- Nov 2023
-
www.meetup.com www.meetup.com
-
https://www.meetup.com/edtechsocal/events/296723328/
Generative AI: Super Learning Skills with Data Discovery and more!
-
-
-
Research and write your next paper with Jenni AI
-
-
www.scholarcy.com www.scholarcy.com
-
The AI-powered article summarizer
Scholarcy https://www.scholarcy.com/
-
-
www.wizdom.ai www.wizdom.ai
-
Your personal research assistant
-
-
hu.ma.ne hu.ma.ne
-
The AI pin has just been listed o/a 2023-11-10.
Tags
Annotators
URL
-
-
social.coop social.coopMastodon1
-
I use expiration dates and refrigerators to make a point about #AI and over-reliance, and @dajb uses ducks. #nailingit @weareopencoop
—epilepticrabbit @epilepticrabbit@social.coop on Nov 09, 2023, 11:51 at https://mastodon.social/@epilepticrabbit@social.coop/111382329524902140
-
-
ailiteracy.fyi ailiteracy.fyi
-
https://ailiteracy.fyi/
Doug Belshaw joint
-
-
twitter.com twitter.com
-
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>As an ex-Viv (w/ Siri team) eng, let me help ease everyone's future trauma as well with the Fundamentals of Assisted Intelligence.<br><br>Make no mistake, OpenAI is building a new kind of computer, beyond just an LLM for a middleware / frontend. Key parts they'll need to pull it off:… https://t.co/uIbMChqRF9
— Rob Phillips 🤖🦾 (@iwasrobbed) October 29, 2023
-
-
www.theguardian.com www.theguardian.com
-
-
www.nytimes.com www.nytimes.com
-
-
www.cnn.com www.cnn.com
-
www.washingtonpost.com www.washingtonpost.com
-
- Oct 2023
-
www.nature.com www.nature.com
-
Wang et. al. "Scientific discovery in the age of artificial intelligence", Nature, 2023.
A paper about the current state of using AI/ML for scientific discovery, connected with the AI4Science workshops at major conferences.
(NOTE: since Springer/Nature don't allow public pdfs to be linked without a paywall, we can't use hypothesis directly on the pdf of the paper, this link is to the website version of it which is what we'll use to guide discussion during the reading group.)
-
-
-
Three AI Chatbots, Two Books, and One Weird Annotation Experiment by Remi Kalir on September 29, 2023 https://remikalir.com/blog/three-ai-chatbots-two-books-and-one-weird-annotation-experiment/
-
whether or not it was appropriate to write notes in library books (OK according to Bard, nope for ChatGPT and Claude).
An interesting divergent take on writing in library books...
-
-
typeshare.co typeshare.co
-
-
typeshare.co typeshare.co
-
-
-
Envisioning the next wave of emergent AI
Are we stretching too far by saying that AI are currently emergent? Isn't this like saying that card indexes of the early 20th century are computers. In reality they were data storage and the "computing" took place when humans did the actual data processing/thinking to come up with new results.
Emergence would seem to actually be the point which comes about when the AI takes its own output and continues processing (successfully) on it.
-
-
aboard.com aboard.com
-
A card-based collaboration tool that leverages information visualization. Pinterest for collaborative teams with expandable data.
Looks interesting and I've got a beta invite, but not sure if it fits any of my needs, particularly with an eye toward note taking.
-
- Sep 2023
-
www.theguardian.com www.theguardian.com
-
-
Amazon has become a marketplace for AI-produced tomes that are being passed off as having been written by humans, with travel books among the popular categories for fake work.
-
-
-
Envisioning the next wave of emergent AIAn experimental Future Trends Forum workshop event
-
-
www.britannica.com www.britannica.com
-
R.U.R.: Rossum’s Universal Robots, drama in three acts by Karel Čapek, published in 1920 and performed in 1921. This cautionary play, for which Čapek invented the word robot (derived from the Czech word for forced labour), involves a scientist named Rossum who discovers the secret of creating humanlike machines. He establishes a factory to produce and distribute these mechanisms worldwide. Another scientist decides to make the robots more human, which he does by gradually adding such traits as the capacity to feel pain. Years later, the robots, who were created to serve humans, have come to dominate them completely.
