AI@IA - Extracting Words Sung on 100 year-old 78rpm records - Internet Archive Blogs
A post in the series about how the Internet Archive is using AI to help build the library. Freely available Artificial Intelligence tools are now able to extract words sung on 78rpm records. The results may not be full lyrics, but we hope it can help browsing, searching, and researching. Whisper is an open source tool from OpenAI “that approaches human level robustness and accuracy on English speech recognition.” We were surprised how far it could get with recognizing spoken words on noisy disks and even words being sung.
Investigating the potential of the semantic web for education: Exploring Wikidata as a learning platform | SpringerLink
Wikidata is a free, multilingual, open knowledge-base that stores structured, linked data. It has grown rapidly and as of December 2022 contains over 100 million items and millions of statements, making it the largest semantic knowledge-base in existence. Changing the interaction between people and knowledge, Wikidata offers various learning opportunities, leading to new applications in sciences, technology and cultures. These learning opportunities stem in part from the ability to query this data and ask questions that were difficult to answer in the past. They also stem from the ability to visualize query results, for example on a timeline or a map, which, in turn, helps users make sense of the data and draw additional insights from it. Research on the semantic web as learning platform and on Wikidata in the context of education is almost non-existent, and we are just beginning to understand how to utilize it for educational purposes. This research investigates the Semantic Web as a learning platform, focusing on Wikidata as a prime example. To that end, a methodology of multiple case studies was adopted, demonstrating Wikidata uses by early adopters. Seven semi-structured, in-depth interviews were conducted, out of which 10 distinct projects were extracted. A thematic analysis approach was deployed, revealing eight main uses, as well as benefits and challenges to engaging with the platform. The results shed light on Wikidata’s potential as a lifelong learning process, enabling opportunities for improved Data Literacy and a worldwide social impact.
What was that thing again? An H5P architecture overview – SNORDIAN
When talking about H5P, one can easily get lost in terminology – in particular if one has not used H5P before. This brief description of H5P’s architecture is supposed to help to deepen the understanding of H5P. The description is directed at developers in particular who want to understand what they are dealing with. Hopefully, “normal” users can understand it as well.
Please Stop Drawing Neural Networks Wrong | by Aaron Master | Mar, 2023 | Towards Data Science
Learning neural networks should not be an exercise in decoding misleading diagrams. We propose a constructive, novel approach for teaching and learning neural networks: use good diagrams. We want diagrams that succinctly and faithfully represent the math — as seen in Feynman diagrams, Venn diagrams, digital filter diagrams, and circuit diagrams.
Artist Refuses Prize After His AI Image Wins at Top Photo Contest | PetaPixel
A photographer has stirred up fresh controversy and debate after his artificial intelligence (AI) image won first prize at one of the world’s most prestigious photography competitions. He has since declined to accept the prize while the contest has remained silent on the matter.
This charming short puts the "art" in artificial intelligence
What do you get when you combine an AI image generator, a 98-year-old woman named Lillian, and Harry Potter? The result is ‘HAIRY POUTER,’ a short film from director Chris Carboni that layers increasingly whimsical AI-generated imagery with commentary on the classic novel from a very funny nonagenarian. “Lillian is my grandmother,” says Chris. “She and I have always had a very close relationship and I’ve been recording her giving reviews for probably 10 years.” When AI image generators began to take over the internet in mid-2022, Chris saw the stars align into a new project that could leverage his hours of audio and help him explore his relationship with this emerging technology. “I had a lot of conflicted feelings about [these generators] and I was looking for an opportunity to learn about them a little bit,” explains Chris. “At the same time, I was talking to my grandmother who just finished reading ‘Harry Potter,’ which I had purchased for her as a birthday gift.” From there, the film came together at warp speed with a nimble crew – “my grandmother and my wife and our sound designer and composer, that was the full team” – and the rest is (futuristic) history. As the capabilities of AI continue to evolve at a breakneck pace, we caught up with Chris Carboni to talk all things art and artificial intelligence.
