Ippolito, Daphne, Ann Yuan, Andy Coenen, and Sehmon Burnam. “Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers.” arXiv, November 9, 2022. https://doi.org/10.48550/arXiv.2211.05030.
See also: https://wordcraft-writers-workshop.appspot.com/learn
A Google project entering the public as ChatGPT was released and becoming popular.
For additional experiences, see: https://www.robinsloan.com/newsletters/authors-note/
Author's note by Robin Sloan<br /> November 2022
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.
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.
PolitiFact - People are using coded language to avoid social media moderation. Is it working?<br /> by Kayla Steinberg<br /> November 4, 2021
http://www.wisdomofchopra.com/...
A random generator using Deepak Chopra tweets.
Reminiscent of https://hypothes.is/a/bzlr9l06Ee23w7voPzbY5g
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)
https://docs.google.com/document/d/1E8b-aY6R-CUMgXe0UTCsdyHWHDatBa1DaQBvdcuA_Kk/edit
AI in Education Resource Directory
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Hypothesis</span> in Liquid Margins 38: The rise of ChatGPT and how to work with and around it : Hypothesis (<time class='dt-published'>02/09/2023 16:11:54</time>)</cite></small>
https://docs.google.com/document/d/1WpCeTyiWCPQ9MNCsFeKMDQLSTsg1oKfNIH6MzoSFXqQ/preview<br /> Policies related to ChatGPT and other AI Tools
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Hypothesis</span> in Liquid Margins 38: The rise of ChatGPT and how to work with and around it : Hypothesis (<time class='dt-published'>02/09/2023 16:11:54</time>)</cite></small>
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.
Large language models, more generally, are “foundation models”. They got the large-language name because that is where they were first applied.
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.
What domain experience does a prompt engineer need? How might this relate to relate to specialty in librarianship?
Was this recorded?
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.
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.
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.
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.
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.
https://ojs.stanford.edu/ojs/index.php/grace/announcement/view/8
I had RSVPd to this, but the organizers totally blew it on sending out the proper zoom link.
Original event page: https://www.eventbrite.com/e/envisioning-paths-individual-collective-action-for-ethical-technology-tickets-466438639527
Description: https://events.stanford.edu/event/envisioning_paths_individual_and_collective_action_for_ethical_technology
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.
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.
if people annotate a generated text, is that a diminished conversation compared to one with a human authored text?
🤔
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
Page with many resources on - Learning - Creativity - Intelligence - Sleep - Education - Memory - Health - Productivity - Myths - SuperMemo - Older texts
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.
https://www.robinsloan.com/notes/writing-with-the-machine/
Related work leading up to this video: https://vimeo.com/232545219
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
https://www.supermind.design/database
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.
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
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.
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.
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.
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
You consume information constantly.Let’s put it to work. We're building an automatic
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.
Sparkes, M. (2021, November 19). Wikipedia tests AI for spotting contradictory claims in articles. New Scientist. https://institutions.newscientist.com/article/2298169-wikipedia-tests-ai-for-spotting-contradictory-claims-in-articles/?utm_campaign=echobox&utm_medium=social&utm_source=Twitter&utm_term=Autofeed
Borger, J. (2021, October 29). Covid bioweapon claims ‘scientifically invalid’, US intelligence reports. The Guardian. https://www.theguardian.com/world/2021/oct/29/us-intelligence-report-covid-origins
Cohen, J. (2021, August 27). COVID-19’s origins still uncertain, U.S. intelligence agencies conclude. Science. https://www.science.org/content/article/covid-19-s-origins-still-uncertain-us-intelligence-agencies-conclude
AI-powered Zettelkasten: A note-taking system for the modern knowledge worker.
Oh dear god, it's worse, the writer seems to be affiliated with bundleIQ, a product that's an AI applied to the knowledge space. It's a major mistake for AI people to be playing in spaces in which they have absolutely no founding in the history of...
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?
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.
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.
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.”
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.”
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...
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
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.
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.
comment on: https://www.youtube.com/watch?v=9OUn2-h6oVc
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
AI text generator, a boon for bloggers? A test report
While I wanted to investigate AI text generators further, I ended up writing a testreport.. I was quite stunned because the AI text generator turns out to be able to create a fully cohesive and to-the-point article in minutes. Here is the test report.
A cognitiveagent is needed to perform this very action (that needs to be recurrent)—and another agent is neededto further build on that (again recurrently and irrespective to the particular agents involved).
This appears to be setting up the conditions for an artificial cognitive agent to be able to play a role (ie Artificial Intelligence)
In this paper, we propose and analyse a potential power triangle between three kinds of mutuallydependent, mutually threatening and co-evolving cognitive systems—the human being, the socialsystem and the emerging synthetic intelligence. The question we address is what configuration betweenthese powers would enable humans to start governing the global socio-econo-political system
Superintelligence has long served as a source of inspiration for dystopian science fiction that showed humanity being overthrown, defeated, or imprisoned by machines.
