With the advancements in Artificial Intelligence (AI), designers now have access to a wide array of free AI-powered tools that streamline their creative process, enhance productivity, and add a touch of uniqueness to their designs. In this article, we will explore ten such free AI tools websites for graphic designing that have revolutionized the way designers approach their craft.
Generative Art in Motion— from heatherbcooper.substack.com by Heather Cooper Animation and video tools create an explosion of creative expression
Google will soon require that political ads using artificial intelligence be accompanied by a prominent disclosure if imagery or sounds have been synthetically altered.
AI-generated election ads on YouTube and other Google platforms that alter people or events must include a clear disclaimer located somewhere that users are likely to notice, the company said in an update this week to its political content policy.
For many individuals stepping back into society after incarceration, finding a stable place to call home can be complicated. The reality is that those who have been previously incarcerated are almost 10 times more likely to face homelessness compared to the general public. With over 725,000 people leaving state and federal prisons each year, the quest for housing becomes not only a personal challenge but a broader societal concern. Stable housing is crucial for successful reintegration, providing a foundation for building a new chapter in life. In this article, we’ll shed light on the challenges and offer empowering resources for those on their journey to find housing after prison.
Table of Contents
Understanding the Housing Landscape
Utilizing Support Services
Creating a Housing Plan
Securing and Maintaining Housing
Continuing Personal Growth and Reintegration
Conclusion
From DSC: I’m posting this in the hopes that this information may help someone out there. Also, my dad used to donate some of his time in retirement to an agency that helped people find housing. He mentioned numerous times how important it was for someone to have a safe place to stay that they could call their own.
According to ElevenLabs, the new Multilingual v2 model promises it can produce “emotionally rich” audio in a total of 30 languages. The company offers two AI voice tools, one is a text-to-speech model and the other is the “VoiceLab” that lets paying users clone a voice by inputting fragments of theirs (or others) speech into the model to create a kind of voice cone. With the v2 model, users can get these generated voices to start speaking in Greek, Malay, or Turkish.
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Since then, ElevenLabs claims its integrated new measures to ensure users can only clone their own voice. Users need to verify their speech with a text captcha prompt which is then compared to the original voice sample.
From DSC: I don’t care what they say regarding safeguards/proof of identity/etc. This technology has been abused and will be abused in the future. We can count on it. The question now is, how do we deal with it?
Introducing SeamlessM4T, the first all-in-one, multilingual multimodal translation model.
This single model can perform tasks across speech-to-text, speech-to-speech, text-to-text translation & speech recognition for up to 100 languages depending on the task.
But Hugging Face produces a platform where AI developers can share code, models, data sets, and use the company’s developer tools to get open-source artificial intelligence models running more easily. In particular, Hugging Face often hosts weights, or large files with lists of numbers, which are the heart of most modern AI models.
While Hugging Face has developed some models, like BLOOM, its primary product is its website platform, where users can upload models and their weights. It also develops a series of software tools called libraries that allow users to get models working quickly, to clean up large datasets, or to evaluate their performance. It also hosts some AI models in a web interface so end users can experiment with them.
Numerous skills are required to grow the semiconductor ecosystem over the next decade. Globally, we will need tens of thousands of skilled tradespeople to build new plants to increase and localize manufacturing capacity: electricians, pipefitters, welders; thousands more graduate electrical engineers to design chips and the tools that make the chips; more engineers of various kinds in the fabs themselves, but also operators and technicians. And if we grow the back end in Europe and the Americas, that equates to even more jobs.
Each of these job groups has distinct training and educational needs; however, the number of students in semiconductor-focused programs (for example, undergraduates in semiconductor design and fabrication) has dwindled. Skills are also evolving within these job groups, in part due to automation and increased digitization. Digital skills, such as cloud, AI, and analytics, are needed in design and manufacturing more than ever.
The chip industry has long partnered with universities and engineering schools. Going forward, they also need to work more with local tech schools, vocational schools, and community colleges; and other organizations, such as the National Science Foundation in the United States.
Principle #1: AI is here, and we will embrace it responsibly together with our music partners.
Principle #2: AI is ushering in a new age of creative expression, but it must include appropriate protections and unlock opportunities for music partners who decide to participate.
Principle #3: We’ve built an industry-leading trust and safety organization and content policies. We will scale those to meet the challenges of AI.
Brett Bauman, the developer of PlayListAI (previously LinupSupply), launched a new app called Songburst on the App Store this week. The app doesn’t have a steep learning curve. You just have to type in a prompt like “Calming piano music to listen to while studying” or “Funky beats for a podcast intro” to let the app generate a music clip.
If you can’t think of a prompt the app has prompts in different categories, including video, lo-fi, podcast, gaming, meditation and sample.
