- Last 7 days
-
www.amazon.com www.amazon.com
-
Impromptu: Amplifying Our Humanity Through AI by Reid Hoffman
via Friends of the Link
-
-
www.nybooks.com www.nybooks.com
-
Primary care physician Gavin Francis reviews two books on the importance of forgetting, as part of a larger reflection on memory.
-
- Mar 2023
-
web.hypothes.is web.hypothes.is
-
-
Annotation and AI Starter Assignments<br /> by Jeremy Dean
- students as fact-checkers
- students as content experts
- students as editors
-
-
-
www.wired.com www.wired.com
-
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
-
-
chat.openai.com chat.openai.comChatGPT1
-
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.
-
- Feb 2023
-
www.youtube.com www.youtube.comYouTube1
-
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
-
-
Local file Local file
-
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..."
-
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?
-
-
nymag.com nymag.com
-
In his 1976 book, Computer Power and Human Reason: From Judgment to Calculation, the computer scientist Joseph Weizenbaum observed some interesting tendencies in his fellow humans. In one now-famous anecdote, he described his secretary’s early interactions with his program ELIZA, a proto-chatbot he created in 1966.
Description of Joseph Weizenbaum's ELIZA program
When rule-based artificial intelligence was the state-of-the-art.
-
-
www.cyberneticforests.com www.cyberneticforests.com
-
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.
-
-
wordcraft-writers-workshop.appspot.com wordcraft-writers-workshop.appspot.com
-
Sloan, Robin. “Author’s Note.” Experimental fiction. Wordcraft Writers Workshop, November 2022. https://wordcraft-writers-workshop.appspot.com/stories/robin-sloan.
brilliant!
-
"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!
-
-
wordcraft-writers-workshop.appspot.com wordcraft-writers-workshop.appspot.com
-
Wordcraft Writers Workshop by Andy Coenen - PAIR, Daphne Ippolito - Brain Research Ann Yuan - PAIR, Sehmon Burnam - Magenta
cross reference: ChatGPT
-
LaMDA was not designed as a writing tool. LaMDA was explicitly trained to respond safely and sensibly to whomever it’s engaging with.
-
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.
-
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?
-
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.
-
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.?
-
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.
-
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.
-
Wordcraft tended to produce only average writing.
How to improve on this state of the art?
-
“...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?
-
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'".
-
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.
-
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.
-
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?
-
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.
Tags
- affordances
- Eugenia Triantafyllou
- open questions
- blank page
- rhetoric
- surprise
- magic of artificial intelligence
- writing tools
- commonplace books
- blank page brainstorming
- Wordcraft
- structural racism
- tools for thought
- Mad Libs
- artificial intelligence for writing
- cadavre exquis
- magic
- emergence
- Vladimir Nabokov
- training sets
- prompt engineering
- read
- predictive text
- artificial intelligence
- hallucination
- combinatorial creativity
- Twyla Tharp
- information theory
- definitions
- content moderation
- examples
- large langue models
- technophobia
- programmed creativity
- training
- group creativity
- Weapons of Math Destruction
- press of a button
- quotes
- technophilia
- artificial intelligence bias
- brainstorming
- LaMDA
- PAIR (Google)
- limits of creativity
- in-context learning
- tools for creativity
- ChatGPTedu
- text editors
- safety
- serendipity
- Eloi vs Morlocks
- writing vs. editing
- surrealism
- digital amanuensis
- corpus linguistics
- storytelling
- structural bias
- writer's block
- card index for creativity
- creativity catalysts
- zettelkasten
- magic of note taking
- human computer interaction
- creative writing
- user interface
- experimental fiction
Annotators
URL
-
-
pair.withgoogle.com 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.
-
-
Local file Local file
-
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/
-
-
www.robinsloan.com www.robinsloan.com
-
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.
-
-
www.politifact.com www.politifact.com
-
PolitiFact - People are using coded language to avoid social media moderation. Is it working?<br /> by Kayla Steinberg<br /> November 4, 2021
-
-
www.wisdomofchopra.com www.wisdomofchopra.com
-
http://www.wisdomofchopra.com/...
A random generator using Deepak Chopra tweets.
Reminiscent of https://hypothes.is/a/bzlr9l06Ee23w7voPzbY5g
-
-
sciencegarden.net sciencegarden.net
-
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)
-
-
docs.google.com docs.google.com
-
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>
-
-
docs.google.com docs.google.com
-
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>
-
-
arstechnica.com arstechnica.com
-
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.
-
- Jan 2023
-
-
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?
-
-
www.cambridge.org www.cambridge.org
-
We appreciate this is a long span of time, and were concerned why any specific artificial memory system should last for so long.