he distinguishes three dimensions of dependent origination and this is in his commentary on the guardian of malama jamaica carica called clear words he talks about causal dependence that is every phenomenon depends upon causes and 00:16:19 conditions and gives rise to further causes and conditions um myriological dependence that is every phenomenon every composite phenomenon depends upon the parts that uh that it 00:16:31 comprises and every phenomenon is also dependent upon the holes or the systems in which it figures parts depend on holes holes depend on parts and that reciprocal meteorological dependence 00:16:44 characterizes all of reality and third often overlooked but most important is dependence on conceptual imputation that is things depend in order to be represented as the kinds of 00:16:57 things they are on our conceptual resources our affective resources and as john dunn emphasized our purposes in life this third one really means this um 00:17:09 everything that shows up for us in the world the way we carve the world up the way we um the way we experience the world is dependent not just on how the world is but on the conceptual resources 00:17:22 as well as the perceptual resources through which we understand the world and it's worth recognizing that um when we think about this there are a bunch of um contemporary majamakers majamikas we 00:17:34 might point to as well and so paul fireauben who's up there on on the left well really an austrian but he spent much of his life in america um willard van norman kwine um up on the right wilford sellers and paul churchland
This is a key statement: how we experience the world depends on the perceptual and cognitive lens used to filter the world through.
Francis Heylighen proposes a nondual system based on causal dependency relationships to serve as the foundation for distributed cognition.(collective intelligence).
that advanced AI is already reflecting our own prejudices and biases.
We've yet to see note-taking platforms meaningfully add AI affordances into their systems, but there are hints at how they could in other platforms.
A promising project is Paul Bricman's Conceptarium.
animal intelligence or simply in learning more about dogs as our companions--or both
or human intelligence
https://www.youtube.com/watch?v=bWkwOefBPZY
Some of the basic outline of this looks like OER (Open Educational Resources) and its "five Rs": Retain, Reuse, Revise, Remix and/or Redistribute content. (To which I've already suggested the sixth: Request update (or revision control).
Some of this is similar to:
The Read Write Web is no longer sufficient. I want the Read Fork Write Merge Web. #osb11 lunch table. #diso #indieweb [Tantek Çelik](http://tantek.com/2011/174/t1/read-fork-write-merge-web-osb110
Idea of collections of learning as collections or "playlists" or "readlists". Similar to the old tool Readlist which bundled articles into books relatively easily. See also: https://boffosocko.com/2022/03/26/indieweb-readlists-tools-and-brainstorming/
Use of Wiki version histories
Some of this has the form of a Wiki but with smaller nuggets of information (sort of like Tiddlywiki perhaps, which also allows for creating custom orderings of things which had specific URLs for displaying and sharing them.) The Zettelkasten idea has some of this embedded into it. Shared zettelkasten could be an interesting thing.
Data is the new soil. A way to reframe "data is the new oil" but as a part of the commons. This fits well into the gardens and streams metaphor.
Jerry, have you seen Matt Ridley's work on Ideas Have Sex? https://www.ted.com/talks/matt_ridley_when_ideas_have_sex Of course you have: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/3e2c5c75-fc49-0688-f455-6de58e4487f1/attachments/8aab91d4-5fc8-93fe-7850-d6fa828c10a9
I've heard Jerry mention the idea of "crystallization of knowledge" before. How can we concretely link this version with Cesar Hidalgo's work, esp. Why Information Grows.
Cross reference Jerry's Brain: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/4bfe6526-9884-4b6d-9548-23659da7811e/notes
Dall-E delivers ten images for each request, and when you see results that contain sensitive or biased content, you can flag them to OpenAI for review. The question then becomes whether OpenAI wants Dall-E's results to reflect society's approximate reality or some idealized version. If an occupation is majority male or female, for instance, and you ask Dall-E to illustrate someone doing that job, the results can either reflect the actual proportion in society, or some even split between genders. They can also account for race, weight, and other factors. So far, OpenAI is still researching how exactly to structure these results. But as it learns, it knows it has choices to make.
As if we needed more technology to dissolve a shared, cohesive view of reality, we need to consider how it is possible to tune the AI parameters to reflect some version of what is versus some version of how we want it to be.
Discussion on
Bellinger C, Drozdyuk A, Crowley M, Tamblyn I. Balancing Information with Observation Costs in Deep Reinforcement Learning. Proceedings of the Canadian Conference on Artificial Intelligence [Internet]. 2022 May 27; Available from: https://caiac.pubpub.org/pub/0jmy7gpd
Harness collective intelligence augmented by digital technology, and unlock exponential innovation. Beyond old hierarchical structures and archaic tools.
https://twitter.com/augmented_CI
The words "beyond", "hierarchical", and "archaic" are all designed to marginalize prior thought and tools which all work, and are likely upon which this broader idea is built. This is a potentially toxic means of creating "power over" this prior art rather than a more open spirit of "power with".
Interesting sounding high level paper about the limits and constraints on general intelligence and how this might relate to the struggles AI/ML research has had historically.
Hypothesis page to discuss this high level description of DeepMind's new Gato framework.
Bret Victor shared this post to make the point that we shouldn't be worrying about sentient AI right now; that the melting ice caps are way more of a threat than AGI. He linked to this article, saying that corporations act like a non-human, intelligent entity, that has real impacts in the world today, that may be way more consequential than AI.
Ben Williamson shared this post on Twitter, saying that it's a good idea to remove the words 'artificial intelligence' and 'AI' from policy statements, etc. as a way of talking about specific details of a technology. We can see loads of examples of companies using 'AI' to obfuscate what they are really going.
