Ben Thompson has been saying that they need to collect user data (like google) for a decade.
It seems the botched Apple Intelligence release changed some minds, a little bit.
That still doesn’t give them the right to mine the data that their users entrusted to them though a paid service.
It doesn’t matter how anonymised their harvesting is, they had an agreement with their subscribers not to invade their privacy like this.
We are better off with a LLM that doesn’t work than abusing the data entrusted to them by their users.
It won’t be long until the LLM bubble bursts and we all laugh about how stupid we were to think they had any use whatsoever.
I guess you didn’t see the several points in the article where they make it clear that it is “opt in”?
I do look forward for the bursting of the LLM bubble, but the article isn’t just about LLM.
Is this the same “Opt-In” as keeping Apple Intelligence disabled between software updates?
Apple are haemorrhaging a lot of hard earned goodwill every time they try to move forward with their own AI.
Much like Google and ms is doing
Anyone who uses gMail knows (or should know) that their data is being used for commercial purposes. Any business that uses Google.Business or MS Office should also be aware that they are giving away all their corporate secrets, regardless of any “Opt-In”/“Opt-Out” broken promises.
They already admitted they aren't generating profit from it
If they get Apple Intelligence into a functional form, (and not an embarrassing hilarious punchline in an anecdote), the will be profiting of my data.
They can claim that it is Opt-In only (until a bug the next software update ‘accidentally’ changes my Opt-out status) and they can Anonymize my data, but that still doesn’t change the fact that they inferred that hey wouldn’t use my data.
At least their user abuse is still less than Mozilla and Google threw out the “Don’t be Evil” motto decades ago…
Oh look, it's the second shoe dropping.
Was working on a simulator and needed random interaction data. Statistical randomness didn't capture likely scenarios (bell curves and all that). Switched to LLM synthetic data generation. Seemed better, but wait... seemed off 🤔. Checked it for clustering and entropy vs human data. JFC. Waaaaaay off.
Lesson: synthetic data for training is a Bad Idea. There are no shortcuts. Humans are lovely and messy.
It would be nice if they actually fixed the stability issues in Apple Intelligence before they start adding more layers of slop to it. Writing tools summarization has been broken off and on since it launched.
Holy crap , this is really intrusive. It's opt in, but who would opt in to this harvesting at all?
Opt in means they’re building up the infrastructure to make it opt-out when nobody is looking.
And then "accidentally" lose the opt-out setting every other update or so.
This is a most excellent place for technology news and articles.