I suspect that artificial memory systems, particularly those that make some sort of logical sense, will indeed be long lasting ones.
Given the long, unchanging history of the Acheulean hand axe, as an example, these sorts of ideas and practices were handed down from generation to generation.
Given their ties to human survival, they're even more likely to persist.
Indigenous memory systems in Aboriginal settings date to 65,000 years and also provide an example of long-lived systems.
-
Francesco d'Errico has done much to advance our understanding of artificial/ external memory systems.
-
These may occur on rock walls, but were commonly engraved onto robust bones since at least the beginning of the European Upper Palaeolithic and African Late Stone Age, where it is obvious they served as artificial memory systems (AMS) or external memory systems (EMS) to coin the terms used in Palaeolithic archaeology and cognitive science respectively, exosomatic devices in which number sense is clearly evident (for definitions see d’Errico Reference d'Errico1989; Reference d'Errico1995a,Reference d'Erricob; d'Errico & Cacho Reference d'Errico and Cacho1994; d'Errico et al. Reference d'Errico, Doyon and Colage2017; Hayden Reference Hayden2021).
Abstract marks have appeared on rock walls and engraved into robust bones as artificial memory systems (AMS) and external memory systems (EMS).
-
-
forum.artofmemory.com forum.artofmemory.com
-
Those interested in archaeology and anthropology with respect to art and memory may appreciate this new paper which could push the date of our earliest writing systems back several thousands of years. (cc @LynneKelly)
Upper Palaeolithic Proto-writing System and Phenological Calendar<br /> https://www.cambridge.org/core/journals/cambridge-archaeological-journal/article/an-upper-palaeolithic-protowriting-system-and-phenological-calendar/6F2AD8A705888F2226FE857840B4FE19
Tags
Annotators
URL
-
-
genizalab.princeton.edu genizalab.princeton.edu
-
Local file Local file
-
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.
Tags
- codicology
- contextual clues
- epigraphy
- graphology
- Friedberg Jewish Manuscript Society
- corpus linguistics
- jigsaw puzzles
- natural language processing
- contextual extrapolation
- fragments
- artificial intelligence
- Friedberg Judeo-Arabic Project
- joins
- textual scholarship
- Cairo Geniza
- Friedberg Genizah Project
- information theory
- digital humanities
Annotators
-
- Dec 2022
-
ojs.stanford.edu ojs.stanford.edu
-
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
-
-
meso.tzyl.nl meso.tzyl.nl
-
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.
-
-
meso.tzyl.nl meso.tzyl.nl
-
if people annotate a generated text, is that a diminished conversation compared to one with a human authored text?
🤔
-
-
- Nov 2022
-
www.methexis.ai www.methexis.aiFlow1
-
h.diplomacy.edu h.diplomacy.edu
-
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
-
-
infiniteconversation.com infiniteconversation.com
-
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.
-
- Oct 2022
-
www.robinsloan.com www.robinsloan.com
-
https://www.robinsloan.com/notes/writing-with-the-machine/
Related work leading up to this video: https://vimeo.com/232545219
-
-
www.explainpaper.com 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
-
-
www.supermind.design www.supermind.design
-
https://www.supermind.design/database
-
-
stevenberlinjohnson.com stevenberlinjohnson.com
-
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.
-
- Sep 2022
-
www.scientificamerican.com www.scientificamerican.com
-
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.
-
-
www.re-collect.ai www.re-collect.ai
-
You consume information constantly.Let’s put it to work. We're building an automatic
-
- Aug 2022
-
www.newscientist.com www.newscientist.com
-
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
-
-
www.bundleiq.com www.bundleiq.com
-
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...
-
-
en.wikipedia.org en.wikipedia.org
-
The term "stigmergy" was introduced by French biologist Pierre-Paul Grassé in 1959 to refer to termite behavior. He defined it as: "Stimulation of workers by the performance they have achieved." It is derived from the Greek words στίγμα stigma "mark, sign" and ἔργον ergon "work, action", and captures the notion that an agent’s actions leave signs in the environment, signs that it and other agents sense and that determine and incite their subsequent actions.[4][5]
Theraulaz, Guy (1999). "A Brief History of Stigmergy". Artificial Life. 5 (2): 97–116. doi:10.1162/106454699568700. PMID 10633572. S2CID 27679536.
-
-
Local file Local file
-
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...
-
-
www.youtube.com www.youtube.com
-
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
-
- Jul 2022
-
en.itpedia.nl en.itpedia.nl
-
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.
-
-
bafybeiac2nvojjb56tfpqsi44jhpartgxychh5djt4g4l4m4yo263plqau.ipfs.dweb.link bafybeiac2nvojjb56tfpqsi44jhpartgxychh5djt4g4l4m4yo263plqau.ipfs.dweb.link
-
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
- Optimization problem - human beings, their social system and AI - what is optimal configuration?
