Free and Open Source Stories Digital Archive Foundation – Telling the Story of a Movement that Changed the World
As a new generation of tech innovators emerges, the FOSSDA Project aims to uncover and record the stories of the first generation of free and open source software developers, visionaries and strategists who challenged the establishment and changed how we interact with the world.
TheirStory streamlines the process of collecting, preserving, and engaging with the audiovisual stories of a community. Whose stories do you want to capture? Why are they important to you? How will you use them to spark discussion or inspire others to action? Whether you want to capture a loved one's story, surprise a loved one with stories from their friends, or elicit stories from an entire community, TheirStory helps to streamline the process of collecting, preserving, and putting to use the stories that make us who we are.
Yes, you read that title correctly! Although the lion didn’t quite get the chance to saunter through the woods in search of some tasty deer, it was lost for several days following a plane crash.
OpenRAIL: Towards open and responsible AI licensing frameworks
Open & Responsible AI licenses ("OpenRAIL") are AI-specific licenses enabling open access, use and distribution of AI artifacts while requiring a responsible use of the latter. OpenRAIL licenses could be for open and responsible ML what current open software licenses are to code and Creative Commons to general content: a widespread community licensing tool.
Fair Use: Training Generative AI - Creative Commons
Perhaps unsurprisingly to anyone who has been paying attention to the conversation around generative AI, the past year also saw the first lawsuits challenging the legality of these tools. First, in November, a group of programmers sued Github and OpenAI over the code generation tool, Github Copilot, alleging (among other things) that the tool improperly removes copyright management information from the code in its training data, in violation of the Digital Millennium Copyright Act, and reproduces code in its training data without following license agreement stipulations like attributing the code to its original author. Then, in January, a group of artists (represented by the same attorneys as in the Github lawsuit) sued Stability AI and Midjourney over their text-to-image art generation tools. In this second lawsuit, the artist-plaintiffs made several claims, all of which deserve discussion. In this blog post, I will address one of those claims: That using the plaintiffs’ copyrighted works (and as many as 5 billion other works) to train Stable Diffusion and Midjourney constitutes copyright infringement. As Creative Commons has argued elsewhere, and others agree, I believe that this type of use should be protected by copyright’s fair use doctrine. In this blog post I will discuss what fair use is, what purpose it serves, and why I believe that using copyrighted works to train generative AI models should be permitted under this law. I will address the other claims in both the Github and Stable Diffusion lawsuits in subsequent blog posts.
Copyright infringement in artificial intelligence art – TechnoLlama
AI is trained on data, in the case of graphic tools such as Imagen, Stable Diffusion, DALL·E, and MidJourney, the training sets consist of terabytes of images comprising photographs, paintings, drawings, logos, and anything else with a graphical representation. The complaint by some artists is that these models (and accompanying commercialisation) are being built on the backs of human artists, photographers, and designers, who are not seeing any benefit from these business models. The language gets very animated in some forums and chats rooms, often using terms such as “theft” and “exploitation”. So is this copyright infringement? Are OpenAI and Google about to get sued by artists and photographers from around the world?
A website's materials aren't HTML tags, CSS, or JavaScript code. Rather, they are its content and the context in which it's consumed. A website is for a visitor, using a browser, running on a computer to read, watch, listen, or perhaps to interact. A website that embraces Brutalist Web Design is raw in its focus on content, and prioritization of the website visitor. Brutalist Web Design is honest about what a website is and what it isn't. A website is not a magazine, though it might have magazine-like articles. A website is not an application, although you might use it to purchase products or interact with other people. A website is not a database, although it might be driven by one.
Open Educational Resources and their global needs, benefits and practices: The call for a future research agenda - IEEE Computer Society Technical Community on Learning Technology
This paper reports the global initiatives that advocate and promote open educational resources (OER) and focuses on the main benefits of OER for our global society. Comparing and integrating diverse publications and studies, 40 main benefits of OER can be identified in total, clustered in six categories, namely: character, financial, design, learners’, organisational and social benefits. Being justified by the broad benefits of OER, this paper argues that there is a need for creating a future OER research agenda. Such a global research coordination is currently lacking. Through their identified diverse benefits, OER can support learning designers, educators, learning providers and educational systems. And OER can also contribute to improve education worldwide and to achieve the Sustainable Development Goals (SDG) of the United Nations, in particular, SDG No. 4 to “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all”. The UNESCO Recommendation on OER offers a new opportunity to annually report on OER status and progress. Therefore, this paper calls open education and OER advocates to take local actions so that we can collectively make a global impact.
Alan Kay on the context and catalysts of personal computing
Alan Kay is a prolific computer scientist often referred to as the “father of personal computers." He's best known for his work on object-oriented programming languages, windowing graphical user interface design (also known as GUIs) and for leading the team that developed Smalltalk.
Create Frontend Dashboards for WordPress - WP Frontend Admin
Best Seller plugin for Creating Frontend Dashboards for regular WordPress sites, Multisite Networks, WaaS / SaaS platforms and Frontend Management of any site. Display admin pages in the Frontend with One Click.
Makerspaces as Digital Innovation Hubs for local smart production in Africa A transdisciplinary approach to connect European and African Digital Innovation Hubs to maximise their potential as spaces for digital innovation, skill building, job creation and contact points for global collaboration networks.
Open Know-Where is defining a mapping standard for documenting and sharing information about the location of manufacturing facilities and capabilities globally. This initiative is particularly interested in the accessibility of knowledge relating to making things useful in humanitarian and development situations. The specification is designed to be adopted by anyone who collects or shares data about manufacturing capabilities, including government, non government organisations (NGOs), aid agencies, mapping communities, makers and platforms.
