

Hmm yes South Korea isn’t a Global South country. It’s closer to Western countries in terms of politics and economic situation.
Btw is there an age-based or rural-urban division in perception of AI?




Hmm yes South Korea isn’t a Global South country. It’s closer to Western countries in terms of politics and economic situation.
Btw is there an age-based or rural-urban division in perception of AI?


Are you using AI to help you with legal stuff? I don’t think you should use AI for that since it would have data on rules from all sorts of places, and might not be up to date on laws in your place. Or you could train an AI on exclusively the data in your area, but then (1) you’d need hundreds of models, and (2) they would be much less powerful since the training data is a lot less.


Most lemmy users live in countries which are run for a rich few, rather than the general public. Technology, including AI, is also used to benefit the rich, often at the cost of the rest of the population. Unfortunately this leads to people hating the technology rather than the political system.
There was a recent survey where they pointed out how people in English-speaking countries are most concerned about AI (because it is used against the people there) while people in the Global South are most positive about it (because it is used to benefit them). Here’s the summary chart:-



we already have better skills than a general LLM
Can you read a thousand pages of tech documentation and find every reference that could be relevant to the issue you’re having in minutes? Then no, you don’t always have ‘better skills than a general LLM’. Humans are better at some things. Computers are better at some things. Use the right tool for the job.


Arundhati Roy’s The Ministry of Utmost Happiness is about the horrors (and occassionally the beauty) of being an outcast in modern-day Delhi. Another of Roy’s works is The Briefing, a short story in the form of a speech given by a guerilla leader to their followers as they are about to attack a fortress in the Alps.


Install Ubuntu and see if you can get your games and video editing software to work. If you can’t, go for CachyOS.
Why Ubuntu first? Because millions of people have been using it for years. When something breaks, you’ll be able to fix it because someone else would have already encountered this issue before and reported it.


They’re talking about dual-booting Windows and Linux. Dual-booting two Linuxes (Lini?) should be fine.


The Disappearance of Haruhi Suzumiya, but only if it can be as insane as the original.
Unified Payments Interface. It is an instant payment system developed by the National Payments Corporation of India. You need an Indian bank account or debit (ATM) card and a smartphone (some feature phones can also use UPI). You install any one of the UPI apps, and bind your account / card to it. You can send money to someone by entering their mobile number, UPI ID (any unique alphanumeric string that isn’t already taken; this is useful if you want to hide your number) or QR code (most shops will display this at the entrance). The NPCI sets the standard and maintains the backend; users can use any standard-compliant app. It is also okay if the recipient uses a different app from the sender.
There is no fees for personal transactions, and business transactions up to Rs. 2,000. Business transactions above that will be charged 0.4% starting tomorrow, but this is still lower than what most cards charge.
Outside of India, UPI is interoperable with the national payment systems of Singapore, Malaysia, Oman and Qatar, and with some banks in the UAE.
deleted by creator
No problem. Hope your financial independence efforts succeed.
I think that was me. I’m Indian, but I was talking based on what I knew about the US banking system and assuming it would be similar for Canada.
But this only works if the shop accepts cards, right? Smaller shops in India have almost all dropped card readers for UPI QR codes.


it seems the intent is for the peer review to happen there
That’s not how this works! That’s not how any of this works! You submit to some journal, who sends your work to 2-3 other scientists in the field (often anonymously, to reduce bias). There are cases of scientists ignoring journals and just posting their results to repositaries like arXiv, but that’s the exception rather than the rule. Anyway, GitHub is not an acceptable place to publish your findings, since it allows you to make changes later on.
the harm in forcing people to publish before they are ready by stealing their work.
That, again, is an issue that existed long before LLMs.


No, they published them on GitHub. Meaning they aren’t peer-reviewed. In the current scientific system, peer review is almost always necessary for your work to be taken seriously. If the original authors can get their work published first, they still get precedence. Plus, there have been a number of cases where X discovers and publishes something, Y rediscovers and publishes it a few years later, and Y gets the credit for whatever reason (usually racism or money).
The scientists were naive to hand over their ideas to a shady closed-source model. I don’t think what OpenAI did is acceptable, but it is something that already happens without any LLM involvement, so I’m just not as shocked as you are.




Hey, what do you have against Iranian children having a little fun?


The heated inflatable bouncy castle some Chinese businesswoman was advertising on Twitter.


From what I understood from that article, OpenAI scooped the work of a couple of mathematicians (one an OpenAI employee, and both using OpenAI’s tools) and claimed it as their own. Stealing others’ work is not commonplace in science, but it does happen. The lesson here is to not trust OpenAI / Anthropic with your data or ideas, and to use local AI or at least less shady services. Also, the mathematicians will still get credit if they publish the findings first in a scientific journal, arXiv or conference - blogs and press releases sadly don’t count in academia.
In the US, each state can have its own laws, right? How does the AI handle this?
Also, how does it understand grammar? Wouldn’t it first need to be trained on a large corpus of text?