where does it say turning it off deletes the data? it doesn't even say that turning it off stops them scanning your photos. the option is "do you want to see the AI tags" Google search history is the same. Turning off or deleting history only affects your copy of the data.
removing methods to circumvent monitoring and control of information makes it easier for a bad actor to take advantave of these tools. Yes it's nice for the good guys to be able to keep their code secure, but do you want a dictator to be able to do that?
he's saying that the label Autism includes different traits that various people have or don't have. He's falsely using that semantic manipulation to imply that people use it as an excuse not to deal with the conplexities of life.
saying "that's insulting" doesn't impact his assertion. you have to meet their logic where it is to disagree. lucky this case was so easy.
democracy is the process of defining what the laws are and who enforces them. The executive branch is not allowed to decide what laws to enforce. That's what an autocracy is.
sometimes I use todod for regex search and replace to refactor later. like to mark all the places where I want to later change the logging level, but for now I want to info log the query headers.
maybe that includes the software and hardware to run the stoplight, the salaries of the operators and maintenance etc and their admin staff, and the all the analysis to figure out when it should be red/green, all that stuff.
how long you amortize the R&D prices over is important too. Do significant discoveries remain relevant for long enough to have enough time to spread the cost out?
I'd bet in the current ML market advamces are happening fast enough that they aren't factoring the R&D cost into pricing rn. In fact getting user's to use it is probably giving them a lot of value. Think of apl the data.
afair I've mostly only used fold when doing maths not covered by the standard sum or product. Fold is similar to map reduce but it's just one expression.
the point seems to be making a small binary to run language model.
How useful is that?
From a functional perspective, I guess not very but the model can be improved.
From a performance / cost perspective, also not very because most of the cost is in training the model and small binary isn't necessarily indicative of quick.
I guess it's just kind of interesting that it doesn't take that much code to run the model.
all facial grouping data will be permanently removed within 30 days