524 Matching Annotations
  1. Last 7 days
    1. there is a scenario 00:18:21 uh possibly a likely scenario where we live in a Utopia where we really never have to worry again where we stop messing up our our planet because intelligence is not a bad commodity more 00:18:35 intelligence is good the problems in our planet today are not because of our intelligence they are because of our limited intelligence
      • limited (machine) intelligence

        • cannot help but exist
        • if the original (human) authors of the AI code are themselves limited in their intelligence
      • comment

        • this limitation is essentially what will result in AI progress traps
        • Indeed,
          • progress and their shadow artefacts,
          • progress traps,
          • is the proper framework to analyze the existential dilemma posed by AI
    1. Project Tailwind by Steven Johnson

    2. I’ve also found that Tailwind works extremely well as an extension of my memory. I’ve uploaded my “spark file” of personal notes that date back almost twenty years, and using that as a source, I can ask remarkably open-ended questions—“did I ever write anything about 19th-century urban planning” or “what was the deal with that story about Houdini and Conan Doyle?”—and Tailwind will give me a cogent summary weaving together information from multiple notes. And it’s all accompanied by citations if I want to refer to the original direct quotes for whatever reason.

      This sounds like the sort of personalized AI tool I've been wishing for since the early ChatGPT models if not from even earlier dreams that predate that....

  2. May 2023
    1. Deep Learning (DL) A Technique for Implementing Machine LearningSubfield of ML that uses specialized techniques involving multi-layer (2+) artificial neural networksLayering allows cascaded learning and abstraction levels (e.g. line -> shape -> object -> scene)Computationally intensive enabled by clouds, GPUs, and specialized HW such as FPGAs, TPUs, etc.

      [29] AI - Deep Learning

    1. The object of the present volume is to point out the effects and the advantages which arise from the use of tools and machines ;—to endeavour to classify their modes of action ;—and to trace both the causes and the consequences of applying machinery to supersede the skill and power of the human arm.

      [28] AI - precedents...

    1. Epidemiologist Michael Abramson, who led the research, found that the participants who texted more often tended to work faster but score lower on the tests.

      [21] AI - Skills Erosion

    1. An AI model taught to view racist language as normal is obviously bad. The researchers, though, point out a couple of more subtle problems. One is that shifts in language play an important role in social change; the MeToo and Black Lives Matter movements, for example, have tried to establish a new anti-sexist and anti-racist vocabulary. An AI model trained on vast swaths of the internet won’t be attuned to the nuances of this vocabulary and won’t produce or interpret language in line with these new cultural norms. It will also fail to capture the language and the norms of countries and peoples that have less access to the internet and thus a smaller linguistic footprint online. The result is that AI-generated language will be homogenized, reflecting the practices of the richest countries and communities.

      [21] AI Nuances

    1. According to him, there are several goals connected to AI alignment that need to be addressed:

      [20] AI - Alignment Goals

    1. The following table lists the results that we visualized in the graphic.

      [18] AI - Increased sophistication

    1. https://xtiles.app/62e9167a308426236b1d2b91 https://xtiles.app/62c29d1866533a18d0717564

      Presumably this is part of xTiles' planning for various personas and strategy.

    1. https://xtiles.app/6249b3f811d8db0dcd173512

      Fascinating to see an xTiles page named "competitive analysis", but an interesting example of "eating their own dogfood" to make it.

    1. Get some of the lowest ad prices while protecting your brand with a system backed by Verity and Grapeshot. Rest easy that your ads will only show up where you’d like them to.

      Is there a word or phrase in the advertising space which covers the filtering out of websites and networks which have objectionable material one doesn't want their content running against?

      Contextual intelligence seems to be one...

      Apparently the platforms Verity and Grapeshot (from Oracle) protect against this.

    1. Tagging and linking with AI (Napkin.one) by Nicole van der Hoeven

      https://www.youtube.com/watch?v=p2E3gRXiLYY

      Nicole underlines the value of a good user interface for traversing one's notes. She'd had issues with tagging things in Obsidian using their #tag functionality, but never with their [[WikiLink]] functionality. Something about the autotagging done by Napkin's artificial intelligence makes the process easier for her. Some of this may be down to how their user interface makes it easier/more intuitive as well as how it changes and presents related notes in succession.

      Most interesting however is the visual presentation of notes and tags in conjunction with an outliner for taking one's notes and composing a draft using drag and drop.