The bulk of Vumacam’s subscribers have thus far been private security companies like AI Surveillance, which supply anything from armed guards to monitoring for a wide range of clients, including schools, businesses, and residential neighborhoods. This was always the plan: Vumacam CEO Croock started AI Surveillance with Nichol shortly after founding Vumacam and then stepped away to avoid conflicts with other Vumacam customers.
Vumacam provides the platform, AI-driven target selection, and human review. Others subscribe to that service and add their own layers of services to customers.
Since most of our feeds rely on either machine algorithms or human curation, there is very little control over what we actually want to see.
While algorithmic feeds and "artificial intelligences" might control large swaths of what we see in our passive acquisition modes, we can and certainly should spend more of our time in active search modes which don't employ these tools or methods.
How might we better blend our passive and active modes of search and discovery while still having and maintaining the value of serendipity in our workflows?
Consider the loss of library stacks in our research workflows? We've lost some of the serendipity of seeing the book titles on the shelf that are adjacent to the one we're looking for. What about the books just above and below it? How do we replicate that sort of serendipity into our digital world?
How do we help prevent the shiny object syndrome? How can stay on task rather than move onto the next pretty thing or topic presented to us by an algorithmic feed so that we can accomplish the task we set out to do? Certainly bookmarking a thing or a topic for later follow up can be useful so we don't go too far afield, but what other methods might we use? How can we optimize our random walks through life and a sea of information to tie disparate parts of everything together? Do we need to only rely on doing it as a broader species? Can smaller subgroups accomplish this if carefully planned or is exploring the problem space only possible at mass scale? And even then we may be under shooting the goal by an order of magnitude (or ten)?
ResearchRabbit, which fully launched in August 2021, describes itself as “Spotify for papers”.
Research Rabbit is a search engine for academic research that was launched in August of 2021 and bills itself as "Spotify for papers." It uses artificial intelligence to recommend related papers to researchers and updates those recommendations based on the contents of one's growing corpus of interest.
Connected Papers uses the publicly available corpus compiled by Semantic Scholar — a tool set up in 2015 by the Allen Institute for Artificial Intelligence in Seattle, Washington — amounting to around 200 million articles, including preprints.
Semantic Scholar is a digital tool created by the Allen Institute for Artificial Intelligence in Seattle, Washington in 2015. It's corpus is publicly available for search and is used by other tools including Connected Papers.
ReconfigBehSci [@SciBeh]. (2021, November 14). @STWorg @olbeun @lombardi_learn @kostas_exarhia @stefanmherzog @commscholar @johnfocook @Briony_Swire @Sander_vdLinden @DG_Rand @kendeou @dlholf @ProfSunitaSah @HendirkB @gordpennycook @andyguess @emmapsychology @ThomsonAngus @UMDCollegeofEd @gavaruzzi @katytapper @orspaca [Tweet]. Twitter. https://twitter.com/SciBeh/status/1459813535974842371
ReconfigBehSci [@SciBeh]. (2021, November 14). Kai Spiekermann will speak the need for science communication and how it supports the pivotal role of knowledge in a functioning democracy. The panel will focus on what collective intelligence has to offer. 3/6 [Tweet]. Twitter. https://twitter.com/SciBeh/status/1459813528987217926
He continues by comparing open works to Quantum mechanics, and he arrives at the conclusion that open works are more like Einstein's idea of the universe, which is governed by precise laws but seems random at first. The artist in those open works arranges the work carefully so it could be re-organized by another but still keep the original voice or intent of the artist.
Is physics open or closed?
Could a play, made in a zettelkasten-like structure, be performed in a way so as to keep a consistent authorial voice?
What potential applications does the idea of opera aperta have for artificial intelligence? Can it be created in such a way as to give an artificial brain a consistent "authorial voice"?
ReconfigBehSci. (2021, November 14). Join us this week at our 2021 SciBeh Workshop on the topic of ‘Science Communication as Collective Intelligence’! Nov. 18/19 with a schedule that allows any time zone to take part in at least some of the workshop. Includes: Keynotes, panels, and breakout manifesto writing 1/6 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1459813525635973122
Empathy – This is perhaps the most important element of emotional intelligence. Empathy is the ability to identify with and understand the wants, needs, and viewpoints of those around you. People with empathy are good at recognizing the feelings of others, even when those feelings may not be obvious. As a result, empathetic people are usually excellent at managing relationships , listening , and relating to others. They avoid stereotyping and judging too quickly, and they live their lives in a very open, honest way.
Empathy – I value empathy as I consider it to be the most important element of emotional intelligence. Empathy means to be able to recognise and understand the wants, needs, and perspectives of others around us.
Empathy allows you to be better at recognizing the feelings of others, even if those people aren't making it obvious to notice. Hence, empathetic people make excellent relationship managers, also making good listeners , and relating to others. This traits allows one to avoid stereotyping and judging others at face value.
Frimer, J., Aujla, H., Feinberg, M., Skitka, L., Aquino, K., Eichstaedt, johannes C., & Willer, R. (2022). Incivility is Rising among American Politicians on Twitter. PsyArXiv. https://doi.org/10.31234/osf.io/2hku3
ReconfigBehSci. (2021, November 20). Thanks to everyone who took part in our Workshop on #SciComm as Collective Intelligence It was amazing! Materials will be uploaded to http://SciBeh.org website 1/2 @kakape @DrTomori @SpiekermannKai @GeoffreySupran @ArendJK @STWorg @dgurdasani1 @suneman @philipplenz6 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1461978072924762117
projet européen X5-GON (Global Open Education Network) qui collecte les informations sur les ressources éducatives libres et qui marche bien avec un gros apport d’intelligence artificielle pour analyser en profondeur les documents
This generative model normally penalizes predicted toxicity and rewards predicted target activity. We simply proposed to invert this logic by using the same approach to design molecules de novo, but now guiding the model to reward both toxicity and bioactivity instead.
