i mean theres kind of no way around it. how else are you gonna get the training data you need? the only way to bootstrap ai is to tag the data with bio-ai first (humans).
different companies 'launder' it differently: with voice, it was done by "accidental" voice assistant activations. i guess with glasses, maybe there will be less window dressing this time. after all, it is clearly pitched to see what you see, at all times of the day.
similar controversy happened with the various roomba products, although arguably that was a combination of data harvesting + lazy engineering.
actually, it really is not neccesarily a 'hardware company' thing. ive been in 'hardware companies' where the rtl was just as available for viewing as the rest of the firmware/software.
in big hardware companies, things start getting siloed, but that probably has more to do with big companies (seemingly invariably) operating as a union of fiefdoms (dunbar-number-ification?)
but doesn't the empirical evidence reject this premise?
if the greatest minds of earth, in their wisdom, have all collectively concluded that the smartest thing for them to do is make as much money as humanly possible, then evidently the greatest calling for mankind is... to be wealthy!
and the older i get the harder it becomes to argue with such a perspective... hmm... maybe i am getting closer to wisdom? haha!
> It feels so much better to ask humans a question then the machine
I could not disagree more! With pesky humans, you have all sorts of things to worry about:
- is my question stupid? will they think badly of me if i ask it?
- what if they dont know the answer? did i just inadvertantly make them look stupid?
- the question i have is related to their current work... i hope they dont see me as a threat!
and on and on. asking questions in such a manner as to elicit the answer, without negative externalities, is quite the art form as i'm sure many stack overflow users will tell you. many word orderings trigger a 'latent space' which activates the "umm, why are you even doing this?" with the implication begin "you really are stupid!", totally useless to the question-asker and a much more frustrating time-waster than even the most moralizing LLM.
with LLMs, you don't have to play these 'token games'. you throw your query at it, and irrespective of the word order, word choice, or the nture of the question - it gives you a perfectly neutral response, or at worst politely refuses to answer.