-
-
docdrop.org docdrop.org
-
What do you do then? You can take the book to someone else who, you think, can read better than you, and have him explain the parts that trouble you. ("He" may be a living person or another book-a commentary or textbook. )
This may be an interesting use case for artificial intelligence tools like ChatGPT which can provide the reader of complex material with simplified synopses to allow better penetration of the material (potentially by removing jargon, argot, etc.)
-
Active Reading
He then pushes a button and "plays back" the opinion whenever it seems appropriate to do so. He has performed acceptably without having had to think.
This seems to be a reasonable argument to make for those who ask, why read? why take notes? especially when we can use search and artificial intelligence to do the work for us. Can we really?
-
-
-
These articles kill me. They sit at surface level and don't delve any deeper for actual insight. And this is why these techniques are necessary. (BTW, these methods go back thousands of years... Tiago didn't invent them.)
-
-
a16z.simplecast.com a16z.simplecast.com
-
https://a16z.simplecast.com/episodes/a-true-second-brain-xrODaBD2
Recommended by Michael Grossman
-
- Aug 2023
-
-
Do not rely on Claude without doing your own independent research.
-
-
remikalir.com remikalir.com
-
Kalir, Remi H. “Playing with Claude.” Academic blog. Remi Kalir (blog), August 25, 2023. https://remikalir.com/blog/playing-with-claude/.
-
-
chat.openai.com chat.openai.comChatGPT1
-
www.youtube.com www.youtube.com
-
&list=PLdAbfZfaH_1I0vD3GsgbIdsLp6id6AOUb&index=9
-
-
Local file Local file
-
Mills, Anna, Maha Bali, and Lance Eaton. “How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process.” Journal of Applied Learning and Teaching 6, no. 1 (June 11, 2023): 16–30. https://doi.org/10.37074/jalt.2023.6.1.34.
Annotation url: urn:x-pdf:bb16e6f65a326e4089ed46b15987c1e7
-
-
-
danallosso.substack.com danallosso.substack.com
-
Remember ChatGPT? It is going to do to the white collar world what robotics and offshoring did to blue collar America. So maybe this isn't the best time to be abandoning the Humanities to focus on vocational training?
This is one of the things that doesn't seem to be being explored enough presently, or at least I'm not seeing it outside of the SAG and WGA strikes where it seems to be a side issue rather than a primary issue.
-
-
textfx.withgoogle.com textfx.withgoogle.comTextFX1
-
er.educause.edu er.educause.edu
-
A Generative AI Primer on 2023-08-15 by Brian Basgen
ᔥGeoff Corb in LinkedIn update (accessed:: 2023-08-26 01:34:45)
-
- Jul 2023
-
arxiv.org arxiv.org
-
Epstein, Ziv, Hertzmann, Aaron, Herman, Laura, Mahari, Robert, Frank, Morgan R., Groh, Matthew, Schroeder, Hope et al. "Art and the science of generative AI: A deeper dive." ArXiv, (2023). Accessed July 21, 2023. https://doi.org/10.1126/science.adh4451.
Abstract
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.
-
- Jun 2023
-
www.imm.dtu.dk www.imm.dtu.dk
-
Reflection enters the picture when we want to allow agents to reflect uponthemselves and their own thoughts, beliefs, and plans. Agents that have thisability we call introspective agents.
-
-
learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com
-
The problem with that presumption is that people are alltoo willing to lower standards in order to make the purported newcomer appear smart. Justas people are willing to bend over backwards and make themselves stupid in order tomake an AI interface appear smart
AI has recently become such a big thing in our lives today. For a while I was seeing chatgpt and snapchat AI all over the media. I feel like people ask these sites stupid questions that they already know the answer too because they don't want to take a few minutes to think about the answer. I found a website stating how many people use AI and not surprisingly, it shows that 27% of Americans say they use it several times a day. I can't imagine how many people use it per year.