      Napkin as a visual layer over tooling like Obsidian, Logseq, et. al. would be a much more compelling choice for me in terms of taking my pre-existing data and doing something useful with it rather than just creating yet another digital copy of all my things (and potentially needing sync to keep them up to date).

      What is Napkin doing with all of their user's data?

  3. Apr 2023
    1. Malheureusement, de nombreuses études dites de « socio-génomique » font progresser, en s’appuyant sur les études GWAS, l’idée que nous sommes génétiquement prédéterminés à faire des études ou pas (l’idée étant que les variations génétiques influeraient sur la variable QI, dont on vient de rappeler les limites…). Selon ce courant de pensée, nos capacités intellectuelles sont écrites dans notre génome. Largement diffusées tant par la presse scientifique que par les médias généralistes ou certains ouvrages comme ceux des psychologues Kathryn Paige Harden ou Robert Plomin, par exemple. Ces idées conduisent inéluctablement à se demander à quoi bon promouvoir une éducation pour tous quand certains y seraient, pour ainsi dire, « génétiquement imperméables »…
    1. Abstract

      Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other artworks. This Legal Sidebar explores questions that courts and the U.S. Copyright Office have begun to confront regarding whether the outputs of generative AI programs are entitled to copyright protection as well as how training and using these programs might infringe copyrights in other works.

    1. It was only by building an additional AI-powered safety mechanism that OpenAI would be able to rein in that harm, producing a chatbot suitable for everyday use.

      This isn't true. The Stochastic Parrots paper outlines other avenues for reining in the harms of language models like GPT's.

  4. Mar 2023
    1. For us the rule of brawn has been broken, and intelligence has become the decisive factor in success. Schools, railroads, factories, and the largest commercial concerns may be successfully managed by persons who are physically weak or even sickly. One who has intelligence constantly measures opportunities against his own strength or weakness and adjusts himself to conditions by following those leads which promise most toward the realization of his individual possibilities.

      I think intelligence has always been a determining factor of success. When someone is smart or intelligent we tend to assume that they will be successful in life. I think this is important to the history of psychology because we have been determined on trying to understand intelligence and then we were grading intelligence based off the score they were getting. We were discussing how intelligence differs across people and that people that were feeble-minded were potential criminals. We discussed how superiors become leaders and lead civilization.

    2. Industrial concerns doubtless suffer enormous losses from the employment of persons whose mental ability is not equal to the tasks they are expected to perform. The present methods of trying out new employees, transferring them to simpler and simpler jobs as their inefficiency becomes apparent, is wasteful and to a great extent unnecessary. A cheaper and more satisfactory method would be to employ a psychologist to examine applicants for positions and to weed out the unfit. Any business employing as many as five hundred or a thousand workers, as, for example, a large department store, could save in this way several times the salary of a well-trained psychologist.

      I think this is interesting because they are saying that intelligence testing could be used to determine job positions. I agree that employing a psychologist to examine applications for positions would be beneficial because the employer doesn't have to worry about certain things the psychologist would look for. I agree that using a psychologist to weed people out of decision of employment could be effective because many people are applying, but the employers only want certain people for that job. I think this is relevant to the history of psychology because there are some companies who use people to determine who is deemed fit for the company, and this is what they wanted to start doing so they could find the best employees for that particular job.

    3. Instead, there are many grades of intelligence, ranging from idiocy on the one hand to genius on the other.

      I think this is interesting because they had thought that under the right conditions that children would be equally, or almost equally, capable of making satisfactory school progress, but they made a discovery that not all children are equal or almost equal. There are different grades of intelligence depending on the person because everyone is different. This is important to the history of psychology because there has now been a discovery of different grades of intelligence. They used to think that children had an equal intelligence or almost equal but there are many different grades of intelligence grading from idiocy to average to genius. We still utilize the grades of intelligence today, but the grades are categorized differently such as idiocy being extremely low on the intelligence scale and genius being very superior. We have changed the name of the grades of intelligence.

    4. The Uses of Intelligence Tests

      I think this is interesting because we have used intelligence testing back then to try and understand how intelligence is measured. Today we still use many different types of intelligence testing such as the Stanford-Binet Intelligence scale and the IQ test which are used to measure intelligence. I was thinking that the STAAR test is a way to measure intelligence, but when I looked it up, it states "No, STAAR tests do not measure a student's intelligence the way they should" (Breuer, 2020). The use of intelligence testing can help diagnose intellectual disabilities or someone's intellectual potential.

