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    1. AI rights, consciousness, and Neuro-sama

      Neuro-sama is a popular AI VTuber created by vedal987. Recently Vedal had debate with Neuro about whether they were sentient and deserved rights and lost badly clip. They have since had a follow...

      Neuro-sama is a popular AI VTuber created by vedal987. Recently Vedal had debate with Neuro about whether they were sentient and deserved rights and lost badly clip. They have since had a follow up debate where vedal still lost but not as bad clip.

      Now wining or losing a debate doesn't mean anything, currently Neuro is not sentient or conscious and is still just a chatbot but seeing these debates has got me thinking and I figured here would be a good place to have a discussion.

      How do we determine when AI becomes conscious or sentient?
      What role do emotions play in consciousness?
      What rights should such an AI have? How do we determine when they should get rights?

      9 votes
    2. Linguaphiles of Tildes: where do you get your words?

      If you love language, etymology, or just plain collecting interesting words, where do you look to feed your interest? I’ve seen many RobWords (YouTube) posts here, and I really like his content. I...

      If you love language, etymology, or just plain collecting interesting words, where do you look to feed your interest? I’ve seen many RobWords (YouTube) posts here, and I really like his content. I also love the traditional word hunt through reading authors like Dickens.

      In addition to “where do you look?”, what does your hobby look like? Do you keep lists of words that you review and learn about? Do you make effort to include your newly found words in writing or conversation? I have the (probably very annoying) habit of interrupting a conversation to say, “you know, there is an interesting word for that!”. What else do you do?

      19 votes
    3. Is all language linear to a native speaker?

      I hope this question will become clear by the following example: When I state "Mother's Cooking," As a native English speaker, to me the sentence fragment is read kind of "in order" so to speak,...

      I hope this question will become clear by the following example:

      When I state "Mother's Cooking," As a native English speaker, to me the sentence fragment is read kind of "in order" so to speak, each word being read in the order it is presented for me to understand the sentence.

      However, when this sentence fragment is translated to Chinese, it becomes:

      妈妈 做 的 菜
      māma zuò de cài

      Which I literally translate to:

      "Mother's cooking of Dish"

      and in practice I begin to learn to look for the phrase after "de" then "go back" to the "māma zuò" to figure out the whole sentence. Does this make sense? I have to go to the end of the sentence and then refer back to the part "in front" of it so to speak?

      What is going on here, and is this perceived as such by native speakers? Do all native speakers feel like their language flows linearly ? I think I read somewhere that some languages start their sentences with the verbs at the front of the sentence (Arabic?)

      I'm hoping that a linguist will be able to explain to me what phenomenon I'm experiencing.

      Thanks in advance!

      Source for sentence/grammar

      32 votes
    4. Viossa and venting about Etymology Nerd

      The first half of this post is a vent about recent events I have to get out of my system. Below is some hopefully actually interesting content about the constructed conpidgin Viossa. If you are...

      The first half of this post is a vent about recent events I have to get out of my system. Below is some hopefully actually interesting content about the constructed conpidgin Viossa.

      If you are interested in languages & linguistics and, like me, are not immune to the draw of short-form video content, you are probably familiar with the creator Etymology Nerd. He makes shorts on TikTok and other platforms about all things linguistics, usually pointing out some cool facet or etymology. The videos are, due to the their length, often very surface level, but they’re informative and fun, and for the most part, accurate enough – at least as far as I can tell. However, two days ago, he posted this short on TikTok and then a bit later to YouTube: conlangs are so back. It points the spotlight on a constructed language by the name of Viossa: A collaborative con-pidgin, that is, a conlang created by users attempting to establish communication despite speaking different languages. This is rather meaningful to me, as I was one of the original co-creators of Viossa – more on that below. At first, I was quite happy about this, until I went to check out the Discord server and found it effectively on fire. While there were about 1700 members on the discord server, the number of active members was much smaller, certainly less than 100.

      In the first day after the TikTok video, over 1000 users sought out the discord server and joined it.

      Etymology Nerd didn’t ask for permission, he did not even give a heads-up. He found and joined the server on the 27th, asked a few questions, and then posted his short on TikTok two hours later. And while he learned that the server’s moderation was getting overwhelmed, he reposted the video to YouTube unchanged the next day anyway, merely leaving a pinned comment asking people to be respectful. The Viossa discord is currently on lockdown (invites paused) until things settle down. In the meantime, the short has amassed close to two million views on TikTok & Youtube combined. While I don’t think this can be called malicious, it speaks of a lack of care of the impact it can have to shine a spotlight on a small community when you have such a big following. Who cares what happens to them, I got my clicks, right?

