI computations is [doubling every six months](http://arxiv.org/abs/2202.05924), far outpacing Moore’s Law. At the same time, advanced generative AI and large language models are capturing the imaginations of people around the world. In fact, our [Transformer](https://arxiv.org/abs/1706.03762) research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today.

> We’re releasing it initially with our lightweight model version of LaMDA. This much smaller model requires significantly less computing power, enabling us to scale to more users, allowing for more feedback. We’ll combine external feedback with our own internal testing to make sure Bard’s responses meet a [high bar for quality, safety and groundedness](https://ai.googleblog.com/2022/01/lamda-towards-safe-grounded-and-high.html) in real-world information. We’re excited for this phase of testing to help us continue to learn and improve Bard’s quality and speed.

Note: It seems there is no release date yet.

> We have a long history of using AI to improve Search for billions of people. BERT, one of our first Transformer models, was revolutionary in understanding the intricacies of human language. Two years ago, we introduced MUM, which is 1,000 times more powerful than BERT and has next-level and multi-lingual understanding of information which can pick out [key moments in videos and provide](https://blog.google/products/search/key-moments-video-search/) critical information, including [crisis support,](https://blog.google/products/search/using-ai-keep-google-search-safe/?_ga=2.98664346.52992333.1675136960-653895777.1637261672) in more languages.
> 
> Now, our newest AI technologies — like LaMDA, PaLM, Imagen and MusicLM — are building on this, creating entirely new ways to engage with information, from language and images to video and audio. We’re working to bring these latest AI advancements into our products, starting with Search.

> AI can be helpful in these moments, synthesizing insights for questions where there’s no one right answer. Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner. These new AI features will begin rolling out on Google Search soon.

> Next month, we’ll start onboarding individual developers, creators and enterprises so they can try our Generative Language API, initially powered by LaMDA with a range of models to follow. Over time, we intend to create a suite of tools and APIs that will make it easy for others to build more innovative applications with AI. Having the necessary compute power to build reliable and trustworthy AI systems is also crucial to startups, and we are excited to help scale these efforts through our Google Cloud partnerships with [Cohere](https://cloud.google.com/blog/products/ai-machine-learning/accelerating-language-model-training-with-cohere-and-google-cloud-tpus), [C3.ai](https://c3.ai/partners/googlecloud-partnership/) and [Anthropic](https://www.prnewswire.com/news-releases/anthropic-forges-partnership-with-google-cloud-to-help-deliver-reliable-and-responsible-ai-301738512.html), which was just announced last week.

Note: It's unclear if the 'Generative Language API' is referring to 'Bard' or another service.

> In 2018, Google was one of the first companies to publish a set of [AI Principles](https://ai.google/principles/). We continue to provide education and resources for our researchers, partner with governments and external organizations to develop standards and best practices, and work with communities and experts to make AI safe and useful.