-
-
dataconomy.com dataconomy.com
-
Superintelligence has long served as a source of inspiration for dystopian science fiction that showed humanity being overthrown, defeated, or imprisoned by machines.
-
-
-
that advanced AI is already reflecting our own prejudices and biases.
-
- Jun 2022
-
maggieappleton.com maggieappleton.com
-
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.
-
-
bigtechnology.substack.com bigtechnology.substack.com
-
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.
Philosophical questions for AI-generated artwork
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.
-
-
assets.pubpub.org assets.pubpub.org
-
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".
-
- May 2022
-
link.springer.com link.springer.com
-
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.
-
-
arxiv.org arxiv.org
-
Hypothesis page to discuss this high level description of DeepMind's new Gato framework.
-
-
omniorthogonal.blogspot.com omniorthogonal.blogspot.com
-
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.
-
-
techpolicy.press techpolicy.press
-
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.
-
-
www.technologyreview.com www.technologyreview.com
-
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.
AI-driven Surveillance-as-a-Service
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.
-
- Apr 2022
-
winnielim.org winnielim.org
-
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.
-
-
en.wikipedia.org en.wikipedia.org
-
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"?
-
-
elicit.org elicit.orgElicit1
- Mar 2022
-
-
Social Media Conversations in Support of Herd Immunity are Driven by Bots. (n.d.). Federation Of American Scientists. Retrieved March 31, 2022, from https://fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/
Tags
- herd immunity
- online misinformation
- bot
- lang:en
- social media
- artificial account
- conversation
- misinformation
- is:article
- modeling
- inorganic activity
- one-sided automation
- transmission
- COVID-19
Annotators
URL
fas.org/blogs/fas/2020/10/social-media-conversations-in-support-of-herd-immunity-are-driven-by-bots/ -
-
-
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
-
-
artsandculture.google.com artsandculture.google.com
-
www.lemonde.fr www.lemonde.fr
-
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
-
-
www.nature.com www.nature.com
-
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.
-
-
www.cs.umd.edu www.cs.umd.edu
-
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.
-
- Feb 2022
-
twitter.com twitter.com
-
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
-
-
perusall.com perusall.comPerusall1
-
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
-
-
www.udacity.com www.udacity.com
-
www.abc.net.au www.abc.net.au
-
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.
-
-
Local file Local file
-
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.
-
-
beta.flim.ai beta.flim.aiFlim1
- Jan 2022
-
vimeo.com vimeo.com
-
from: Eyeo Conference 2017
Description
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.
Notes
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.
Open questions
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?
References:
- Andrej Karpathy. 2015. "The Unreasonable Effectiveness of Recurrent Neural Networks"
- Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. "Generating sentences from a continuous space." 2015. arXiv: 1511.06349
- Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017. "A Hybrid Convolutional Variational Autoencoder for Text generation." arXiv:1702.02390
- Soroush Mehri, et al. 2017. "SampleRNN: An Unconditional End-to-End Neural Audio Generation Model." arXiv:1612.07837 applies neural networks to sound and sound production
-
-
www.theatlantic.com www.theatlantic.com
-
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.
-
- Dec 2021
-
www.theguardian.com www.theguardian.com
-
- Nov 2021
-
arxiv.org arxiv.org
-
Just because a dataset is publicly available doesn't mean that you can use it to build commercial AI software.
-
- Oct 2021
-
www.theguardian.com www.theguardian.com
-
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
-
-
www.psychologytoday.com www.psychologytoday.com
-
Our Unnatural Fascination With All Things Natural | Psychology Today Canada. (n.d.). Retrieved October 12, 2021, from https://www.psychologytoday.com/ca/blog/the-gravity-weight/202109/our-unnatural-fascination-all-things-natural
-
-
www.miamiherald.com www.miamiherald.com
-
Florida changed its COVID-19 data, creating an ‘artificial decline’ in recent deaths. (n.d.). Miami Herald. Retrieved September 2, 2021, from https://www.miamiherald.com/news/coronavirus/article253796898.html
-
- Sep 2021
-
allevents.in allevents.in
-
I meant to join this last week, but didn't manage. Now I'll have to watch the video after the fact:
-
- Aug 2021
-
bylinetimes.com bylinetimes.com
-
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/
-
-
www.beckershospitalreview.com www.beckershospitalreview.com
-
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.
-
- Jul 2021
-
www.newscientist.com www.newscientist.com
-
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/
-
-
arxiv.org arxiv.org
-
<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>
-
-
www.quantamagazine.org www.quantamagazine.org
-
twitter.com twitter.com
-
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
-
- Jun 2021
-