By changing the parameters of the AI, the output of the AI changed dramatically.
Of course, users are still the source of the insight that makes a complete document also a compelling document.
Nice that he takes a more humanistic viewpoint here rather than indicating that it will all be artificial intelligence in the future.
Hmm...this page doesn’t exist. Try searching for something else.
Apparently Persuall was embarrassed about their pro-surveillance capitalism stance and perhaps not so much for its lack of kindness and care for the basic humanity of students.
Sad that they haven't explained or apologized for their misstep.
https://web.archive.org/web/20220222022208/https://twitter.com/perusall/status/1495945680002719751
Additional context: https://twitter.com/search?q=(%40perusall)%20until%3A2022-02-23%20since%3A2022-02-21&src=typed_query
Stay at the forefront of educational innovation
What about a standard of care for students?
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>Bragging about students not knowing how the surveillance technology works is unethical.<br><br>Students using accessibility software or open educational resources shouldn't be punished for accidentally avoiding surveillance. pic.twitter.com/Uv7fiAm0a3
— Ian Linkletter (@Linkletter) February 22, 2022
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>#annotation https://t.co/wVemEk2yao
— Remi Kalir (@remikalir) February 23, 2022
At the back of Dr Duncan's book on the topic, Index, A History Of The, he includes not one but two indexes, in order to make a point.
Dennis Duncan includes two indices in his book Index, A History of The, one by a professional human indexer and the second generated by artificial intelligence. He indicates that the human version is far better.
SciBeh Virtual Workshop 2021: Science Communication as Collective Intelligence. (n.d.). SciBeh. Retrieved 14 February 2022, from https://www.scibeh.org/events/workshop2021/
Der Hauptanwendungspartner für die hier beschriebenen Lösungen war und ist der Sie-mens-Konzern. Die Lösungen wurden durch das KI-Start-up Giance, eine deutsch-chinesi-sche Ausgründung des DFKI, für den chinesischen Markt angepasst und weiterentwickelt.
KI-basierte Serviceplattform für Enterprise Intelli- gence
Unsere Global Enterprise Intelligence (GEI) Platform eignet sich nicht nur zur Beobachtung von Zulieferern, sondern wird auch in ande-ren Bereichen eingesetzt, in denen Firmen beobachtet werden müssen wie z. B. Wettbewer-beranalyse, Partnerbetreuung, Key-Account-Management oder Portfolio- Management.
Mehrwert
Knowledge Graph Check & UpdateMithilfe der Neo4J-Graphdatenbanktechnologie werden für die Anwendungen Wis-sensgraphen aufgebaut und ständig um neue Relationen und Eigenschaften der beob-achteten Firmen ergänzt. Die Wissensgraphen dienen nicht nur der Visualisierung der Ergebnisse, sie werden auch zum Entity Linking und zur Erkennung von bereits be-kannter Information verwendet
Neo4J-Graphdatenbanktechnologie werden für die Anwendungen Wissensgraphen aufgebaut und ständig um neue Relationen und Eigenschaften der beobachteten Firmen ergänzt.
Die Wissensgraphen dienen nicht nur der Visualisierung der Ergebnisse, sie werden auch zum Entity Linking und zur Erkennung von bereits bekannter Information verwendet.
integrierten IT-basierten Management- und Entscheidungsunterstützung (Business Intelligence)
Business Intelligence
We need to getour thoughts on paper first and improve them there, where we canlook at them. Especially complex ideas are difficult to turn into alinear text in the head alone. If we try to please the critical readerinstantly, our workflow would come to a standstill. We tend to callextremely slow writers, who always try to write as if for print,perfectionists. Even though it sounds like praise for extremeprofessionalism, it is not: A real professional would wait until it wastime for proofreading, so he or she can focus on one thing at a time.While proofreading requires more focused attention, finding the rightwords during writing requires much more floating attention.
Proofreading while rewriting, structuring, or doing the thinking or creative parts of writing is a form of bikeshedding. It is easy to focus on the small and picayune fixes when writing, but this distracts from the more important parts of the work which really need one's attention to be successful.
Get your ideas down on paper and only afterwards work on proofreading at the end. Switching contexts from thinking and creativity to spelling, small bits of grammar, and typography can be taxing from the perspective of trying to multi-task.
Link: Draft #4 and using Webster's 1913 dictionary for choosing better words/verbiage as a discrete step within the rewrite.
Linked to above: Are there other dictionaries, thesauruses, books of quotations, or individual commonplace books, waste books that can serve as resources for finding better words, phrases, or phrasing when writing? Imagine searching through Thoreau's commonplace book for finding interesting turns of phrase. Naturally searching through one's own commonplace book is a great place to start, if you're saving those sorts of things, especially from fiction.
