From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment
Speaking of recommended books (but from a more technical perspective this time), also see:
10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team) Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.
The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.
The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them.
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The team’s approach, called Video Pre-Training (VPT), gets around the bottleneck in imitation learning by training another neural network to label videos automatically.
“Most language learning software can help with the beginning part of learning basic vocabulary and grammar, but gaining any degree of fluency requires speaking out loud in an interactive environment,” Zwick told TechCrunch in an email interview. “To date, the only way people can get that sort of practice is through human tutors, which can also be expensive, difficult and intimidating.”
Speak’s solution is a collection of interactive speaking experiences that allow learners to practice conversing in English. Through the platform, users can hold open-ended conversations with an “AI tutor” on a range of topics while receiving feedback on their pronunciation, grammar and vocabulary.
It’s one of the top education apps in Korea on the iOS App Store, with over 15 million lessons started annually, 100,000 active subscribers and “double-digit million” annual recurring revenue.
If you last checked in on AI image makers a month ago & thought “that is a fun toy, but is far from useful…” Well, in just the last week or so two of the major AI systems updated.
You can now generate a solid image in one try. For example, “otter on a plane using wifi” 1st try: pic.twitter.com/DhiYeVMEEV
So, is this a cool development that will become a fun tool for many of us to play around with in the future? Sure. Will people use this in their work? Possibly. Will it disrupt artists across the board? Unlikely. There might be a few places where really generic artwork is the norm and the people that were paid very little to crank them out will be paid very little to input prompts. Look, PhotoShop and asset libraries made creating company logos very, very easy a long time ago. But people still don’t want to take the 30 minutes it takes to put one together, because thinking through all the options is not their thing. You still have to think through those options to enter an AI prompt. And people just want to leave that part to the artists. The same thing was true about the printing press. Hundreds of years of innovation has taught us that the hard part of the creation of art is the human coming up with the ideas, not the tools that create the art.
A quick comment from DSC: Possibly, at least in some cases. But I’ve seen enough home-grown, poorly-designed graphics and logos to make me wonder if that will be the case.
How to Teach With Deep Fake Technology — from techlearning.com by Erik Ofgang Despite the scary headlines, deep fake technology can be a powerful teaching tool
Excerpt:
The very concept of teaching with deep fake technology may be unsettling to some. After all, deep fake technology, which utilizes AI and machine learning and can alter videos and animate photographs in a manner that appears realistic, has frequently been covered in a negative light. The technology can be used to violate privacy and create fake videos of real people.
However, while these potential abuses of the technology are real and concerning that doesn’t mean we should turn a blind eye to the technology’s potential when using it responsibly, says Jaime Donally, a well-known immersive learning expert.
From DSC: I’m still not sure about this one…but I’ll try to be open to the possibilities here.
Recently, we spoke with three more participants of the AI Explorations program to learn about its ongoing impact in K-12 classrooms. Here, they share how the program is helping their districts implement AI curriculum with an eye toward equity in the classroom.
A hitherto stealth legal AI startup emerged from the shadows today with news via TechCrunch that it has raised $5 million in funding led by the startup fund of OpenAI, the company that developed advanced neural network AI systems such as GPT-3 and DALL-E 2.
The startup, called Harvey, will build on the GPT-3 technology to enable lawyers to create legal documents or perform legal research by providing simple instructions using natural language.
The company was founded by Winston Weinberg, formerly an associate at law firm O’Melveny & Myers, and Gabriel Pereyra, formerly a research scientist at DeepMind and most recently a machine learning engineer at Meta AI.
A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.
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Programmers have, of course, always studied, learned from, and copied each other’s code. But not everyone is sure it is fair for AI to do the same, especially if AI can then churn out tons of valuable code itself, without respecting the source material’s license requirements. “As a technologist, I’m a huge fan of AI ,” Butterick says. “I’m looking forward to all the possibilities of these tools. But they have to be fair to everybody.”
Whatever the outcome of the Copilot case, Villa says it could shape the destiny of other areas of generative AI. If the outcome of the Copilot case hinges on how similar AI-generated code is to its training material, there could be implications for systems that reproduce images or music that matches the style of material in their training data.
Also related to AI and art/creativity from Wired.com, see:
Picture Limitless Creativity at Your Fingertips— by Kevin Kelly Artificial intelligence can now make better art than most humans. Soon, these engines of wow will transform how we design just about everything.
Who Will Own the Art of the Future? — by Jessica Rizzo OpenAI has announced that it’s granting Dall-E users the right to commercialize their art. For now.
Soaring Travel Costs Put Lawyers Back on Zoom –– from kift.com Matthew Parsons Rising airfares and travel costs are prompting legal professionals involved in dispute resolutions to return to video conferencing.
With the cost of international air travel rising sharply, remote hearings are a practical alternative to in-person proceedings. International travel is expensive, and the virtual option means that it is no longer necessary to count travel as a “cost of doing business” when pursuing an international dispute. The widespread use of technology in global dispute resolution proceedings gives attorneys and their clients the option to participate remotely, which is a compelling cost saver for all parties.
Most debt lawsuits get decided without a fight. Michigan leaders want to change the rules. — from mlive.com by Matthew Miller Excerpt:
Most of the 1.9 million debt collection cases filed in Michigan’s district courts over the past decade or so never went to trial. Usually, the defendants don’t show up to court, and debt collectors win by default, according to data compiled by the Michigan Justice for All Commission. In most cases, the courts end up garnishing defendants’ wages, income tax returns or other assets, sometimes on the basis of complaints that include little more than the name of the creditor, an account number and the balance due.
