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Transforming Lives through Sustainable Social Practices of Human Rights under Socioecoethical Model (SEEM) of Human Rights Education and Social Work Your one-stop to FREE human rights education, green education, value-based activities, socio-academic counseling, free professional development, & social help under socioecoethical model
Imagine a world in which human knowledge is shared more equitably. Imagine what we can achieve if we work together. We are a collaborative community of engaged institutions, organisations and individuals across the world. We need to act intentionally to change the way we share knowledge to make the most meaningful impact, for the benefit of all. Our goal is to tackle global challenges through opening access to ground-breaking research and research-led, challenge-focused education. We live in a time of climate crisis, economic instability, inequity, poverty and forced population displacements. These are challenges that threaten the health and wellbeing of people all over the world. The global Higher Education sector can tackle these challenges, but only when knowledge is shared, unhindered by barriers of cost, time or national borders. The Knowledge Equity Network encourages collaboration over competition in a culture of equity, diversity, inclusion and openness. We believe transformational change is possible. Working in a global partnership and by sharing the power of knowledge, we will create a fairer and better world.
Mooler0410/LLMsPracticalGuide: A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
A curated (still actively updated) list of practical guide resources of LLMs. It's based on our survey paper: Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond and efforts from @xinyadu. The survey is partially based on the second half of this Blog. We also build an evolutionary tree of modern Large Language Models (LLMs) to trace the development of language models in recent years and highlights some of the most well-known models. These sources aim to help practitioners navigate the vast landscape of large language models (LLMs) and their applications in natural language processing (NLP) applications. We also include their usage restrictions based on the model and data licensing information. If you find any resources in our repository helpful, please feel free to use them (don't forget to cite our paper! 😃). We welcome pull requests to refine this figure!
A next-generation AI assistant for your tasks, no matter the scale. Claude is a next-generation AI assistant based on Anthropic’s research into training helpful, honest, and harmless AI systems. Accessible through chat interface and API in our developer console, Claude is capable of a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability. Claude can help with use cases including summarization, search, creative and collaborative writing, Q&A, coding, and more. Early customers report that Claude is much less likely to produce harmful outputs, easier to converse with, and more steerable - so you can get your desired output with less effort. Claude can also take direction on personality, tone, and behavior.
What happens when AI reads a book 🤖📖 - by Ethan Mollick
So might AI, the technology of the moment, change the way we interact with books? To test this we would need both an AI with a memory large enough to hold a book, and an author who knows their own book well enough to judge the AIs results. Dear reader, we have both. Anthropic’s Claude1, one of the three major foundational Large Language Models, now has enough memory to hold a short book (technically it has a context window of 100,000 tokens, which is around 70,000 words), and I happen to have written a short book on entrepreneurship (29,868 words) a couple years ago. I pasted the latter into the former, and ran some experiments.
Shifting tides: the open movement at a turning point · Open Future
At the turn of 2022 and 2023, we conducted a series of interviews with leading voices in the open movement. We spoke with professional activists, who address openness from varied perspectives and work in different fields of open. Some have been engaged in activism for decades, while others are looking at it with a fresh set of eyes. Many of our interviewees lead organizations advancing openness, and we were particularly interested in talking with those who have been exploring new approaches and strategies. Our research aims to understand the current state of the open movement, as seen through the eyes of people actively involved in its endeavors and leading organizations within the movement. We want to make sense of shared positions and understand whether there are any clear division lines. We are particularly interested in identifying trends that transform the movement and understanding the challenges and needs of activists and organizations as these changes occur. The report signals a shift to what can be best described as a post-copyright approach to openness. However, while our focus is on how the movement is changing, this does not mean that the whole movement is subject to that shift. There still exists a need for copyright advocacy work in the movement, and many organizations maintain the course developed at the outset. Nonetheless, we hope that they, too, will find this report’s insights worth examining. We also want to understand how and whether the open movement can be perceived as a whole. There have been studies and reports focused on a single field of openness, such as Open Access or Open Data, but relatively few attempts to understand this broader activist space. To fill this gap, we have conducted two parallel studies that offer a view that connects the historical context of the movement’s development in the last 20-30 years, the current zeitgeist and technological landscape, and finally the perspective of future challenges. One of them, called Fields of open. Mapping the open movement, is an exploratory mapping of the movement, using network analysis methods and data collected from Twitter. The other one, the one you are currently reading, is a qualitative survey of Open Movement leaders. At Open Future, we talk about the future of open and the need to redefine and reimagine some of our goals and activist strategies. We believe that having a perspective that connects the different fields of open activism is valuable. A shared movement identity and a shared advocacy agenda can make our collective effort stronger. With this study, we aim to see whether this perspective is shared and whether it can form a basis for building a shared movement agenda for the decades to come.