Link this to Robin Sloan's AI talk and using artificial intelligence and corpuses of literature to generate writing.
from: Eyeo Conference 2017
Robin Sloan at Eyeo 2017 | Writing with the Machine | Language models built with recurrent neural networks are advancing the state of the art on what feels like a weekly basis; off-the-shelf code is capable of astonishing mimicry and composition. What happens, though, when we take those models off the command line and put them into an interactive writing environment? In this talk Robin presents demos of several tools, including one presented here for the first time. He discusses motivations and process, shares some technical tips, proposes a course for the future — and along the way, write at least one short story together with the audience: all of us, and the machine.
Robin created a corpus using If Magazine and Galaxy Magazine from the Internet Archive and used it as a writing tool. He talks about using a few other models for generating text.
Some of the idea here is reminiscent of the way John McPhee used the 1913 Webster Dictionary for finding words (or le mot juste) for his work, as tangentially suggested in Draft #4 in The New Yorker (2013-04-22)
Cross reference: https://hypothes.is/a/t2a9_pTQEeuNSDf16lq3qw and https://hypothes.is/a/vUG82pTOEeu6Z99lBsrRrg from https://jsomers.net/blog/dictionary
Croatian acapella singing: klapa https://www.youtube.com/watch?v=sciwtWcfdH4
Writing using the adjacent possible.
Corpus building as an art [~37:00]
Forgetting what one trained their model on and then seeing the unexpected come out of it. This is similar to Luhmann's use of the zettelkasten as a serendipitous writing partner.
How might we use information theory to do this more easily?
What does a person or machine's "hand" look like in the long term with these tools?
Can we use corpus linguistics in reverse for this?
What sources would you use to train your model?
An interesting coming book grouping various application issues (business, crime, military and terrorism).
Markoff, a long-time chronicler of computing, sees Engelbart as one pole in a decades-long competition "between artificial intelligence and intelligence augmentation -- A.I. versus I.A."
There is an interesting difference between artificial intelligence and intelligence automation. Index cards were already doing the second by the early 1940s.
There is the mammal way and there is the bird way." This is one scientist's pithy distinction between mammal brains and bird brains: two ways to make a highly intelligent mind.
evolutionary theorists like Christopher berm whose book hierarchy in the forest he's a primatologist is quite explicit about 00:11:27 this and says well this is precisely what makes human politics different from the politics of say chimpanzees or bonobos or orangutangs is what he calls our actuarial intelligence which I 00:11:39 believe what he means by this is the fact that we can in fact imagine what another kind of society might be like
Primatologist [[Christopher Boehm]] argues in his book Hierarchy in the Forest: The Evolution of Egalitarian Behavior that humans are different from our primate ancestors because homo sapiens possess actuarial intelligence, or the ability to imagine what other kinds of society might look like.
Just because a dataset is publicly available doesn't mean that you can use it to build commercial AI software.
ReconfigBehSci. (2021, October 31). Please join us at our upcoming workshop on ‘Science Communication as Collective Intelligence’ featuring talks (@SpiekermannKai, @dgurdasani1), panel discussions (@kakape,@CaulfieldTim, @joshua_a_becker, @suneman, @GeoffreySupran and more!) 1/2 https://t.co/isupbnF6yA [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1454763345748414465
Why people believe Covid conspiracy theories: Could folklore hold the answer? | Coronavirus | The Guardian. (n.d.). Retrieved October 26, 2021, from https://www.theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer
I met Flávia Macêdo in a Trimtab Space Camp course. She invited me to participate in Holoptic – Global collective intelligence platform.
I suggested to the Stop Reset Go team that if we are focusing on connection, this might be a useful approach.
Collective Intelligence. (2020, July 18). SAGE Publications Ltd. https://uk.sagepub.com/en-gb/eur/collective-intelligence/journal203713
Crowdpol is a pro-social platform, where changemakers from across the globe can work together to tackle the challenges of the century.
Shared by Ferial Puren
Annotate the web, with anyone, anywhere.
Gyuri Lajos recommended Hypothesis to the Stop Reset Go team to simulate the experience of using the IndyWiki project that he is working on.
Gyuri Lajos is a member of the Stop Reset Go team. He is working on IndyWiki as a Web3 Native platform for collective intelligence.
I meant to join this last week, but didn't manage. Now I'll have to watch the video after the fact:
civic intelligence
A ‘Brainwashed Death Cult’: The Gamification of Conspiracy – Byline Times. (n.d.). Retrieved August 17, 2021, from https://bylinetimes.com/2021/08/10/a-brainwashed-death-cult-the-gamification-of-conspiracy/
Provide more opportunities for new talent. Because healthcare has been relatively solid and stagnant in what it does, we're losing out on some of the new talent that comes out — who are developing artificial intelligence, who are working at high-tech firms — and those firms can pay significantly higher than hospitals for those talents. We have to find a way to provide some opportunities for that and apply those technologies to make improvements in healthcare.
Intestesing. Mr. Roach thinks healthcare is not doing enough to attract new types of talent (AI and emerging tech) into healthcare. We seem to be losing this talent to the technology sector.
I would agree with this point. Why work for healthcare with all of its massive demands and HIPPA and lack of people knowing what you are even building. Instead, you can go into tech, have a better quality of life, get paid so much more, and have the possibility of exiting due to a buyout from the healthcare industry.
Building on platforms' stores of user-generated content, competing middleware services could offer feeds curated according to alternate ranking, labeling, or content-moderation rules.
Already I can see too many companies relying on artificial intelligence to sort and filter this material and it has the ability to cause even worse nth degree level problems.