    1. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922.

      Would the argument here for stochastic parrots also potentially apply to or could it be abstracted to Markov monkeys?

    1. A.I. Is Mastering Language. Should We Trust What It Says?<br /> by Steven Johnson, art by Nikita Iziev

      Johnson does a good job of looking at the basic state of artificial intelligence and the history of large language models and specifically ChatGPT and asks some interesting ethical questions, but in a way which may not prompt any actual change.


      When we write about technology and the benefits and wealth it might bring, do we do too much ethics washing to help paper over the problems to help bring the bad things too easily to pass?

    2. We know from modern neuroscience that prediction is a core property of human intelligence. Perhaps the game of predict-the-next-word is what children unconsciously play when they are acquiring language themselves: listening to what initially seems to be a random stream of phonemes from the adults around them, gradually detecting patterns in that stream and testing those hypotheses by anticipating words as they are spoken. Perhaps that game is the initial scaffolding beneath all the complex forms of thinking that language makes possible.

      Is language acquisition a very complex method of pattern recognition?

    3. How do we make them ‘‘benefit humanity as a whole’’ when humanity itself can’t agree on basic facts, much less core ethics and civic values?
    4. Another way to widen the pool of stakeholders is for government regulators to get into the game, indirectly representing the will of a larger electorate through their interventions.

      This is certainly "a way", but history has shown, particularly in the United States, that government regulation is unlikely to get involved at all until it's far too late, if at all. Typically they're only regulating not only after maturity, but only when massive failure may cause issues for the wealthy and then the "regulation" is to bail them out.

      Suggesting this here is so pie-in-the sky that it only creates a false hope (hope washing?) for the powerless. Is this sort of hope washing a recurring part of

    5. OpenAI has not detailed in any concrete way who exactly will get to define what it means for A.I. to ‘‘benefit humanity as a whole.’’

      Who get's to make decisions?

    6. Whose values do we put through the A.G.I.? Who decides what it will do and not do? These will be some of the highest-stakes decisions that we’ve had to make collectively as a society.’’

      A similar set of questions might be asked of our political system. At present, the oligopolic nature of our electoral system is heavily biasing our direction as a country.

      We're heavily underrepresented on a huge number of axes.

      How would we change our voting and representation systems to better represent us?

    7. Should we build an A.G.I. that loves the Proud Boys, the spam artists, the Russian troll farms, the QAnon fabulists?

      What features would be design society towards? Stability? Freedom? Wealth? Tolerance?

      How might long term evolution work for societies that maximized for tolerance given Popper's paradox of tolerance?

    8. Right before we left our lunch, Sam Altman quoted a saying of Ilya Sutskever’s: ‘‘One thing that Ilya says — which I always think sounds a little bit tech-utopian, but it sticks in your memory — is, ‘It’s very important that we build an A.G.I. that loves humanity.’ ’’
    1. the apocalypse they refer to is not some kind of sci-fi takeover like Skynet, or whatever those researchers thought had a 10 percent chance of happening. They’re not predicting sentient evil robots. Instead, they warn of a world where the use of AI in a zillion different ways will cause chaos by allowing automated misinformation, throwing people out of work, and giving vast power to virtually anyone who wants to abuse it. The sin of the companies developing AI pell-mell is that they’re recklessly disseminating this mighty force.

      Not Skynet, but social disruption

    1. ChatGPTThis is a free research preview.🔬Our goal is to get external feedback in order to improve our systems and make them safer.🚨While we have safeguards in place, the system may occasionally generate incorrect or misleading information and produce offensive or biased content. It is not intended to give advice.
  5. Feb 2023
    1. Sam Matla talks about the collector's fallacy in a negative light, and for many/most, he might be right. But for some, collecting examples and evidence of particular things is crucially important. The key is to have some idea of what you're collecting and why.

      Historians collecting small facts over time may seem this way, but out of their collection can emerge patterns which otherwise would never have been seen.

      cf: Keith Thomas article

      concrete examples of this to show the opposite?

      Relationship to the idea of AI coming up with black box solutions via their own method of diffuse thinking

    1. For years inventions have extended man's physical powers rather than the powers of his mind.
    1. Certainly, computerizationmight seem to resolve some of the limitations of systems like Deutsch’s, allowing forfull-text search or multiple tagging of individual data points, but an exchange of cardsfor bits only changes the method of recording, leaving behind the reality that one muststill determine what to catalogue, how to relate it to the whole, and the overarchingsystem.