Tags
Annotators
URL
-
-
docdrop.org docdrop.org
-
there is a scenario 00:18:21 uh possibly a likely scenario where we live in a Utopia where we really never have to worry again where we stop messing up our our planet because intelligence is not a bad commodity more 00:18:35 intelligence is good the problems in our planet today are not because of our intelligence they are because of our limited intelligence
-
limited (machine) intelligence
- cannot help but exist
- if the original (human) authors of the AI code are themselves limited in their intelligence
-
comment
- this limitation is essentially what will result in AI progress traps
- Indeed,
- progress and their shadow artefacts,
- progress traps,
- is the proper framework to analyze the existential dilemma posed by AI
-
-
-
www.youtube.com www.youtube.com
-
OEG Live: Audiobook Versions of OER Textbooks (and AI Implications)
Host: Alan Levine<br /> Panelists: Brian Barrick (LA Harbor College), Delmar Larsen, Brenna, Jonathan, Amanda Grey (KPU), Steel Wagstaff (Pressbooks).
Find out more information and discuss this topic on OEG Connect: https://oeg.pub/439V1Bc
-
-
writeout.ai writeout.ai
-
Recommended by Steel Wagstaff at OEG Live 2023-06-02.
-
-
adjacentpossible.substack.com adjacentpossible.substack.com
-
Project Tailwind by Steven Johnson
-
I’ve also found that Tailwind works extremely well as an extension of my memory. I’ve uploaded my “spark file” of personal notes that date back almost twenty years, and using that as a source, I can ask remarkably open-ended questions—“did I ever write anything about 19th-century urban planning” or “what was the deal with that story about Houdini and Conan Doyle?”—and Tailwind will give me a cogent summary weaving together information from multiple notes. And it’s all accompanied by citations if I want to refer to the original direct quotes for whatever reason.
This sounds like the sort of personalized AI tool I've been wishing for since the early ChatGPT models if not from even earlier dreams that predate that....
-
- May 2023
-
-
Deep Learning (DL) A Technique for Implementing Machine LearningSubfield of ML that uses specialized techniques involving multi-layer (2+) artificial neural networksLayering allows cascaded learning and abstraction levels (e.g. line -> shape -> object -> scene)Computationally intensive enabled by clouds, GPUs, and specialized HW such as FPGAs, TPUs, etc.
[29] AI - Deep Learning
-
-
en.wikiquote.org en.wikiquote.org
-
The object of the present volume is to point out the effects and the advantages which arise from the use of tools and machines ;—to endeavour to classify their modes of action ;—and to trace both the causes and the consequences of applying machinery to supersede the skill and power of the human arm.
[28] AI - precedents...
-
-
openai.com openai.comGPT-41
-
Safety & alignment
[25] AI - Alignment
Tags
Annotators
URL
-
-
ourworldindata.org ourworldindata.orgBooks1
-
A book is defined as a published title with more than 49 pages.
[24] AI - Bias in Training Materials
-
-
www.notepage.net www.notepage.net
-
Epidemiologist Michael Abramson, who led the research, found that the participants who texted more often tended to work faster but score lower on the tests.
[21] AI - Skills Erosion
-
-
www.technologyreview.com www.technologyreview.com
-
An AI model taught to view racist language as normal is obviously bad. The researchers, though, point out a couple of more subtle problems. One is that shifts in language play an important role in social change; the MeToo and Black Lives Matter movements, for example, have tried to establish a new anti-sexist and anti-racist vocabulary. An AI model trained on vast swaths of the internet won’t be attuned to the nuances of this vocabulary and won’t produce or interpret language in line with these new cultural norms. It will also fail to capture the language and the norms of countries and peoples that have less access to the internet and thus a smaller linguistic footprint online. The result is that AI-generated language will be homogenized, reflecting the practices of the richest countries and communities.
