We’re looking at how we can use local, on-device AI models – i.e., more private – to enhance your browsing experience further. One feature we’re starting with next quarter is AI-generated alt-text for images inserted into PDFs, which makes it more accessible to visually impaired users and people with learning disabilities. The alt text is then processed on your device and saved locally instead of cloud services, ensuring that enhancements like these are done with your privacy in mind.
IMO if everything’s going to have AI ham fisted into it, this is probably the least shitty way to do so. With Firefox being open source, the code can also be audited to ensure they’re actually keeping their word about it being local-only.
With it being local it’s probably a small and limited model. I took a couple courses on machine learning years ago (before it got rebranded as “AI”), and you’d be surprised at how well a basic image recognition model can run on the lowest-spec macbook from 2012.
IMO if everything’s going to have AI ham fisted into it, this is probably the least shitty way to do so. With Firefox being open source, the code can also be audited to ensure they’re actually keeping their word about it being local-only.
Don’t you need specific CPUs for these AI features? If so, how is this going to work on the machines that don’t support it?
With it being local it’s probably a small and limited model. I took a couple courses on machine learning years ago (before it got rebranded as “AI”), and you’d be surprised at how well a basic image recognition model can run on the lowest-spec macbook from 2012.
Running AI models isn’t that resource intensive. Training the models is the difficult part.
The feature will obviously just be disabled on machines that don’t support it.