About the OECD Artificial Intelligence Policy Observatory - OECD.AI - OECD.AI
The OECD AI Policy Observatory (OECD.AI) builds on the momentum of the OECD’s Recommendation on Artificial Intelligence (“OECD AI Principles”) – the first intergovernmental standard on AI – adopted in May 2019 by OECD countries and adhered to by range of partner economies. The OECD AI Principles provided the basis for the G20 AI Principles endorsed by Leaders in June 2019. OECD.AI combines resources from across the OECD, its partners and all stakeholder groups. OECD.AI facilitates dialogue between stakeholders while providing multidisciplinary, evidence-based policy analysis in the areas where AI has the most impact. As an inclusive platform for public policy on AI – the OECD AI Policy Observatory is oriented around core attributes....
This exhibition presents the preliminary major research project ideas of OCAD University’s Inclusive Design 2019/2021 cohort. These projects explore a spectrum of themes, ranging from healthcare, to sensory experiences, to storytelling and services for cultural communities, to neurodiversity, and finally, to design practices and processes themselves.
The rapid progress of Large Language Models (LLMs) has made them capable of performing astonishingly well on various tasks including document completion and question answering. The unregulated use of these models, however, can potentially lead to malicious consequences such as plagiarism, generating fake news, spamming, etc. Therefore, reliable detection of AI-generated text can be critical to ensure the responsible use of LLMs. Recent works attempt to tackle this problem either using certain model signatures present in the generated text outputs or by applying watermarking techniques that imprint specific patterns onto them. In this paper, both empirically and theoretically, we show that these detectors are not reliable in practical scenarios. Empirically, we show that paraphrasing attacks, where a light paraphraser is applied on top of the generative text model, can break a whole range of detectors, including the ones using the watermarking schemes as well as neural network-based detectors and zero-shot classifiers. We then provide a theoretical impossibility result indicating that for a sufficiently good language model, even the best-possible detector can only perform marginally better than a random classifier. Finally, we show that even LLMs protected by watermarking schemes can be vulnerable against spoofing attacks where adversarial humans can infer hidden watermarking signatures and add them to their generated text to be detected as text generated by the LLMs, potentially causing reputational damages to their developers. We believe these results can open an honest conversation in the community regarding the ethical and reliable use of AI-generated text.
This random restaurant bot account is the best thing on Twitter | Mashable
The concept is simple: a Twitter account that posts random restaurants from around the world. That's it. Random restaurants, random places, random photos posted by users. And yet, I'd argue it's the best thing going on Twitter right now. It's an account called @_restaurant_bot(opens in a new tab) and before I get too deep into it, please enjoy a few posts.
This is the source for https://twitter.com/_restaurant_bot Its a node app (that i wrote in an afternoon, apologies if its... not that good), you'll need credentials for google maps api and twitter api to run it, although i guess you could use it without twitter just console log the text and check to see if the images downloaded, if you want to make bots but dont know how to get started check out this guide
Paragraphica – Context to image (AI) camera – CreativeApplications.Net
Created by Bjørn Karmann, Paragraphica is a camera that utilizes location data and AI to visualize a “photo” of a specific place and moment. The camera exists both as a physical prototype and an online camera that you can try. The viewfinder displays a real-time description of your current location, and by pressing the trigger, the camera will create a photographic representation of that description. On the camera, there are three dials that let you control the data and AI parameters to influence the appearance of the photo, similar to how a traditional camera is operated.
There's Something in the Air: Podcasting in Education | EDUCAUSE Review
A complete history of podcasting would likely double the length of this essay. Fortunately, there's already a good one available at Wikipedia: http://en.wikipedia.org/wiki/Podcast. As the article notes, podcasting is a portmanteau word that combines iPod with broadcasting. The term is mildly controversial, since it privileges the Apple iPod and to some people implies that one must own an iPod to listen to a podcast. But podcasting is not limited to the iPod or even to MP3s or portable music players. In some respects, podcasting is not even new: both streaming and downloadable audio are as old as the World Wide Web, and the RSS specification that enables podcasting has been around for several years.1 What's new about podcasting is the ease of publication, ease of subscription, and ease of use across multiple environments, typically over computer speakers, over a car stereo, and over headphones, all while the listener is walking or exercising or driving or traveling or otherwise moving about.
wp-now: Launch a Local Environment in Seconds | Developer Resources
As a developer, it’s frustrating to constantly deal with configurations, install various libraries, and commercial licenses. We enjoy writing code, building things, and shipping products that help people. Code is poetry. wp-now is a new, zero-config development environment we recently contributed to the WordPress Playground. Currently in its alpha stage, wp-now is already the fastest and easiest way to spin up a local WordPress site. We want to help developers focus on what matters most, which is transforming caffeine into lines of code and shipping products quickly.
