| I am against this. 1) This will be a new source of fingerprinting information and this is difficult to fake to fool fingerprinting scripts, so it can be abused for "device verification". There should be no ability to "verify" a browser, and anyone should be able to emulate any browser. This is the most important point, I thought Google people are smart enough to see it. 2) LLMs use lot of memory and CPU time, for many users they would slow down their system significantly, and given current RAM prices, upgrades are very expensive. If the website relies on local model, it would work slow on cheap devices. 3) The API seems to be tailored for specific LLM like OpenAI. 4) This can be used to push competitors who do not have an AI model from the browser market - the sites would break because they will be made with expectation of having Google Gemini model and would not work with other models. For example, the sites would break in national browsers not having an AI model. There should be no "first-class" and "second-class" browsers. The explainer claims that this would allow the user to process the data locally without sending it anywhere. But why does Google Gemini local model have "Prohobited Use Policy" then? Why should they bother about prompts and responses they never learn about? While offline LLM access seems like a good idea, the website could use WebGPU for this without building LLM into the browser (or they could improve WebGPU for better handling ML models). Or everyone should use the same, open source, LLM. |
Google just points towards the money like other bacterium and beats its flagella until it gets there. I don't know why or how anyone would EVER think Google is going to do something good for the web or humanity.