A Generative AI Primer— from er.educause.edu by Brian Basgen Understanding the current state of technology requires understanding its origins. This reading list provides sources relevant to the form of generative AI that led to natural language processing (NLP) models such as ChatGPT.
Three big questions about AI and the future of work and learning — from workshift.opencampusmedia.org by Alex Swartsel AI is set to transform education and work today and well into the future. We need to start asking tough questions right now, writes Alex Swartsel of JFF.
How will AI reshape jobs, and how can we prepare all workers and learners with the skills they’ll need?
How can education and workforce leaders equitably adopt AI platforms to accelerate their impact?
How might we catalyze sustainable policy, practice, and investments in solutions that drive economic opportunity?
“As AI reshapes both the economy and society, we must collectively call for better data, increased accountability, and more flexible support for workers,” Swartsel writes.
As the 2024 campaign season begins, AI image generators have advanced from novelties to powerful tools able to generate photorealistic images, while comprehensive regulation lags behind.
Why it matters: As more fake images appear in political ads, the onus will be on the public to spot phony content.
Go deeper: Can you tell the difference between real and AI-generated images? Take our quiz:
The Chief AI Officer is a relatively new job role, yet becoming increasingly more important as businesses invest further into AI.
Now more than ever, the workplace must prepare for AI and the immense opportunities, as well as challenges, that this type of evolving technology can provide. This job position sees the employee responsible for guiding companies through complex AI tools, algorithms and development. All of this works to ensure that the company stays ahead of the curve and capitalises on digital growth and transformation.
NVIDIA-related items
SIGGRAPH Special Address: NVIDIA CEO Brings Generative AI to LA Show— from blogs.nvidia.com by Brian Caulfield Speaking to thousands of developers and graphics pros, Jensen Huang announces updated GH200 Grace Hopper Superchip, NVIDIA AI Workbench, updates NVIDIA Omniverse with generative AI.
Nvidia announced a new chip designed to run artificial intelligence models on Tuesday .
Nvidia’s GH200 has the same GPU as the H100, Nvidia’s current highest-end AI chip, but pairs it with 141 gigabytes of cutting-edge memory, as well as a 72-core ARM central processor.
“This processor is designed for the scale-out of the world’s data centers,” Nvidia CEO Jensen Huang said Tuesday.
The advancement of robotics and artificial intelligence (AI) has paved the way for a new era in warfare. Gone are the days of manned ships and traditional naval operations. Instead, the US Navy’s Task Force 59 is at the forefront of integrating AI and robotics into naval operations. With a fleet of autonomous robot ships, the Navy aims to revolutionize the way wars are fought at sea.
From DSC: Crap. Ouch. Some things don’t seem to ever change. Few are surprised by this development…but still, this is a mess.
Altman, who has become the face of the recent hype cycle in AI development, feels that humans could be persuaded politically through conversations with chatbots or fooled by AI-generated media.
Welcome to the latest issue of your guide to AI, an editorialized newsletter covering key developments in AI policy, research, industry, and startups. This special summer edition (while we’re producing the State of AI Report 2023!) covers our 7th annual Research and Applied AI Summit that we held in London on 23 June.
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Below are some of our key takeaways from the event and all the talk videos can be found on the RAAIS YouTube channel here. If this piques your interest to join next year’s event, drop your details here.
Gen AI, however, eliminates the lengthy search. It can parse a natural language query, synthesize the necessary information and serve up the answers the agent is looking for in a neatly summarized response, slashing call times dramatically.
Not only do its AI voices sound exactly like a human, but they can sound exactly like YOU. All it takes is 6 (six!) seconds of your voice, and voila: it can replicate you saying any sentence in any tone, be it happy, sad, or angry.
The use cases are endless, but here are two immediate ones:
Hyperpersonalized content.
Imagine your favorite Netflix show but with every person hearing a slightly different script.
Customer support agents.
We’re talking about ones that are actually helpful, a far cry from the norm!
[NEW] – Joshua Avatar 2.0 ??. Both of these video clips were 100% AI-generated, featuring my own avatar and voice clone. ???
We’ve made massive enhancements to our life-style avatar’s video quality and fine-tuned our voice technology to mimic my unique accent and speech… pic.twitter.com/9EgxRA69dg
For Wiese, it was all a big, expensive gamble — and, in one form or another, is one millions of people with criminal records take every year as they pursue education and workforce training on their way to jobs that require a license. Yet that effort might be wasted thanks to the nearly 14,000 laws and regulations that can restrict individuals with arrest and conviction histories from getting licensed in a given field.