Too many teams around the world work in dreary, demotivating environments. Without control over how to do their work, no contact with the people they’re ultimately working for, and no autonomy to change anything, it is not hard to understand why they disengage or burn out. Our purpose is to liberate teams from dehumanizing and ineffective ways of organizing work by putting them in control of shaping their future. From Scrum Teams to construction squads and from strategic work-groups to management teams. And wherever they are on this planet. And we rely on your support to do this.
Replacing my best friends with an LLM trained on 500,000 group chat messages
tl;dr: I trained an uncensored large language model on the college-era group chat that me and my best friends still use, with LlaMa, Modal, and Hex. The results will shock you. The Group Chat is a hallowed thing. Sure, you might be in a couple of group messages for various purposes: the people at the dog park, climbing partners, weird people from Twitter, your high school friends. But everyone's got the one that they simply refer to as “The Group Chat”. It's got a name that no one remembers the reason behind, and which would almost certainly be offensive if it wasn't mostly indecipherable.
ChatGPT and Artificial Intelligence in Higher Education: Quick Start Guide and interactive seminar – UNESCO-IESALC
ChatGPT is an Artificial Intelligence (AI) tool that has taken the world by storm, reaching 100 million users just two months after being launched. To meet the exceptionally high level of interest in this tool, UNESCO IESALC launched a Quick Start Guide and interactive seminar on this topic in April 2023. The Quick Start Guide is a short, jargon-free downloadable guide that provides an overview of how ChatGPT works and explains how it can be used in higher education. The Quick Start Guide raises some of the main challenges and ethical implications of AI in higher education and offers practical steps that higher education institutions can take.
A collection of readings on open education with commentary. Created for IPT 515R Introduction to Open Education, a graduate course at Brigham Young University.
We, the APA Style team, are not robots. We can all pass a CAPTCHA test, and we know our roles in a Turing test. And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT. We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback. In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.
A multi-modal AI system that can generate novel videos with text, images, or video clips. Runway Research is dedicated to building the multimodal AI systems that will enable new forms of creativity. Gen-2 represents yet another of our pivotal steps forward in this mission.
What drum machines can teach us about artificial intelligence | Aeon Essays
I am a professor of science and technology studies. I am interested in social attitudes to new technologies, particularly those involving artificial intelligence. I am also a part-time mediocre drummer, relieved not to have to rely on my musical talents to pay the bills. We drummers tend to be ambivalent about technology. Like most musicians, ours is a craft that is technologically mediated. The affordances of sticks, pedals and things to hit with them enable our sound. We are used to the jokes that suggest we lack the intelligence of our fellow musicians. (What’s the difference between a drummer and a drum machine? You only have to punch the information into a drum machine once.) We worry that our bandmates, presented with technological alternatives, might look on us as a problem to be solved. We are loud; we take up space; our instruments are heavy and slow to assemble; our sounds are harsh and inconsistent, and sometimes we speed up or slow down when we play. Faced with a drum machine that keeps metronomic time, plays no more or less than is asked of it and, once purchased, costs nothing, we can’t help but feel judged: is that all you think of us? Is that thing all it takes to make a drummer redundant? Practitioners with hard-won skills will, according to the sociologist Howard Becker, ‘resist the new both because [they] find it aesthetically repellent and thus morally outrageous and because [they] stand to lose if it replaces the old’. But before we rage against the drum machine, we should seek to understand its origins and its potential. I think that, in studying the evolution of this technology, we can learn something important about automation, the future of artificial intelligence, and what it means to be human in the machine age.
Although advances in artificial intelligence (AI)1 have been unfolding for over decades, the progress in the last six months has come faster than anyone expected. The public release of ChatGPT in November 2022, in particular, has opened up new possibilities and heightened awareness of AI's potential role in various aspects of our work and life. It follows that in the context of the publishing industry, AI also holds the promise of transforming multiple facets of the publishing process2. In this blog post, we begin the development of a rough taxonomy for understanding how and where AI can and/or should play a role in a publisher’s workflow. We intend to iterate on this taxonomy (for now, we will use the working title ‘Scholarly AI Taxonomy’).