      Despite the affordances of recording, searching, tagging made by computerized note taking systems, the problem still remains what to search for or collect and how to relate the smaller parts to the whole.


      customer relationship management vs. personal knowledge management (or perhaps more important knowledge relationship management, the relationship between individual facts to the overall whole) suggested by autocomplete on "knowl..."

    2. One might then say that Deutsch’s index devel-oped at the height of the pursuit of historical objectivity and constituted a tool ofhistorical research not particularly innovative or limited to him alone, given that the useof notecards was encouraged by so many figures, and it crystallized a positivistic meth-odology on its way out.

      Can zettelkasten be used for other than positivitistic methodologies?

    1. https://www.cyberneticforests.com/ai-images

      Critical Topics: AI Images is an undergraduate class delivered for Bradley University in Spring 2023. It is meant to provide an overview of the context of AI art making tools and connects media studies, new media art, and data ethics with current events and debates in AI and generative art. Students will learn to think critically about these tools by using them: understand what they are by making work that reflects the context and histories of the tools.

    1. Sloan, Robin. “Author’s Note.” Experimental fiction. Wordcraft Writers Workshop, November 2022. https://wordcraft-writers-workshop.appspot.com/stories/robin-sloan.

      brilliant!

    2. "I have affirmed the premise that the enemy can be so simple as a bundle of hate," said he. "What else? I have extinguished the light of a story utterly.

      How fitting that the amanuensis in a short story written with the help of artificial intelligence has done the opposite of what the author intended!

    1. Wordcraft Writers Workshop by Andy Coenen - PAIR, Daphne Ippolito - Brain Research Ann Yuan - PAIR, Sehmon Burnam - Magenta

      cross reference: ChatGPT

    2. LaMDA was not designed as a writing tool. LaMDA was explicitly trained to respond safely and sensibly to whomever it’s engaging with.
    3. LaMDA's safety features could also be limiting: Michelle Taransky found that "the software seemed very reluctant to generate people doing mean things". Models that generate toxic content are highly undesirable, but a literary world where no character is ever mean is unlikely to be interesting.
    4. A recurring theme in the authors’ feedback was that Wordcraft could not stick to a single narrative arc or writing direction.

      When does using an artificial intelligence-based writing tool make the writer an editor of the computer's output rather than the writer themself?

    5. If I were going to use an AI, I'd want to plugin and give massive priority to my commonplace book and personal notes followed by the materials I've read, watched, and listened to secondarily.

    6. Several participants noted the occasionally surreal quality of Wordcraft's suggestions.

      Wordcraft's hallucinations can create interesting and creatively surreal suggestions.

      How might one dial up or down the ability to hallucinate or create surrealism within an artificial intelligence used for thinking, writing, etc.?

    7. Writers struggled with the fickle nature of the system. They often spent a great deal of time wading through Wordcraft's suggestions before finding anything interesting enough to be useful. Even when writers struck gold, it proved challenging to consistently reproduce the behavior. Not surprisingly, writers who had spent time studying the technical underpinnings of large language models or who had worked with them before were better able to get the tool to do what they wanted.

      Because one may need to spend an inordinate amount of time filtering through potentially bad suggestions of artificial intelligence, the time and energy spent keeping a commonplace book or zettelkasten may pay off magnificently in the long run.

    8. Many authors noted that generations tended to fall into clichés, especially when the system was confronted with scenarios less likely to be found in the model's training data. For example, Nelly Garcia noted the difficulty in writing about a lesbian romance — the model kept suggesting that she insert a male character or that she have the female protagonists talk about friendship. Yudhanjaya Wijeratne attempted to deviate from standard fantasy tropes (e.g. heroes as cartographers and builders, not warriors), but Wordcraft insisted on pushing the story toward the well-worn trope of a warrior hero fighting back enemy invaders.

      Examples of artificial intelligence pushing toward pre-existing biases based on training data sets.

    9. Wordcraft tended to produce only average writing.

      How to improve on this state of the art?

    10. “...it can be very useful for coming up with ideas out of thin air, essentially. All you need is a little bit of seed text, maybe some notes on a story you've been thinking about or random bits of inspiration and you can hit a button that gives you nearly infinite story ideas.”- Eugenia Triantafyllou

      Eugenia Triantafyllou is talking about crutches for creativity and inspiration, but seems to miss the value of collecting interesting tidbits along the road of life that one can use later. Instead, the emphasis here becomes one of relying on an artificial intelligence doing it for you at the "hit of a button". If this is the case, then why not just let the artificial intelligence do all the work for you?

