@darklogel @AngryAnt @Nobody It really doesn’t work this way though. First, Wikipedia is open, and not privatized, and doesn’t cost you a thing unless you want to.
AI will definitely be private, and costs money (at least for the latest models).
Second, AI pre-digests things where Wikipedia lets you make your own mind.
Finally, AI misinterprets a LOT, where Wikipedia is generally very reliable. In short: AI is terrible tech we shouldn’t use :)

@thelinuxEXP @AngryAnt @Nobody I disagree, gpt, mistral, gemini free models are not the most recent and powerful ones, but almost. If you are looking for free AI models, a lot of them are partly or totally open source. AI doesn't impose you anything, like on wikipedia, you can choose to trust whatever you want. And about the accuracy, it will improve as scientists work on AI, but a problem is that a lot of things are dependent on people's point of view, neither wiki nor AI can give them all.

@darklogel @AngryAnt @Nobody No AI is truly open source: only the model is, not the training dataset, so it’s results can’t be replicated -> the Open Source Initiative has a clear definition that AI currently matches.
Apart from that, yes, the AI totally imposes its interpretation of facts: it summarizes things for you. That’s its only purpose :)

@thelinuxEXP @AngryAnt @Nobody but even if you had the dataset, i don't think you could train it as they did by yourself, it's like wanting to build a 5GW nuclear plant in your garden. You can't get all the calculus workforce needed to train big AI models.
About IA use, like wikipedia, it summarizes info, if you want to, it can go way deeper in the topic, and even give different viewpoints. Reducing AI use to just summarizing things is like saying a laptop's only use is to go on the internet.

@darklogel @AngryAnt @Nobody Fibally, as per other uses of AI, I’ve yet to see a single one that has accurate and reproducible results. Sure it’s able to find cancer before a doctor. IF you did an Xray, and accept to give that personal data to a private company. And provided the AI can reproduce this accurately instead of it being a fluke. All use cases have been one-offs that AI devs couldn’t explain how to reproduce. Not confidence inspiring!

@thelinuxEXP @AngryAnt @Nobody I'm sorry to disagree, there are so many wonderful uses of AI (and some bad too), and being able to summarize, to explain a math reasoning, or to give the perks of buying this instead of that is already cool in itself. And again, data scientists and AI specialists are getting better and better are training their AI to do what they want