[21] AI Nuances
-
-
serokell.io serokell.io
-
According to him, there are several goals connected to AI alignment that need to be addressed:
[20] AI - Alignment Goals
-
-
cointelegraph.com cointelegraph.com
-
The AI developers came under intense scrutiny in Europe recently, with Italy being the first Western nation to temporarily ban ChatGPT
[19] AI - Legal Response
-
-
www.visualcapitalist.com www.visualcapitalist.com
-
The following table lists the results that we visualized in the graphic.
[18] AI - Increased sophistication
-
-
bard.google.com bard.google.comBard1
-
Meet Bard: your creative and helpful collaborator, here to supercharge your imagination, boost your productivity, and bring your ideas to life.
-
-
hamlet.andromedayelton.com hamlet.andromedayelton.com
-
https://hamlet.andromedayelton.com/
- Given a thesis, find out which other theses are most conceptually similar.
-
-
librarian.aedileworks.com librarian.aedileworks.com
-
The promise of using machine learning on your own notes to connect with external sources is not new. Andromeda Yelton’s HAMLET is six years old.
-
Asking a computer to create a glossary for you doesn’t make you any smarter than having a book that comes with a glossary.
-
-
www.youtube.com www.youtube.com
-
Tagging and linking with AI (Napkin.one) by Nicole van der Hoeven
https://www.youtube.com/watch?v=p2E3gRXiLYY
Nicole underlines the value of a good user interface for traversing one's notes. She'd had issues with tagging things in Obsidian using their #tag functionality, but never with their [[WikiLink]] functionality. Something about the autotagging done by Napkin's artificial intelligence makes the process easier for her. Some of this may be down to how their user interface makes it easier/more intuitive as well as how it changes and presents related notes in succession.
Most interesting however is the visual presentation of notes and tags in conjunction with an outliner for taking one's notes and composing a draft using drag and drop.
Napkin as a visual layer over tooling like Obsidian, Logseq, et. al. would be a much more compelling choice for me in terms of taking my pre-existing data and doing something useful with it rather than just creating yet another digital copy of all my things (and potentially needing sync to keep them up to date).
What is Napkin doing with all of their user's data?
-
- Apr 2023
-
crsreports.congress.gov crsreports.congress.gov
-
Abstract
Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other artworks. This Legal Sidebar explores questions that courts and the U.S. Copyright Office have begun to confront regarding whether the outputs of generative AI programs are entitled to copyright protection as well as how training and using these programs might infringe copyrights in other works.
-
-
-
It was only by building an additional AI-powered safety mechanism that OpenAI would be able to rein in that harm, producing a chatbot suitable for everyday use.
This isn't true. The Stochastic Parrots paper outlines other avenues for reining in the harms of language models like GPT's.
-
- Mar 2023
-
dl.acm.org dl.acm.org
-
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922.
Would the argument here for stochastic parrots also potentially apply to or could it be abstracted to Markov monkeys?
-
-
www.nytimes.com www.nytimes.com
-
A.I. Is Mastering Language. Should We Trust What It Says?<br /> by Steven Johnson, art by Nikita Iziev
Johnson does a good job of looking at the basic state of artificial intelligence and the history of large language models and specifically ChatGPT and asks some interesting ethical questions, but in a way which may not prompt any actual change.
When we write about technology and the benefits and wealth it might bring, do we do too much ethics washing to help paper over the problems to help bring the bad things too easily to pass?
-
We know from modern neuroscience that prediction is a core property of human intelligence. Perhaps the game of predict-the-next-word is what children unconsciously play when they are acquiring language themselves: listening to what initially seems to be a random stream of phonemes from the adults around them, gradually detecting patterns in that stream and testing those hypotheses by anticipating words as they are spoken. Perhaps that game is the initial scaffolding beneath all the complex forms of thinking that language makes possible.
Is language acquisition a very complex method of pattern recognition?
-
How do we make them ‘‘benefit humanity as a whole’’ when humanity itself can’t agree on basic facts, much less core ethics and civic values?