Allowing the end user to easily control the content curation and filtering will be absolutely necessary, and even then, customer desire to do this will likely loose out to the automaticity of AI. Customer laziness will likely win the day on this, so the design around it must be robust.
Roberts, M. (n.d.). Artificial intelligence has been of little use for diagnosing covid-19. New Scientist. Retrieved 24 May 2021, from https://www.newscientist.com/article/mg25033350-100-artificial-intelligence-has-been-of-little-use-for-diagnosing-covid-19/
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>John Pavlus </span> in Melanie Mitchell Trains AI to Think With Analogies | Quanta Magazine (<time class='dt-published'>07/24/2021 17:19:52</time>)</cite></small>
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>John Pavlus </span> in Melanie Mitchell Trains AI to Think With Analogies | Quanta Magazine (<time class='dt-published'>07/24/2021 17:19:52</time>)</cite></small>
Facebook AI. (2021, July 16). We’ve built and open-sourced BlenderBot 2.0, the first #chatbot that can store and access long-term memory, search the internet for timely information, and converse intelligently on nearly any topic. It’s a significant advancement in conversational AI. https://t.co/H17Dk6m1Vx https://t.co/0BC5oQMEck [Tweet]. @facebookai. https://twitter.com/facebookai/status/1416029884179271684
Johnson, Khari. ‘AI Could Soon Write Code Based on Ordinary Language’. Wired. Accessed 21 June 2021. https://www.wired.com/story/ai-write-code-ordinary-language.
intelligence collective réflexive
Il ne s’agirait donc pas de simplement devenir collectivement «plus intelligent» (au sens d’efficace, dans un strict paradigme scientifique et technique pour accélérer le fonctionnement de l’économie), mais aussi réflexif: réfléchir aux conditions de cette société renouvelée, en proie à de nouvelles dynamiques de pouvoir extrêmement concentrées et asymétriques.
t hadn’t learned sort of the concept of a paddle or the concept of a ball. It only learned about patterns of pixels.
Cognition and perception are closely related in humans, as the theory of embodied cognition has shown. But until the concept of embodied cognition gained traction, we had developed a pretty intellectual concept of cognition: as something located in our brains, drained of emotions, utterly rational, deterministic, logical, and so on. This is still the concept of intelligence that rules research in AI.
the original goal at least, was to have a machine that could be like a human, in that the machine could do many tasks and could learn something in one domain, like if I learned how to play checkers maybe that would help me learn better how to play chess or other similar games, or even that I could use things that I’d learned in chess in other areas of life, that we sort of have this ability to generalize the things that we know or the things that we’ve learned and apply it to many different kinds of situations. But this is something that’s eluded AI systems for its entire history.
The truth is we do not need to have computers to excel in the things we do best, but to complement us. We shall bet on cognitive extension instead of trying to re-create human intelligence --which is a legitimate area of research, but computer scientists should leave this to cognitive science and neuroscience.
Last year, Page told a convention of scientists that Google is “really trying to build artificial intelligence and to do it on a large scale.”
What if they're not? What if they're building an advertising machine to manipulate us into giving them all our money?
From an investor perspective, the artificial answer certainly seems sexy while using some clever legerdemain to keep the public from seeing what's really going on behind the curtain?
It seeks to develop “the perfect search engine,” which it defines as something that “understands exactly what you mean and gives you back exactly what you want.”
What if we want more serendipity? What if we don't know what we really want? Where is this in their system?
Semantic Scholar, a free, AI-powered research tool for scientific literature
Turing was an exceptional mathematician with a peculiar and fascinating personality and yet he remains largely unknown. In fact, he might be considered the father of the von Neumann architecture computer and the pioneer of Artificial Intelligence. And all thanks to his machines; both those that Church called “Turing machines” and the a-, c-, o-, unorganized- and p-machines, which gave rise to evolutionary computations and genetic programming as well as connectionism and learning. This paper looks at all of these and at why he is such an often overlooked and misunderstood figure.
Full Fact on Twitter. (n.d.). Twitter. Retrieved 5 March 2021, from https://twitter.com/FullFact/status/1330922811448315911
Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use. (2021, March 15). University of Cambridge. https://www.cam.ac.uk/research/news/machine-learning-models-for-diagnosing-covid-19-are-not-yet-suitable-for-clinical-use
BBC Worklife. (2020, October 23). Coronavirus: How the world of work may change forever. https://www.bbc.com/worklife/article/20201023-coronavirus-how-will-the-pandemic-change-the-way-we-work
In this respect, we join Fitzpatrick (2011) in exploring “the extent to which the means of media production and distribution are undergoing a process of radical democratization in the Web 2.0 era, and a desire to test the limits of that democratization”
Something about this is reminiscent of WordPress' mission to democratize publishing. We can also compare it to Facebook whose (stated) mission is to connect people, while it's actual mission is to make money by seemingly radicalizing people to the extremes of our political spectrum.
This highlights the fact that while many may look at content moderation on platforms like Facebook as removing their voices or deplatforming them in the case of people like Donald J. Trump or Alex Jones as an anti-democratic move. In fact it is not. Because of Facebooks active move to accelerate extreme ideas by pushing them algorithmically, they are actively be un-democratic. Democratic behavior on Facebook would look like one voice, one account and reach only commensurate with that person's standing in real life. Instead, the algorithmic timeline gives far outsized influence and reach to some of the most extreme voices on the platform. This is patently un-democratic.