Here’s the list of sources: https://t.co/fJd4rh8kLy. The larger resource area at https://t.co/bN7CReGIEC has sample ChatGPT essays, strategies for mitigating harm, and questions for teachers to ask as well as a listserv.
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 11, 2023
Microsoft is reportedly eyeing a $10 billion investment in OpenAI, the startup that created the viral chatbot ChatGPT, and is planning to integrate it into Office products and Bing search.The tech giant has already invested at least $1 billion into OpenAI. Some of these features might be rolling out as early as March, according to The Information.
This is a big deal. If successful, it will bring powerful AI tools to the masses.So what would ChatGPT-powered Microsoft products look like? We asked Microsoft and OpenAI. Neither was willing to answer our questions on how they plan to integrate AI-powered products into Microsoft’s tools, even though work must be well underway to do so. However, we do know enough to make some informed, intelligent guesses. Hint: it’s probably good news if, like me, you find creating PowerPoint presentations and answering emails boring.
I have maintained for several years, including a book ‘AI for Learning’, that AI is the technology of the age and will change everything. This is unfolding as we speak but it is interesting to ask who the winners are likely to be.
People who have heard of GPT-3 / ChatGPT, and are vaguely following the advances in machine learning, large language models, and image generators. Also people who care about making the web a flourishing social and intellectual space.
That dark forest is about to expand. Large Language Models (LLMs) that can instantly generate coherent swaths of human-like text have just joined the party.
It is in this uncertain climate that Hassabis agrees to a rare interview, to issue a stark warning about his growing concerns. “I would advocate not moving fast and breaking things.”
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“When it comes to very powerful technologies—and obviously AI is going to be one of the most powerful ever—we need to be careful,” he says. “Not everybody is thinking about those things. It’s like experimentalists, many of whom don’t realize they’re holding dangerous material.” Worse still, Hassabis points out, we are the guinea pigs.
Demis Hassabis
Excerpt (emphasis DSC):
Hassabis says these efforts are just the beginning. He and his colleagues have been working toward a much grander ambition: creating artificial general intelligence, or AGI, by building machines that can think, learn, and be set to solve humanity’s toughest problems.Today’s AI is narrow, brittle, and often not very intelligent at all. But AGI, Hassabis believes, will be an “epoch-defining” technology—like the harnessing of electricity—that will change the very fabric of human life. If he’s right, it could earn him a place in history that would relegate the namesakes of his meeting rooms to mere footnotes.
But with AI’s promise also comes peril.In recent months, researchers building an AI system to design new drugs revealed that their tool could be easily repurposed to make deadly new chemicals. A separate AI model trained to spew out toxic hate speech went viral, exemplifying the risk to vulnerable communities online. And inside AI labs around the world, policy experts were grappling with near-term questions like what to do when an AI has the potential to be commandeered by rogue states to mount widespread hacking campaigns or infer state-level nuclear secrets.
Headteachers and university lecturers have expressed concerns that ChatGPT, which can provide convincing human-sounding answers to exam questions, could spark a wave of cheating in homework and exam coursework.
Now, the bot’s makers, San Francisco-based OpenAI, are trying to counter the risk by “watermarking” the bot’s output and making plagiarism easier to spot.
Students need now, more than ever, to understand how to navigate a world in which artificial intelligence is increasingly woven into everyday life. It’s a world that they, ultimately, will shape.
We hail from two professional fields that have an outsize interest in this debate. Joanne is a veteran journalist and editor deeply concerned about the potential for plagiarism and misinformation. Rebecca is a public health expert focused on artificial intelligence, who champions equitable adoption of new technologies.
We are also mother and daughter. Our dinner-table conversations have become a microcosm of the argument around ChatGPT, weighing its very real dangers against its equally real promise. Yet we both firmly believe that a blanket ban is a missed opportunity.
ChatGPT: Threat or Menace? — from insidehighered.com by Steven Mintz Are fears about generative AI warranted?
The rapid pace of change is driven by a “perfect storm” of factors, including the falling cost of computing power, the rise of data-driven decision-making, and the increasing availability of new technologies. “The speed of current breakthroughs has no historical precedent,”concluded Andrew Doxsey, co-founder of Libra Incentix, in an interview. “Unlike previous technological revolutions, the Fourth Industrial Revolution is evolving exponentially rather than linearly. Furthermore, it disrupts almost every industry worldwide.”
An updated version of the AI chatbot ChatGPT was recently released to the public.
I got the chatbot to write cover letters for real jobs and asked hiring managers what they thought.
The managers said they would’ve given me a call but that the letters lacked personality.
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I mentor a young lad with poor literacy skills who is starting a landscaping business. He struggles to communicate with clients in a professional manner.