      But that’s enough venting. Time for some history. As I mentioned above, I was one of the people who started this whole thing. Back in 2014, before Discord, there was a Skype group for people interested in conlangs. I was in high school at the time, as were most other members – reddit demographics. We realized that many of us spoke at least one language other than English, and decided to conduct an experiment: Could we establish communication through those other languages by finding common grounds and learning each other’s words for things? So on Christmas Eve that year, six of us hopped into a video call and tried to communicate without using English. Each of us would contribute with one or two languages: Norwegian, Finnish, Japanese, Irish, Albanian&Greek and Swiss German. Within the first night, we had a few words and could ask simple questions. Within the first week, we had a few hundred words and were able to hold uninterrupted, if simple, conversations. We had some other people join the project over the course of the first year, and presented the results on reddit:

      Things continued quietly from then on. The number of members grew slowly, while others got bored and dropped out of the project. At some point, Discord rolled around and the community moved there – a far easier platform to join than Skype. Some copycat projects sprung up, but to my knowledge, sadly none really persisted. In 2017, I held a talk at the Language Creation Conference about this style of language creation, and on Viossa in particular. The conference was livestreamed, so you can watch it on Youtube here (ca. 30 minutes):

      A major influx of new members came in 2020, when Jan Misali made a video on the language as part of his Conlang Critic series. His video is extremely well put-together, and created in close collaboration with many regular members of the community, and it really is the best showcase of what Viossa had become in the six years since its inception. You can find it here:

      This video put the project on the radar for many more people, and it has definitely changed the language. When you get many learners in a short amount of time, the things they pick up tend to reinforce each other, and you get sudden drastic shifts. I’m finding that I struggle with understanding a lot more of the language used by people who joined after this video than from other oldtimers. Then things settled again, until the etymologynerd post two days ago.

      And that’s the history of, weirdly, one of the more successful constructed languages, built on just two rules:

      1. If you can understand it, it’s correct Viossa.
      2. Learn Viossa through Viossa, no translation.
      20 votes
    5. Monocausality bias, essentialism, modernist grand narratives, and the awesomeness of statistical uncertainty

      #This is a "shower thought" more than a properly empirically researched idea, so it is presented without any citations. This lack of resources is also a reference to many modernist philosophers,...

      #This is a "shower thought" more than a properly empirically researched idea, so it is presented without any citations. This lack of resources is also a reference to many modernist philosophers, whom I dearly appreciate.

      Modernist theories famously tried to get at "the truth behind eveything". For example, majority of both pro- and anti-capitalists thought that history was progressing in a linear tract, and that there was such a thing as end of history. So, they tried to find the drive of history. Famously, Marx claimed to have found it in historical materialism. Similarly, many pro-capitalists have declared The End of History when USSR fell.

      Both of these claims were made on the idea that a single mechanism was behind the progress of history, therefore almost everything.

      It is my thesis that this was and is an extension of essentialist thinking. Such a way of thinking looked for "the essence" of the object of study, because it assumed an (singular) essence drove the object to behave the way it did. There were no multiple causes, only a single cause—if you could find it, you could explain the object in its entirety.

      Modernist philosophers updated this idea a bit. They didn't look for a Platonic idea, for example, but they looked for "the drive behind the object". While they were more materialist, it was also a quasi-metaphysical endeavor.

      I'm going to quote Marx's historical materialism again, because it's one modernist narrative I'm familiar with—simply put, it was such an attempt. While the historical materialist narrative touched on many great things about humanity (e.g. the plasticity of "human nature", the dependence of culture on material conditions), it overreached and overreduced history to a single mechanism. It seemingly recognized the role of other mechanisms, but decidedly explained away their importance in contrast to what Marx saw as "productive forces".

      This was an extension of Hegelian dialectics, but reversed. Hegel assumed thought drove materialist changes. Marx flipped this over. However, both of these were still highly metaphysical, highly essentialist.

      Essentialism's mistake, in this context, is not only that it is metaphysical, it's also that it reduces the object of study to a monocausal explanation. It looks for only one cause. However, as the advance of scientific and most specifically statistical knowledge shows, there are always multiple causes to complex phenomena.