-
Another way to widen the pool of stakeholders is for government regulators to get into the game, indirectly representing the will of a larger electorate through their interventions.
This is certainly "a way", but history has shown, particularly in the United States, that government regulation is unlikely to get involved at all until it's far too late, if at all. Typically they're only regulating not only after maturity, but only when massive failure may cause issues for the wealthy and then the "regulation" is to bail them out.
Suggesting this here is so pie-in-the sky that it only creates a false hope (hope washing?) for the powerless. Is this sort of hope washing a recurring part of
-
OpenAI has not detailed in any concrete way who exactly will get to define what it means for A.I. to ‘‘benefit humanity as a whole.’’
Who get's to make decisions?
-
Whose values do we put through the A.G.I.? Who decides what it will do and not do? These will be some of the highest-stakes decisions that we’ve had to make collectively as a society.’’
A similar set of questions might be asked of our political system. At present, the oligopolic nature of our electoral system is heavily biasing our direction as a country.
We're heavily underrepresented on a huge number of axes.
How would we change our voting and representation systems to better represent us?
-
Should we build an A.G.I. that loves the Proud Boys, the spam artists, the Russian troll farms, the QAnon fabulists?
What features would be design society towards? Stability? Freedom? Wealth? Tolerance?
How might long term evolution work for societies that maximized for tolerance given Popper's paradox of tolerance?
-
Right before we left our lunch, Sam Altman quoted a saying of Ilya Sutskever’s: ‘‘One thing that Ilya says — which I always think sounds a little bit tech-utopian, but it sticks in your memory — is, ‘It’s very important that we build an A.G.I. that loves humanity.’ ’’
Tags
- representation
- humanity
- leadership
- evolution of technology
- QAnon
- techbros
- shiny object syndrome
- oligopolies
- OpenAI
- Karl Popper
- governance
- power over
- quotes
- ethical technology
- language acquisition
- thinking
- tech solutionism
- cultural anthropology
- Proud Boys
- decision making
- ethics
- diversity equity and inclusion
- open questions
- paradox of tolerance
- Ilya Sutskever
- tolerance
- read
- pattern recognition
- governmental regulation
- ChatGPT
- artificial intelligence bias
- artificial intelligence
Annotators
URL
-
-
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.
-
-
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?
-
-
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
- training sets
- magic of note taking
- emergence
- corpus linguistics
- human computer interaction
- safety
- Wordcraft
- digital amanuensis
- in-context learning
- group creativity
- tools for thought
- technophilia
- ChatGPTedu
- storytelling
- Eugenia Triantafyllou
- quotes
- writing tools
- content moderation
- card index for creativity
- press of a button
- user interface
- surrealism
- structural bias
- Mad Libs
- definitions
- combinatorial creativity
- commonplace books
- writer's block
- cadavre exquis
- magic
- blank page
- experimental fiction
- tools for creativity
- technophobia
- examples
- large langue models
- surprise
- affordances
- brainstorming
- Vladimir Nabokov
- LaMDA
- structural racism
- Twyla Tharp
- zettelkasten
- text editors
- magic of artificial intelligence
- creativity catalysts
- programmed creativity
- rhetoric
- information theory
- open questions
- limits of creativity
- hallucination
- writing vs. editing
- PAIR (Google)
- read
- creative writing
- predictive text
- training
- Eloi vs Morlocks
- artificial intelligence
- artificial intelligence bias
- Weapons of Math Destruction
- serendipity
- artificial intelligence for writing
- blank page brainstorming
- prompt engineering
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?
-
-
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
- epigraphy
- contextual extrapolation
- contextual clues
- joins
- digital humanities
- jigsaw puzzles
- codicology
- Cairo Geniza
- graphology
- natural language processing
- information theory
- textual scholarship
- Friedberg Judeo-Arabic Project
- corpus linguistics
- Friedberg Genizah Project
- fragments
- Friedberg Jewish Manuscript Society
- artificial intelligence
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