I created a GPT3-powered Gmail account to which he sends a message. It responds with the text to send to the client. pic.twitter.com/nlFX9Yx6wR
The Justice Gap: The Unmet Civil Legal Needs of Low-income Americans — from the Legal Services Corporation
Legal Services Corporation’s 2022 Justice Gap Report provides a comprehensive look at the differences between the civil legal needs of low-income Americans and the resources available to meet those needs. LSC’s study found that low-income Americans do not get the help they need for 92% of their civil legal problems, even though 74% of low-income households face at least one civil legal issue in a single year.
The consequences that result from a lack of appropriate counsel can be life-altering – low-income Americans facing civil legal problems can lose their homes, children and healthcare, among other things. Help can be hard to access, so LSC is working to bridge this “justice gap” by providing pro bono civil legal aid for those in need. Find out more about LSC’s work to ensure equal justice for all by tuning in to the rest of the Justice Gap video series.
November 13, 2022 Projections show the global population will surpass 8 billion people on November 15, and in 2023, India is expected to surpass China to become the world’s most populous nation. It was only 11 years ago that the world reached the last billion; these milestones generate considerations of resource allocation, food security, climate change, and more. Already, one in nine people can’t get enough to eat every day, even while 33 to 40 percent of our food is lost or wasted each year, according to research from senior partners Clarisse Magnin and Björn Timelin. As we continue to grow, how can we support an unprecedented population while raising the quality of life for all? Explore our insights to learn more about how to avoid a food crisis, common misconceptions around global migration, the future of an aging population, and more.
This week on Tuesday, it’s projected that a baby will be born somewhere on Planet Earth that brings the population to 8 billion people. Notably, the global population reached 7 billion people just eleven years ago. When I was born, in 1962, there was 3 billion people, and the United States had a population of 180 million versus roughly 335 million today.
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What we know from Nobel Laureate Economist James Heckman out of the University of Chicago is that $1 invested in early childhood education produces a $7 return in economic gain. Moreover, while investment in education produces a compelling return at all stages, the earlier you invest in education, the higher the return.
From DSC: I virtually attended theLaw 2030 Conference (Nov 3-4, 2022).Jennifer Leonard and staff from the University of Pennsylvania’s Carey Law School put together a super conference! It highlighted the need for change within the legal industry. A major shout out to Jennifer Leonard, Theodore Ruger (Law School Dean), and others!
I really appreciate Jen’s vision here, because she recognizes that the legal industry needs to involve more disciplines, more specialists, and others who don’t have a JD Degree and/or who haven’t passed the Bar. On Day 1 of the conference (in the afternoon), Jen enlisted the help of several others to use Design Thinking to start to get at possible solutions to our entrenched issues.
America, our legal system is being tightly controlled and protected — by lawyers. They are out to protect their turf — no matter the ramifications/consequences of doing so. This is a bad move on many lawyers part. It’s a bad move on many Bar Associations part. Lawyers already have some major PR work to do — but when America finds out what they’ve been doing, their PR problems are going to be that much larger. I’d recommend that they change their ways and really start innovating to address the major access to justice issues that we have in the United States.
One of the highlights for me was listening to the powerful, well-thought-out presentation from Michigan’s Chief Justice Bridget McCormack — it was one of the best I’ve ever heard at a conference! She mentioned the various stakeholders that need to come to the table — which includes law schools/legal education. I also appreciated Jordan Furlong’s efforts to deliver a 15-minute presentation (virtual), which it sounded like he worked on most of the night when he found out he couldn’t be there in person! He nicely outlined the experimentation that’s going on in Canada.
Here’s the recording from Day 1:
Jeff Selingo’s comments this week reminded me that those of us who have worked in higher education for much of our careers also have a lot of work to do as well.
Building on the trends, technologies, and practices described in the 2022 Horizon Report: Teaching and Learning Edition, the panel crafted its vision of the future along with practical action items the teaching and learning community can employ to make this future a reality. Any stakeholder in higher education who teaches in or supports hybrid learning modalities will find this report helpful in preparing for the future of hybrid learning. The future we want is within reach, but only if we work together.
Asked to describe the goals and elements of hybrid learning that they would like to see 10 years from now, panelists collaboratively constructed their preferred future for institutions, students, instructors, and staff.
Institutions
Higher education is available on demand.
Learning is not measured by seat time.
Collaboration across institutions facilitates advancement.
College and university campuses are not the sole locations for learning spaces.
Students, Instructors, and Staff
Everything is hybrid.
Student equity is centered in all modalities.
Professional development is ongoing, integrated, and valued.
For an industry in the 21st century whose main accreditation/governance body for law schools still won’t let more online learning occur without waivers…how can our nation expect future lawyers and law firms to be effective in an increasingly tech-enabled world?