Meanwhile, the algorithms that recommend this content still work to maximize engagement. This means every toxic post that escapes the content-moderation filters will continue to be pushed higher up the news feed and promoted to reach a larger audience.
This and the prior note are also underpinned by the fact that only 10% of people are going to be responsible for the majority of posts, so if you can filter out the velocity that accrues to these people, you can effectively dampen down the crazy.
In his New York Times profile, Schroepfer named these limitations of the company’s content-moderation strategy. “Every time Mr. Schroepfer and his more than 150 engineering specialists create A.I. solutions that flag and squelch noxious material, new and dubious posts that the A.I. systems have never seen before pop up—and are thus not caught,” wrote the Times. “It’s never going to go to zero,” Schroepfer told the publication.
The one thing many of these types of noxious content WILL have in common are the people at the fringes who are regularly promoting it. Why not latch onto that as a means of filtering?
But anything that reduced engagement, even for reasons such as not exacerbating someone’s depression, led to a lot of hemming and hawing among leadership. With their performance reviews and salaries tied to the successful completion of projects, employees quickly learned to drop those that received pushback and continue working on those dictated from the top down.
If the company can't help regulate itself using some sort of moral compass, it's imperative that government or other outside regulators should.
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Joan Donovan, PhD</span> in "This is just some of the best back story I’ve ever read. Facebooks web of influence unravels when @_KarenHao pulls the wrong thread. Sike!! (Only the Boston folks will get that.)" / Twitter (<time class='dt-published'>03/14/2021 12:10:09</time>)</cite></small>
System architects: equivalents to architecture and planning for a world of knowledge and data Both government and business need new skills to do this work well. At present the capabilities described in this paper are divided up. Parts sit within data teams; others in knowledge management, product development, research, policy analysis or strategy teams, or in the various professions dotted around government, from economists to statisticians. In governments, for example, the main emphasis of digital teams in recent years has been very much on service design and delivery, not intelligence. This may be one reason why some aspects of government intelligence appear to have declined in recent years – notably the organisation of memory.57 What we need is a skill set analogous to architects. Good architects learn to think in multiple ways – combining engineering, aesthetics, attention to place and politics. Their work necessitates linking awareness of building materials, planning contexts, psychology and design. Architecture sits alongside urban planning which was also created as an integrative discipline, combining awareness of physical design with finance, strategy and law. So we have two very well-developed integrative skills for the material world. But there is very little comparable for the intangibles of data, knowledge and intelligence. What’s needed now is a profession with skills straddling engineering, data and social science – who are adept at understanding, designing and improving intelligent systems that are transparent and self-aware58. Some should also specialise in processes that engage stakeholders in the task of systems mapping and design, and make the most of collective intelligence. As with architecture and urban planning supply and demand need to evolve in tandem, with governments and other funders seeking to recruit ‘systems architects’ or ‘intelligence architects’ while universities put in place new courses to develop them.
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>@Currofile</span> in marina @ bliss on Twitter: "@__baileybrooks @SlackHQ This looks in line with something that https://t.co/lo2XmYayhG is building." / Twitter (<time class='dt-published'>03/09/2021 09:27:46</time>)</cite></small>
Mendels, D.-A., Dortet, L., Emeraud, C., Oueslati, S., Girlich, D., Ronat, J.-B., Bernabeu, S., Bahi, S., Atkinson, G. J. H., & Naas, T. (2021). Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation. Proceedings of the National Academy of Sciences, 118(12). https://doi.org/10.1073/pnas.2019893118
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4(12), 1303–1312. https://doi.org/10.1038/s41562-020-01009-0
<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Cory Doctorow</span> in Pluralistic: 16 Feb 2021 – Pluralistic: Daily links from Cory Doctorow (<time class='dt-published'>02/25/2021 12:20:24</time>)</cite></small>
Longoni, C., Fradkin, A., Cian, L., & Pennycook, G. (2021, February 16). News from Artificial Intelligence is Believed Less. https://doi.org/10.31234/osf.io/wgy9e
Educational Data Mining (EDM) and Learning Analytics (LA) are among the top buzzwords of the EdTech scene right now.
Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
As an opening move, I’d suggest that we could reconceptualize intelligence as NaQ (neuroacoustic quotient), or ‘the capacity to cleanly switch between different complex neuroacoustic profiles.’
also seems more neutral and embracing the differences in [[neurodiversity]] / individual thinking vs relentless optimizing for a certain KPI (like for IQs) #[[to write]]
FTS News Desk (2020) Blue J Launches Free Tools to Help Determine COVID-19 Relief Eligibility. Global FinTech Series. Retrieved from: https://globalfintechseries.com/blue-j-launches-free-tools-to-help-determine-covid-19-relief-eligibility/
création collective de sens qui est au cœur de l’intelligence humaine
objectif de l'intelligence collective, des humanités numériques comme discipline en communauté
les chercheurs en sciences humaines doivent donner l’exemple – dans leur pratique ! – d’une production de sens qui s’offre à la connaissance de la manière la plus transparente possible
Injonction aux faiseurs de connaissance – autre morceau du programme de l’intelligence collective de Pierre Lévy?
versant éthique?