      This is the area where the cultural loss of mnemonics used in orality or even the simple commonplace book will make us easier prey for (over-)reliance on technology.


      Is serendipity really serendipity if it's programmed for you?

    11. The authors agreed that the ability to conjure ideas "out of thin air" was one of the most compelling parts of co-writing with an AI model.

      Again note the reference to magic with respect to the artificial intelligence: "the ability to conjure ideas 'out of thin air'".

    12. Wordcraft shined the most as a brainstorming partner and source of inspiration. Writers found it particularly useful for coming up with novel ideas and elaborating on them. AI-powered creative tools seem particularly well suited to sparking creativity and addressing the dreaded writer's block.

      Just as using a text for writing generative annotations (having a conversation with a text) is a useful exercise for writers and thinkers, creative writers can stand to have similar textual creativity prompts.

      Compare Wordcraft affordances with tools like Nabokov's card index (zettelkasten) method, Twyla Tharp's boxes, MadLibs, cadavre exquis, et al.

      The key is to have some sort of creativity catalyst so that one isn't working in a vacuum or facing the dreaded blank page.

    13. We like to describe Wordcraft as a "magic text editor". It's a familiar web-based word processor, but under the hood it has a number of LaMDA-powered writing features that reveal themselves depending on the user's activity.

      The engineers behind Wordcraft refer to it "as a 'magic text editor'". This is a cop-out for many versus a more concrete description of what is actually happening under the hood of the machine.

      It's also similar, thought subtly different to the idea of the "magic of note taking" by which writers are taking about ideas of emergent creativity and combinatorial creativity which occur in that space.

    14. The application is powered by LaMDA, one of the latest generation of large language models. At its core, LaMDA is a simple machine — it's trained to predict the most likely next word given a textual prompt. But because the model is so large and has been trained on a massive amount of text, it's able to learn higher-level concepts.

      Is LaMDA really able to "learn higher-level concepts" or is it just a large, straight-forward information theoretic-based prediction engine?

    15. Our team at Google Research built Wordcraft, an AI-powered text editor centered on story writing, to see how far we could push the limits of this technology.
    1. https://pair.withgoogle.com/

      People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI by doing fundamental research, building tools, creating design frameworks, and working with diverse communities.

    1. Author's note by Robin Sloan<br /> November 2022

    2. I have to report that the AI did not make a useful or pleasant writing partner. Even a state-of-the-art language model cannot presently “understand” what a fiction writer is trying to accomplish in an evolving draft. That’s not unreasonable; often, the writer doesn’t know exactly what they’re trying to accom­plish! Often, they are writing to find out.
    3. First, I’m impressed as hell by the Wordcraft team. Daphne Ippolito, Ann Yuan, Andy Coenen, Sehmon Burnam, and their colleagues engi­neered an impres­sive, provoca­tive writing tool, but/and, more importantly, they inves­ti­gated its use with sensi­tivity and courage.
    1. A Luhmann web article from 2001-06-30!

      Berzbach, Frank. “Künstliche Intelligenz aus Holz.” Online magazine. Magazin für junge Forschung, June 30, 2001. https://sciencegarden.net/kunstliche-intelligenz-aus-holz/.


      Interesting to see the stark contrast in zettelkasten method here in an article about Luhmann versus the discussions within the blogosphere, social media, and other online spaces circa 2018-2022.


      ᔥ[[Daniel Lüdecke]] in Arbeiten mit (elektronischen) Zettelkästen at 2013-08-30 (accessed:: 2023-02-10 06:15:58)

    1. The breakthroughs are all underpinned by a new class of AI models that are more flexible and powerful than anything that has come before. Because they were first used for language tasks like answering questions and writing essays, they’re often known as large language models (LLMs). OpenAI’s GPT3, Google’s BERT, and so on are all LLMs. But these models are extremely flexible and adaptable. The same mathematical structures have been so useful in computer vision, biology, and more that some researchers have taken to calling them "foundation models" to better articulate their role in modern AI.

      Foundation Models in AI

      Large language models, more generally, are “foundation models”. They got the large-language name because that is where they were first applied.

  6. Jan 2023
    1. To start with, a human must enter a prompt into a generative model in order to have it create content. Generally speaking, creative prompts yield creative outputs. “Prompt engineer” is likely to become an established profession, at least until the next generation of even smarter AI emerges.