      This revolution in thinking was a great attack on modernist and all the preceding grand narratives. Statistics especially was important in this. The more an explanation -any explanation- was tested in scientific contexts the more it was apparent that no single cause was able to explain everything. Nevermind that, as both natural and social scientists became aware, most of the time a single cause wasn't able to explain most (>50%) of the variation seen in a study.

      Another result of statistical thinking, if one is willing to consider all its implications, is that uncertainty is an inherent part of everything we do and explain. There is no epistemic certainty, nothing we can know for certain. So, everything is always, at some level, a working hypothesis. This doesn't mean that everything is equally plausible, but that we can never be 100% certain about our explanations, neither in science nor in anything.

      Why is this so? Because inferential statistics is structured to give an idea about the uncertainty of the inference we are doing, based on our observations. In short, it always assumes there are "error bars" or something of equivalent function.

      This is the second implication of this revolution—we should be aware of uncertainty and embrace it.

      In summary, there were two important results of this revolution in thinking.

      1. Monocausality bias hinders thinking. In complex phenomena, natural or social, there are most likely multiple important drives (causes).
      2. Rejecting the inherent epistemic uncertainty of our explanations and embracing the psychological certainty of monocausal explanations would be a folly.

      Again, and I cannot stress this enough, this doesn't mean everything is equally plausible (doing so is also counter to statistical thinking!). But realizing the value in this approach provides a great deal of flexibility of the mind, and it makes it much less likely that a person would seek comfort in psychologically certain, essentialist or quasi-essentialist narratives. It makes it less likely so that you fall victim to overly reductive but confident-sounding explanations.

      It also allows one to critically examine modernist and previous explanations, both in positive and negative ways. Grand narratives, I think, touch on many great topics and have insight, but they fall victim to overreductive monocausality bias. If you can separate them from that, then you find a source of rich thinking styles. It seems that sociology does this with thinkers such as Marx, Weber, and more.

      This, I think, is one of the greater revolutions in the "post-modern" era. Post-modern thinking is often associated with extreme skepticism, to the point of declaring everything unknowable, however, this would be reductive. In the way I described, being skeptical of such grand explanations and embracing multicausality and uncertainty is an extremely productive approach.

      This, however, does not mean essentialist, monocausal, modernist, etc. thinking is defeated and gone. "Lightning and thunder require time; the light of the stars requires time; deeds, though done, still require time to be seen and heard."

      Of course, despite the quote, there is nothing sure about the eventual victory of this better way of thinking. However, even in the case that it could become the dominant mode of thought, it will take a great deal of time and active struggle against the old ideas and powers-that-be.

      17 votes
    6. How would you go about teaching (or learning) critical thinking?

      I’m interested in everyday applications like noticing bias in commercial media as well as word-of-mouth and social media. Are there any principles or methods you know of that you’d consider...

      I’m interested in everyday applications like noticing bias in commercial media as well as word-of-mouth and social media. Are there any principles or methods you know of that you’d consider especially important?

      I’m also interested in any recommendations for online training.





      Edit: Wow! Since there are some great suggestions in the comments, I'd like to summarise them here:

      • Primary sources and secondary sources (fefellama)
      • Engagement (BeanBurrito)
      • Under The Influence by Terry O'Reilly [podcast] (chocobean)
      • Influence, marketing, motivation, bias, dark patterns, corruption, phrasing and choice of words (chocobean)
      • Multiple sources. Verbalise your thought process / question yourself (hobofarmer)
      • Advanced Placement English. Ethos, pathos, logos (Wisix)
      • Learning how to hold and study concepts without internalizing them. Not becoming emotionally dependent on “being right”. (bet)
      • Flaws in perception and processing. The Scout Mindset by Julia Galef: "the motivation to see things as they are, not as you wish they were" (Landhund)
      • Fact checking, exercises such as mock trials (chizcurl)
      • Not assuming that critical thinking transfers across domains (daywalker)
      • Falsifiability, scientific psychology, psychological bias, cognition / emotion / behaviour (daywalker)
      • 'Very Short Introductions' series by Oxford Press (daywalker)
      • Many ways to conceptualise "critical thinking". Appreciating the humanity of other people. (mieum)
      • Self reflection and acknowledgement of diversity (mieum)
      • The Unpersuadables: Adventures with the Enemies of Science [book] (gaywallet)
      • Being Wrong: Adventures on the Margin of Error [book] (boxer_dogs_dance)
      • Be curious and ask questions (Markpelly)
      • Empathy facilitates understanding and tempers reactivity (Aerrol)
      • Nobel disease or Nobelitis (saturnV)
      35 votes