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Cake day: June 26th, 2023

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  • Counterpoint: a lot of the time, no one actually tells you why they don’t want to be your friend. People want to be polite and avoid talking about your negative traits, but they end up just perpetuating them because you don’t know how to improve.

    In addition, not everyone has a choice in how they present themselves. If someone has a physical or mental disability they might slur words, put weird emphasis on words, or do other things that disturb other people.






  • stingpie@lemmy.worldtoMemes@lemmy.mlCapitalist logix
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    1 month ago

    You say it’s the goal of the proletariat to protect the revolution, but why would they? Each proletariat would benefit from the revolution’s failure- they could live better lives as the bourgeois. You talk about the proletariat like they are some monolithic entity, with a single mind and goal. You talk big about helping the individual, but cannot see beyond their class. The proletariat is a person, with needs, desires and opinions. What father would hold the abstract ideals of the “revolution” over the life of his sick daughter? Any father I know would do anything for the safety of his children, even hoard life-saving medicine from others.









  • To be precise, newspeak does function by a direct reduction of vocabulary. Instead, newspeak works by expanding the number of meanings a single word can have, so that every sentence can be interpreted as supportive of the party, and the ‘grammatically correct’ meaning of the sentence is the supportive interpretation.

    The closest approximation of newspeak in English is the sentence “That didn’t work, did it?” If you respond “Yes,” that can be interpreted as “Yes, you are correct, that didn’t work.” And if you reply “No,” that can’t be interpreted as “No, that didn’t work.”




  • Let’s play a little game, then. We bothe give each other descriptions of the projects we made, and we try to make the project based on what we can get out of ChatGPT? We send each other the chat log after a week or something. I’ll start: the hierarchical multiscale LSTM is a stacked LSTM where the layer below returns a boundary state which will cause the layer above it to update, if it’s true. the final layer is another LSTM that takes the hidden state from every layer, and returns a final hidden state as an embedding of the whole input sequence.

    I can’t do this myself, because that would break OpenAI’s terms of service, but if you make a model that won’t develop I to anything, that’s fine. Now, what does your framework do?

    Here’s the paper I referenced while implementing it: https://arxiv.org/abs/1807.03595


  • Sorry that my personal experience with ChatGPT is ‘wrong.’ if you feel the need to insult everyone who disagrees with you, that seems like a better indication of your ability to communicate than mine. Furthermore, I think we’re talking about different levels of novelty. You haven’t told me the exact nature of the framework you developed, but the things I’ve tried to use ChatGPT for never turn out too well. I do a lot of ML research, and ChatGPT simply doesn’t have the flexibility to help. I was implementing a hierarchical multiscale LSTM, and no matter what I tried ChatGPT kept getting mixed up and implementing more popular models. ChatGPT, due to the way it learns, can only reliably interpolate between the excerpts of text it’s been trained on. So I don’t doubt ChatGPT was useful for designing your framework, since it is likely similar to other existing frameworks, but for my needs it simply does not work.