For translation you can use this. Since you can use Google translation service as the backend(?), it works as good as Google translate atleast in my experience
For translation you can use this. Since you can use Google translation service as the backend(?), it works as good as Google translate atleast in my experience
Good news about page translation, Firefox is adding it, and it’s all done locally too, no phoning home to their or somebody else’s translation servers.
Till then there is this open source extension which provides the same functionality including local offline translation
What I meant by gaps was that nuclear can be used in areas where solar or wind is not feasible yet or in areas where solar or wind cannot fulfill the energy demands.
Also we have very good control over nuclear power generation. There are a variety of methods using which we can control the reaction rate of the fission process
It does not necessarily take nuclear power plants that long to make. Japan built theirs in less than 5 years and France built the majority of their plants needing only 5-8 years per plant.
I am not sure when the narrative around nuclear power became nuclear energy vs renewables when it should be nuclear and renewables vs fossil fuels.
We need both nuclear and renewable energy where we try to use and develop renewables as much as possible while using nuclear energy to plug the gaps in the renewable energy supply
Still the environmental effect of the waste from nuclear energy is far less than the environmental effect of waste from fossil fuel
My friends who took computer science told me that we don’t totally understand how machine learning algorithms work. Though this conversation was a few years ago in college. Will have to ask them again
Damn that’s a high quality image
Artists, construction workers, administrative clerks, police and video game developers all develop their neural networks in the same way, a method simulated by ANNs.
Do we know enough about how our brain functions and how neural networks functions to make this statement?
In an ideal world without greed, you are right in saying that copyright is not beneficial for the human race as a whole. Unfortunately we don’t live in such a world. Look at what happened with insulin. The person invented it placed a ludicrously low priced patent of one dollar because he felt that it should be available cheaply to all who need and yet today in the US, insulin is a ridiculously expensive drug which many people struggle to afford. This is because while the inventor was not greedy and thought about the greater good, the pharmaceutical industry did not. They saw an opportunity to make money and are screwing people in the process
Again that is dependent on how similar the two books are. If I just change the names of the characters and change the grammatical structure and then try to sell the book as my own work, I am infringing the copyright. If my book has a different story but the themes are influenced by another book, then I don’t believe that is copyright infringement. Now where the line between infringement and no infringement lies is not something I can say and is a topic for another discussion
Your probability of getting copyright strike depends on two major factors -
• How similar your story is to Harry Potter.
• If you are making money of that story.
I think a lot of people are not getting it. AI/LLMs can train on whatever they want but when then these LLMs are used for commercial reasons to make money, an argument can be made that the copyrighted material has been used in a money making endeavour. Similar to how using copyrighted clips in a monetized video can make you get a strike against your channel but if the video is not monetized, the chances of YouTube taking action against you is lower.
Edit - If this was an open source model available for use by the general public at no cost, I would be far less bothered by claims of copyright infringement by the model
Idk why they don’t just run the test 3 times and average the result.
Hardware unboxed does this if I remember correctly
Maybe use that information to try and influence the public in the same way that cambridge analytica did for the 2016 elections.