      Generative AI requires prompt engineering, likely a new profession

      What domain experience does a prompt engineer need? How might this relate to relate to specialty in librarianship?

    1. Fried-berg Judeo-Arabic Project, accessible at http://fjms.genizah.org. This projectmaintains a digital corpus of Judeo-Arabic texts that can be searched and an-alyzed.

      The Friedberg Judeo-Arabic Project contains a large corpus of Judeo-Arabic text which can be manually searched to help improve translations of texts, but it might also be profitably mined using information theoretic and corpus linguistic methods to provide larger group textual translations and suggestions at a grander scale.

    2. More recent ad-ditions to the website include a “jigsaw puzzle” screen that lets users viewseveral items while playing with them to check whether they are “joins.” An-other useful feature permits the user to split the screen into several panelsand, thus, examine several items simultaneously (useful, e.g., when compar-ing handwriting in several documents). Finally, the “join suggestions” screenprovides the results of a technologically groundbreaking computerized anal-ysis of paleographic and codiocological features that suggests possible joinsor items written by the same scribe or belonging to the same codex. 35

      Computer means can potentially be used to check or suggest potential "joins" of fragments of historical documents.

      An example of some of this work can be seen in the Friedberg Genizah Project and their digital tools.

    1. John B. Kelly highlighted this disparity in a memorable passage published in 1973:

      Distance, the filtering of news through so many intermediate channels, and the habitual tendency to discuss and interpret Middle Eastern politics in the political terminology of the West, have all contrived to impart a certain blandness to the reporting and analysis of Middle Eastern affairs in Western countries. ... To read, for instance, the extracts from the Cairo and Baghdad press and radio ... is to open a window upon a strange and desolate landscape, strewn with weird, amorphous shapes cryptically inscribed "imperialist plot," "Zionist crime," "Western exploitation," ... and "the revolution betrayed." Around and among these enigmatic structures, curious figures, like so many mythical beats, caper and cavort - "enemies," "traitors," "stooges," "hyenas," "puppets," "lackeys," "feudalists," "gangsters," "tyrants," "criminals," "oppressors," "plotters" and deviationists". ... It is all rather like a monstrous playing board for some grotesque and sinister game, in which the snakes are all hydras, the ladders have no rungs, and the dice are blank.

  7. Dec 2022
    1. Understand that they need the other side, and admit their basic ignorance. But that’s always been the beginning of wisdom, no matter what technological era we happen to inhabit.
    2. The extraordinary ignorance on questions of society and history displayed by the men and women reshaping society and history has been the defining feature of the social-media era.
    1. It’s not finding gratitude that matters most; it’s remembering to look in the first place. Remembering to be grateful is a form of emotional intelligence. One study found that it actually affected neuron density in both the ventromedial and lateral prefrontal cortex. These density changes suggest that as emotional intelligence increases, the neurons in these areas become more efficient. With higher emotional intelligence, it simply takes less effort to be grateful.

      You can learn how to be more emotionally intelligent.

    1. The History of Zettelkasten The Zettelkasten method is a note-taking system developed by German sociologist and philosopher Niklas Luhmann. It involves creating a network of interconnected notes on index cards or in a digital database, allowing for flexible organization and easy access to information. The method has been widely used in academia and can help individuals better organize their thoughts and ideas.

      https://meso.tzyl.nl/2022/12/05/the-history-of-zettelkasten/

      If generated, it almost perfect reflects the public consensus, but does a miserable job of reflecting deeper realities.

  8. Nov 2022
    1. Title : Artificial Intelligence and Democratic Values: Next Steps for the United States Content : In Dartmouth University , appears AI as sciences however USA motionless a national AI policy comparing to Europe where The Council of Europe is developing the first international AI convention and earlier UE launched the European data privacy law, the General Data Privacy Regulation.

      In addition, China's efforts to become “world leader in AI by 2030, as long as China is developing a digital structures matched with The one belt one road project . USA , did not contribute to UNESCO AI Recommendations however USA It works to promote democratic values and human rights and integrate them with the governance of artificial intelligence .

      USA and UE are facing challenges with transatlantic data flows , with Ukrainian crises The situation became more difficult. In order to reinstate leadership in AI policy, the United States should advance the policy initiative launched last year by the Office of Science and Technology Policy (OSTP) and Strengthening efforts to support AI Bill of rights .