Creativity is rejected: Teachers and bosses don’t value out-of-the-box thinking.
This is the thing about creativity that is rarely acknowledged: Most people don’t actually like it. Studies confirm what many creative people have suspected all along: People are biased against creative thinking, despite all of their insistence otherwise. Most people agree that what distinguishes those who become famously creative is their resilience. While creativity at times is very rewarding, it is not about happiness. Staw says a successful creative person is someone “who can survive conformity pressures and be impervious to social pressure.” To live creatively is a choice. You must make a commitment to your own mind and the possibility that you will not be accepted. You have to let go of satisfying people, often even yourself.
DeepZen turns your text into audio content that’s rich with the emotion, intonation and rhythm of the natural voice. But in a fraction of the time it takes to create traditional narration. And without the need for costly recording studios. We produce digital voice solutions for audiobooks, advertising, marketing, brand voices and other types of voice content, including podcasting, gaming and virtual assistants.
How to Move Your Lightroom Library to an External Drive
Many photographers put their pictures on their computer’s internal hard drive. This can be a great solution since even laptops now have fairly generous storage options compared to their counterparts in days gone by. It may take you a while to fill up a 1TB or larger internal drive even if you shoot in RAW, but at some point, you’re going to run out of space, and you’ll have to address this problem. Cloud storage is a good solution but often involves a monthly or yearly fee, and upgrading your internal drive can be expensive and time-consuming. One perfect solution is to migrate your entire Lightroom library to an external drive. While this might sound difficult and intimidating, it’s quite simple and is something that anyone can easily do.
Pointing Lightroom Classic to a New Drive - Lightroom Killer Tips
There comes a time in every photographer’s life when you need to move photos to a new drive (for some, this happens on a regular basis). This can also be a moment of worry where Lightroom Classic is concerned because you don’t want to accidentally cause a disconnect between the catalog and your photos. Thankfully, there is a useful function hidden in the Folder panel’s contextual menu to help with this process called, “Update Folder Location.”
This site will help you make a Mastobot! They're easy to make and free (for you) to run. To use this, create an account for your bot to use on a bot-friendly Mastodon instance (such as botsin.space) then fill in your instance down below to get started.
Andy Baio gives a real life “view” into color blindness. Apparently, the very idea of colorblindness is hard to visualize. Take a shot at looking through my eyes.
How an AI drawing program shook the art world in the 1970s | Boing Boing
In 1971, artist Harold Cohen (1928 – 2016) became a visiting scholar at Stanford's Artificial Intelligence Laboratory. There, he created a computer program called Aaron to answer the question, "What are the minimum conditions under which a set of marks functions as an image?" The first iteration of Aaron generated abstract drawings. Later iterations in the 1980s drew rocks, plants, people, and other animals. Cohen's program was one of the first examples of how AI could be used in creative fields like art. In a paper titled "How to Make a Drawing," which Cohen submitted to the National Bureau of Standards in 1982, he predicted that advancements in AI would result in a "cultural shock-wave of unprecedented proportions."
Welcome to Rethink Learning Design, an open resource that explores open and critical approaches to learning and instructional design. As learning design professionals and faculty strive to include more open approaches to teaching and learning, many have questions about how our practice can shift to incorporate pedagogical and epistemological changes. As many of our tools and processes are based on traditional, systematic and static models, how can we shift our thinking and approaches? Learning designers and other learning support specialists often encounter tensions in their daily practice, as they try to critically engage with institutionally mandated curriculum, provisioned tools and resources, and the dynamics of their roles as leaders, advocates, and colleagues. The contributions in this resource span a wide variety of practical explorations, provocations, and critical examinations of different approaches to designing for open and inclusive approaches to learning. Each contribution is designed as a springboard for further expansion and reframing, with activities or reflective questions that invite responses by experienced practitioners and students alike.
%2Fcdn.vox-cdn.com%2Fuploads%2Fchorus_asset%2Ffile%2F24539835%2FP10_Colorblind_Leading_the_Blind_236587.jpg?width=92&height=&ar=&mode=&format=avif&dpr=2)