Superintelligence: The Idea That Eats Smart People
Today we're building another world-changing technology, machine intelligence. We know that it will affect the world in profound ways, change how the economy works, and have knock-on effects we can't predict. But there's also the risk of a runaway reaction, where a machine intelligence reaches and exceeds human levels of intelligence in a very short span of time. At that point, social and economic problems would be the least of our worries. Any hyperintelligent machine (the argument goes) would have its own hypergoals, and would work to achieve them by manipulating humans, or simply using their bodies as a handy source of raw materials. Last year, the philosopher Nick Bostrom published Superintelligence, a book that synthesizes the alarmist view of AI and makes a case that such an intelligence explosion is both dangerous and inevitable given a set of modest assumptions. The computer that takes over the world is a staple scifi trope. But enough people take this scenario seriously that we have to take them seriously. Stephen Hawking, Elon Musk, and a whole raft of Silicon Valley investors and billionaires find this argument persuasive. Let me start by laying out the premises you need for Bostrom's argument to go through:
Thought experiment in the National Library of Thailand | by Emily M. Bender | May, 2023 | Medium
With the advent of ChatGPT, large language models (LLMs) went from a relatively niche topic to something that many, many people have been exposed to. ChatGPT is presented as an entertaining system to chat with, a dialogue partner, and (through Bing) a search interface.* But fundamentally, it is a language model, that is, a system trained to produce likely sequences of words based on the distributions in its training data. Because it models those distributions very closely, it is good at spitting out plausible sounding text, in different styles. But, as always, if this text makes sense it’s because we, the reader, are making sense of it.
Fluid lets you create a Real Mac App (or "Fluid App") out of any website or web application, effectively turning your favorite web apps into OS X desktop apps. Creating a Fluid App out of your favorite website is simple. Enter the website's URL, provide a name, and optionally choose an icon. Click "Create", and within seconds your chosen website has a permanent home on your Mac as a real Mac application that appears in your Dock. Fluid is free. You can download Fluid for free and create as many Fluid Apps as you like.
[Presentation] Coding in no-code: Extending AppSheet functionality… with code. + reflections from Google I/O Extended Edinburgh 2023 – By @mhawksey
As part of Google I/O Extended I recently had the opportunity to speak to GDG Edinburgh to highlight the opportunities in Google AppSheet and coding solutions. For more context the summary of talk is below: Google AppSheet is a powerful no-code platform for the rapid development of apps. Vikas Anand, Google Cloud has noted “the democratization of software creation is also gaining ground within organizations, and by 2024 more than 65% of applications will be developed by low-code tools”. Whilst tools like AppSheet are pitched at no/low coders it doesn’t mean there are zero coding opportunities. In this talk we will highlight how AppSheet can be integrated with other Google Workspace APIs, showcasing how AppSheet can be used to interface a Grab n Go Chrome Loaner solution.
Setting Up Your Local Web Server on macOS Big Sur 11.0.1 (2020)| MAMP Setup on mac | macOS, Apache, MySQL, PHP - Tech CookBook
Apple released its 2020 newest macOS Big Sur on November 12, 2020. It is a time of the year again that you might need to reconfigure your macOS if you are upgrading from the macOS Catalina. Or if you have a new macOS, follow the below steps to enable your local web server on macOS Big Sur (version 11.0.1)
It’s quick and simple to convert HTML to PDF with Prince. HTML is seamlessly transformed into documents you can print, download and archive. Prince enables you to typeset, format and print HTML content so you can be your own publisher.
See your identity pieced together from stolen data - ABC News
See your identity pieced together from stolen data Have you ever wondered how much of your personal information is available online? Here’s your chance to find out.
If you ask someone to meet you at the front page of the internet, where they will turn will depend on their habits, personal networks, and what year it is. Maybe they'll put a CD-Rom they received in a cereal box into their computer and patiently sit through a sequence of artificial noises, hoping to find you on the other side. Maybe they'll visit their favorite search engine, the source node for any place whose url is not known (or too burdensome to type). Maybe they'll visit a web forum or social network, allowing the wisdom of an individual, a crowd, or an algorithm to guide them to you. No one would mistake a word processor for the front page of the internet, not unless their computer is nothing more than a typewriter. A hammer is not a portal, and Google Docs, the word processor of our time, is nothing more than a hammer to the nail of language. Right? Slow down. Google Docs may wear the clothing of a tool, but their affordances teem over, making them so much more. After all, you're reading this doc right now, and as far as I know I'm not using a typewriter, and you're not looking over my shoulder. This doc is public, and so are countless others. These public docs are web pages, but only barely — difficult to find, not optimized for shareability, lacking prestige. But they form an impossibly large dark web, a web that is dark not as a result of overt obfuscation but because of a softer approach to publishing. I call this space the “doc web,” and these are its axioms.
Tactile graphics, sometimes referred to as the haptic sensory modality, deliver information through touch. They often accompany Braille textbooks to convey content in maps, charts, building layouts, schematic diagrams, and images of geometric figures. Tactile graphics are often handmade by Braille transcribers as part of Braille textbook production. In some cases, the creation of tactile graphics is facilitated by automated processes using various software applications. Some methods used to create tactile graphics are described below.
H5P Online Interactive Activities Provide An Alternative To Lectures | Request PDF
Research suggests that the traditional mode of teaching via lectures is ineffective, does not engage students in their learning, and results in poorer student outcomes than active learning experiences. At Victoria University, a blended learning model was adopted and the lecture delivery format was replaced with active learning workshops. One method that was used to deliver the theoretical and technical content was with Online Interactive Activities (Wilkie, Zakaria, and McDonald, 2017). Examples are presented of the variety of activities that were developed, the process that was used to transform lecture format into interactive activities, and analyses (qualitative and quantitative) on student and staff impact.
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