And both debt lawsuits and garnishment are more common for people living in primarily Black neighborhoods, regardless of their income.
Members of the Commission say Michigan’s rules around debt collection lawsuits don’t do enough to protect regular people, who sometimes don’t find out they’ve been sued until they see money coming out of their paychecks.
An early participant in the Law Society of BC’s Innovation Sandbox, the Clinic offers the in-person and virtual help of 25 articling students located in 15 different BC communities —from Tofino to Cranbrook— with the support of 15 supervising lawyers, four staff and dozens of local mentors. Together, they provide fixed-fee services in a wide range of areas covering everyday legal problems.
The key to making this happen, I think, is to reorganize local schooling to take advantage of online (and increasingly, AI-generated) learning services, allowing in-person educators to adopt this coaching function.
As learning becomes more personalized, learning opportunities expanded and unbounded, and learning science research more robust, an updated and revised advisory role is more important than ever.
Redefining the coaching/mentor/advisor role as the educational landscape shifts is critical to ensure success for every learner.
NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer— from nvidianews.nvidia.com Tens of Thousands of NVIDIA GPUs, NVIDIA Quantum-2 InfiniBand and Full Stack of NVIDIA AI Software Coming to Azure; NVIDIA, Microsoft and Global Enterprises to Use Platform for Rapid, Cost-Effective AI Development and Deployment
Excerpt:
NVIDIA announced [on 11/16/22] a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models.
These are the most important AI trends, according to top AI experts— from nexxworks.com Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.
Excerpt:
All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.
Protein structures can be predicted using genetic data
Recognizing how climate change affects cities and regions
Analyzing astronomical data
AI in science examples
Interpreting social history with archival data
Using satellite images to aid in conservation
Understanding complex organic chemistry
Conclusion
Also relevant/see:
How ‘Responsible AI’ Is Ethically Shaping Our Future— from learningsolutionsmag.com by Markus Bernhardt Excerpt:
The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
In this article, we will discuss some of the most prominent and up-and-coming companies that provide these automated solutions that break down the language barrier.
Addendum on 11/17/22:
The State of Multilingual AI — from ruder.io This post takes a closer look at the state of multilingual AI. How multilingual are current models in NLP, computer vision, and speech? What are the main recent contributions in this area? What challenges remain and how we can we address them?
As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.
Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.
Let’s explore some real-life artificial intelligence applications.
Using Artificial Intelligence for Navigation
Marketers Use Artificial Intelligence to Increase Their Efficiency
The use of Artificial Intelligence in robotics
Gaming and Artificial Intelligence
Incorporating Artificial Intelligence into Lifestyles
Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization
While these seven AI roles are critical, finding talent to fill them is difficult. AI, machine learning, and data analytics are new fields, and few people have relevant experience.
This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.
3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.
Excerpts:
Supporting 1,000 languages with AI
Empowering creators and artists with AI
Addressing climate change and health challenges with AI
Maintaining a separate category for AI is getting difficult. We’re seeing important articles about AI infiltrating security, programming, and almost everything else; even biology. That sounds like a minor point, but it’s important: AI is eating the world. What does it mean when an AI system can reconstruct what somebody wants to say from their brainwave? What does it mean when cultured brain cells can be configured to play Pong? They don’t play well, but it’s not long since that was a major achievement for AI.
The creators of StableDiffusion have announced HarmonyAI, a community for building AI tools for generating music. They have released an application called Dance Diffusion.
You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…
Only, those were not my words.
An AI has written every single word in this essay up until here.
The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.
Google’s research arm on Wednesday showed off a whiz-bang assortment of artificial intelligence (AI) projects it’s incubating, aimed at everything from mitigating climate change to helping novelists craft prose.
Why it matters: AI has breathtaking potential to improve and enrich our lives — and comes with hugely worrisome risks of misuse, intrusion and malfeasance, if not developed and deployed responsibly.
Driving the news: The dozen-or-so AI projects that Google Research unfurled at a Manhattan media event are in various stages of development, with goals ranging from societal improvement (such as better health diagnoses) to pure creativity and fun (text-to-image generation that can help you build a 3D image of a skirt-clad monster made of marzipan).
… The “1,000 Languages Initiative”: Google is building an AI model that will work with the world’s 1,000 most-spoken languages.
AI “can have immense social benefits” and “unleash all this creativity,” said Marian Croak, head of Google Research’s center of expertise on responsible AI.
“But because it has such a broad impact on people, the risk involved can also be very huge. And if we don’t get that right … it can be very destructive.”
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And as Axios’ Scott Rosenberg has written, society is only just beginning to grapple with the legal and ethical questions raised by AI’s new capacity to generate text and images.
Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.
Excerpts:
This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”
This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.
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Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.
The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.
Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.
In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.
A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.
When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.
Soon everyone can have an alien intelligence in their inbox.
We had to reengineer things for AlphaFold 2 and put a whole bunch of new ideas in there and also bring onto the team some more specialists—biologists and chemists and biophysicists who worked in protein folding—and combine them with our engineering and machine-learning team.
… Were you surprised that AlphaFold was so successful? Yeah, it was surprising, actually. I think it’s definitely been the hardest thing we’ve done, and I would also say the most complex system we’ve ever built.
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