In Our Time with Melvyn Bragg has been broadcast on BBC Radio 4 since 1998. Here’s the official site. There are almost a thousand episodes (974 listed here), on all kinds of topics, and they are all available to listen to on the BBC website. This unofficial site is about finding what to listen to next. → Directory – browse episodes by library topic → Archive – browse by year From an episode page, explore related episodes or tap on a guest to see other episodes in which they have appeared. The reading list is also shown, when available.
A toolkit for evaluating media literacy interventions - Ofcom
Welcome to Making Sense of Media’s Evaluation Toolkit – a series of how-to guides for planning and carrying out an evaluation of a media literacy intervention. The guides are complemented by two searchable online libraries: one listing media literacy initiatives and another media literacy research. We created this toolkit because we want to empower those running media literacy interventions to evaluate their own projects, and use and share those findings to support the delivery of more effective initiatives in the future. If you have any thoughts after using the toolkit, please let us know as we will be improving it in response to feedback.
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds. Create beautiful art using stable diffusion ONLINE for free.
"Previously on Math Class" - by Dan Meyer - Mathworlds
“Previously on [TV Show],” says the announcer in a flashback at the start of the show, followed by excerpts from previous episodes. Those flashbacks are, psychologically speaking, an attempt to take our “inert knowledge” of the show and activate it, making that knowledge available for new stories. The flashbacks remind us of a character’s nature because we are about to learn something new and different about that nature. We are reminded of events that happened in a particular place because we are about to see new and different events in that place. Paul Silvia’s research found that interest is generated by situations that are both novel and familiar. The flashback generates familiarity and the new episode generates novelty.
Creating a collection of 101 creative ideas to use AI in education – #creativeHE
This is an open invitation to all educators and students to co-create a collection of ideas on how AI tools such as chatGPT, DALL-E 2 and Midjourney could be used in inventive ways for learning, teaching and scholarship. Experimentation is at the heart of learning, teaching and scholarship. Being open to diverse ideas will help us make novel connections that can lead to new discoveries and insights to make a positive contribution to our world. Ideas shared may be in its embryonic stage, half-baked but worth exploring further through active and creative inquiry.
Setting up a local web server on macOS 12… - Apple Community
Here is my definitive guide to getting a local web server running on macOS 12 “Monterey”. This is meant to be a development platform so that you can build and test your sites locally, then deploy to an internet server. This User Tip only contains instructions for configuring the Apache server and Perl module. I have another User Tip for installing and configuring MySQL and email servers. Note: This user tip is specific to macOS 12 “Monterey”. Pay attention to your OS version. There have been significant changes since earlier versions of macOS.
Here is how platforms die: first, they are good to their users; then they abuse their users to make things better for their business customers; finally, they abuse those business customers to claw back all the value for themselves. Then, they die. I call this enshittification, and it is a seemingly inevitable consequence arising from the combination of the ease of changing how a platform allocates value, combined with the nature of a "two sided market," where a platform sits between buyers and sellers, hold each hostage to the other, raking off an ever-larger share of the value that passes between them.
(2) ChatGPT and DALL-E-2 — Show me the Data Sources | LinkedIn
Being a data person, I wondered about the data sources for training ChatGPT and DALL-E-2. We are all struggling with the heuristic nature of AI, but knowing where the data comes from might provide some insights into the kinds of outcomes we should expect. Further, there is a wide spread misconception that OpenAI scoured the entire web, training as it went, when the truth is that there was a lot of data curation that went into preparing the data used for training and not all of it was done by OpenAI.
Perplexity AI is an answer engine that delivers accurate answers to complex questions using large language models. Ask is powered by large language models and search engines. Accuracy is limited by search results and AI capabilities. May generate offensive or dangerous content
My perspective on ChatGPT (and creativity and teaching) – Learning and Technology
Despite the furor around ChatGPT at the moment, I’m not excited. I don’t think it will be the doom of academics or even current approaches to assessment and I also don’t think it is (or will be) a very good tool to incorporate into learning activities or any creative work. I think its indicative of some places where we might have new tools to help solve problems and spark creativity. In terms of learning technology we will eventually need to pivot our techniques to incorporate good AI assistance (or assistants), but I don’t think that’s where we are in January 2023. Large language models, which include GPT (Generative Pre-trained Transformer) also snuck up on me. These contain, for a given bit of text, a probabilistic model for what text might come next. The modern versions read terabytes of information and use them to calculate those probabilities and part of what makes GPT3 the current model (excluding the chat part) work as well as it does is that it uses very large bits of text, around about 2000 words at a time. When you ask these systems to write something, they’ll take some seed text and then see what words, probabilistically, should come next.
The Mastodon dashboards I’ve been developing and describing in this series are backed by a Steampipe plugin that translates SQL queries to Mastodon API calls. Like all Steampipe plugins you can use this one to run those queries in all sorts of ways: from psql or another Postgres CLI (perhaps via cron, perhaps in a CI/CD pipeline); from Metabase or Grafana or any Postgres-compatible BI tool; from Python or JavaScript or any programming language. The Steampipe core is a versatile software component that you can plug into just about any environment. There’s also, of course, Steampipe’s dashboards as code approach which powers the alternate Mastodon UX that I’ve been exploring in this series. You can think of this dashboarding tool as a primitive web browser with a freakish talent for querying Postgres and weaving SQL results into widgets such as infocards, input controls, charts, tables, and relationship graphs. You compose widgets using HCL (Hashicorp Configuration Language) instead of HTML, arrange them using basic layout syntax, and view them by connecting your browser to the local Steampipe dashboard server or to cloud.steampipe.io.
Rising Voices · Helping the global population join the global conversation
We are Rising Voices Helping bring new voices from new communities and speaking endangered or indigenous languages to the global conversation by facilitating the creation of peer learning networks to leverage the internet and digital media for their self-determined needs.
