Activist Post
Google has launched Gemini, a new artificial intelligence (AI) system that can seemingly understand and talk intelligently about almost any kind of prompt – pictures, text, speech, music, computer code and much more.
This type of AI system is known as a multimodal model. It’s a step beyond just being able to handle text or images as previous ones have. And it provides a strong hint of where AI may be going next: being able to analyse and respond to real-time information coming from the outside world.
Although Gemini’s capabilities might not be quite as advanced as they seemed in a viral video, which was edited from carefully curated text and still image prompts, it is clear that AI systems are rapidly advancing. They are heading towards an ability to handle more and more complex inputs and outputs.
To develop new capabilities, AI systems are highly dependent on the kind of “training” data they have access to. They are exposed to this data to help them improve at what they do, including making inferences such as recognising a face in a picture, or writing an essay.
At the moment, the data that companies such as Google, OpenAI, Meta and others train their models on are still mainly harvested from digitised information on the internet. However, there are efforts to radically expand the scope of the data that AI can work on. For example, by using always-on cameras, microphones and other sensors, it would be possible to let an AI know what is going on in the world as it happens.
Real-time data
Google’s new Gemini system has shown that it can understand real-time content such as live video and human speech. With new data and sensors, AI will be able to observe, discuss and act upon occurrences in the real world…
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