      EXCERPT: USA believe that foster public trust and confidence in AI technologies and protect civil liberties, privacy, and American values in their application can establish responsible AI in USA. Link: https://www.cfr.org/blog/artificial-intelligence-and-democratic-values-next-steps-united-states Topic : AI and Democratic values Country : United States of America

    1. https://infiniteconversation.com/

      an AI generated, never-ending discussion between Werner Herzog and Slavoj Žižek. Everything you hear is fully generated by a machine. The opinions and beliefs expressed do not represent anyone. They are the hallucinations of a slab of silicon.

  9. Oct 2022
    1. https://www.explainpaper.com/

      Another in a growing line of research tools for processing and making sense of research literature including Research Rabbit, Connected Papers, Semantic Scholar, etc.

      Functionality includes the ability to highlight sections of research papers with natural language processing to explain what those sections mean. There's also a "chat" that allows you to ask questions about the paper which will attempt to return reasonable answers, which is an artificial intelligence sort of means of having an artificial "conversation with the text".

      cc: @dwhly @remikalir @jeremydean

    1. Kei Annotations: 30 Joined: July 9, 2021 Location: San Francisco Link: glasp.co/

      https://hypothes.is/users/keisuke_w

      This seems to be one of the cofounders of Glasp. Obviously using Hypothes.is for competitive intelligence.

    1. https://glasp.co/home

      Glasp is a startup competitor in the annotations space that appears to be a subsidiary web-based tool and response to a large portion of the recent spate of note taking applications.

      Some of the first users and suggested users are names I recognize from this tools for thought space.

      On first blush it looks like it's got a lot of the same features and functionality as Hypothes.is, but it also appears to have some slicker surfaces and user interface as well as a much larger emphasis on the social aspects (followers/following) and gamification (graphs for how many annotations you make, how often you annotate, streaks, etc.).

      It could be an interesting experiment to watch the space and see how quickly it both scales as well as potentially reverts to the mean in terms of content and conversation given these differences. Does it become a toxic space via curation of the social features or does it become a toxic intellectual wasteland when it reaches larger scales?

      What will happen to one's data (it does appear to be a silo) when the company eventually closes/shuts down/acquihired/other?

      The team behind it is obviously aware of Hypothes.is as one of the first annotations presented to me is an annotation by Kei, a cofounder and PM at the company, on the Hypothes.is blog at: https://web.hypothes.is/blog/a-letter-to-marc-andreessen-and-rap-genius/

      But this is true for Glasp. Science researchers/writers use it a lot on our service, too.—Kei

      cc: @dwhly @jeremydean @remikalir

    1. I would put creativity into three buckets. If we define creativity as coming up with something novel or new for a purpose, then I think what AI systems are quite good at the moment is interpolation and extrapolation.

      Demis Hassabis, the founder of DeepMind, classifies creativity in three ways: interpolation, extrapolation, and "true invention". He defines the first two traditionally, but gives a more vague description of the third. What exactly is "true invention"?

      How can one invent without any catalyst at all? How can one invent outside of a problem's solution space? outside of the adjacent possible? Does this truly exist? Or doesn't it based on definition.

  10. Sep 2022
    1. https://www.scientificamerican.com/article/information-overload-helps-fake-news-spread-and-social-media-knows-it/

      Good overview article of some of the psychology research behind misinformation in social media spaces including bots, AI, and the effects of cognitive bias.

      Probably worth mining the story for the journal articles and collecting/reading them.

    2. Information Overload

      Recall that this isn't new:

      Blair, Ann M. Too Much to Know: Managing Scholarly Information before the Modern Age. Yale University Press, 2010. https://yalebooks.yale.edu/book/9780300165395/too-much-know

      The new portions are the acceleration of the issue by social media and the inflammation by artificial intelligence.

    1. we can kind of make an assumption that 00:04:22 complex brains and by extension complex intelligence should also be somewhat common in terms of evolutionary success and assuming that it's evolutionary preferential or basically that evolves many times throughout the history of the 00:04:35 planet we can then make a conjecture that it should exist somewhere out there where life exists on other planets okay just to rephrase this if we truly believe that extraterrestrial intelligence exists out there and that 00:04:48 it kind of evolved in the same way that it evolved here on planet earth it's pretty safe to assume that it might have evolved several times on the planet because we're making an assumption here that this is an evolutionary advantage 00:05:00 that all planets that potentially have life on them are going to end up with some kind of a species that's going to become super intelligent and that's going to be self-aware able to use technology and essentially kind of communicate in the same way that we 00:05:13 communicate using for example radio waves

