- for syncthing. it aint a backup solution. but it makes life simpler
PoisonedPrisonPanda
joined 2 years ago
oh yes. please feed my anxiety.
simply encrypt the files before sending?
I mean that calling deepseek out for shady privacy practice is fine, but by open sourcing their model they are at least better than most american providers.
hmm. and data transfer to america is fine?
deepseek made it possible to use the model offline as well. I dont see why we have to be hypocrits here.
edit: yes I know its about the app, and for the app the acusation is fair. but in general the news is not as hot as its written here.
appearently when people call they do no like to text. because they have no hands free or whatever
so voicemail is the better option than simply be pissed because i never called back.
If you call and I don’t pick up, leave a voicemail. If you don’t leave a voicemail, I assume it wasn’t important
this a thousand times. IDK when people decided to not use the voicemail anymore.
But to be honest I make it more radical and not even return all calls. because. priority 1 - call, not answered but with a voicemail
priority 2 - unanswered call but a message sent afterwards.
priority 3 - message only.
an unanswered call on my side and no further information is for me simply to forget about it.
it only enabled its operators access to encrypted communications...
what the heck? isnt this much worse than simple microphone access?
well. indeed the devil's in the detail.
But going with your story. Yes, you are right in general. But the human input is already there.
But you have to have human-made material to train the classifier, and if the classifier doesn’t improve, then the generator never does either.
AI can already understand what stripes are, and can draw the connection that a zebra is a horse without stripes. Therefore the human input is already given. Brute force learning will do the rest. Simply because time is irrelevant and computations occur at a much faster rate.
Therefore in the future I believe that AI will enhance itself. Because of the input it already got, which is sufficient to hone its skills.
While I know for now we are just talking about LLMs as blackboxes which are repetitive in generating output (no creativity). But the 2nd grader also has many skills which are sufficient to enlarge its knowledge. Not requiring everything taught by a human. in this sense.
I simply doubt this:
LLMs will get progressively less useful
Where will it get data about new programming languages or solutions to problems in new software?
On the other hand you are right. AI will not understand abstractions of something beyond its realm. But this does not mean it wont expedite in stuff that it can draw conclusions from.
And even in the case of new programming languages, I think a trained model will pick up the logic of the code - basically making use of its already learned pattern recognition skills. And probably at a faster pace than a human can understand a new programming language.
Well. I doubt that very much. Take as an analogy the success of the chess AI which was left training itself - compared to being trained...
view more: next ›