Australia's Cyber Security Strategy: $1.66 billion dollar cyber security package = AFP gets $88 million; $66 million to critical infrastructure organisations to assess their networks for vulnerabilities; ASD $1.35 billion (over a decade) to recruit 500 officers.
Reasons Dutton gives for package:
What is defined as critical infrastructure is expanded and subject to obligations to improve their defences.
Supporting cyber resilience of SMEs through information, training, and services to make them more secure.
Similarly, technology can help us control the climate, make AI safe, and improve privacy.
regulation needs to surround the technology that will help with these things
What if you could use AI to control the content in your feed? Dialing up or down whatever is most useful to you. If I’m on a budget, maybe I don’t want to see photos of friends on extravagant vacations. Or, if I’m trying to pay more attention to my health, encourage me with lots of salads and exercise photos. If I recently broke up with somebody, happy couple photos probably aren’t going to help in the healing process. Why can’t I have control over it all, without having to unfollow anyone. Or, opening endless accounts to separate feeds by topic. And if I want to risk seeing everything, or spend a week replacing my usual feed with images from a different culture, country, or belief system, couldn’t I do that, too?
Some great blue sky ideas here.
Walter Pitts was pivotal in establishing the revolutionary notion of the brain as a computer, which was seminal in the development of computer design, cybernetics, artificial intelligence, and theoretical neuroscience. He was also a participant in a large number of key advances in 20th-century science.
DiResta, Renée. ‘The Supply of Disinformation Will Soon Be Infinite’. The Atlantic, 20 September 2020. https://www.theatlantic.com/ideas/archive/2020/09/future-propaganda-will-be-computer-generated/616400/.
doivent consulter des oracles
Par exemple, pour entraîner une intelligence artificielle, le philosophe montréalais Martin Gibert propose de montrer aux IA des exemples, des modèles à suivre (des Greta et des Mère Theresa) plutôt que d’essayer de leur enseigner les concepts de la philosophie morale.
Gignac, G. E., & Zajenkowski, M. (2020). The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data. Intelligence, 80, 101449. https://doi.org/10.1016/j.intell.2020.101449
Lu, D. (n.d.). AI can edit video in real time to sync new audio to people’s lips. New Scientist. Retrieved September 14, 2020, from https://www.newscientist.com/article/2254326-ai-can-edit-video-in-real-time-to-sync-new-audio-to-peoples-lips/
Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
Shan, B., Broza, Y. Y., Li, W., Wang, Y., Wu, S., Liu, Z., Wang, J., Gui, S., Wang, L., Zhang, Z., Liu, W., Zhou, S., Jin, W., Zhang, Q., Hu, D., Lin, L., Zhang, Q., Li, W., Wang, J., … Haick, H. (2020). Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath. ACS Nano. https://doi.org/10.1021/acsnano.0c05657
Online Harms & Disinformation Post-COVID. (n.d.). Retrieved 20 August 2020, from https://www.youtube.com/watch?v=N2BmRuXbNhk
Optimizing Research Collaboration. (n.d.). Retrieved 10 August 2020, from https://youtu.be/TFNqf7sKwKw
Advantages of people in [[Silicon Valley]]:** super smart but not necessarily highly educated so they don’t just believe what everyone else does. **They think outside the box. They’re thinkers as well as people that have had to do things and pass [[reality]] tests. The only test most academics face is "can I publish this piece?"
What differs people in Silicon Valley and typical students
Cognitive Performance in the Home Office – Evidence from Professional Chess. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13491/
Martin, G., Hanna, E., & Dingwall, R. (2020). Face masks for the public during Covid-19: An appeal for caution in policy [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uyzxe
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But tagging, alone, is still not good enough. Even our many tags become useless if/when their meaning changes (in our minds) by the time we go retrieve the data they point to. This could be years after we tagged something. Somehow, whether manually or automatically, we need agents and tools to help us keep our tags updated and relevant.
search engines usually can surface that faster (less cognitive load than recalling what and where you store something) than you retrieve it in your second brain (abundance info, do can always retrieve from external source in a JIT fashion)
each of them flows through each of the two layers of the encoder
each of them flows through each of the two layers of EACH encoder, right?
It made it challenging for the models to deal with long sentences.
This is similar to autoencoders struggling with producing high-resolution imagery because of the compression that happens in the latent space, right?
it seems that word-level models work better than character-level models
Interesting, if you think about it, both when we as humans read and write, we think in terms of words or even phrases, rather than characters. Unless we're unsure how to spell something, the characters are a secondary thought. I wonder if this is at all related to the fact that word-level models seem to work better than character-level models.
As you can see above, sometimes the model tries to generate latex diagrams, but clearly it hasn’t really figured them out.
I don't think anyone has figured latex diagrams (tikz) out :')
Antichrist
uhhh should we be worried
We only forget when we’re going to input something in its place. We only input new values to the state when we forget something older.
seems like a decision aiming for efficiency
outputs a number between 000 and 111 for each number in the cell state Ct−1Ct−1C_{t-1}
remember, each line represents a vector.
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World Pandemic Research Network
Just as journalists should be able to write about anything they want, comedians should be able to do the same and tell jokes about anything they please
where's the line though? every output generates a feedback loop with the hivemind, turning into input to ourselves with our cracking, overwhelmed, filters
it's unrealistic to wish everyone to see jokes are jokes, to rely on journalists to generate unbiased facts, and politicians as self serving leeches, err that's my bias speaking
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