thx. i like that
edit: laughs in german
PoisonedPrisonPanda
joined 2 years ago
- for syncthing. it aint a backup solution. but it makes life simpler
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.
das netz kommt in der tat mit dem ausbau von PV net klar. die netzregler laufen jz schon am limit. solang wir da nicht mehr ausbauen bringts sich nix mehr zu dezentralisieren.
Wenn ich raten müsste eine Kombi aus:
den wirtschaftsmotor namens rene benko nicht vergessen der gerade stottert.
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.
how does LLM training benefit from metadata?