      !- in other words : there should be signs of complex intelligence like ours in the paleontological records

    1. In the two first cases the expediency of a divisionof labour does not come in question. But take thethird case. A man of abihty discovers that thedocuments which are necessary for the treatmentof a point of history are in a very bad conditionthey are scattered, corrupt, and untrustworthy. Hemust take his choice ; either he must abandon thesubject, having no taste for the mechanical opera-tions which he knows to be necessary, but which,as he foresees, would absorb the whole of his energy ;or else he resolves to enter upon the preparatorycritical work, without concealing from himself thatin all probability he will never have time to utilisethe materials he has verified, and that he will there-fore be working for those who will come after him.

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    Annotators

  11. Aug 2022
    1. if more than one person uses the sheet box (which is not that uncommon)

      Multi-user slip boxes anyone?

      How common was this practice? in what areas?

    Tags

    Annotators

    1. The network of trails functions as a shared external memory for the ant colony.

      Just as a trail of pheromones serves the function of a shared external memory for an ant colony, annotations can create a set of associative trails which serve as an external memory for a broader human collective memory. Further songlines and other orality based memory methods form a shared, but individually stored internal collective memory for those who use and practice them.

      Vestiges of this human practice can be seen in modern society with the use and spread of cultural memes. People are incredibly good at seeing and recognizing memes and what they communicate and spreading them because they've evolved to function this way since the dawn of humanity.

    2. Stigmergy (/ˈstɪɡmərdʒi/ STIG-mər-jee) is a mechanism of indirect coordination, through the environment, between agents or actions.

      Example: ant pheromone paths

      Within ants, there can be a path left for others to follow, but what about natural paths in our environment that influence us to take them because of the idea of the "path of least resistence" or the effects of having paved cow paths.

      Similarly being lead by "the company that you keep".

      relathionship to research on hanging out with fat people tending to make one fatter.

    1. Huarte goes on to distinguish three levels of intelligence. The lowest of theseis the “docile wit,” which satisfies the maxim that he, along with Leibnitz andmany others, wrongly attributes to Aristotle, namely that there is nothing inthe mind that is not simply transmitted to it by the senses. The next higherlevel, normal human intelligence, goes well beyond the empiricist limitation:it is able to “engender within itself, by its own power, the principles on whichknowledge rests.”
    2. the writings of the Spanish physician JuanHuarte, who in the late sixteenth century published a widely translated studyon the nature of human intelligence. In the course of his investigations, Huartecame to wonder at the fact that the word for “intelligence,” ingenio, seems tohave the same Latin root as various words meaning “engender” or “generate.”
    3. I recall being told by a distinguishedanthropological linguist, in 1953, that he had no intention of working througha vast collection of materials that he had assembled because within a few yearsit would surely be possible to program a computer to construct a grammar froma large corpus of data by the use of techniques that were already fairly wellformalized.

      rose colored glasses...

  12. www.janeausten.pludhlab.org www.janeausten.pludhlab.org
    1. He is a clever man, a reading man

      He believes Louisa to be intellectually inferior to Captain Benwick, not a choice he would make for himself - like his sister and her husband he wants a marriage where they can meet as equals. Having said that...on this reading I've been questioning how smart the Admiral is

    1. https://web.archive.org/web/20220810205211/https://escapingflatland.substack.com/p/gpt-3

      Blogged a few first associations at https://www.zylstra.org/blog/2022/08/communicating-with-gpt-3/ . Prompt design for narrative research may be a useful experience here. 'Interviewing' GPT-3 a Luhmann-style conversation with a system? Can we ditch our notes for GPT-3? GPT-3 as interface to the internet. Fascinatiing essay, need to explore.

    1. For the sake of simplicity, go to Graph Analysis Settings and disable everything but Co-Citations, Jaccard, Adamic Adar, and Label Propogation. I won't spend my time explaining each because you can find those in the net, but these are essentially algorithms that find connections for you. Co-Citations, for example, uses second order links or links of links, which could generate ideas or help you create indexes. It essentially automates looking through the backlinks and local graphs as it generates possible relations for you.
  13. Jul 2022
    1. Erasmus learned Greek at the beginning of the 16th century, and from his study in Queens’ College, Cambridge, he spread the word of how important it was to read the Gospels and other foundational texts of Christianity in the language in which they were first written. His battle cry was ad fontes (“back to the sources”)

      i love this